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kantale/lesson_9.ipynb

Created December 15, 2016 17:02
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Εισαγωγή στον προγραμματισμό με τη γλώσσα python, Διάλεξη 9, pandas
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lesson_9.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Σημείωσεις για το μάθημα \"Προγραμματισμός σε python\"**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Αλέξανδρος Καντεράκης [kantale@ics.forth.gr](mailto:kantale@ics.forth.gr)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Διάλεξη 9η, 15 Δεκεμβρίου 2016"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Το [pandas](http://pandas.pydata.org/) είναι μία βιβλιοθήκη σε python για ανάλυση δεδομένων. Υιοθετεί τη φιλοσοφία της Matlab και R για οργάνωση 2-διάδαστων δεδομένων σε μία ειδική δομή που ονομάζεται data frame. Στη βιοπληροφορική το pandas συνήθως είναι χρήσιμο για να κάνοθμε εργασίες που συνήθως γίνονται με το excel. Τα πλεονεκτήματα του pandas είναι:\n",
"\n",
"* Πάρα πολύ γρήγορο. Είναι υλοποιημένο σε C (η python \"τρέχει\" από πάνω) και έχει πολύ καλή απόδοση για πίνακες που έχουν μέχρι και εκατομύτια από γραμμές.\n",
"* Παρέχει ένα interface το οποίο προσομοιάζει τις βάσεις δεδομένων. Με αυτόν τον τρόπο μπορούμε να γράφουμε σύντομες εκφράσεις που κάνουν πολύπλοκες διεργασίες.\n",
"* Υποστηρίζεται από τρίτες βιβλιοθήκες για visualization, Machine Learning (π.χ. [sci-kit](http://scikit-learn.org/stable/) και στατιστική (π.χ. [statmodels](http://statsmodels.sourceforge.net/).\n",
"* Παρέχει δικές του μεθόδους για γρήγορο plotting και στατιστική ανάλυση\n",
"* Εύκολη και γρήγορο input / output σε διάφορα formats (excel included)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Συνήθως κάνουμε import το pandas ως εξής:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Αν δεν υπάρχει εγκαταστημένων τότε μπορείτε να το εγκαταστείσετε ως εξής:\n",
"\n",
"```bash\n",
"pip install pandas\n",
"```\n",
"\n",
"Προσοχή. Πρέπει το ```pip``` να βρίσκεται στην ίδια τοποθεσία που βρίσκεται και η python"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Για τη παρούσα διάλεξη θα χρησιμοποιήσουμε έναν κατάλογο από [GWA studies](https://en.wikipedia.org/wiki/Genome-wide_association_study). O κατάλογος βρίσκεται σε αυτό το link: https://www.ebi.ac.uk/gwas/api/search/downloads/full για να το κατεβάσετε τοπικά τρέξτε:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2016-12-15 14:50:41-- https://www.ebi.ac.uk/gwas/api/search/downloads/full\n",
"Resolving www.ebi.ac.uk... 193.62.193.80\n",
"Connecting to www.ebi.ac.uk|193.62.193.80|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: unspecified [text/tsv]\n",
"Saving to: ‘gwas.tsv’\n",
"\n",
"gwas.tsv [ <=> ] 17.93M 3.90MB/s in 5.3s \n",
"\n",
"2016-12-15 14:50:47 (3.36 MB/s) - ‘gwas.tsv’ saved [18796575]\n",
"\n"
]
}
],
"source": [
"!wget -O gwas.tsv \"https://www.ebi.ac.uk/gwas/api/search/downloads/full\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Η παραπάνω εντολή σώζει τον κατάλογο στο αρχείο: ```gwas.tsv```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Για να το φορτώσουμε τρέχουμε:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2717: DtypeWarning: Columns (12,23,27) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" interactivity=interactivity, compiler=compiler, result=result)\n"
]
}
],
"source": [
"gwas = pd.read_csv('gwas.tsv', sep='\\t')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Για να τυπώσουμε μία σύνοψη (πρώτες και τελευταίες γραμμές) των δεδομένων τρέχουμε: "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>LINK</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>...</th>\n",
" <th>CONTEXT</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
" <th>P-VALUE</th>\n",
" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
" <th>95% CI (TEXT)</th>\n",
" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2009-09-28</td>\n",
" <td>18403759</td>\n",
" <td>Ober C</td>\n",
" <td>2008-04-09</td>\n",
" <td>N Engl J Med</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18403759</td>\n",
" <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
" <td>YKL-40 levels</td>\n",
" <td>632 Hutterite individuals</td>\n",
" <td>443 European ancestry cases, 491 European ance...</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.29</td>\n",
" <td>1e-13</td>\n",
" <td>13.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.30</td>\n",
" <td>[NR] ng/ml decrease</td>\n",
" <td>Affymetrix [290325]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2008-06-16</td>\n",
" <td>18369459</td>\n",
" <td>Liu Y</td>\n",
" <td>2008-04-04</td>\n",
" <td>PLoS Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18369459</td>\n",
" <td>A genome-wide association study of psoriasis a...</td>\n",
" <td>Psoriasis</td>\n",
" <td>218 European ancestry cases, 519 European ance...</td>\n",
" <td>1,153 European ancestry cases, 1,217 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.65</td>\n",
" <td>2e-06</td>\n",
" <td>5.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.41</td>\n",
" <td>[1.22-1.61]</td>\n",
" <td>Illumina [305983]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2008-06-16</td>\n",
" <td>18385676</td>\n",
" <td>Amos CI</td>\n",
" <td>2008-04-03</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
" <td>Genome-wide association scan of tag SNPs ident...</td>\n",
" <td>Lung cancer</td>\n",
" <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
" <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>3e-18</td>\n",
" <td>17.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.30</td>\n",
" <td>[1.15-1.47]</td>\n",
" <td>Illumina [317498]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2008-06-16</td>\n",
" <td>18385676</td>\n",
" <td>Amos CI</td>\n",
" <td>2008-04-03</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
" <td>Genome-wide association scan of tag SNPs ident...</td>\n",
" <td>Lung cancer</td>\n",
" <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
" <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
" <td>...</td>\n",
" <td>downstream_gene_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>7e-06</td>\n",
" <td>5.154902</td>\n",
" <td>NaN</td>\n",
" <td>1.22</td>\n",
" <td>[1.10-1.35]</td>\n",
" <td>Illumina [317498]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2008-06-16</td>\n",
" <td>18385676</td>\n",
" <td>Amos CI</td>\n",
" <td>2008-04-03</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
" <td>Genome-wide association scan of tag SNPs ident...</td>\n",
" <td>Lung cancer</td>\n",
" <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
" <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>8e-06</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>1.16</td>\n",
" <td>[1.05-1.28]</td>\n",
" <td>Illumina [317498]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2008-06-16</td>\n",
" <td>18385738</td>\n",
" <td>Hung RJ</td>\n",
" <td>2008-04-03</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18385738</td>\n",
" <td>A susceptibility locus for lung cancer maps to...</td>\n",
" <td>Lung cancer</td>\n",
" <td>1,926 European ance other ancestry cases, 2,52...</td>\n",
" <td>332 European ancestry cases, 462 European ance...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.34</td>\n",
" <td>5e-20</td>\n",
" <td>19.301030</td>\n",
" <td>NaN</td>\n",
" <td>1.30</td>\n",
" <td>[1.23-1.37]</td>\n",
" <td>Illumina [310023]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2008-09-16</td>\n",
" <td>18385739</td>\n",
" <td>Thorgeirsson TE</td>\n",
" <td>2008-04-03</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18385739</td>\n",
" <td>A variant associated with nicotine dependence,...</td>\n",
" <td>Nicotine dependence</td>\n",
" <td>10,995 European ancestry individuals</td>\n",
" <td>4,848 European ancestry individuals</td>\n",
" <td>...</td>\n",
" <td>synonymous_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.35</td>\n",
" <td>6e-20</td>\n",
" <td>19.221849</td>\n",
" <td>NaN</td>\n",
" <td>0.10</td>\n",
" <td>[0.08-0.12] cigarettes per day increase</td>\n",
" <td>Illumina [306207]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372901</td>\n",
" <td>Tenesa A</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372901</td>\n",
" <td>Genome-wide association scan identifies a colo...</td>\n",
" <td>Colorectal cancer</td>\n",
" <td>981 European ancestry cases, 1,002 European an...</td>\n",
" <td>10,287 European ancestry cases, 10,401 Europea...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.18</td>\n",
" <td>9e-26</td>\n",
" <td>25.045757</td>\n",
" <td>NaN</td>\n",
" <td>1.19</td>\n",
" <td>[1.15-1.23]</td>\n",
" <td>Illumina [541628]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372901</td>\n",
" <td>Tenesa A</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372901</td>\n",
" <td>Genome-wide association scan identifies a colo...</td>\n",
" <td>Colorectal cancer</td>\n",
" <td>981 European ancestry cases, 1,002 European an...</td>\n",
" <td>10,287 European ancestry cases, 10,401 Europea...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.43</td>\n",
" <td>6e-10</td>\n",
" <td>9.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.11</td>\n",
" <td>[1.08-1.15]</td>\n",
" <td>Illumina [541628]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372901</td>\n",
" <td>Tenesa A</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372901</td>\n",
" <td>Genome-wide association scan identifies a colo...</td>\n",
" <td>Colorectal cancer</td>\n",
" <td>981 European ancestry cases, 1,002 European an...</td>\n",
" <td>10,287 European ancestry cases, 10,401 Europea...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.52</td>\n",
" <td>8e-28</td>\n",
" <td>27.096910</td>\n",
" <td>NaN</td>\n",
" <td>1.20</td>\n",
" <td>[1.16-1.24]</td>\n",
" <td>Illumina [541628]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372905</td>\n",
" <td>Tomlinson IP</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372905</td>\n",
" <td>A genome-wide association study identifies col...</td>\n",
" <td>Colorectal cancer</td>\n",
" <td>922 European ancestry cases, 927 European ance...</td>\n",
" <td>17,089 European ancestry cases, 16,862 Europea...</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.67</td>\n",
" <td>3e-13</td>\n",
" <td>12.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.12</td>\n",
" <td>[1.10-1.16]</td>\n",
" <td>Illumina [547647]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372905</td>\n",
" <td>Tomlinson IP</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372905</td>\n",
" <td>A genome-wide association study identifies col...</td>\n",
" <td>Colorectal cancer</td>\n",
" <td>922 European ancestry cases, 927 European ance...</td>\n",
" <td>17,089 European ancestry cases, 16,862 Europea...</td>\n",
" <td>...</td>\n",
" <td>regulatory_region_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.07</td>\n",
" <td>3e-18</td>\n",
" <td>17.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.27</td>\n",
" <td>[1.20-1.34]</td>\n",
" <td>Illumina [547647]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372903</td>\n",
" <td>Zeggini E</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>Type 2 diabetes</td>\n",
" <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
" <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.50</td>\n",
" <td>5e-14</td>\n",
" <td>13.301030</td>\n",
" <td>NaN</td>\n",
" <td>1.10</td>\n",
" <td>[1.07-1.13]</td>\n",
" <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372903</td>\n",
" <td>Zeggini E</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>Type 2 diabetes</td>\n",
" <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
" <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.18</td>\n",
" <td>1e-10</td>\n",
" <td>10.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.11</td>\n",
" <td>[1.07-1.14]</td>\n",
" <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372903</td>\n",
" <td>Zeggini E</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>Type 2 diabetes</td>\n",
" <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
" <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.27</td>\n",
" <td>1e-09</td>\n",
" <td>9.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.09</td>\n",
" <td>[1.06-1.12]</td>\n",
" <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372903</td>\n",
" <td>Zeggini E</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>Type 2 diabetes</td>\n",
" <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
" <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
" <td>...</td>\n",
" <td>missense_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.90</td>\n",
" <td>1e-09</td>\n",
" <td>9.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.15</td>\n",
" <td>[1.10-1.20]</td>\n",
" <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2008-06-16</td>\n",
" <td>18372903</td>\n",
" <td>Zeggini E</td>\n",
" <td>2008-03-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>Type 2 diabetes</td>\n",
" <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
" <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.76</td>\n",
" <td>1e-08</td>\n",
" <td>8.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.09</td>\n",
" <td>[1.06-1.12]</td>\n",
" <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2008-06-16</td>\n",
" <td>18326623</td>\n",
" <td>Gold B</td>\n",
" <td>2008-03-11</td>\n",
" <td>Proc Natl Acad Sci U S A</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18326623</td>\n",
" <td>Genome-wide association study provides evidenc...</td>\n",
" <td>Breast cancer</td>\n",
" <td>249 Ashkenazi Jewish non-BRCA1/2 carriers case...</td>\n",
" <td>1,193 Ashkenazi Jewish non-BRCA1/2 carriers c...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.21</td>\n",
" <td>3e-08</td>\n",
" <td>7.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.41</td>\n",
" <td>[1.25-1.59]</td>\n",
" <td>Affymetrix [150080]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2008-07-22</td>\n",
" <td>18332876</td>\n",
" <td>Kirov G</td>\n",
" <td>2008-03-11</td>\n",
" <td>Mol Psychiatry</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18332876</td>\n",
" <td>A genome-wide association study in 574 schizop...</td>\n",
" <td>Schizophrenia</td>\n",
" <td>574 European ancestry trios, 605 European ance...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.91</td>\n",
" <td>1e-06</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [~ 550000]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2008-09-17</td>\n",
" <td>18327256</td>\n",
" <td>Doring A</td>\n",
" <td>2008-03-09</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18327256</td>\n",
" <td>SLC2A9 influences uric acid concentrations wit...</td>\n",
" <td>Urate levels</td>\n",
" <td>1,644 European ancestry individuals</td>\n",
" <td>9,947 European ancestry individuals</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.40</td>\n",
" <td>3e-70</td>\n",
" <td>69.522879</td>\n",
" <td>NaN</td>\n",
" <td>0.35</td>\n",
" <td>[NR] mg/dl decrease in uric acid</td>\n",
" <td>Affymetrix [335152]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2008-09-17</td>\n",
" <td>18327257</td>\n",
" <td>Vitart V</td>\n",
" <td>2008-03-09</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18327257</td>\n",
" <td>SLC2A9 is a newly identified urate transporter...</td>\n",
" <td>Urate levels</td>\n",
" <td>794 European ancestry individuals</td>\n",
" <td>706 European ancestry individuals</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.31</td>\n",
" <td>3e-09</td>\n",
" <td>8.522879</td>\n",
" <td>NaN</td>\n",
" <td>0.88</td>\n",
" <td>[NR] uM decrease in uric acid [females only]</td>\n",
" <td>Illumina [308140]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2008-06-16</td>\n",
" <td>18311140</td>\n",
" <td>Hunt KA</td>\n",
" <td>2008-03-02</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>Celiac disease</td>\n",
" <td>767 European ancestry cases, 1,422 European an...</td>\n",
" <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>3e-11</td>\n",
" <td>10.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.39</td>\n",
" <td>[1.26-1.53]</td>\n",
" <td>Illumina [310605]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2008-06-16</td>\n",
" <td>18311140</td>\n",
" <td>Hunt KA</td>\n",
" <td>2008-03-02</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>Celiac disease</td>\n",
" <td>767 European ancestry cases, 1,422 European an...</td>\n",
" <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>4e-09</td>\n",
" <td>8.397940</td>\n",
" <td>NaN</td>\n",
" <td>1.28</td>\n",
" <td>[1.18-1.39]</td>\n",
" <td>Illumina [310605]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2008-06-16</td>\n",
" <td>18311140</td>\n",
" <td>Hunt KA</td>\n",
" <td>2008-03-02</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>Celiac disease</td>\n",
" <td>767 European ancestry cases, 1,422 European an...</td>\n",
" <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>1e-09</td>\n",
" <td>9.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.35</td>\n",
" <td>[1.23-1.49]</td>\n",
" <td>Illumina [310605]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2008-06-16</td>\n",
" <td>18311140</td>\n",
" <td>Hunt KA</td>\n",
" <td>2008-03-02</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>Celiac disease</td>\n",
" <td>767 European ancestry cases, 1,422 European an...</td>\n",
" <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>5e-09</td>\n",
" <td>8.301030</td>\n",
" <td>NaN</td>\n",
" <td>1.23</td>\n",
" <td>[1.15-1.32]</td>\n",
" <td>Illumina [310605]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2008-06-16</td>\n",
" <td>18311140</td>\n",
" <td>Hunt KA</td>\n",
" <td>2008-03-02</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>Celiac disease</td>\n",
" <td>767 European ancestry cases, 1,422 European an...</td>\n",
" <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
" <td>...</td>\n",
" <td>5_prime_UTR_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>7e-08</td>\n",
" <td>7.154902</td>\n",
" <td>NaN</td>\n",
" <td>1.21</td>\n",
" <td>[1.13-1.30]</td>\n",
" <td>Illumina [310605]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>2008-06-16</td>\n",
" <td>18264097</td>\n",
" <td>Eeles RA</td>\n",
" <td>2008-02-10</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>Prostate cancer</td>\n",
" <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
" <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.40</td>\n",
" <td>9e-29</td>\n",
" <td>28.045757</td>\n",
" <td>NaN</td>\n",
" <td>1.25</td>\n",
" <td>[1.17-1.34]</td>\n",
" <td>Illumina [541129]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>2008-06-16</td>\n",
" <td>18264097</td>\n",
" <td>Eeles RA</td>\n",
" <td>2008-02-10</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>Prostate cancer</td>\n",
" <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
" <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.85</td>\n",
" <td>2e-18</td>\n",
" <td>17.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.20</td>\n",
" <td>[1.10-1.33]</td>\n",
" <td>Illumina [541129]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>2008-06-16</td>\n",
" <td>18264097</td>\n",
" <td>Eeles RA</td>\n",
" <td>2008-02-10</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>Prostate cancer</td>\n",
" <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
" <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.51</td>\n",
" <td>2e-12</td>\n",
" <td>11.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.19</td>\n",
" <td>[1.11-1.27]</td>\n",
" <td>Illumina [541129]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>2008-06-16</td>\n",
" <td>18264097</td>\n",
" <td>Eeles RA</td>\n",
" <td>2008-02-10</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>Prostate cancer</td>\n",
" <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
" <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.29</td>\n",
" <td>6e-10</td>\n",
" <td>9.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.17</td>\n",
" <td>[1.08-1.26]</td>\n",
" <td>Illumina [541129]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34064</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>2E-8</td>\n",
" <td>7.698970</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34065</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>7E-6</td>\n",
" <td>5.154902</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34066</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>1E-7</td>\n",
" <td>7.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34067</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>6E-6</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34068</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>4E-6</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34069</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>3E-6</td>\n",
" <td>5.522879</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34070</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>9E-6</td>\n",
" <td>5.045757</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34071</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>7E-6</td>\n",
" <td>5.154902</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34072</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>6E-6</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34073</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>8E-6</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34074</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>1E-7</td>\n",
" <td>7.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34075</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>3E-6</td>\n",
" <td>5.522879</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34076</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>4E-6</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34077</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>missense_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>4E-6</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34078</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>2E-8</td>\n",
" <td>7.698970</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34079</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>4E-7</td>\n",
" <td>6.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34080</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>7E-6</td>\n",
" <td>5.154902</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34081</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>2E-6</td>\n",
" <td>5.698970</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34082</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>3E-7</td>\n",
" <td>6.522879</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34083</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>5E-6</td>\n",
" <td>5.301030</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34084</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>3E-7</td>\n",
" <td>6.522879</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34085</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>8E-6</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34086</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>4E-7</td>\n",
" <td>6.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34087</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>4E-6</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34088</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>1E-6</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34089</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>7E-7</td>\n",
" <td>6.154902</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34090</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>9E-8</td>\n",
" <td>7.045757</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34091</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>8E-6</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34092</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>8E-6</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34093</th>\n",
" <td>2016-12-08</td>\n",
" <td>26835600</td>\n",
" <td>Hu Y</td>\n",
" <td>2016-02-02</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/26835600</td>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>Morningness</td>\n",
" <td>38,937 European ancestry morning individuals, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>9E-6</td>\n",
" <td>5.045757</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [7427422] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>34094 rows × 34 columns</p>\n",
"</div>"
],
"text/plain": [
" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE \\\n",
"0 2009-09-28 18403759 Ober C 2008-04-09 \n",
"1 2008-06-16 18369459 Liu Y 2008-04-04 \n",
"2 2008-06-16 18385676 Amos CI 2008-04-03 \n",
"3 2008-06-16 18385676 Amos CI 2008-04-03 \n",
"4 2008-06-16 18385676 Amos CI 2008-04-03 \n",
"5 2008-06-16 18385738 Hung RJ 2008-04-03 \n",
"6 2008-09-16 18385739 Thorgeirsson TE 2008-04-03 \n",
"7 2008-06-16 18372901 Tenesa A 2008-03-30 \n",
"8 2008-06-16 18372901 Tenesa A 2008-03-30 \n",
"9 2008-06-16 18372901 Tenesa A 2008-03-30 \n",
"10 2008-06-16 18372905 Tomlinson IP 2008-03-30 \n",
"11 2008-06-16 18372905 Tomlinson IP 2008-03-30 \n",
"12 2008-06-16 18372903 Zeggini E 2008-03-30 \n",
"13 2008-06-16 18372903 Zeggini E 2008-03-30 \n",
"14 2008-06-16 18372903 Zeggini E 2008-03-30 \n",
"15 2008-06-16 18372903 Zeggini E 2008-03-30 \n",
"16 2008-06-16 18372903 Zeggini E 2008-03-30 \n",
"17 2008-06-16 18326623 Gold B 2008-03-11 \n",
"18 2008-07-22 18332876 Kirov G 2008-03-11 \n",
"19 2008-09-17 18327256 Doring A 2008-03-09 \n",
"20 2008-09-17 18327257 Vitart V 2008-03-09 \n",
"21 2008-06-16 18311140 Hunt KA 2008-03-02 \n",
"22 2008-06-16 18311140 Hunt KA 2008-03-02 \n",
"23 2008-06-16 18311140 Hunt KA 2008-03-02 \n",
"24 2008-06-16 18311140 Hunt KA 2008-03-02 \n",
"25 2008-06-16 18311140 Hunt KA 2008-03-02 \n",
"26 2008-06-16 18264097 Eeles RA 2008-02-10 \n",
"27 2008-06-16 18264097 Eeles RA 2008-02-10 \n",
"28 2008-06-16 18264097 Eeles RA 2008-02-10 \n",
"29 2008-06-16 18264097 Eeles RA 2008-02-10 \n",
"... ... ... ... ... \n",
"34064 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34065 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34066 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34067 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34068 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34069 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34070 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34071 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34072 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34073 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34074 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34075 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34076 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34077 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34078 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34079 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34080 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34081 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34082 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34083 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34084 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34085 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34086 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34087 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34088 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34089 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34090 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34091 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34092 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"34093 2016-12-08 26835600 Hu Y 2016-02-02 \n",
"\n",
" JOURNAL LINK \\\n",
"0 N Engl J Med www.ncbi.nlm.nih.gov/pubmed/18403759 \n",
"1 PLoS Genet www.ncbi.nlm.nih.gov/pubmed/18369459 \n",
"2 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18385676 \n",
"3 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18385676 \n",
"4 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18385676 \n",
"5 Nature www.ncbi.nlm.nih.gov/pubmed/18385738 \n",
"6 Nature www.ncbi.nlm.nih.gov/pubmed/18385739 \n",
"7 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372901 \n",
"8 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372901 \n",
"9 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372901 \n",
"10 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372905 \n",
"11 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372905 \n",
"12 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372903 \n",
"13 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372903 \n",
"14 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372903 \n",
"15 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372903 \n",
"16 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18372903 \n",
"17 Proc Natl Acad Sci U S A www.ncbi.nlm.nih.gov/pubmed/18326623 \n",
"18 Mol Psychiatry www.ncbi.nlm.nih.gov/pubmed/18332876 \n",
"19 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18327256 \n",
"20 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18327257 \n",
"21 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18311140 \n",
"22 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18311140 \n",
"23 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18311140 \n",
"24 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18311140 \n",
"25 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18311140 \n",
"26 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18264097 \n",
"27 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18264097 \n",
"28 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18264097 \n",
"29 Nat Genet www.ncbi.nlm.nih.gov/pubmed/18264097 \n",
"... ... ... \n",
"34064 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34065 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34066 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34067 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34068 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34069 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34070 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34071 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34072 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34073 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34074 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34075 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34076 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34077 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34078 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34079 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34080 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34081 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34082 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34083 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34084 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34085 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34086 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34087 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34088 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34089 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34090 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34091 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34092 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34093 Nat Commun www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"\n",
" STUDY DISEASE/TRAIT \\\n",
"0 Effect of variation in CHI3L1 on serum YKL-40 ... YKL-40 levels \n",
"1 A genome-wide association study of psoriasis a... Psoriasis \n",
"2 Genome-wide association scan of tag SNPs ident... Lung cancer \n",
"3 Genome-wide association scan of tag SNPs ident... Lung cancer \n",
"4 Genome-wide association scan of tag SNPs ident... Lung cancer \n",
"5 A susceptibility locus for lung cancer maps to... Lung cancer \n",
"6 A variant associated with nicotine dependence,... Nicotine dependence \n",
"7 Genome-wide association scan identifies a colo... Colorectal cancer \n",
"8 Genome-wide association scan identifies a colo... Colorectal cancer \n",
"9 Genome-wide association scan identifies a colo... Colorectal cancer \n",
"10 A genome-wide association study identifies col... Colorectal cancer \n",
"11 A genome-wide association study identifies col... Colorectal cancer \n",
"12 Meta-analysis of genome-wide association data ... Type 2 diabetes \n",
"13 Meta-analysis of genome-wide association data ... Type 2 diabetes \n",
"14 Meta-analysis of genome-wide association data ... Type 2 diabetes \n",
"15 Meta-analysis of genome-wide association data ... Type 2 diabetes \n",
"16 Meta-analysis of genome-wide association data ... Type 2 diabetes \n",
"17 Genome-wide association study provides evidenc... Breast cancer \n",
"18 A genome-wide association study in 574 schizop... Schizophrenia \n",
"19 SLC2A9 influences uric acid concentrations wit... Urate levels \n",
"20 SLC2A9 is a newly identified urate transporter... Urate levels \n",
"21 Newly identified genetic risk variants for cel... Celiac disease \n",
"22 Newly identified genetic risk variants for cel... Celiac disease \n",
"23 Newly identified genetic risk variants for cel... Celiac disease \n",
"24 Newly identified genetic risk variants for cel... Celiac disease \n",
"25 Newly identified genetic risk variants for cel... Celiac disease \n",
"26 Multiple newly identified loci associated with... Prostate cancer \n",
"27 Multiple newly identified loci associated with... Prostate cancer \n",
"28 Multiple newly identified loci associated with... Prostate cancer \n",
"29 Multiple newly identified loci associated with... Prostate cancer \n",
"... ... ... \n",
"34064 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34065 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34066 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34067 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34068 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34069 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34070 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34071 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34072 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34073 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34074 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34075 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34076 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34077 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34078 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34079 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34080 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34081 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34082 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34083 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34084 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34085 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34086 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34087 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34088 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34089 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34090 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34091 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34092 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34093 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"0 632 Hutterite individuals \n",
"1 218 European ancestry cases, 519 European ance... \n",
"2 1,154 European ancestry cases, 1,137 European ... \n",
"3 1,154 European ancestry cases, 1,137 European ... \n",
"4 1,154 European ancestry cases, 1,137 European ... \n",
"5 1,926 European ance other ancestry cases, 2,52... \n",
"6 10,995 European ancestry individuals \n",
"7 981 European ancestry cases, 1,002 European an... \n",
"8 981 European ancestry cases, 1,002 European an... \n",
"9 981 European ancestry cases, 1,002 European an... \n",
"10 922 European ancestry cases, 927 European ance... \n",
"11 922 European ancestry cases, 927 European ance... \n",
"12 4,549 European ancestry cases, 5,579 European ... \n",
"13 4,549 European ancestry cases, 5,579 European ... \n",
"14 4,549 European ancestry cases, 5,579 European ... \n",
"15 4,549 European ancestry cases, 5,579 European ... \n",
"16 4,549 European ancestry cases, 5,579 European ... \n",
"17 249 Ashkenazi Jewish non-BRCA1/2 carriers case... \n",
"18 574 European ancestry trios, 605 European ance... \n",
"19 1,644 European ancestry individuals \n",
"20 794 European ancestry individuals \n",
"21 767 European ancestry cases, 1,422 European an... \n",
"22 767 European ancestry cases, 1,422 European an... \n",
"23 767 European ancestry cases, 1,422 European an... \n",
"24 767 European ancestry cases, 1,422 European an... \n",
"25 767 European ancestry cases, 1,422 European an... \n",
"26 1,854 European ancestry cases, 1,894 European ... \n",
"27 1,854 European ancestry cases, 1,894 European ... \n",
"28 1,854 European ancestry cases, 1,894 European ... \n",
"29 1,854 European ancestry cases, 1,894 European ... \n",
"... ... \n",
"34064 38,937 European ancestry morning individuals, ... \n",
"34065 38,937 European ancestry morning individuals, ... \n",
"34066 38,937 European ancestry morning individuals, ... \n",
"34067 38,937 European ancestry morning individuals, ... \n",
"34068 38,937 European ancestry morning individuals, ... \n",
"34069 38,937 European ancestry morning individuals, ... \n",
"34070 38,937 European ancestry morning individuals, ... \n",
"34071 38,937 European ancestry morning individuals, ... \n",
"34072 38,937 European ancestry morning individuals, ... \n",
"34073 38,937 European ancestry morning individuals, ... \n",
"34074 38,937 European ancestry morning individuals, ... \n",
"34075 38,937 European ancestry morning individuals, ... \n",
"34076 38,937 European ancestry morning individuals, ... \n",
"34077 38,937 European ancestry morning individuals, ... \n",
"34078 38,937 European ancestry morning individuals, ... \n",
"34079 38,937 European ancestry morning individuals, ... \n",
"34080 38,937 European ancestry morning individuals, ... \n",
"34081 38,937 European ancestry morning individuals, ... \n",
"34082 38,937 European ancestry morning individuals, ... \n",
"34083 38,937 European ancestry morning individuals, ... \n",
"34084 38,937 European ancestry morning individuals, ... \n",
"34085 38,937 European ancestry morning individuals, ... \n",
"34086 38,937 European ancestry morning individuals, ... \n",
"34087 38,937 European ancestry morning individuals, ... \n",
"34088 38,937 European ancestry morning individuals, ... \n",
"34089 38,937 European ancestry morning individuals, ... \n",
"34090 38,937 European ancestry morning individuals, ... \n",
"34091 38,937 European ancestry morning individuals, ... \n",
"34092 38,937 European ancestry morning individuals, ... \n",
"34093 38,937 European ancestry morning individuals, ... \n",
"\n",
" REPLICATION SAMPLE SIZE ... \\\n",
"0 443 European ancestry cases, 491 European ance... ... \n",
"1 1,153 European ancestry cases, 1,217 European ... ... \n",
"2 2,724 European ancestry cases, 3,694 European ... ... \n",
"3 2,724 European ancestry cases, 3,694 European ... ... \n",
"4 2,724 European ancestry cases, 3,694 European ... ... \n",
"5 332 European ancestry cases, 462 European ance... ... \n",
"6 4,848 European ancestry individuals ... \n",
"7 10,287 European ancestry cases, 10,401 Europea... ... \n",
"8 10,287 European ancestry cases, 10,401 Europea... ... \n",
"9 10,287 European ancestry cases, 10,401 Europea... ... \n",
"10 17,089 European ancestry cases, 16,862 Europea... ... \n",
"11 17,089 European ancestry cases, 16,862 Europea... ... \n",
"12 24,194 European ancestry cases, 55,598 Europea... ... \n",
"13 24,194 European ancestry cases, 55,598 Europea... ... \n",
"14 24,194 European ancestry cases, 55,598 Europea... ... \n",
"15 24,194 European ancestry cases, 55,598 Europea... ... \n",
"16 24,194 European ancestry cases, 55,598 Europea... ... \n",
"17 1,193 Ashkenazi Jewish non-BRCA1/2 carriers c... ... \n",
"18 NaN ... \n",
"19 9,947 European ancestry individuals ... \n",
"20 706 European ancestry individuals ... \n",
"21 1,643 European ancestry cases, 3,406 European ... ... \n",
"22 1,643 European ancestry cases, 3,406 European ... ... \n",
"23 1,643 European ancestry cases, 3,406 European ... ... \n",
"24 1,643 European ancestry cases, 3,406 European ... ... \n",
"25 1,643 European ancestry cases, 3,406 European ... ... \n",
"26 3,268 European ancestry cases, 3,366 European ... ... \n",
"27 3,268 European ancestry cases, 3,366 European ... ... \n",
"28 3,268 European ancestry cases, 3,366 European ... ... \n",
"29 3,268 European ancestry cases, 3,366 European ... ... \n",
"... ... ... \n",
"34064 NaN ... \n",
"34065 NaN ... \n",
"34066 NaN ... \n",
"34067 NaN ... \n",
"34068 NaN ... \n",
"34069 NaN ... \n",
"34070 NaN ... \n",
"34071 NaN ... \n",
"34072 NaN ... \n",
"34073 NaN ... \n",
"34074 NaN ... \n",
"34075 NaN ... \n",
"34076 NaN ... \n",
"34077 NaN ... \n",
"34078 NaN ... \n",
"34079 NaN ... \n",
"34080 NaN ... \n",
"34081 NaN ... \n",
"34082 NaN ... \n",
"34083 NaN ... \n",
"34084 NaN ... \n",
"34085 NaN ... \n",
"34086 NaN ... \n",
"34087 NaN ... \n",
"34088 NaN ... \n",
"34089 NaN ... \n",
"34090 NaN ... \n",
"34091 NaN ... \n",
"34092 NaN ... \n",
"34093 NaN ... \n",
"\n",
" CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE \\\n",
"0 upstream_gene_variant 0.0 0.29 1e-13 \n",
"1 intron_variant 0.0 0.65 2e-06 \n",
"2 intron_variant 0.0 NR 3e-18 \n",
"3 downstream_gene_variant 1.0 NR 7e-06 \n",
"4 intron_variant 0.0 NR 8e-06 \n",
"5 intron_variant 0.0 0.34 5e-20 \n",
"6 synonymous_variant 0.0 0.35 6e-20 \n",
"7 intron_variant 0.0 0.18 9e-26 \n",
"8 intron_variant 0.0 0.43 6e-10 \n",
"9 intron_variant 0.0 0.52 8e-28 \n",
"10 upstream_gene_variant 0.0 0.67 3e-13 \n",
"11 regulatory_region_variant 1.0 0.07 3e-18 \n",
"12 intron_variant 0.0 0.50 5e-14 \n",
"13 intergenic_variant 1.0 0.18 1e-10 \n",
"14 intron_variant 1.0 0.27 1e-09 \n",
"15 missense_variant 0.0 0.90 1e-09 \n",
"16 intron_variant 0.0 0.76 1e-08 \n",
"17 intron_variant 0.0 0.21 3e-08 \n",
"18 intron_variant 0.0 0.91 1e-06 \n",
"19 intron_variant 0.0 0.40 3e-70 \n",
"20 intron_variant 0.0 0.31 3e-09 \n",
"21 upstream_gene_variant 0.0 NR 3e-11 \n",
"22 intron_variant 1.0 NR 4e-09 \n",
"23 intron_variant 0.0 NR 1e-09 \n",
"24 intron_variant 0.0 NR 5e-09 \n",
"25 5_prime_UTR_variant 0.0 NR 7e-08 \n",
"26 upstream_gene_variant 1.0 0.40 9e-29 \n",
"27 upstream_gene_variant 1.0 0.85 2e-18 \n",
"28 intergenic_variant 1.0 0.51 2e-12 \n",
"29 intron_variant 0.0 0.29 6e-10 \n",
"... ... ... ... ... \n",
"34064 intron_variant 0.0 NR 2E-8 \n",
"34065 intron_variant 0.0 NR 7E-6 \n",
"34066 intron_variant 0.0 NR 1E-7 \n",
"34067 intron_variant 0.0 NR 6E-6 \n",
"34068 intron_variant 0.0 NR 4E-6 \n",
"34069 intron_variant 0.0 NR 3E-6 \n",
"34070 intergenic_variant 0.0 NR 9E-6 \n",
"34071 intergenic_variant 1.0 NR 7E-6 \n",
"34072 intron_variant 1.0 NR 6E-6 \n",
"34073 intron_variant 0.0 NR 8E-6 \n",
"34074 intron_variant 1.0 NR 1E-7 \n",
"34075 intron_variant 0.0 NR 3E-6 \n",
"34076 intron_variant 0.0 NR 4E-6 \n",
"34077 missense_variant 0.0 NR 4E-6 \n",
"34078 intron_variant 0.0 NR 2E-8 \n",
"34079 intergenic_variant 1.0 NR 4E-7 \n",
"34080 intron_variant 0.0 NR 7E-6 \n",
"34081 intron_variant 0.0 NR 2E-6 \n",
"34082 intron_variant 0.0 NR 3E-7 \n",
"34083 intergenic_variant 1.0 NR 5E-6 \n",
"34084 intergenic_variant 1.0 NR 3E-7 \n",
"34085 intron_variant 0.0 NR 8E-6 \n",
"34086 intron_variant 0.0 NR 4E-7 \n",
"34087 intron_variant 0.0 NR 4E-6 \n",
"34088 intron_variant 0.0 NR 1E-6 \n",
"34089 intergenic_variant 1.0 NR 7E-7 \n",
"34090 intron_variant 0.0 NR 9E-8 \n",
"34091 intergenic_variant 1.0 NR 8E-6 \n",
"34092 intron_variant 0.0 NR 8E-6 \n",
"34093 intron_variant 0.0 NR 9E-6 \n",
"\n",
" PVALUE_MLOG P-VALUE (TEXT) OR or BETA \\\n",
"0 13.000000 NaN 0.30 \n",
"1 5.698970 NaN 1.41 \n",
"2 17.522879 NaN 1.30 \n",
"3 5.154902 NaN 1.22 \n",
"4 5.096910 NaN 1.16 \n",
"5 19.301030 NaN 1.30 \n",
"6 19.221849 NaN 0.10 \n",
"7 25.045757 NaN 1.19 \n",
"8 9.221849 NaN 1.11 \n",
"9 27.096910 NaN 1.20 \n",
"10 12.522879 NaN 1.12 \n",
"11 17.522879 NaN 1.27 \n",
"12 13.301030 NaN 1.10 \n",
"13 10.000000 NaN 1.11 \n",
"14 9.000000 NaN 1.09 \n",
"15 9.000000 NaN 1.15 \n",
"16 8.000000 NaN 1.09 \n",
"17 7.522879 NaN 1.41 \n",
"18 6.000000 NaN NaN \n",
"19 69.522879 NaN 0.35 \n",
"20 8.522879 NaN 0.88 \n",
"21 10.522879 NaN 1.39 \n",
"22 8.397940 NaN 1.28 \n",
"23 9.000000 NaN 1.35 \n",
"24 8.301030 NaN 1.23 \n",
"25 7.154902 NaN 1.21 \n",
"26 28.045757 NaN 1.25 \n",
"27 17.698970 NaN 1.20 \n",
"28 11.698970 NaN 1.19 \n",
"29 9.221849 NaN 1.17 \n",
"... ... ... ... \n",
"34064 7.698970 NaN NaN \n",
"34065 5.154902 NaN NaN \n",
"34066 7.000000 NaN NaN \n",
"34067 5.221849 NaN NaN \n",
"34068 5.397940 NaN NaN \n",
"34069 5.522879 NaN NaN \n",
"34070 5.045757 NaN NaN \n",
"34071 5.154902 NaN NaN \n",
"34072 5.221849 NaN NaN \n",
"34073 5.096910 NaN NaN \n",
"34074 7.000000 NaN NaN \n",
"34075 5.522879 NaN NaN \n",
"34076 5.397940 NaN NaN \n",
"34077 5.397940 NaN NaN \n",
"34078 7.698970 NaN NaN \n",
"34079 6.397940 NaN NaN \n",
"34080 5.154902 NaN NaN \n",
"34081 5.698970 NaN NaN \n",
"34082 6.522879 NaN NaN \n",
"34083 5.301030 NaN NaN \n",
"34084 6.522879 NaN NaN \n",
"34085 5.096910 NaN NaN \n",
"34086 6.397940 NaN NaN \n",
"34087 5.397940 NaN NaN \n",
"34088 6.000000 NaN NaN \n",
"34089 6.154902 NaN NaN \n",
"34090 7.045757 NaN NaN \n",
"34091 5.096910 NaN NaN \n",
"34092 5.096910 NaN NaN \n",
"34093 5.045757 NaN NaN \n",
"\n",
" 95% CI (TEXT) \\\n",
"0 [NR] ng/ml decrease \n",
"1 [1.22-1.61] \n",
"2 [1.15-1.47] \n",
"3 [1.10-1.35] \n",
"4 [1.05-1.28] \n",
"5 [1.23-1.37] \n",
"6 [0.08-0.12] cigarettes per day increase \n",
"7 [1.15-1.23] \n",
"8 [1.08-1.15] \n",
"9 [1.16-1.24] \n",
"10 [1.10-1.16] \n",
"11 [1.20-1.34] \n",
"12 [1.07-1.13] \n",
"13 [1.07-1.14] \n",
"14 [1.06-1.12] \n",
"15 [1.10-1.20] \n",
"16 [1.06-1.12] \n",
"17 [1.25-1.59] \n",
"18 NaN \n",
"19 [NR] mg/dl decrease in uric acid \n",
"20 [NR] uM decrease in uric acid [females only] \n",
"21 [1.26-1.53] \n",
"22 [1.18-1.39] \n",
"23 [1.23-1.49] \n",
"24 [1.15-1.32] \n",
"25 [1.13-1.30] \n",
"26 [1.17-1.34] \n",
"27 [1.10-1.33] \n",
"28 [1.11-1.27] \n",
"29 [1.08-1.26] \n",
"... ... \n",
"34064 NaN \n",
"34065 NaN \n",
"34066 NaN \n",
"34067 NaN \n",
"34068 NaN \n",
"34069 NaN \n",
"34070 NaN \n",
"34071 NaN \n",
"34072 NaN \n",
"34073 NaN \n",
"34074 NaN \n",
"34075 NaN \n",
"34076 NaN \n",
"34077 NaN \n",
"34078 NaN \n",
"34079 NaN \n",
"34080 NaN \n",
"34081 NaN \n",
"34082 NaN \n",
"34083 NaN \n",
"34084 NaN \n",
"34085 NaN \n",
"34086 NaN \n",
"34087 NaN \n",
"34088 NaN \n",
"34089 NaN \n",
"34090 NaN \n",
"34091 NaN \n",
"34092 NaN \n",
"34093 NaN \n",
"\n",
" PLATFORM [SNPS PASSING QC] CNV \n",
"0 Affymetrix [290325] N \n",
"1 Illumina [305983] N \n",
"2 Illumina [317498] N \n",
"3 Illumina [317498] N \n",
"4 Illumina [317498] N \n",
"5 Illumina [310023] N \n",
"6 Illumina [306207] N \n",
"7 Illumina [541628] N \n",
"8 Illumina [541628] N \n",
"9 Illumina [541628] N \n",
"10 Illumina [547647] N \n",
"11 Illumina [547647] N \n",
"12 Affymetrix, Illumina [2202892] (imputed) N \n",
"13 Affymetrix, Illumina [2202892] (imputed) N \n",
"14 Affymetrix, Illumina [2202892] (imputed) N \n",
"15 Affymetrix, Illumina [2202892] (imputed) N \n",
"16 Affymetrix, Illumina [2202892] (imputed) N \n",
"17 Affymetrix [150080] N \n",
"18 Illumina [~ 550000] N \n",
"19 Affymetrix [335152] N \n",
"20 Illumina [308140] N \n",
"21 Illumina [310605] N \n",
"22 Illumina [310605] N \n",
"23 Illumina [310605] N \n",
"24 Illumina [310605] N \n",
"25 Illumina [310605] N \n",
"26 Illumina [541129] N \n",
"27 Illumina [541129] N \n",
"28 Illumina [541129] N \n",
"29 Illumina [541129] N \n",
"... ... ... \n",
"34064 Illumina [7427422] (imputed) N \n",
"34065 Illumina [7427422] (imputed) N \n",
"34066 Illumina [7427422] (imputed) N \n",
"34067 Illumina [7427422] (imputed) N \n",
"34068 Illumina [7427422] (imputed) N \n",
"34069 Illumina [7427422] (imputed) N \n",
"34070 Illumina [7427422] (imputed) N \n",
"34071 Illumina [7427422] (imputed) N \n",
"34072 Illumina [7427422] (imputed) N \n",
"34073 Illumina [7427422] (imputed) N \n",
"34074 Illumina [7427422] (imputed) N \n",
"34075 Illumina [7427422] (imputed) N \n",
"34076 Illumina [7427422] (imputed) N \n",
"34077 Illumina [7427422] (imputed) N \n",
"34078 Illumina [7427422] (imputed) N \n",
"34079 Illumina [7427422] (imputed) N \n",
"34080 Illumina [7427422] (imputed) N \n",
"34081 Illumina [7427422] (imputed) N \n",
"34082 Illumina [7427422] (imputed) N \n",
"34083 Illumina [7427422] (imputed) N \n",
"34084 Illumina [7427422] (imputed) N \n",
"34085 Illumina [7427422] (imputed) N \n",
"34086 Illumina [7427422] (imputed) N \n",
"34087 Illumina [7427422] (imputed) N \n",
"34088 Illumina [7427422] (imputed) N \n",
"34089 Illumina [7427422] (imputed) N \n",
"34090 Illumina [7427422] (imputed) N \n",
"34091 Illumina [7427422] (imputed) N \n",
"34092 Illumina [7427422] (imputed) N \n",
"34093 Illumina [7427422] (imputed) N \n",
"\n",
"[34094 rows x 34 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Για να τυπώσουμε μόνο κάποιες γραμμές: "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
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{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>LINK</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>...</th>\n",
" <th>CONTEXT</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
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" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
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" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2009-09-28</td>\n",
" <td>18403759</td>\n",
" <td>Ober C</td>\n",
" <td>2008-04-09</td>\n",
" <td>N Engl J Med</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18403759</td>\n",
" <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
" <td>YKL-40 levels</td>\n",
" <td>632 Hutterite individuals</td>\n",
" <td>443 European ancestry cases, 491 European ance...</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.29</td>\n",
" <td>1e-13</td>\n",
" <td>13.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.30</td>\n",
" <td>[NR] ng/ml decrease</td>\n",
" <td>Affymetrix [290325]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2008-06-16</td>\n",
" <td>18369459</td>\n",
" <td>Liu Y</td>\n",
" <td>2008-04-04</td>\n",
" <td>PLoS Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18369459</td>\n",
" <td>A genome-wide association study of psoriasis a...</td>\n",
" <td>Psoriasis</td>\n",
" <td>218 European ancestry cases, 519 European ance...</td>\n",
" <td>1,153 European ancestry cases, 1,217 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.65</td>\n",
" <td>2e-06</td>\n",
" <td>5.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.41</td>\n",
" <td>[1.22-1.61]</td>\n",
" <td>Illumina [305983]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2008-06-16</td>\n",
" <td>18385676</td>\n",
" <td>Amos CI</td>\n",
" <td>2008-04-03</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
" <td>Genome-wide association scan of tag SNPs ident...</td>\n",
" <td>Lung cancer</td>\n",
" <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
" <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>3e-18</td>\n",
" <td>17.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.30</td>\n",
" <td>[1.15-1.47]</td>\n",
" <td>Illumina [317498]</td>\n",
" <td>N</td>\n",
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"</div>"
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" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE JOURNAL \\\n",
"0 2009-09-28 18403759 Ober C 2008-04-09 N Engl J Med \n",
"1 2008-06-16 18369459 Liu Y 2008-04-04 PLoS Genet \n",
"2 2008-06-16 18385676 Amos CI 2008-04-03 Nat Genet \n",
"\n",
" LINK \\\n",
"0 www.ncbi.nlm.nih.gov/pubmed/18403759 \n",
"1 www.ncbi.nlm.nih.gov/pubmed/18369459 \n",
"2 www.ncbi.nlm.nih.gov/pubmed/18385676 \n",
"\n",
" STUDY DISEASE/TRAIT \\\n",
"0 Effect of variation in CHI3L1 on serum YKL-40 ... YKL-40 levels \n",
"1 A genome-wide association study of psoriasis a... Psoriasis \n",
"2 Genome-wide association scan of tag SNPs ident... Lung cancer \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"0 632 Hutterite individuals \n",
"1 218 European ancestry cases, 519 European ance... \n",
"2 1,154 European ancestry cases, 1,137 European ... \n",
"\n",
" REPLICATION SAMPLE SIZE ... \\\n",
"0 443 European ancestry cases, 491 European ance... ... \n",
"1 1,153 European ancestry cases, 1,217 European ... ... \n",
"2 2,724 European ancestry cases, 3,694 European ... ... \n",
"\n",
" CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE PVALUE_MLOG \\\n",
"0 upstream_gene_variant 0.0 0.29 1e-13 13.000000 \n",
"1 intron_variant 0.0 0.65 2e-06 5.698970 \n",
"2 intron_variant 0.0 NR 3e-18 17.522879 \n",
"\n",
" P-VALUE (TEXT) OR or BETA 95% CI (TEXT) \\\n",
"0 NaN 0.30 [NR] ng/ml decrease \n",
"1 NaN 1.41 [1.22-1.61] \n",
"2 NaN 1.30 [1.15-1.47] \n",
"\n",
" PLATFORM [SNPS PASSING QC] CNV \n",
"0 Affymetrix [290325] N \n",
"1 Illumina [305983] N \n",
"2 Illumina [317498] N \n",
"\n",
"[3 rows x 34 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[0:3] # Πρώτες 3 γραμμές"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
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"outputs": [
{
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" <td>2016-12-08</td>\n",
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" <td>2016-02-02</td>\n",
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" <td>NaN</td>\n",
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" <tr>\n",
" <th>34093</th>\n",
" <td>2016-12-08</td>\n",
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" <td>2016-02-02</td>\n",
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" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE JOURNAL \\\n",
"34091 2016-12-08 26835600 Hu Y 2016-02-02 Nat Commun \n",
"34092 2016-12-08 26835600 Hu Y 2016-02-02 Nat Commun \n",
"34093 2016-12-08 26835600 Hu Y 2016-02-02 Nat Commun \n",
"\n",
" LINK \\\n",
"34091 www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34092 www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"34093 www.ncbi.nlm.nih.gov/pubmed/26835600 \n",
"\n",
" STUDY DISEASE/TRAIT \\\n",
"34091 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34092 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"34093 GWAS of 89,283 individuals identifies genetic ... Morningness \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"34091 38,937 European ancestry morning individuals, ... \n",
"34092 38,937 European ancestry morning individuals, ... \n",
"34093 38,937 European ancestry morning individuals, ... \n",
"\n",
" REPLICATION SAMPLE SIZE ... CONTEXT INTERGENIC \\\n",
"34091 NaN ... intergenic_variant 1.0 \n",
"34092 NaN ... intron_variant 0.0 \n",
"34093 NaN ... intron_variant 0.0 \n",
"\n",
" RISK ALLELE FREQUENCY P-VALUE PVALUE_MLOG P-VALUE (TEXT) OR or BETA \\\n",
"34091 NR 8E-6 5.096910 NaN NaN \n",
"34092 NR 8E-6 5.096910 NaN NaN \n",
"34093 NR 9E-6 5.045757 NaN NaN \n",
"\n",
" 95% CI (TEXT) PLATFORM [SNPS PASSING QC] CNV \n",
"34091 NaN Illumina [7427422] (imputed) N \n",
"34092 NaN Illumina [7427422] (imputed) N \n",
"34093 NaN Illumina [7427422] (imputed) N \n",
"\n",
"[3 rows x 34 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[-3:] # Τρεις τελευταίες "
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
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{
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" <thead>\n",
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
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" <tr>\n",
" <th>4</th>\n",
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" <td>8e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>A susceptibility locus for lung cancer maps to...</td>\n",
" <td>5e-20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>A variant associated with nicotine dependence,...</td>\n",
" <td>6e-20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Genome-wide association scan identifies a colo...</td>\n",
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" <th>8</th>\n",
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" <th>10</th>\n",
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" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
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" <td>3e-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>5e-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>1e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>1e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>1e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Meta-analysis of genome-wide association data ...</td>\n",
" <td>1e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Genome-wide association study provides evidenc...</td>\n",
" <td>3e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>A genome-wide association study in 574 schizop...</td>\n",
" <td>1e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>SLC2A9 influences uric acid concentrations wit...</td>\n",
" <td>3e-70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>SLC2A9 is a newly identified urate transporter...</td>\n",
" <td>3e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>3e-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>4e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>1e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>5e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>Newly identified genetic risk variants for cel...</td>\n",
" <td>7e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>9e-29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>2e-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>2e-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>Multiple newly identified loci associated with...</td>\n",
" <td>6e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34064</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>2E-8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34065</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>7E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34066</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>1E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34067</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>6E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34068</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>4E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34069</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>3E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34070</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>9E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34071</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>7E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34072</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>6E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34073</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>8E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34074</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>1E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34075</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>3E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34076</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>4E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34077</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>4E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34078</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>2E-8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34079</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>4E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34080</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>7E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34081</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>2E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34082</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>3E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34083</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>5E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34084</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>3E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34085</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>8E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34086</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>4E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34087</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>4E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34088</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>1E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34089</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>7E-7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34090</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>9E-8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34091</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>8E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34092</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>8E-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34093</th>\n",
" <td>GWAS of 89,283 individuals identifies genetic ...</td>\n",
" <td>9E-6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>34094 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" STUDY P-VALUE\n",
"0 Effect of variation in CHI3L1 on serum YKL-40 ... 1e-13\n",
"1 A genome-wide association study of psoriasis a... 2e-06\n",
"2 Genome-wide association scan of tag SNPs ident... 3e-18\n",
"3 Genome-wide association scan of tag SNPs ident... 7e-06\n",
"4 Genome-wide association scan of tag SNPs ident... 8e-06\n",
"5 A susceptibility locus for lung cancer maps to... 5e-20\n",
"6 A variant associated with nicotine dependence,... 6e-20\n",
"7 Genome-wide association scan identifies a colo... 9e-26\n",
"8 Genome-wide association scan identifies a colo... 6e-10\n",
"9 Genome-wide association scan identifies a colo... 8e-28\n",
"10 A genome-wide association study identifies col... 3e-13\n",
"11 A genome-wide association study identifies col... 3e-18\n",
"12 Meta-analysis of genome-wide association data ... 5e-14\n",
"13 Meta-analysis of genome-wide association data ... 1e-10\n",
"14 Meta-analysis of genome-wide association data ... 1e-09\n",
"15 Meta-analysis of genome-wide association data ... 1e-09\n",
"16 Meta-analysis of genome-wide association data ... 1e-08\n",
"17 Genome-wide association study provides evidenc... 3e-08\n",
"18 A genome-wide association study in 574 schizop... 1e-06\n",
"19 SLC2A9 influences uric acid concentrations wit... 3e-70\n",
"20 SLC2A9 is a newly identified urate transporter... 3e-09\n",
"21 Newly identified genetic risk variants for cel... 3e-11\n",
"22 Newly identified genetic risk variants for cel... 4e-09\n",
"23 Newly identified genetic risk variants for cel... 1e-09\n",
"24 Newly identified genetic risk variants for cel... 5e-09\n",
"25 Newly identified genetic risk variants for cel... 7e-08\n",
"26 Multiple newly identified loci associated with... 9e-29\n",
"27 Multiple newly identified loci associated with... 2e-18\n",
"28 Multiple newly identified loci associated with... 2e-12\n",
"29 Multiple newly identified loci associated with... 6e-10\n",
"... ... ...\n",
"34064 GWAS of 89,283 individuals identifies genetic ... 2E-8\n",
"34065 GWAS of 89,283 individuals identifies genetic ... 7E-6\n",
"34066 GWAS of 89,283 individuals identifies genetic ... 1E-7\n",
"34067 GWAS of 89,283 individuals identifies genetic ... 6E-6\n",
"34068 GWAS of 89,283 individuals identifies genetic ... 4E-6\n",
"34069 GWAS of 89,283 individuals identifies genetic ... 3E-6\n",
"34070 GWAS of 89,283 individuals identifies genetic ... 9E-6\n",
"34071 GWAS of 89,283 individuals identifies genetic ... 7E-6\n",
"34072 GWAS of 89,283 individuals identifies genetic ... 6E-6\n",
"34073 GWAS of 89,283 individuals identifies genetic ... 8E-6\n",
"34074 GWAS of 89,283 individuals identifies genetic ... 1E-7\n",
"34075 GWAS of 89,283 individuals identifies genetic ... 3E-6\n",
"34076 GWAS of 89,283 individuals identifies genetic ... 4E-6\n",
"34077 GWAS of 89,283 individuals identifies genetic ... 4E-6\n",
"34078 GWAS of 89,283 individuals identifies genetic ... 2E-8\n",
"34079 GWAS of 89,283 individuals identifies genetic ... 4E-7\n",
"34080 GWAS of 89,283 individuals identifies genetic ... 7E-6\n",
"34081 GWAS of 89,283 individuals identifies genetic ... 2E-6\n",
"34082 GWAS of 89,283 individuals identifies genetic ... 3E-7\n",
"34083 GWAS of 89,283 individuals identifies genetic ... 5E-6\n",
"34084 GWAS of 89,283 individuals identifies genetic ... 3E-7\n",
"34085 GWAS of 89,283 individuals identifies genetic ... 8E-6\n",
"34086 GWAS of 89,283 individuals identifies genetic ... 4E-7\n",
"34087 GWAS of 89,283 individuals identifies genetic ... 4E-6\n",
"34088 GWAS of 89,283 individuals identifies genetic ... 1E-6\n",
"34089 GWAS of 89,283 individuals identifies genetic ... 7E-7\n",
"34090 GWAS of 89,283 individuals identifies genetic ... 9E-8\n",
"34091 GWAS of 89,283 individuals identifies genetic ... 8E-6\n",
"34092 GWAS of 89,283 individuals identifies genetic ... 8E-6\n",
"34093 GWAS of 89,283 individuals identifies genetic ... 9E-6\n",
"\n",
"[34094 rows x 2 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[[\"STUDY\", \"P-VALUE\"]] # Μονο συγκεκριμμένες κολόνες"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>STUDY</th>\n",
" <th>P-VALUE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
" <td>1e-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>A genome-wide association study of psoriasis a...</td>\n",
" <td>2e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Genome-wide association scan of tag SNPs ident...</td>\n",
" <td>3e-18</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" STUDY P-VALUE\n",
"0 Effect of variation in CHI3L1 on serum YKL-40 ... 1e-13\n",
"1 A genome-wide association study of psoriasis a... 2e-06\n",
"2 Genome-wide association scan of tag SNPs ident... 3e-18"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[[\"STUDY\", \"P-VALUE\"]][:3] # Sygkekrimmenes kolones, prwtes 3 grammes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Αυτό είναι ισοδύναμο με:"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>STUDY</th>\n",
" <th>P-VALUE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
" <td>1e-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>A genome-wide association study of psoriasis a...</td>\n",
" <td>2e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Genome-wide association scan of tag SNPs ident...</td>\n",
" <td>3e-18</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" STUDY P-VALUE\n",
"0 Effect of variation in CHI3L1 on serum YKL-40 ... 1e-13\n",
"1 A genome-wide association study of psoriasis a... 2e-06\n",
"2 Genome-wide association scan of tag SNPs ident... 3e-18"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[:3][[\"STUDY\", \"P-VALUE\"]]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Λίστα με όλες τις κολόνες:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"['DATE ADDED TO CATALOG',\n",
" 'PUBMEDID',\n",
" 'FIRST AUTHOR',\n",
" 'DATE',\n",
" 'JOURNAL',\n",
" 'LINK',\n",
" 'STUDY',\n",
" 'DISEASE/TRAIT',\n",
" 'INITIAL SAMPLE SIZE',\n",
" 'REPLICATION SAMPLE SIZE',\n",
" 'REGION',\n",
" 'CHR_ID',\n",
" 'CHR_POS',\n",
" 'REPORTED GENE(S)',\n",
" 'MAPPED_GENE',\n",
" 'UPSTREAM_GENE_ID',\n",
" 'DOWNSTREAM_GENE_ID',\n",
" 'SNP_GENE_IDS',\n",
" 'UPSTREAM_GENE_DISTANCE',\n",
" 'DOWNSTREAM_GENE_DISTANCE',\n",
" 'STRONGEST SNP-RISK ALLELE',\n",
" 'SNPS',\n",
" 'MERGED',\n",
" 'SNP_ID_CURRENT',\n",
" 'CONTEXT',\n",
" 'INTERGENIC',\n",
" 'RISK ALLELE FREQUENCY',\n",
" 'P-VALUE',\n",
" 'PVALUE_MLOG',\n",
" 'P-VALUE (TEXT)',\n",
" 'OR or BETA',\n",
" '95% CI (TEXT)',\n",
" 'PLATFORM [SNPS PASSING QC]',\n",
" 'CNV']"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"columns = list(gwas.columns.values)\n",
"columns"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Όλες οι γραμμές που έχουν το γονίδιο BRCA2"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>LINK</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>...</th>\n",
" <th>CONTEXT</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
" <th>P-VALUE</th>\n",
" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
" <th>95% CI (TEXT)</th>\n",
" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>12335</th>\n",
" <td>2015-01-21</td>\n",
" <td>24880342</td>\n",
" <td>Wang Y</td>\n",
" <td>2014-06-01</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/24880342</td>\n",
" <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
" <td>Lung cancer</td>\n",
" <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>...</td>\n",
" <td>stop_gained</td>\n",
" <td>0.0</td>\n",
" <td>0.011</td>\n",
" <td>2e-19</td>\n",
" <td>18.698970</td>\n",
" <td>(All lung cancer)</td>\n",
" <td>1.830</td>\n",
" <td>[1.61-2.09]</td>\n",
" <td>Illumina [8900000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12337</th>\n",
" <td>2015-01-21</td>\n",
" <td>24880342</td>\n",
" <td>Wang Y</td>\n",
" <td>2014-06-01</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/24880342</td>\n",
" <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
" <td>Lung cancer</td>\n",
" <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>...</td>\n",
" <td>stop_gained</td>\n",
" <td>0.0</td>\n",
" <td>0.0105</td>\n",
" <td>5e-20</td>\n",
" <td>19.301030</td>\n",
" <td>(Squamous cell carcinoma)</td>\n",
" <td>2.470</td>\n",
" <td>[2.03-3.00]</td>\n",
" <td>Illumina [8900000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14050</th>\n",
" <td>2013-09-12</td>\n",
" <td>23535729</td>\n",
" <td>Michailidou K</td>\n",
" <td>2013-04-01</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23535729</td>\n",
" <td>Large-scale genotyping identifies 41 new loci ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>10,052 European ancestry cases, 12,575 Europea...</td>\n",
" <td>45,290 European ancestry cases, 41,880 Europea...</td>\n",
" <td>...</td>\n",
" <td>stop_gained</td>\n",
" <td>0.0</td>\n",
" <td>0.0080</td>\n",
" <td>5e-08</td>\n",
" <td>7.301030</td>\n",
" <td>NaN</td>\n",
" <td>1.260</td>\n",
" <td>[1.14-1.39]</td>\n",
" <td>Affymetrix, Illumina [~ 2600000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15491</th>\n",
" <td>2013-09-12</td>\n",
" <td>23535733</td>\n",
" <td>Garcia-Closas M</td>\n",
" <td>2013-04-01</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23535733</td>\n",
" <td>Genome-wide association studies identify four ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>4,193 European ancestry cases, 35,194 European...</td>\n",
" <td>6,514 European ancestry cases, 41,455 European...</td>\n",
" <td>...</td>\n",
" <td>stop_gained</td>\n",
" <td>0.0</td>\n",
" <td>0.496</td>\n",
" <td>6e-06</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.520</td>\n",
" <td>[1.31-1.77]</td>\n",
" <td>Illumina [NR]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17138</th>\n",
" <td>2014-05-12</td>\n",
" <td>24097068</td>\n",
" <td>Willer CJ</td>\n",
" <td>2013-10-06</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/24097068</td>\n",
" <td>Discovery and refinement of loci associated wi...</td>\n",
" <td>LDL cholesterol</td>\n",
" <td>94,595 European ancestry individuals</td>\n",
" <td>93,982 European ancestry individuals</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.48</td>\n",
" <td>2e-11</td>\n",
" <td>10.698970</td>\n",
" <td>NaN</td>\n",
" <td>0.024</td>\n",
" <td>[NR] unit increase</td>\n",
" <td>NR [NR] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 34 columns</p>\n",
"</div>"
],
"text/plain": [
" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE JOURNAL \\\n",
"12335 2015-01-21 24880342 Wang Y 2014-06-01 Nat Genet \n",
"12337 2015-01-21 24880342 Wang Y 2014-06-01 Nat Genet \n",
"14050 2013-09-12 23535729 Michailidou K 2013-04-01 Nat Genet \n",
"15491 2013-09-12 23535733 Garcia-Closas M 2013-04-01 Nat Genet \n",
"17138 2014-05-12 24097068 Willer CJ 2013-10-06 Nat Genet \n",
"\n",
" LINK \\\n",
"12335 www.ncbi.nlm.nih.gov/pubmed/24880342 \n",
"12337 www.ncbi.nlm.nih.gov/pubmed/24880342 \n",
"14050 www.ncbi.nlm.nih.gov/pubmed/23535729 \n",
"15491 www.ncbi.nlm.nih.gov/pubmed/23535733 \n",
"17138 www.ncbi.nlm.nih.gov/pubmed/24097068 \n",
"\n",
" STUDY DISEASE/TRAIT \\\n",
"12335 Rare variants of large effect in BRCA2 and CHE... Lung cancer \n",
"12337 Rare variants of large effect in BRCA2 and CHE... Lung cancer \n",
"14050 Large-scale genotyping identifies 41 new loci ... Breast cancer \n",
"15491 Genome-wide association studies identify four ... Breast cancer \n",
"17138 Discovery and refinement of loci associated wi... LDL cholesterol \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"12335 3,442 European ancestry adenocarcinoma cases, ... \n",
"12337 3,442 European ancestry adenocarcinoma cases, ... \n",
"14050 10,052 European ancestry cases, 12,575 Europea... \n",
"15491 4,193 European ancestry cases, 35,194 European... \n",
"17138 94,595 European ancestry individuals \n",
"\n",
" REPLICATION SAMPLE SIZE ... CONTEXT \\\n",
"12335 3,589 European ancestry adenocarcinoma cases, ... ... stop_gained \n",
"12337 3,589 European ancestry adenocarcinoma cases, ... ... stop_gained \n",
"14050 45,290 European ancestry cases, 41,880 Europea... ... stop_gained \n",
"15491 6,514 European ancestry cases, 41,455 European... ... stop_gained \n",
"17138 93,982 European ancestry individuals ... intron_variant \n",
"\n",
" INTERGENIC RISK ALLELE FREQUENCY P-VALUE PVALUE_MLOG \\\n",
"12335 0.0 0.011 2e-19 18.698970 \n",
"12337 0.0 0.0105 5e-20 19.301030 \n",
"14050 0.0 0.0080 5e-08 7.301030 \n",
"15491 0.0 0.496 6e-06 5.221849 \n",
"17138 0.0 0.48 2e-11 10.698970 \n",
"\n",
" P-VALUE (TEXT) OR or BETA 95% CI (TEXT) \\\n",
"12335 (All lung cancer) 1.830 [1.61-2.09] \n",
"12337 (Squamous cell carcinoma) 2.470 [2.03-3.00] \n",
"14050 NaN 1.260 [1.14-1.39] \n",
"15491 NaN 1.520 [1.31-1.77] \n",
"17138 NaN 0.024 [NR] unit increase \n",
"\n",
" PLATFORM [SNPS PASSING QC] CNV \n",
"12335 Illumina [8900000] (imputed) N \n",
"12337 Illumina [8900000] (imputed) N \n",
"14050 Affymetrix, Illumina [~ 2600000] (imputed) N \n",
"15491 Illumina [NR] N \n",
"17138 NR [NR] (imputed) N \n",
"\n",
"[5 rows x 34 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[gwas['MAPPED_GENE'] == 'BRCA2']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Όλα τα διαφορετικά Diseases / Traits"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array(['YKL-40 levels', 'Psoriasis', 'Lung cancer', ...,\n",
" 'Parental longevity (combined parental age at death)',\n",
" 'Glomerular filtration rate in non diabetics (creatinine)',\n",
" 'Morningness'], dtype=object)"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[\"DISEASE/TRAIT\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"ή μπορούμε να πάρουμε μία λίστα:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"['YKL-40 levels',\n",
" 'Psoriasis',\n",
" 'Lung cancer',\n",
" 'Nicotine dependence',\n",
" 'Colorectal cancer',\n",
" 'Type 2 diabetes',\n",
" 'Breast cancer',\n",
" 'Schizophrenia',\n",
" 'Urate levels',\n",
" 'Celiac disease',\n",
" 'Prostate cancer',\n",
" 'LDL cholesterol',\n",
" 'Fetal hemoglobin levels',\n",
" 'Recombination rate (females)',\n",
" 'Recombination rate (males)',\n",
" 'Iris color',\n",
" 'Systemic lupus erythematosus',\n",
" 'Type 1 diabetes',\n",
" 'HDL cholesterol',\n",
" 'Triglycerides',\n",
" 'Height',\n",
" 'Amyotrophic lateral sclerosis',\n",
" 'Coronary spasm',\n",
" 'Rheumatoid arthritis',\n",
" 'Blond vs. brown hair color',\n",
" 'Blue vs. green eyes',\n",
" 'Freckles',\n",
" 'Skin pigmentation',\n",
" 'Select biomarker traits',\n",
" 'Body mass index',\n",
" 'Waist circumference',\n",
" 'Sleep-related phenotypes',\n",
" 'Cystatin C',\n",
" 'Thyroid stimulating hormone',\n",
" 'Urinary albumin excretion',\n",
" 'Bone mineral density',\n",
" 'Hip geometry',\n",
" 'Atrial fibrillation',\n",
" 'Heart failure',\n",
" 'Major CVD',\n",
" 'Blood pressure',\n",
" 'Tonometry',\n",
" 'Morbidity-free survival',\n",
" 'Aging traits',\n",
" 'Diabetes related insulin traits',\n",
" 'Fasting plasma glucose',\n",
" 'Diabetes (incident)',\n",
" 'Electrocardiographic traits',\n",
" 'Heart rate variability traits',\n",
" 'Coronary artery calcification',\n",
" 'Subclinical atherosclerosis traits (other)',\n",
" 'Cognitive test performance',\n",
" 'Volumetric brain MRI',\n",
" 'Echocardiographic traits',\n",
" 'Endothelial function traits',\n",
" 'Exercise treadmill test traits',\n",
" 'Mean forced vital capacity from 2 exams',\n",
" 'Pulmonary function',\n",
" 'Factor VII',\n",
" 'Hemostatic factors and hematological phenotypes',\n",
" \"Crohn's disease\",\n",
" 'F-cell distribution',\n",
" 'Glaucoma (exfoliation)',\n",
" 'Type 2 diabetes nephropathy',\n",
" 'Neuroticism',\n",
" 'Multiple sclerosis',\n",
" 'Asthma',\n",
" 'Obesity-related traits',\n",
" 'Restless legs syndrome',\n",
" 'Coronary heart disease',\n",
" 'Gallstones',\n",
" 'Atrial fibrillation/atrial flutter',\n",
" 'Bipolar disorder',\n",
" 'Hypertension',\n",
" 'Stroke',\n",
" 'Myocardial infarction',\n",
" 'Age-related macular degeneration (wet)',\n",
" \"Parkinson's disease\",\n",
" 'QT interval',\n",
" 'Age-related macular degeneration',\n",
" 'C-reactive protein',\n",
" \"Alzheimer's disease (late onset)\",\n",
" 'Melanoma',\n",
" 'Black vs. blond hair color',\n",
" 'Protein quantitative trait loci',\n",
" 'Neuroblastoma',\n",
" 'Knee osteoarthritis',\n",
" 'Waist circumference and related phenotypes',\n",
" 'Bone mineral density (spine)',\n",
" 'Black vs. red hair color',\n",
" 'Bone mineral density (hip)',\n",
" 'Response to iloperidone treatment (QT prolongation)',\n",
" 'Warfarin maintenance dose',\n",
" 'Red vs. non-red hair color',\n",
" 'Burning and freckling',\n",
" 'End-stage renal disease',\n",
" 'Skin sensitivity to sun',\n",
" 'Osteonecrosis of the jaw',\n",
" 'Arthritis (juvenile idiopathic)',\n",
" 'Soluble ICAM-1',\n",
" 'Response to TNF antagonist treatment',\n",
" \"Crohn's disease and sarcoidosis (combined)\",\n",
" 'Response to diuretic therapy',\n",
" 'Chronic lymphocytic leukemia',\n",
" 'IgE levels',\n",
" 'Inflammatory bowel disease',\n",
" 'Vitamin B12 levels',\n",
" 'Obesity (early onset extreme)',\n",
" \"Alzheimer's disease\",\n",
" 'Red vs non-red hair color',\n",
" 'Blue vs. brown eyes',\n",
" 'Response to statin therapy',\n",
" 'Urinary bladder cancer',\n",
" 'Narcolepsy',\n",
" 'Hip bone size',\n",
" 'Uric acid levels',\n",
" 'Attention deficit hyperactivity disorder',\n",
" 'Ulcerative colitis',\n",
" 'Male-pattern baldness',\n",
" 'Basal cell carcinoma',\n",
" 'Idiopathic pulmonary fibrosis',\n",
" 'Liver enzyme levels',\n",
" 'Intracranial aneurysm',\n",
" 'Brain imaging in schizophrenia (interaction)',\n",
" 'Stroke (ischemic)',\n",
" 'Personality dimensions',\n",
" \"Parkinson's disease (familial)\",\n",
" 'Attention deficit hyperactivity disorder and conduct disorder',\n",
" 'Attention deficit hyperactivity disorder symptoms (interaction)',\n",
" 'Cholesterol, total',\n",
" 'Metabolite levels',\n",
" 'Conduct disorder (interaction)',\n",
" 'Metabolic traits',\n",
" 'Multiple sclerosis (age of onset)',\n",
" 'Multiple sclerosis (severity)',\n",
" 'Normalized brain volume',\n",
" 'Brain lesion load',\n",
" 'Iron status biomarkers',\n",
" 'Mean platelet volume',\n",
" 'AIDS progression',\n",
" 'Kawasaki disease',\n",
" 'Lp (a) levels',\n",
" 'Major depressive disorder',\n",
" 'Creutzfeldt-Jakob disease',\n",
" 'Adiponectin levels',\n",
" 'Response to treatment for acute lymphoblastic leukemia',\n",
" 'Essential tremor',\n",
" 'Asthma (toluene diisocyanate-induced)',\n",
" 'Pain',\n",
" 'Panic disorder',\n",
" 'Hirschsprung disease',\n",
" 'Thyroid cancer',\n",
" 'Eosinophil counts',\n",
" 'Myocardial infarction (early onset)',\n",
" 'Carotenoid and tocopherol levels',\n",
" 'Otosclerosis',\n",
" 'Body mass (lean)',\n",
" 'Biochemical measures',\n",
" 'Anthropometric traits',\n",
" 'Orofacial clefts',\n",
" 'Venous thromboembolism',\n",
" 'Chronic obstructive pulmonary disease',\n",
" 'Folate pathway vitamin levels',\n",
" 'Myeloproliferative neoplasms',\n",
" 'Anti-cyclic Citrullinated Peptide Antibody',\n",
" 'Tanning',\n",
" 'Atopic dermatitis',\n",
" 'Hepatitis B',\n",
" 'Telomere length',\n",
" 'Aging',\n",
" 'Biomedical quantitative traits',\n",
" 'Hyperactive-impulsive symptoms',\n",
" 'Inattentive symptoms',\n",
" 'Attention deficit hyperactivity disorder (time to onset)',\n",
" 'Electrocardiographic conduction measures',\n",
" 'Neuroblastoma (high-risk)',\n",
" 'Autism',\n",
" 'Bilirubin levels',\n",
" 'Systolic blood pressure',\n",
" 'Diastolic blood pressure',\n",
" 'Hypertension (young onset)',\n",
" 'Renal function and chronic kidney disease',\n",
" 'Menarche (age at onset)',\n",
" 'Malaria',\n",
" 'Menarche and menopause (age at onset)',\n",
" 'Testicular cancer',\n",
" 'Testicular germ cell tumor',\n",
" 'Nasopharyngeal carcinoma',\n",
" 'Left ventricular mass',\n",
" 'Glycated hemoglobin levels',\n",
" 'Drug-induced liver injury (flucloxacillin)',\n",
" 'Male infertility',\n",
" 'Quantitative traits',\n",
" 'Kidney stones',\n",
" 'Adiposity',\n",
" 'Obesity (extreme)',\n",
" 'Glioma',\n",
" 'Glioma (high-grade)',\n",
" 'Cutaneous nevi',\n",
" 'Alcohol dependence',\n",
" 'Acenocoumarol maintenance dosage',\n",
" 'Follicular lymphoma',\n",
" 'Pancreatic cancer',\n",
" 'Cardiac structure and function',\n",
" 'Aortic root size',\n",
" 'Ovarian cancer',\n",
" 'Bladder cancer',\n",
" 'Response to antipsychotic treatment',\n",
" 'Response to hepatitis C treatment',\n",
" 'Acute lymphoblastic leukemia (childhood)',\n",
" 'Esophageal cancer',\n",
" 'Hippocampal atrophy',\n",
" 'Asthma (childhood onset)',\n",
" 'Type 2 diabetes and other traits',\n",
" 'Obesity and osteoporosis',\n",
" 'Soluble E-selectin levels',\n",
" 'Exercise (leisure time)',\n",
" 'AIDS',\n",
" 'Myopia (pathological)',\n",
" 'Speech perception in dyslexia',\n",
" 'Hemoglobin',\n",
" 'Hematological parameters',\n",
" 'Vitamin E levels',\n",
" 'Systemic sclerosis',\n",
" 'Ankylosing spondylitis',\n",
" 'IFN-related cytopenia',\n",
" 'Fibrinogen',\n",
" 'Hepatitis B vaccine response',\n",
" 'Interstitial lung disease',\n",
" 'Vascular endothelial growth factor levels',\n",
" 'Cardiovascular disease risk factors',\n",
" 'Drug-induced Stevens-Johnson syndrome or toxic epidermal necrolysis (SJS/TEN)',\n",
" 'Hepcidin levels',\n",
" 'Aging (time to death)',\n",
" 'Phospholipid levels (plasma)',\n",
" 'Aging (time to event)',\n",
" 'Epirubicin-induced leukopenia',\n",
" 'Meningioma',\n",
" 'Nevirapine-induced rash',\n",
" 'vWF and FVIII levels',\n",
" 'Type 1 diabetes autoantibodies',\n",
" 'Cortical thickness',\n",
" 'Tardive dyskinesia',\n",
" 'Iris characteristics',\n",
" \"Graves' disease\",\n",
" 'Response to metformin',\n",
" 'Butyrylcholinesterase levels',\n",
" 'Osteoarthritis',\n",
" 'Insulin resistance/response',\n",
" 'Non-small cell lung cancer',\n",
" 'Proinsulin levels',\n",
" 'Coffee consumption',\n",
" 'Coronary restenosis',\n",
" 'Retinol levels',\n",
" 'HPV seropositivity',\n",
" 'Aspartate aminotransferase',\n",
" 'Permanent tooth development',\n",
" 'Gamma glutamyl transpeptidase',\n",
" 'Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS-TEN)',\n",
" 'Thoracic aortic aneurysms and dissections',\n",
" 'Carotid intima media thickness',\n",
" 'Dental caries',\n",
" 'Corneal structure',\n",
" 'Testosterone levels',\n",
" 'Response to antipsychotic therapy (extrapyramidal side effects)',\n",
" 'Cytomegalovirus antibody response',\n",
" 'Lipoprotein-associated phospholipase A2 activity and mass',\n",
" 'Dengue shock syndrome',\n",
" 'Smoking behavior',\n",
" 'Renal cell carcinoma',\n",
" 'Premature ovarian failure',\n",
" 'Response to platinum-based agents',\n",
" 'Leprosy',\n",
" 'Scoliosis',\n",
" 'Lipid traits',\n",
" 'Liver enzyme levels (alanine transaminase)',\n",
" 'Liver enzyme levels (alkaline phosphatase)',\n",
" 'Liver enzyme levels (gamma-glutamyl transferase)',\n",
" 'Gastric cancer',\n",
" 'Renal sinus fat',\n",
" 'White blood cell count',\n",
" 'Cognitive decline',\n",
" 'Abdominal aortic aneurysm',\n",
" 'Response to anti-depressant treatment in major depressive disorder',\n",
" 'Aortic stiffness',\n",
" 'Allergic rhinitis',\n",
" 'IgE grass sensitization',\n",
" 'Gamma gluatamyl transferase levels',\n",
" 'Femoral neck bone geometry',\n",
" 'Depression and alcohol dependence',\n",
" 'Hypothyroidism',\n",
" 'Epilepsy',\n",
" 'Multiple myeloma',\n",
" 'Cognitive function',\n",
" 'Corneal astigmatism',\n",
" 'Vertical cup-disc ratio',\n",
" 'Phytosterol levels',\n",
" 'Testicular germ cell cancer',\n",
" 'Endometriosis',\n",
" 'Conduct disorder (symptom count)',\n",
" 'Conduct disorder',\n",
" 'Hair color',\n",
" \"Behcet's disease\",\n",
" 'Eye color',\n",
" 'Freckling',\n",
" 'Common traits (Other)',\n",
" 'Primary biliary cirrhosis',\n",
" 'Nephropathy',\n",
" 'Peripheral artery disease',\n",
" 'Lumiracoxib-related liver injury',\n",
" 'Resting heart rate',\n",
" 'Alopecia areata',\n",
" 'Phosphorus levels',\n",
" 'Ribavirin-induced anemia',\n",
" 'Hematology traits',\n",
" 'Hepatocellular carcinoma',\n",
" 'Glomerulosclerosis',\n",
" 'Tuberculosis',\n",
" 'Meningococcal disease',\n",
" 'Immunoglobulin A',\n",
" 'Keloid',\n",
" 'Neonatal lupus',\n",
" 'Emphysema-related traits',\n",
" 'Metabolic syndrome',\n",
" 'Calcium levels',\n",
" 'CD4:CD8 lymphocyte ratio',\n",
" 'Magnesium levels',\n",
" 'Chronic kidney disease and serum creatinine levels',\n",
" 'Self-rated health',\n",
" 'Schizophrenia, bipolar disorder and depression (combined)',\n",
" 'Hypertriglyceridemia',\n",
" 'Esophageal cancer and gastric cancer',\n",
" 'Central corneal thickness',\n",
" 'Migraine',\n",
" 'Bitter taste response',\n",
" 'Lung adenocarcinoma',\n",
" 'Refractive error',\n",
" 'Non-alcoholic fatty liver disease histology (other)',\n",
" 'Non-alcoholic fatty liver disease histology (lobular)',\n",
" 'Non-alcoholic fatty liver disease histology (AST)',\n",
" 'Multiple sclerosis--Brain Glutamate Levels',\n",
" 'Protein C levels',\n",
" 'Glaucoma (primary open-angle)',\n",
" 'Depression (quantitative trait)',\n",
" 'Smoking cessation',\n",
" \"Fuchs's corneal dystrophy\",\n",
" 'Adverse response to aromatase inhibitors',\n",
" 'Red blood cell traits',\n",
" 'Suicidal ideation',\n",
" 'Antipsychotic-induced QTc interval prolongation',\n",
" 'Waist-hip ratio',\n",
" 'Erectile dysfunction and prostate cancer treatment',\n",
" 'Psoriatic arthritis',\n",
" 'Cerebrospinal AB1-42 levels',\n",
" 'Cerebrospinal T-tau levels',\n",
" 'Cerebrospinal P-tau181p levels',\n",
" 'Body mass in chronic obstructive pulmonary disease',\n",
" 'Radiation response',\n",
" \"Dupuytren's disease\",\n",
" 'Suicide risk',\n",
" \"Hodgkin's lymphoma\",\n",
" 'Breast cancer in BRCA2 mutation carriers',\n",
" 'Retinal vascular caliber',\n",
" 'Moyamoya disease',\n",
" 'Non-small cell lung cancer (survival)',\n",
" 'Event-related brain oscillations',\n",
" 'Atrioventricular conduction',\n",
" 'Bipolar disorder and schizophrenia',\n",
" 'QRS duration',\n",
" 'Handedness in dyslexia',\n",
" 'Anorexia nervosa',\n",
" 'HIV-1 control',\n",
" 'Weight',\n",
" 'Hypospadias',\n",
" 'Small-cell lung cancer (survival)',\n",
" 'Response to antipsychotic treatment in schizophrenia (working memory)',\n",
" 'Response to antipsychotic treatment in schizophrenia (reasoning)',\n",
" 'Response to bleomycin (chromatid breaks)',\n",
" 'Amyloid A serum levels',\n",
" 'Primary sclerosing cholangitis',\n",
" 'Ileal carcinoids',\n",
" 'Polycystic ovary syndrome',\n",
" 'Adverse response to carbamapezine',\n",
" 'Asperger disorder',\n",
" 'Response to acetaminophen (hepatotoxicity)',\n",
" 'Hoarding',\n",
" \"Alzheimer's disease biomarkers\",\n",
" 'Progranulin levels',\n",
" 'Bone mineral density (wrist)',\n",
" 'Response to metformin in type 2 diabetes (glycemic)',\n",
" 'HIV-1 susceptibility',\n",
" 'N-glycan levels',\n",
" 'Serum prostate-specific antigen levels',\n",
" 'Information processing speed',\n",
" 'HIV-1 progression',\n",
" 'Chronic hepatitis C infection',\n",
" 'Adolescent idiopathic scoliosis',\n",
" 'Cardiac muscle measurement',\n",
" 'Insulin-like growth factors',\n",
" 'Thyroid cancer (Papillary, radiation-related)',\n",
" 'Asparaginase hypersensitivity in acute lymphoblastic leukemia',\n",
" 'Coronary artery disease',\n",
" 'Percent mammographic density',\n",
" 'Response to anti-TNF alpha therapy in inflammatory bowel disease',\n",
" \"Crohn's disease and celiac disease\",\n",
" 'C-reactive protein levels',\n",
" 'Optic disc area',\n",
" 'Natriuretic peptide levels',\n",
" 'Diabetic retinopathy',\n",
" 'PR interval',\n",
" 'HIV-1 replication',\n",
" 'Vitiligo',\n",
" 'Metabolic syndrome (bivariate traits)',\n",
" 'HDL Cholesterol - Triglycerides (HDLC-TG)',\n",
" 'Triglycerides-Blood Pressure (TG-BP)',\n",
" 'Waist Circumference - Triglycerides (WC-TG)',\n",
" 'Personality traits in bipolar disorder',\n",
" 'Celiac disease or Rheumatoid arthritis',\n",
" 'Drinking behavior',\n",
" 'Cerivastatin-induced rhabdomyolysis',\n",
" 'Cardiac hypertrophy',\n",
" 'Alcohol consumption',\n",
" 'Bipolar disorder (age of onset and psychotic symptoms)',\n",
" 'Nonalcoholic fatty liver disease',\n",
" 'Suicide attempts in bipolar disorder',\n",
" 'Vaccine-related adverse events',\n",
" 'Nephrotic syndrome (acquired)',\n",
" 'Upper aerodigestive tract cancers',\n",
" 'Idiopathic membranous nephropathy',\n",
" '5-HTT brain serotonin transporter levels',\n",
" 'Uterine fibroids',\n",
" 'Large B-cell lymphoma',\n",
" 'Neuranatomic and neurocognitive phenotypes',\n",
" 'Endometrial cancer',\n",
" 'Caffeine consumption',\n",
" 'Response to interferon beta therapy',\n",
" 'Response to platinum-based chemotherapy in non-small-cell lung cancer',\n",
" 'Caudate nucleus volume',\n",
" 'Dilated cardiomyopathy',\n",
" 'D-dimer levels',\n",
" 'Neutrophil count',\n",
" 'Platelet count',\n",
" 'Glaucoma',\n",
" 'Dehydroepiandrosterone sulphate levels',\n",
" 'Longevity',\n",
" 'Attention deficit hyperactivity disorder motor coordination',\n",
" 'Alcoholism (heaviness of drinking)',\n",
" 'Alcoholism (alcohol use disorder factor score)',\n",
" 'Alcoholism (alcohol dependence factor score)',\n",
" 'Alcoholism (12-month weekly alcohol consumption)',\n",
" 'Monocyte early outgrowth colony forming units',\n",
" 'Obesity',\n",
" 'Urinary metabolites',\n",
" 'Chronic myeloid leukemia',\n",
" 'Dialysis-related mortality',\n",
" 'Thyroid volume',\n",
" 'Drug-induced liver injury (amoxicillin-clavulanate)',\n",
" 'Osteoporosis',\n",
" 'Cystic fibrosis severity',\n",
" 'Platelet function and related traits',\n",
" \"Paget's disease\",\n",
" 'Response to antineoplastic agents',\n",
" 'Alcohol consumption (transferrin glycosylation)',\n",
" 'Corneal curvature',\n",
" 'White matter hyperintensity burden',\n",
" 'Sudden cardiac arrest',\n",
" 'Progressive supranuclear palsy',\n",
" 'Age at smoking initiation in chronic obstructive pulmonary disease',\n",
" 'Cannabis dependence',\n",
" \"Ulcerative colitis or Crohn's disease\",\n",
" 'Erythrocyte sedimentation rate',\n",
" 'White blood cell types',\n",
" 'Response to gemcitabine in pancreatic cancer',\n",
" 'Ovarian reserve',\n",
" 'Creutzfeldt-Jakob disease (variant)',\n",
" 'HIV-1 viral setpoint',\n",
" 'Response to tamoxifen in breast cancer',\n",
" 'IgA nephropathy',\n",
" 'Prion diseases',\n",
" 'Non-obstructive azoospermia',\n",
" 'Ankle-brachial index',\n",
" 'Type 2 diabetes and gout',\n",
" 'Substance dependence',\n",
" 'Anticoagulant levels',\n",
" 'Life threatening arrhythmia',\n",
" 'Diabetes (gestational)',\n",
" 'Inflammatory biomarkers',\n",
" 'Menopause (age at onset)',\n",
" 'Breast cancer (survival)',\n",
" 'Lymphocyte counts',\n",
" 'Lipid metabolism phenotypes',\n",
" 'Infantile hypertrophic pyloric stenosis',\n",
" 'Gallbladder cancer',\n",
" 'Hypertension risk in short sleep duration',\n",
" 'Ewing sarcoma',\n",
" 'Cardiac repolarization',\n",
" 'Cortical structure (interaction)',\n",
" 'Facial morphology',\n",
" 'Treatment response for severe sepsis',\n",
" 'Temperament (bipolar disorder)',\n",
" 'Response to statin therapy (LDL-C)',\n",
" 'Nephrolithiasis',\n",
" 'Gaucher disease severity',\n",
" 'Duodenal ulcer',\n",
" 'Haptoglobin levels',\n",
" 'Adverse response to lamotrigine and phenytoin',\n",
" 'Thyrotoxic hypokalemic periodic paralysis',\n",
" 'Sphingolipid levels',\n",
" 'Body mass index and cholesterol (psychopharmacological treatment)',\n",
" 'White matter integrity',\n",
" 'Intelligence',\n",
" 'Pulmonary function decline',\n",
" 'Sexual dysfunction (SSRI/SNRI-related)',\n",
" 'Schizophrenia (treatment resistant)',\n",
" 'Chronic kidney disease',\n",
" 'Brachial circumference',\n",
" 'Glioblastoma',\n",
" 'Lipid levels in hepatitis C treatment',\n",
" 'Alcohol and nictotine co-dependence',\n",
" 'Response to Vitamin E supplementation',\n",
" 'Sexual dysfunction (female)',\n",
" 'Circulating cell-free DNA',\n",
" 'Head circumference (infant)',\n",
" 'Brain structure',\n",
" 'Intracranial volume',\n",
" 'Hippocampal volume',\n",
" 'Thyroid function',\n",
" 'Response to tocilizumab in rheumatoid arthritis',\n",
" \"Crohn's disease and psoriasis\",\n",
" 'Non-albumin protein levels',\n",
" 'Intraocular pressure',\n",
" 'Electroencephalographic traits in alcoholism',\n",
" 'Response to TNF-alpha inhibitors in rheumatoid arthritis',\n",
" 'HIV-associated dementia',\n",
" 'Antipsychotic drug-induced weight gain',\n",
" 'Response to angiotensin II receptor blocker therapy',\n",
" 'Response to angiotensin II receptor blocker therapy (opposite direction w/ diuretic therapy)',\n",
" 'Pericardial fat',\n",
" 'Immune response to smallpox vaccine (IL-6)',\n",
" 'Response to antidepressants',\n",
" 'Other erythrocyte phenotypes',\n",
" 'Hematocrit',\n",
" 'Mean corpuscular hemoglobin',\n",
" 'Mean corpuscular volume',\n",
" 'Response to citalopram treatment',\n",
" 'Iron levels',\n",
" 'Homocysteine levels',\n",
" 'Arterial stiffness',\n",
" 'RR interval (heart rate)',\n",
" 'Matrix metalloproteinase levels',\n",
" 'Inflammatory bowel disease (early onset)',\n",
" 'Periodontitis',\n",
" 'Beta thalassemia/hemoglobin E disease',\n",
" 'Atopy',\n",
" 'Carotid atherosclerosis in HIV infection',\n",
" 'Major depressive disorder (broad)',\n",
" 'Cholesterol',\n",
" 'Hearing impairment',\n",
" 'Major mood disorders',\n",
" 'Angiotensin-converting enzyme activity',\n",
" 'Brain imaging',\n",
" 'Fasting glucose-related traits',\n",
" 'Fasting insulin-related traits',\n",
" 'Two-hour glucose challenge',\n",
" 'Response to clopidogrel therapy',\n",
" 'Interleukin-18 levels',\n",
" 'E-selectin levels',\n",
" 'Soluble levels of adhesion molecules',\n",
" 'Soluble leptin receptor levels',\n",
" 'Osteoporosis-related phenotypes',\n",
" 'Eosinophilic esophagitis (pediatric)',\n",
" 'Functional MRI',\n",
" 'C4b binding protein levels',\n",
" 'Digit length ratio',\n",
" 'Activated partial thromboplastin time',\n",
" 'Chemerin levels',\n",
" 'Birth weight',\n",
" 'Creatinine levels',\n",
" 'Bipolar I disorder',\n",
" 'Mortality in heart failure',\n",
" 'Optic nerve measurement (disc area)',\n",
" 'Vitamin D levels',\n",
" 'Cleft lip',\n",
" 'Optic nerve measurement (cup area)',\n",
" 'Optic nerve measurement (rim area)',\n",
" 'Biliary atresia',\n",
" 'Eye color traits',\n",
" 'Platelet aggregation',\n",
" 'Partial epilepsies',\n",
" 'End-stage renal disease (non-diabetic)',\n",
" 'Vitamin D insufficiency',\n",
" 'Optic disc parameters',\n",
" 'Coronary heart disease event reduction in response to statin therapy (interaction)',\n",
" 'Immune response to anthrax vaccine',\n",
" \"Parkinson's disease (motor and cognition)\",\n",
" 'Formal thought disorder in schizophrenia',\n",
" 'Response to irinotecan in non-small-cell lung cancer',\n",
" 'IgG levels',\n",
" 'Cholelithiasis-related traits in sickle cell anemia',\n",
" 'Lung cancer (asbestos exposure interaction)',\n",
" 'Wilms tumor',\n",
" 'Sex hormone-binding globulin levels',\n",
" 'Estradiol levels',\n",
" 'Erectile dysfunction in type 1 diabetes',\n",
" 'Hepatitis B (viral clearance)',\n",
" 'Lean body mass and age at menarche (combined)',\n",
" 'Fasting insulin-related traits (interaction with BMI)',\n",
" 'Fasting glucose-related traits (interaction with BMI)',\n",
" 'Immune reponse to smallpox (secreted IL-2)',\n",
" 'Immune reponse to smallpox (secreted IL-1beta)',\n",
" 'Immune reponse to smallpox (secreted IFN-alpha)',\n",
" 'Immune reponse to smallpox (secreted IL-10)',\n",
" 'Immune reponse to smallpox (secreted TNF-alpha)',\n",
" 'Immune reponse to smallpox (secreted IL-12p40)',\n",
" 'Economic and political preferences',\n",
" 'Economic and political preferences (environmentalism)',\n",
" 'Economic and political preferences (fairness)',\n",
" 'Economic and political preferences (feminism/equality)',\n",
" 'Economic and political preferences (immigration/crime)',\n",
" 'Economic and political preferences (time)',\n",
" 'Breast size',\n",
" 'Insomnia (caffeine-induced)',\n",
" 'Temperament',\n",
" 'Age-related macular degeneration (CNV)',\n",
" 'Age-related macular degeneration (CNV vs. GA)',\n",
" 'Age-related macular degeneration (GA)',\n",
" 'Subcutaneous adipose tissue',\n",
" 'Visceral fat',\n",
" 'Visceral adipose tissue/subcutaneous adipose tissue ratio',\n",
" 'Visceral adipose tissue adjusted for BMI',\n",
" 'Prothrombin time',\n",
" 'Insulin-related traits',\n",
" 'C-reactive protein and white blood cell count',\n",
" 'Antineutrophil cytoplasmic antibody-associated vasculitis',\n",
" 'Sclerosing cholangitis and ulcerative colitis (combined)',\n",
" 'Gambling',\n",
" 'Renal function-related traits (BUN)',\n",
" 'Cannabis use (initiation)',\n",
" 'Resistin levels',\n",
" 'Hepatitis C induced liver fibrosis',\n",
" 'IgA levels',\n",
" 'Asthma (bronchodilator response)',\n",
" 'Response to fenofibrate',\n",
" 'Renal function-related traits (sCR)',\n",
" 'Renal function-related traits (eGRFcrea)',\n",
" 'Renal function-related traits (urea)',\n",
" 'Tourette syndrome',\n",
" 'Obsessive-compulsive disorder',\n",
" 'Capecitabine sensitivity',\n",
" 'Lentiform nucleus volume',\n",
" 'Airflow obstruction',\n",
" 'Eating disorders',\n",
" 'Sarcoidosis',\n",
" 'Glaucoma (primary angle closure)',\n",
" 'Vaspin levels',\n",
" 'Comprehensive strength and appendicular lean mass',\n",
" 'Androgen levels',\n",
" 'Epilepsy (generalized)',\n",
" 'Esophageal cancer (squamous cell)',\n",
" 'Drug-induced liver injury',\n",
" \"Barrett's esophagus\",\n",
" 'Hematological and biochemical traits',\n",
" 'Mean corpuscular hemoglobin concentration',\n",
" 'Red blood cell count',\n",
" 'Plasminogen activator inhibitor type 1 levels (PAI-1)',\n",
" 'Disc degeneration (lumbar)',\n",
" 'Type 1 diabetes nephropathy',\n",
" 'Response to amphetamines',\n",
" 'Breast cancer (male)',\n",
" 'Monocyte chemoattractant protein-1',\n",
" 'Complement C3 and C4 levels',\n",
" 'Vascular dementia',\n",
" 'Circulating vasoactive peptide levels',\n",
" 'Monocyte count',\n",
" 'Tumor biomarkers',\n",
" 'Schizophrenia (cytomegalovirus infection interaction)',\n",
" \"Response to cholinesterase inhibitors in Alzheimer's disease\",\n",
" 'Tetralogy of Fallot',\n",
" 'Epstein-Barr virus immune response (EBNA-1)',\n",
" 'Lymphoma',\n",
" 'Sickle cell anemia (haemolysis)',\n",
" 'Beta-2 microglubulin plasma levels',\n",
" 'Renal transplant outcome',\n",
" 'Presence of antiphospholipid antibodies',\n",
" 'Autism spectrum disorder, attention deficit-hyperactivity disorder, bipolar disorder, major depressive disorder, and schizophrenia (combined)',\n",
" 'Iron deficiency',\n",
" 'IgG glycosylation',\n",
" 'Addiction',\n",
" 'Intelligence (childhood)',\n",
" 'Multiple sclerosis (OCB status)',\n",
" 'Dietary macronutrient intake',\n",
" 'Orofacial clefts (interaction)',\n",
" 'QT interval (interaction)',\n",
" 'Response to dabigatran etexilate treatment',\n",
" 'Response to irinotecan and platinum-based chemotherapy in non-small-cell lung cancer',\n",
" 'Pulmonary arterial hypertension (without BMPR2 mutations)',\n",
" 'Aspirin hydrolysis (plasma)',\n",
" 'Estradiol plasma levels (breast cancer)',\n",
" 'Pubertal anthropometrics',\n",
" 'Retinopathy in non-diabetics',\n",
" 'Pulmonary function in asthmatics',\n",
" 'Glomerular filtration rate',\n",
" 'Thiazide-induced adverse metabolic effects in hypertensive patients',\n",
" 'Non-alcoholic fatty liver disease',\n",
" 'Thyroid hormone levels',\n",
" 'Non-melanoma skin cancer',\n",
" 'Cognitive performance',\n",
" 'Stroke (pediatric)',\n",
" 'Periodontal microbiota',\n",
" 'Myasthenia gravis',\n",
" 'Serum albumin level',\n",
" 'Amyotrophic lateral sclerosis (age of onset)',\n",
" 'Protein biomarker',\n",
" 'HbA2 levels',\n",
" 'Apolipoprotein Levels',\n",
" 'Esophageal cancer (alcohol interaction)',\n",
" 'Bipolar disorder with mood-incongruent psychosis',\n",
" 'Response to taxane treatment (placlitaxel)',\n",
" 'Response to taxane treatment (docetaxel)',\n",
" 'Serum total protein level',\n",
" 'Lung Cancer (DNA repair capacity)',\n",
" 'IgM levels',\n",
" 'Cholesterol and Triglycerides',\n",
" 'Multiple cancers (lung cancer, gastric cancer, and squamous cell carcinoma)',\n",
" 'Lipoprotein-associated phospholipase A2 activity change in response to statin therapy',\n",
" 'Cataracts in type 2 diabetes',\n",
" 'Serum tamsulosin hydrochloride concentration',\n",
" 'Sagittal craniosynostosis',\n",
" 'Response to fenofibrate (adiponectin levels)',\n",
" 'Response to temozolomide',\n",
" 'Pancreatitis',\n",
" 'Aspirin exacerbated respiratory disease in asthmatics',\n",
" 'Chronic obstructive pulmonary disease-related biomarkers',\n",
" 'Body mass index (interaction)',\n",
" 'Waist-to-hip circumference ratio (interaction)',\n",
" 'Opioid sensitivity',\n",
" 'Spine bone size',\n",
" 'Methotrexate clearance (acute lymphoblastic leukemia)',\n",
" 'Aging (facial)',\n",
" 'Hepatocellular carcinoma in hepatitis B infection',\n",
" 'Cardiac Troponin-T levels',\n",
" 'Prostate-specific antigen levels',\n",
" 'Pulmonary function (interaction)',\n",
" 'Hypersomnia (HLA-DQB1*06:02 negative)',\n",
" 'Psychosis (methamphetamine induced)',\n",
" 'Circulating myeloperoxidase levels (plasma)',\n",
" 'Circulating myeloperoxidase levels (serum)',\n",
" 'Callous-unemotional behaviour',\n",
" 'Attention deficit hyperactivity disorder (combined symptoms)',\n",
" 'Attention deficit hyperactivity disorder (hyperactivity-impulsivity symptoms)',\n",
" 'Attention deficit hyperactivity disorder (inattention symptoms)',\n",
" 'Sensory disturbances after bilateral sagittal split ramus osteotomy',\n",
" 'Weight loss (gastric bypass surgery)',\n",
" 'PCA3 expression level',\n",
" 'Brugada syndrome',\n",
" 'Body mass index in asthmatics',\n",
" 'Preeclampsia',\n",
" 'Brain cytoarchitecture',\n",
" 'Body mass index in non-asthmatics',\n",
" 'Brain structure (temporal lobe volume)',\n",
" 'Brain structure (hippocampal volume)',\n",
" \"Crohn's disease (time to surgery)\",\n",
" 'Allergic dermatitis (nickel)',\n",
" 'Odorant perception (&beta;-damascenone)',\n",
" 'Molar-incisor hypomineralization',\n",
" 'Myopia (severe)',\n",
" 'Axial length',\n",
" 'IgE levels in asthmatics',\n",
" 'IgE levels in asthmatics (D.p. specific)',\n",
" 'IgE levels in asthmatics (D.f. specific)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (carboplatin)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (all antimicrotubule drugs)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (paclitaxel)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (cyclophosphamide)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (all platinum-based drugs)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (cisplatin)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (all anthracycline-based drugs)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (doxorubicin)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (epirubicin)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (all antimetabolite drugs)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (5-fluorouracil)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (gemcitabine)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (docetaxel)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (all topoisomerase inhibitors)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (camptothecin)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (etoposide)',\n",
" 'Adverse response to chemotherapy (neutropenia/leucopenia) (paclitaxel + carboplatin)',\n",
" 'Bitter taste perception',\n",
" 'Cocaine dependence',\n",
" 'Post-traumatic stress disorder (asjusted for relatedness)',\n",
" 'Age-related macular degeneration (smoking status interaction)',\n",
" 'Epilepsy (remission after treatment)',\n",
" 'Otitis media (chronic/recurrent)',\n",
" 'Blood trace element (Cu levels)',\n",
" 'Blood trace element (Zn levels)',\n",
" 'Blood trace element (Se levels)',\n",
" 'Congenital heart disease',\n",
" 'Dermatomyositis',\n",
" 'Borderline personality disorder features',\n",
" 'Cardiovascular heart disease in diabetics',\n",
" 'Airway hyperresponsiveness',\n",
" 'Osteoarthritis (hip)',\n",
" 'Acute lymphoblastic leukemia (B-cell precursor)',\n",
" 'Response to mTOR inhibitor (rapamycin)',\n",
" 'Response to mTOR inhibitor (everolimus)',\n",
" 'Orthostatic hypotension',\n",
" 'Sleep time',\n",
" 'Sleep quality',\n",
" 'Sleep depth',\n",
" 'Sleep duration',\n",
" 'Insomnia',\n",
" 'Educational attainment',\n",
" 'Serum protein levels (sST2)',\n",
" 'Adolescent idiopathic scoliosis (severe)',\n",
" 'Response to diuretic therapy in hypertension',\n",
" 'Nicotine use',\n",
" 'Illicit drug use',\n",
" 'Non-substance related behavioral disinhibition',\n",
" 'Mesial temporal lobe epilepsy with hippocampal sclerosis',\n",
" \"Wegener's granulomatosis\",\n",
" 'Reading and spelling',\n",
" 'Adverse response to chemotherapy in breast cancer (alopecia)',\n",
" 'Systemic lupus erythematosus and Systemic sclerosis',\n",
" 'Non-word repetition',\n",
" 'Word reading',\n",
" 'End-stage renal disease in Type 1 diabetics',\n",
" 'Functional impairment in major depressive disorder, bipolar disorder and schizophrenia',\n",
" 'Chronic hepatitis B infection',\n",
" 'Systolic blood pressure in sickle cell anemia',\n",
" 'Social communication problems',\n",
" 'Hormone measurements',\n",
" 'Fat body mass',\n",
" 'Gray matter volume (schizophrenia interaction)',\n",
" 'Schizophrenia (age at onset)',\n",
" 'Lobular breast cancer (menopausal hormone therapy interaction)',\n",
" 'Breast cancer (menopausal hormone therapy interaction)',\n",
" 'Psychosis (atypical)',\n",
" 'Migraine with aura',\n",
" 'Migraine without aura',\n",
" 'Serum alkaline phosphatase levels',\n",
" 'Self-reported allergy',\n",
" 'Response to platinum-based chemotherapy (carboplatin)',\n",
" 'Response to platinum-based chemotherapy (cisplatin)',\n",
" 'Handedness',\n",
" \"Sjögren's syndrome\",\n",
" 'Recombination measurement (males)',\n",
" 'Recombination measurement (females)',\n",
" 'Gout',\n",
" 'Serum uric acid levels',\n",
" 'Social autistic-like traits',\n",
" 'Esophageal adenocarcinoma',\n",
" \"Digestive system disease (Barrett's esophagus and esophageal adenocarcinoma combined)\",\n",
" 'Bronchopulmonary dysplasia',\n",
" 'Blood metabolite levels',\n",
" 'P wave duration',\n",
" 'PR segment',\n",
" 'Pulse pressure in young-onset hypertension',\n",
" 'Prostate cancer (early onset)',\n",
" 'Response to radiotherapy in cancer (late toxicity)',\n",
" 'Response to inhaled corticosteroid treatment in asthma (percentage change of FEV1)',\n",
" 'Free thyroxine concentration',\n",
" 'Thyroid peroxidase antibody positivity',\n",
" 'Morphine dose requirement in tonsillectomy and adenoidectomy surgery',\n",
" 'Plasma omega-6 polyunsaturated fatty acid levels (linoleic acid)',\n",
" 'Irritable bowel syndrome',\n",
" 'Plasma omega-6 polyunsaturated fatty acid levels (dihomo-gamma-linolenic acid)',\n",
" 'Plasma omega-6 polyunsaturated fatty acid levels (arachidonic acid)',\n",
" 'Immune response to measles-mumps-rubella vaccine',\n",
" 'Acne (severe)',\n",
" 'Forced vital capacity',\n",
" 'Lupus nephritis in systemic lupus erythematosus',\n",
" 'Exfoliation glaucoma or exfoliation syndrome',\n",
" 'Asthma (sex interaction)',\n",
" 'Arsenic metabolism',\n",
" 'Birdshot chorioretinopathy',\n",
" 'Blood pressure (anthropometric measures interaction)',\n",
" 'Bone mineral density (paediatric, total body less head)',\n",
" 'Bone mineral density (paediatric, lower limb)',\n",
" 'Bone mineral density (paediatric, upper limb)',\n",
" 'Suicide attempts in depression or bipolar disorder',\n",
" 'Neuropathic pain in type 2 diabetes',\n",
" 'Response to radiotherapy in prostate cancer (toxicity)',\n",
" 'Frontotemporal dementia',\n",
" 'Blood metabolite ratios',\n",
" 'Response to haloperidol in psychosis',\n",
" 'Forced expiratory volume in 1 second',\n",
" 'Chronic periodontitis',\n",
" 'Local histogram emphysema pattern',\n",
" 'Bone mineral density (paediatric, skull)',\n",
" 'Age-related nuclear cataracts',\n",
" 'Eosinophilic esophagitis',\n",
" 'Age-related hearing impairment',\n",
" \"Cerebrospinal AB1-42 levels in Alzheimer's disease dementia\",\n",
" 'Serum lipase activity',\n",
" 'Mixed cryoglobulinemia vasculitis in chronic hepatitis C infection',\n",
" 'Blood pressure (age interaction)',\n",
" 'Asthma or chronic obstructive pulmonary disease',\n",
" 'Osteoarthritis biomarkers',\n",
" 'Elevated serum carcinoembryonic antigen levels',\n",
" 'Hearing function',\n",
" 'Alcohol dependence (age at onset)',\n",
" 'Ossification of the posterior longitudinal ligament of the spine',\n",
" 'Osteoprotegerin levels',\n",
" 'Suicidal ideation in depression or bipolar disorder',\n",
" 'Food antigen IgG levels',\n",
" 'Pneumoconiosis in silica exposure',\n",
" 'Glaucoma (high intraocular pressure)',\n",
" 'Serum ferritin levels',\n",
" 'Hemoglobin A2 levels in sickle cell anemia',\n",
" \"Tourette's syndrome or obsessive-compulsive disorder\",\n",
" 'Height adjusted BMI',\n",
" 'Allergic rhinitis in asthma',\n",
" 'Allergic rhinitis in non-asthmatics',\n",
" \"Heschl's gyrus morphology\",\n",
" 'Vogt-Koyanagi-Harada syndrome',\n",
" 'Carotid plaque burden (smoking interaction)',\n",
" 'Esophageal squamous cell carcinoma',\n",
" 'Congenital left-sided heart lesions',\n",
" 'Epithelial ovarian cancer',\n",
" 'Antinuclear antibody levels',\n",
" 'Vitamin B levels in ischemic stroke',\n",
" 'Amyotrophic lateral sclerosis or frontotemporal dementia',\n",
" 'Creatine kinase in statin users',\n",
" 'Laryngeal squamous cell carcinoma',\n",
" 'Response to thiopurine immunosuppressants in inflammatory bowel disease (pancreatitis) (azathioprine and mercaptopurine)',\n",
" 'Aggressive periodontitis (sex interaction)',\n",
" 'Binge eating behaviour and bipolar disorder',\n",
" 'Binge eating behaviour in bipolar disorder',\n",
" 'Blood pressure (smoking interaction)',\n",
" 'Plasma plasminogen levels',\n",
" 'Diffuse large B cell lymphoma',\n",
" 'Birth length',\n",
" 'Medication adherence in chronic diseases',\n",
" 'Autism spectrum disorder-related traits',\n",
" 'Hip circumference (psychosocial stress interaction)',\n",
" 'Hepatic lipid content in extreme obesity',\n",
" 'High serum lipase activity',\n",
" 'Odorant perception (isobutyraldehyde)',\n",
" 'Homeostasis model assessment of beta-cell function (interaction)',\n",
" 'Homeostasis model assessment of insulin resistance (interaction)',\n",
" 'Fasting insulin (interaction)',\n",
" 'Tooth agenesis (third molar)',\n",
" 'Glycemic traits (pregnancy)',\n",
" 'Homoarginine levels',\n",
" 'Metabolite levels (Pyroglutamine)',\n",
" 'Metabolite levels (X-11787)',\n",
" 'Metabolite levels (Dihydroxy docosatrienoic acid)',\n",
" 'Drug-induced torsades de pointes',\n",
" 'Periodontitis (DPAL)',\n",
" 'Periodontitis (CDC/AAP)',\n",
" 'Periodontitis (PAL4Q3)',\n",
" 'Periodontitis (Mean PAL)',\n",
" 'Odorant perception (&beta;-ionone)',\n",
" 'Behavioural disinhibition (generation interaction)',\n",
" 'Blood pressure measurement (cold pressor test)',\n",
" 'Blood pressure measurement (high sodium and potassium intervention)',\n",
" 'Blood pressure measurement (low sodium intervention)',\n",
" 'Blood pressure measurement (high sodium intervention)',\n",
" 'Schizophrenia, schizoaffective disorder or bipolar disorder',\n",
" 'Amyotrophic lateral sclerosis (sporadic)',\n",
" 'Acute urticaria and angioedema (non-steroidal anti-inflammatory drug-induced)',\n",
" 'Multiple sclerosis or amyotrophic lateral sclerosis',\n",
" 'Coronary artery disease or ischemic stroke',\n",
" 'Coronary artery disease or large artery stroke',\n",
" 'Bronchodilator response in asthma (inhaled corticosteroid treatment interaction)',\n",
" 'Schizophrenia or bipolar disorder',\n",
" 'Adverse response to chemotherapy in breast cancer (alopecia) (cyclophosphamide+epirubicin+/-5FU)',\n",
" 'Adverse response to chemotherapy in breast cancer (alopecia) (cyclophosphamide+doxorubicin+/-5FU)',\n",
" 'Adverse response to chemotherapy in breast cancer (alopecia) (paclitaxel)',\n",
" 'Adverse response to chemotherapy in breast cancer (alopecia) (docetaxel)',\n",
" 'Adverse response to chemotherapy in breast cancer (alopecia) (anti-microtubule)',\n",
" 'Response to alcohol consumption (flushing response)',\n",
" 'Alcohol consumption (maxi-drinks)',\n",
" 'Body mass index (education interaction)',\n",
" 'Liver enzyme levels (aspartate transaminase)',\n",
" 'Lung function (FEV1)',\n",
" 'Lung function (FVC)',\n",
" 'Lung function (FEV1/FVC)',\n",
" 'Lung function (forced expiratory flow between 25% and 75% of forced vital capacity)',\n",
" 'Relative hand skill',\n",
" 'Relative hand skill in reading disability',\n",
" 'Follicule stimulating hormone',\n",
" 'Breast cancer (estrogen-receptor negative, progesterone-receptor negative, and human epidermal growth factor-receptor negative)',\n",
" 'Thrombin generation potential phenotypes',\n",
" 'Contrast sensitivity',\n",
" 'Tooth agenesis (mandibular third molar)',\n",
" 'Anxiety in major depressive disorder',\n",
" 'Cognitive decline (age-related)',\n",
" 'Systolic blood pressure (alcohol consumption interaction)',\n",
" 'Diastolic blood pressure (alcohol consumption interaction)',\n",
" 'Mean arterial pressure (alcohol consumption interaction)',\n",
" 'Pulse pressure (alcohol consumption interaction)',\n",
" 'Serum dimethylarginine levels (asymmetric/symetric ratio)',\n",
" 'Symmetrical dimethylarginine levels',\n",
" 'Asymmetrical dimethylarginine levels',\n",
" 'Memory performance',\n",
" 'Bone properties (heel)',\n",
" 'Bipolar disorder (body mass index interaction)',\n",
" 'Cervical cancer',\n",
" 'Mathematical ability in children with dyslexia',\n",
" ...]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(gwas[\"DISEASE/TRAIT\"].unique())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Όλες οι γραμμές που περιέχουν τον Brest στο Disease / Train"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>LINK</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>...</th>\n",
" <th>CONTEXT</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
" <th>P-VALUE</th>\n",
" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
" <th>95% CI (TEXT)</th>\n",
" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2008-06-16</td>\n",
" <td>18326623</td>\n",
" <td>Gold B</td>\n",
" <td>2008-03-11</td>\n",
" <td>Proc Natl Acad Sci U S A</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18326623</td>\n",
" <td>Genome-wide association study provides evidenc...</td>\n",
" <td>Breast cancer</td>\n",
" <td>249 Ashkenazi Jewish non-BRCA1/2 carriers case...</td>\n",
" <td>1,193 Ashkenazi Jewish non-BRCA1/2 carriers c...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.21</td>\n",
" <td>3e-08</td>\n",
" <td>7.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.410</td>\n",
" <td>[1.25-1.59]</td>\n",
" <td>Affymetrix [150080]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>8e-08</td>\n",
" <td>7.096910</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>127</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>5e-07</td>\n",
" <td>6.301030</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>128</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>7e-07</td>\n",
" <td>6.154902</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>1e-06</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>2e-06</td>\n",
" <td>5.698970</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>238</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529967</td>\n",
" <td>Easton DF</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
" <td>Genome-wide association study identifies novel...</td>\n",
" <td>Breast cancer</td>\n",
" <td>390 cases,364 controls</td>\n",
" <td>26,646 cases,24,889 controls</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.38</td>\n",
" <td>2e-76</td>\n",
" <td>75.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.260</td>\n",
" <td>[1.23-1.30]</td>\n",
" <td>Perlegen [205586]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>239</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529967</td>\n",
" <td>Easton DF</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
" <td>Genome-wide association study identifies novel...</td>\n",
" <td>Breast cancer</td>\n",
" <td>390 cases,364 controls</td>\n",
" <td>26,646 cases,24,889 controls</td>\n",
" <td>...</td>\n",
" <td>non_coding_transcript_exon_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.25</td>\n",
" <td>1e-36</td>\n",
" <td>36.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.200</td>\n",
" <td>[1.16-1.24]</td>\n",
" <td>Perlegen [205586]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>240</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529967</td>\n",
" <td>Easton DF</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
" <td>Genome-wide association study identifies novel...</td>\n",
" <td>Breast cancer</td>\n",
" <td>390 cases,364 controls</td>\n",
" <td>26,646 cases,24,889 controls</td>\n",
" <td>...</td>\n",
" <td>regulatory_region_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.28</td>\n",
" <td>7e-20</td>\n",
" <td>19.154902</td>\n",
" <td>NaN</td>\n",
" <td>1.130</td>\n",
" <td>[1.10-1.16]</td>\n",
" <td>Perlegen [205586]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>241</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529967</td>\n",
" <td>Easton DF</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
" <td>Genome-wide association study identifies novel...</td>\n",
" <td>Breast cancer</td>\n",
" <td>390 cases,364 controls</td>\n",
" <td>26,646 cases,24,889 controls</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.40</td>\n",
" <td>5e-12</td>\n",
" <td>11.301030</td>\n",
" <td>NaN</td>\n",
" <td>1.080</td>\n",
" <td>[1.05-1.11]</td>\n",
" <td>Perlegen [205586]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>242</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529967</td>\n",
" <td>Easton DF</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
" <td>Genome-wide association study identifies novel...</td>\n",
" <td>Breast cancer</td>\n",
" <td>390 cases,364 controls</td>\n",
" <td>26,646 cases,24,889 controls</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.30</td>\n",
" <td>3e-09</td>\n",
" <td>8.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.070</td>\n",
" <td>[1.04-1.11]</td>\n",
" <td>Perlegen [205586]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>243</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529973</td>\n",
" <td>Hunter DJ</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529973</td>\n",
" <td>A genome-wide association study identifies all...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>874 European ancestry cases, 1,478 European an...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.40</td>\n",
" <td>1e-10</td>\n",
" <td>10.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.200</td>\n",
" <td>[1.07-1.42]</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>244</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529974</td>\n",
" <td>Stacey SN</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529974</td>\n",
" <td>Common variants on chromosomes 2q35 and 16q12 ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,599 European ancestry cases, 11,546 European...</td>\n",
" <td>2,954 European ancestry cases, 5,967 European ...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.50</td>\n",
" <td>1e-13</td>\n",
" <td>13.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.200</td>\n",
" <td>[1.14-1.26]</td>\n",
" <td>Illumina [311524]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>245</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529974</td>\n",
" <td>Stacey SN</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529974</td>\n",
" <td>Common variants on chromosomes 2q35 and 16q12 ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,599 European ancestry cases, 11,546 European...</td>\n",
" <td>2,954 European ancestry cases, 5,967 European ...</td>\n",
" <td>...</td>\n",
" <td>non_coding_transcript_exon_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.27</td>\n",
" <td>6e-19</td>\n",
" <td>18.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.280</td>\n",
" <td>[1.21-1.35]</td>\n",
" <td>Illumina [311524]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>421</th>\n",
" <td>2008-06-16</td>\n",
" <td>17529967</td>\n",
" <td>Easton DF</td>\n",
" <td>2007-05-27</td>\n",
" <td>Nature</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
" <td>Genome-wide association study identifies novel...</td>\n",
" <td>Breast cancer</td>\n",
" <td>390 cases,364 controls</td>\n",
" <td>26,646 cases,24,889 controls</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.53</td>\n",
" <td>9e-06</td>\n",
" <td>5.045757</td>\n",
" <td>NaN</td>\n",
" <td>1.040</td>\n",
" <td>[1.01-1.08]</td>\n",
" <td>Perlegen [205586]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>497</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>3e-06</td>\n",
" <td>5.522879</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>498</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>5e-06</td>\n",
" <td>5.301030</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>499</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>6e-06</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>500</th>\n",
" <td>2008-09-10</td>\n",
" <td>17903305</td>\n",
" <td>Murabito JM</td>\n",
" <td>2007-09-19</td>\n",
" <td>BMC Med Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
" <td>A genome-wide association study of breast and ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>58 cases, 665 controls</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>6e-06</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [70897]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>2008-10-14</td>\n",
" <td>18463975</td>\n",
" <td>Kibriya MG</td>\n",
" <td>2008-05-08</td>\n",
" <td>Breast Cancer Res Treat</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/18463975</td>\n",
" <td>A pilot genome-wide association study of early...</td>\n",
" <td>Breast cancer</td>\n",
" <td>26 European ancestry cases, 3 Hispanic cases, ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>downstream_gene_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.34</td>\n",
" <td>4e-07</td>\n",
" <td>6.397940</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [200220]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1266</th>\n",
" <td>2009-02-28</td>\n",
" <td>19219042</td>\n",
" <td>Zheng W</td>\n",
" <td>2009-02-15</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19219042</td>\n",
" <td>Genome-wide association study identifies a new...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,505 Chinese ancestry cases, 1,522 Chinese an...</td>\n",
" <td>5,026 Chinese ancestry cases, 2,476 Chinese an...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.37</td>\n",
" <td>2e-15</td>\n",
" <td>14.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.290</td>\n",
" <td>[1.21-1.37]</td>\n",
" <td>Affymetrix [up to 607728]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1345</th>\n",
" <td>2009-04-03</td>\n",
" <td>19330030</td>\n",
" <td>Thomas G</td>\n",
" <td>2009-03-29</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
" <td>A multistage genome-wide association study in ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.41</td>\n",
" <td>2e-10</td>\n",
" <td>9.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.170</td>\n",
" <td>[1.07-1.27] (Het)</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1346</th>\n",
" <td>2009-04-03</td>\n",
" <td>19330030</td>\n",
" <td>Thomas G</td>\n",
" <td>2009-03-29</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
" <td>A multistage genome-wide association study in ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
" <td>...</td>\n",
" <td>non_coding_transcript_exon_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.27</td>\n",
" <td>1e-09</td>\n",
" <td>9.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.160</td>\n",
" <td>[1.07-1.27] (Het)</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1347</th>\n",
" <td>2009-04-03</td>\n",
" <td>19330030</td>\n",
" <td>Thomas G</td>\n",
" <td>2009-03-29</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
" <td>A multistage genome-wide association study in ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.15</td>\n",
" <td>5e-07</td>\n",
" <td>6.301030</td>\n",
" <td>NaN</td>\n",
" <td>1.230</td>\n",
" <td>[1.12-1.35] (Het)</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1348</th>\n",
" <td>2009-04-03</td>\n",
" <td>19330030</td>\n",
" <td>Thomas G</td>\n",
" <td>2009-03-29</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
" <td>A multistage genome-wide association study in ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.51</td>\n",
" <td>2e-08</td>\n",
" <td>7.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.250</td>\n",
" <td>[1.15-1.37] (Het)</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1349</th>\n",
" <td>2009-04-03</td>\n",
" <td>19330030</td>\n",
" <td>Thomas G</td>\n",
" <td>2009-03-29</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
" <td>A multistage genome-wide association study in ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.39</td>\n",
" <td>7e-10</td>\n",
" <td>9.154902</td>\n",
" <td>NaN</td>\n",
" <td>1.160</td>\n",
" <td>[1.09-1.24] (Het)</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1350</th>\n",
" <td>2009-04-03</td>\n",
" <td>19330030</td>\n",
" <td>Thomas G</td>\n",
" <td>2009-03-29</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
" <td>A multistage genome-wide association study in ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
" <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.76</td>\n",
" <td>2e-07</td>\n",
" <td>6.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.060</td>\n",
" <td>[1.01-1.14] (Het)</td>\n",
" <td>Illumina [528173]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2337</th>\n",
" <td>2011-09-30</td>\n",
" <td>21908515</td>\n",
" <td>Cai Q</td>\n",
" <td>2011-09-09</td>\n",
" <td>Hum Mol Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/21908515</td>\n",
" <td>Genome-wide association study identifies breas...</td>\n",
" <td>Breast cancer</td>\n",
" <td>2,062 East Asian ancestry cases, 2,066 East As...</td>\n",
" <td>15,091 East Asian ancestry cases, 14,877 East ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.45</td>\n",
" <td>6e-06</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.110</td>\n",
" <td>[1.05-1.17]</td>\n",
" <td>Affymetrix [684457]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2338</th>\n",
" <td>2011-09-30</td>\n",
" <td>21908515</td>\n",
" <td>Cai Q</td>\n",
" <td>2011-09-09</td>\n",
" <td>Hum Mol Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/21908515</td>\n",
" <td>Genome-wide association study identifies breas...</td>\n",
" <td>Breast cancer</td>\n",
" <td>2,062 East Asian ancestry cases, 2,066 East As...</td>\n",
" <td>15,091 East Asian ancestry cases, 14,877 East ...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.47</td>\n",
" <td>6e-09</td>\n",
" <td>8.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.120</td>\n",
" <td>[1.06-1.18]</td>\n",
" <td>Affymetrix [684457]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2731</th>\n",
" <td>2011-11-24</td>\n",
" <td>22037553</td>\n",
" <td>Haiman CA</td>\n",
" <td>2011-10-30</td>\n",
" <td>Nat Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/22037553</td>\n",
" <td>A common variant at the TERT-CLPTM1L locus is ...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,004 African American cases, 2,745 African Am...</td>\n",
" <td>2,292 European ancestry cases, 16,901 European...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.26</td>\n",
" <td>1e-10</td>\n",
" <td>10.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.180</td>\n",
" <td>[1.13-1.25]</td>\n",
" <td>Illumina [3154485] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17351</th>\n",
" <td>2014-10-17</td>\n",
" <td>24493630</td>\n",
" <td>Ahsan H</td>\n",
" <td>2014-02-03</td>\n",
" <td>Cancer Epidemiol Biomarkers Prev</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/24493630</td>\n",
" <td>A genome-wide association study of early-onset...</td>\n",
" <td>Breast cancer (early onset)</td>\n",
" <td>3,523 European ancestry young female cases, 2,...</td>\n",
" <td>3,470 European ancestry young female cases, 5,...</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.18</td>\n",
" <td>2e-15</td>\n",
" <td>14.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.290</td>\n",
" <td>[1.21-1.37]</td>\n",
" <td>Illumina [1265548] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17352</th>\n",
" <td>2014-10-17</td>\n",
" <td>24493630</td>\n",
" <td>Ahsan H</td>\n",
" <td>2014-02-03</td>\n",
" <td>Cancer Epidemiol Biomarkers Prev</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/24493630</td>\n",
" <td>A genome-wide association study of early-onset...</td>\n",
" <td>Breast cancer (early onset)</td>\n",
" <td>3,523 European ancestry young female cases, 2,...</td>\n",
" <td>3,470 European ancestry young female cases, 5,...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.29</td>\n",
" <td>6e-21</td>\n",
" <td>20.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.270</td>\n",
" <td>[1.21-1.34]</td>\n",
" <td>Illumina [1265548] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18196</th>\n",
" <td>2013-03-26</td>\n",
" <td>23319801</td>\n",
" <td>Rafiq S</td>\n",
" <td>2013-01-14</td>\n",
" <td>Cancer Res</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23319801</td>\n",
" <td>Identification of inherited genetic variations...</td>\n",
" <td>Breast cancer (prognosis)</td>\n",
" <td>536 European ancestry early-onset cases</td>\n",
" <td>1,516 European ancestry early-onset cases</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.05</td>\n",
" <td>1e-06</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.610</td>\n",
" <td>[1.33-1.96]</td>\n",
" <td>Illumina [487496]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18197</th>\n",
" <td>2013-03-26</td>\n",
" <td>23319801</td>\n",
" <td>Rafiq S</td>\n",
" <td>2013-01-14</td>\n",
" <td>Cancer Res</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23319801</td>\n",
" <td>Identification of inherited genetic variations...</td>\n",
" <td>Breast cancer (prognosis)</td>\n",
" <td>536 European ancestry early-onset cases</td>\n",
" <td>1,516 European ancestry early-onset cases</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.07</td>\n",
" <td>4e-06</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>1.460</td>\n",
" <td>[1.24-1.72]</td>\n",
" <td>Illumina [487496]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18198</th>\n",
" <td>2013-03-26</td>\n",
" <td>23319801</td>\n",
" <td>Rafiq S</td>\n",
" <td>2013-01-14</td>\n",
" <td>Cancer Res</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23319801</td>\n",
" <td>Identification of inherited genetic variations...</td>\n",
" <td>Breast cancer (prognosis)</td>\n",
" <td>536 European ancestry early-onset cases</td>\n",
" <td>1,516 European ancestry early-onset cases</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.12</td>\n",
" <td>8e-06</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>1.400</td>\n",
" <td>[1.21-1.62]</td>\n",
" <td>Illumina [487496]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18199</th>\n",
" <td>2013-03-26</td>\n",
" <td>23319801</td>\n",
" <td>Rafiq S</td>\n",
" <td>2013-01-14</td>\n",
" <td>Cancer Res</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23319801</td>\n",
" <td>Identification of inherited genetic variations...</td>\n",
" <td>Breast cancer (prognosis)</td>\n",
" <td>536 European ancestry early-onset cases</td>\n",
" <td>1,516 European ancestry early-onset cases</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.26</td>\n",
" <td>8e-06</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>1.300</td>\n",
" <td>[1.16-1.47]</td>\n",
" <td>Illumina [487496]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18200</th>\n",
" <td>2013-03-26</td>\n",
" <td>23319801</td>\n",
" <td>Rafiq S</td>\n",
" <td>2013-01-14</td>\n",
" <td>Cancer Res</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23319801</td>\n",
" <td>Identification of inherited genetic variations...</td>\n",
" <td>Breast cancer (prognosis)</td>\n",
" <td>536 European ancestry early-onset cases</td>\n",
" <td>1,516 European ancestry early-onset cases</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.36</td>\n",
" <td>4e-06</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>1.280</td>\n",
" <td>[1.16-1.43]</td>\n",
" <td>Illumina [487496]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18249</th>\n",
" <td>2013-04-24</td>\n",
" <td>23354978</td>\n",
" <td>Rinella ES</td>\n",
" <td>2013-01-25</td>\n",
" <td>Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23354978</td>\n",
" <td>Genetic variants associated with breast cancer...</td>\n",
" <td>Breast cancer</td>\n",
" <td>477 Ashkenazi Jewish cases, 524 Ashkenazi Jewi...</td>\n",
" <td>203 Ashkenazi Jewish cases, 263 Ashkenazi Jewi...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.81</td>\n",
" <td>2e-06</td>\n",
" <td>5.698970</td>\n",
" <td>(Meta P value)</td>\n",
" <td>1.430</td>\n",
" <td>[NR]</td>\n",
" <td>Affymetrix [435632]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18250</th>\n",
" <td>2013-04-24</td>\n",
" <td>23354978</td>\n",
" <td>Rinella ES</td>\n",
" <td>2013-01-25</td>\n",
" <td>Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/23354978</td>\n",
" <td>Genetic variants associated with breast cancer...</td>\n",
" <td>Breast cancer</td>\n",
" <td>477 Ashkenazi Jewish cases, 524 Ashkenazi Jewi...</td>\n",
" <td>203 Ashkenazi Jewish cases, 263 Ashkenazi Jewi...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.93</td>\n",
" <td>7e-07</td>\n",
" <td>6.154902</td>\n",
" <td>(Meta P value)</td>\n",
" <td>2.000</td>\n",
" <td>[NR]</td>\n",
" <td>Affymetrix [435632]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19238</th>\n",
" <td>2015-05-16</td>\n",
" <td>25327703</td>\n",
" <td>Fejerman L</td>\n",
" <td>2014-10-20</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25327703</td>\n",
" <td>Genome-wide association study of breast cancer...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,497 Latino cases, 3,213 Latino controls</td>\n",
" <td>1,643 Latino cases, 4,971 Latino controls</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.93</td>\n",
" <td>9e-18</td>\n",
" <td>17.045757</td>\n",
" <td>NaN</td>\n",
" <td>1.670</td>\n",
" <td>[1.49-1.89]</td>\n",
" <td>Affymetrix, Illumina [7229558] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19831</th>\n",
" <td>2015-05-16</td>\n",
" <td>25327703</td>\n",
" <td>Fejerman L</td>\n",
" <td>2014-10-20</td>\n",
" <td>Nat Commun</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25327703</td>\n",
" <td>Genome-wide association study of breast cancer...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,497 Latino cases, 3,213 Latino controls</td>\n",
" <td>1,643 Latino cases, 4,971 Latino controls</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.31</td>\n",
" <td>3e-09</td>\n",
" <td>8.522879</td>\n",
" <td>NaN</td>\n",
" <td>1.380</td>\n",
" <td>[1.24-1.54]</td>\n",
" <td>Affymetrix, Illumina [7229558] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19981</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>1e-07</td>\n",
" <td>7.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.259</td>\n",
" <td>[0.16-0.36] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19982</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>1e-06</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.204</td>\n",
" <td>[0.12-0.29] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19983</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>1e-06</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.401</td>\n",
" <td>[0.24-0.56] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19984</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>2e-06</td>\n",
" <td>5.698970</td>\n",
" <td>NaN</td>\n",
" <td>0.778</td>\n",
" <td>[0.46-1.1] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19985</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>4e-06</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>1.185</td>\n",
" <td>[0.68-1.69] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19986</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>6e-06</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>0.176</td>\n",
" <td>[0.100-0.252] unit increase</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19987</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>8e-06</td>\n",
" <td>5.096910</td>\n",
" <td>NaN</td>\n",
" <td>0.179</td>\n",
" <td>[0.10-0.26] unit increase</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19988</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>synonymous_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>9e-06</td>\n",
" <td>5.045757</td>\n",
" <td>NaN</td>\n",
" <td>0.298</td>\n",
" <td>[0.17-0.43] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19989</th>\n",
" <td>2015-09-22</td>\n",
" <td>25475840</td>\n",
" <td>Colodro-Conde L</td>\n",
" <td>2014-12-05</td>\n",
" <td>Twin Res Hum Genet</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25475840</td>\n",
" <td>A Twin Study of Breastfeeding With a Prelimina...</td>\n",
" <td>Breastfeeding duration</td>\n",
" <td>1,521 mothers from 1,073 families</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>9e-06</td>\n",
" <td>5.045757</td>\n",
" <td>NaN</td>\n",
" <td>0.238</td>\n",
" <td>[0.13-0.34] unit decrease</td>\n",
" <td>Illumina [6590000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24056</th>\n",
" <td>2016-02-12</td>\n",
" <td>25956309</td>\n",
" <td>Palomba G</td>\n",
" <td>2015-05-10</td>\n",
" <td>BMC Cancer</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25956309</td>\n",
" <td>Genome-wide association study of susceptibilit...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,367 Sardinian cases, 1,658 Sardinian controls</td>\n",
" <td>201 Sardinian cases, 1,467 Sardinian controls,...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.506</td>\n",
" <td>4e-06</td>\n",
" <td>5.397940</td>\n",
" <td>NaN</td>\n",
" <td>1.302</td>\n",
" <td>(1.164-1.456)</td>\n",
" <td>Affymetrix [2067645] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24057</th>\n",
" <td>2016-02-12</td>\n",
" <td>25956309</td>\n",
" <td>Palomba G</td>\n",
" <td>2015-05-10</td>\n",
" <td>BMC Cancer</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25956309</td>\n",
" <td>Genome-wide association study of susceptibilit...</td>\n",
" <td>Breast cancer</td>\n",
" <td>1,367 Sardinian cases, 1,658 Sardinian controls</td>\n",
" <td>201 Sardinian cases, 1,467 Sardinian controls,...</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.478</td>\n",
" <td>2e-07</td>\n",
" <td>6.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.337</td>\n",
" <td>(1.198-1.491)</td>\n",
" <td>Affymetrix [2067645] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25255</th>\n",
" <td>2015-09-22</td>\n",
" <td>25526632</td>\n",
" <td>Rafiq S</td>\n",
" <td>2014-12-19</td>\n",
" <td>PLoS One</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25526632</td>\n",
" <td>A genome wide meta-analysis study for identifi...</td>\n",
" <td>Breast cancer (survival)</td>\n",
" <td>1,341 European ancestry cases</td>\n",
" <td>1,523 European ancestry cases</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>1e-06</td>\n",
" <td>6.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.490</td>\n",
" <td>[1.27-1.75]</td>\n",
" <td>Illumina [6500000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25718</th>\n",
" <td>2015-12-07</td>\n",
" <td>25890600</td>\n",
" <td>Guo Q</td>\n",
" <td>2015-04-18</td>\n",
" <td>J Natl Cancer Inst</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25890600</td>\n",
" <td>Identification of novel genetic markers of bre...</td>\n",
" <td>Breast cancer (survival)</td>\n",
" <td>23,059 European ancestry estrogen-receptor pos...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.01</td>\n",
" <td>2e-08</td>\n",
" <td>7.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.880</td>\n",
" <td>[1.51-2.34]</td>\n",
" <td>Affymetrix, Illumina [9000000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25726</th>\n",
" <td>2015-12-07</td>\n",
" <td>25890600</td>\n",
" <td>Guo Q</td>\n",
" <td>2015-04-18</td>\n",
" <td>J Natl Cancer Inst</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25890600</td>\n",
" <td>Identification of novel genetic markers of bre...</td>\n",
" <td>Breast cancer (survival)</td>\n",
" <td>23,059 European ancestry estrogen-receptor pos...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.06</td>\n",
" <td>1e-09</td>\n",
" <td>9.000000</td>\n",
" <td>(ER -ve)</td>\n",
" <td>1.900</td>\n",
" <td>[1.54-2.33]</td>\n",
" <td>Affymetrix, Illumina [9000000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25727</th>\n",
" <td>2015-12-07</td>\n",
" <td>25890600</td>\n",
" <td>Guo Q</td>\n",
" <td>2015-04-18</td>\n",
" <td>J Natl Cancer Inst</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25890600</td>\n",
" <td>Identification of novel genetic markers of bre...</td>\n",
" <td>Breast cancer (survival)</td>\n",
" <td>23,059 European ancestry estrogen-receptor pos...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>7e-07</td>\n",
" <td>6.154902</td>\n",
" <td>(ER +ve)</td>\n",
" <td>1.220</td>\n",
" <td>[1.13-1.33]</td>\n",
" <td>Affymetrix, Illumina [9000000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28061</th>\n",
" <td>2015-09-22</td>\n",
" <td>25526632</td>\n",
" <td>Rafiq S</td>\n",
" <td>2014-12-19</td>\n",
" <td>PLoS One</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25526632</td>\n",
" <td>A genome wide meta-analysis study for identifi...</td>\n",
" <td>Breast cancer (survival)</td>\n",
" <td>1,341 European ancestry cases</td>\n",
" <td>1,523 European ancestry cases</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>2e-06</td>\n",
" <td>5.698970</td>\n",
" <td>NaN</td>\n",
" <td>1.330</td>\n",
" <td>[1.19-1.49]</td>\n",
" <td>Illumina [6500000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28062</th>\n",
" <td>2015-09-22</td>\n",
" <td>25526632</td>\n",
" <td>Rafiq S</td>\n",
" <td>2014-12-19</td>\n",
" <td>PLoS One</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25526632</td>\n",
" <td>A genome wide meta-analysis study for identifi...</td>\n",
" <td>Breast cancer (survival)</td>\n",
" <td>1,341 European ancestry cases</td>\n",
" <td>1,523 European ancestry cases</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>6e-06</td>\n",
" <td>5.221849</td>\n",
" <td>NaN</td>\n",
" <td>1.250</td>\n",
" <td>[1.13-1.39]</td>\n",
" <td>Illumina [6500000] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28705</th>\n",
" <td>2015-10-26</td>\n",
" <td>25824743</td>\n",
" <td>Haryono SJ</td>\n",
" <td>2015-01-01</td>\n",
" <td>Asian Pac J Cancer Prev</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25824743</td>\n",
" <td>A Pilot Genome-wide Association Study of Breas...</td>\n",
" <td>Breast cancer</td>\n",
" <td>89 Indonesian ancestry cases, 46 Indonesian an...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.22</td>\n",
" <td>7e-06</td>\n",
" <td>5.154902</td>\n",
" <td>NaN</td>\n",
" <td>1.320</td>\n",
" <td>[1.17-1.44]</td>\n",
" <td>Affymetrix [292887]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28706</th>\n",
" <td>2015-10-26</td>\n",
" <td>25824743</td>\n",
" <td>Haryono SJ</td>\n",
" <td>2015-01-01</td>\n",
" <td>Asian Pac J Cancer Prev</td>\n",
" <td>www.ncbi.nlm.nih.gov/pubmed/25824743</td>\n",
" <td>A Pilot Genome-wide Association Study of Breas...</td>\n",
" <td>Breast cancer</td>\n",
" <td>89 Indonesian ancestry cases, 46 Indonesian an...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>0.52</td>\n",
" <td>1e-07</td>\n",
" <td>7.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.200</td>\n",
" <td>[1.13-1.33]</td>\n",
" <td>Affymetrix [292887]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>277 rows × 34 columns</p>\n",
"</div>"
],
"text/plain": [
" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE \\\n",
"17 2008-06-16 18326623 Gold B 2008-03-11 \n",
"126 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"127 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"128 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"129 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"130 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"238 2008-06-16 17529967 Easton DF 2007-05-27 \n",
"239 2008-06-16 17529967 Easton DF 2007-05-27 \n",
"240 2008-06-16 17529967 Easton DF 2007-05-27 \n",
"241 2008-06-16 17529967 Easton DF 2007-05-27 \n",
"242 2008-06-16 17529967 Easton DF 2007-05-27 \n",
"243 2008-06-16 17529973 Hunter DJ 2007-05-27 \n",
"244 2008-06-16 17529974 Stacey SN 2007-05-27 \n",
"245 2008-06-16 17529974 Stacey SN 2007-05-27 \n",
"421 2008-06-16 17529967 Easton DF 2007-05-27 \n",
"497 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"498 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"499 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"500 2008-09-10 17903305 Murabito JM 2007-09-19 \n",
"797 2008-10-14 18463975 Kibriya MG 2008-05-08 \n",
"1266 2009-02-28 19219042 Zheng W 2009-02-15 \n",
"1345 2009-04-03 19330030 Thomas G 2009-03-29 \n",
"1346 2009-04-03 19330030 Thomas G 2009-03-29 \n",
"1347 2009-04-03 19330030 Thomas G 2009-03-29 \n",
"1348 2009-04-03 19330030 Thomas G 2009-03-29 \n",
"1349 2009-04-03 19330030 Thomas G 2009-03-29 \n",
"1350 2009-04-03 19330030 Thomas G 2009-03-29 \n",
"2337 2011-09-30 21908515 Cai Q 2011-09-09 \n",
"2338 2011-09-30 21908515 Cai Q 2011-09-09 \n",
"2731 2011-11-24 22037553 Haiman CA 2011-10-30 \n",
"... ... ... ... ... \n",
"17351 2014-10-17 24493630 Ahsan H 2014-02-03 \n",
"17352 2014-10-17 24493630 Ahsan H 2014-02-03 \n",
"18196 2013-03-26 23319801 Rafiq S 2013-01-14 \n",
"18197 2013-03-26 23319801 Rafiq S 2013-01-14 \n",
"18198 2013-03-26 23319801 Rafiq S 2013-01-14 \n",
"18199 2013-03-26 23319801 Rafiq S 2013-01-14 \n",
"18200 2013-03-26 23319801 Rafiq S 2013-01-14 \n",
"18249 2013-04-24 23354978 Rinella ES 2013-01-25 \n",
"18250 2013-04-24 23354978 Rinella ES 2013-01-25 \n",
"19238 2015-05-16 25327703 Fejerman L 2014-10-20 \n",
"19831 2015-05-16 25327703 Fejerman L 2014-10-20 \n",
"19981 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19982 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19983 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19984 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19985 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19986 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19987 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19988 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"19989 2015-09-22 25475840 Colodro-Conde L 2014-12-05 \n",
"24056 2016-02-12 25956309 Palomba G 2015-05-10 \n",
"24057 2016-02-12 25956309 Palomba G 2015-05-10 \n",
"25255 2015-09-22 25526632 Rafiq S 2014-12-19 \n",
"25718 2015-12-07 25890600 Guo Q 2015-04-18 \n",
"25726 2015-12-07 25890600 Guo Q 2015-04-18 \n",
"25727 2015-12-07 25890600 Guo Q 2015-04-18 \n",
"28061 2015-09-22 25526632 Rafiq S 2014-12-19 \n",
"28062 2015-09-22 25526632 Rafiq S 2014-12-19 \n",
"28705 2015-10-26 25824743 Haryono SJ 2015-01-01 \n",
"28706 2015-10-26 25824743 Haryono SJ 2015-01-01 \n",
"\n",
" JOURNAL LINK \\\n",
"17 Proc Natl Acad Sci U S A www.ncbi.nlm.nih.gov/pubmed/18326623 \n",
"126 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"127 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"128 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"129 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"130 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"238 Nature www.ncbi.nlm.nih.gov/pubmed/17529967 \n",
"239 Nature www.ncbi.nlm.nih.gov/pubmed/17529967 \n",
"240 Nature www.ncbi.nlm.nih.gov/pubmed/17529967 \n",
"241 Nature www.ncbi.nlm.nih.gov/pubmed/17529967 \n",
"242 Nature www.ncbi.nlm.nih.gov/pubmed/17529967 \n",
"243 Nat Genet www.ncbi.nlm.nih.gov/pubmed/17529973 \n",
"244 Nat Genet www.ncbi.nlm.nih.gov/pubmed/17529974 \n",
"245 Nat Genet www.ncbi.nlm.nih.gov/pubmed/17529974 \n",
"421 Nature www.ncbi.nlm.nih.gov/pubmed/17529967 \n",
"497 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"498 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"499 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"500 BMC Med Genet www.ncbi.nlm.nih.gov/pubmed/17903305 \n",
"797 Breast Cancer Res Treat www.ncbi.nlm.nih.gov/pubmed/18463975 \n",
"1266 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19219042 \n",
"1345 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19330030 \n",
"1346 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19330030 \n",
"1347 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19330030 \n",
"1348 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19330030 \n",
"1349 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19330030 \n",
"1350 Nat Genet www.ncbi.nlm.nih.gov/pubmed/19330030 \n",
"2337 Hum Mol Genet www.ncbi.nlm.nih.gov/pubmed/21908515 \n",
"2338 Hum Mol Genet www.ncbi.nlm.nih.gov/pubmed/21908515 \n",
"2731 Nat Genet www.ncbi.nlm.nih.gov/pubmed/22037553 \n",
"... ... ... \n",
"17351 Cancer Epidemiol Biomarkers Prev www.ncbi.nlm.nih.gov/pubmed/24493630 \n",
"17352 Cancer Epidemiol Biomarkers Prev www.ncbi.nlm.nih.gov/pubmed/24493630 \n",
"18196 Cancer Res www.ncbi.nlm.nih.gov/pubmed/23319801 \n",
"18197 Cancer Res www.ncbi.nlm.nih.gov/pubmed/23319801 \n",
"18198 Cancer Res www.ncbi.nlm.nih.gov/pubmed/23319801 \n",
"18199 Cancer Res www.ncbi.nlm.nih.gov/pubmed/23319801 \n",
"18200 Cancer Res www.ncbi.nlm.nih.gov/pubmed/23319801 \n",
"18249 Hum Genet www.ncbi.nlm.nih.gov/pubmed/23354978 \n",
"18250 Hum Genet www.ncbi.nlm.nih.gov/pubmed/23354978 \n",
"19238 Nat Commun www.ncbi.nlm.nih.gov/pubmed/25327703 \n",
"19831 Nat Commun www.ncbi.nlm.nih.gov/pubmed/25327703 \n",
"19981 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19982 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19983 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19984 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19985 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19986 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19987 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19988 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"19989 Twin Res Hum Genet www.ncbi.nlm.nih.gov/pubmed/25475840 \n",
"24056 BMC Cancer www.ncbi.nlm.nih.gov/pubmed/25956309 \n",
"24057 BMC Cancer www.ncbi.nlm.nih.gov/pubmed/25956309 \n",
"25255 PLoS One www.ncbi.nlm.nih.gov/pubmed/25526632 \n",
"25718 J Natl Cancer Inst www.ncbi.nlm.nih.gov/pubmed/25890600 \n",
"25726 J Natl Cancer Inst www.ncbi.nlm.nih.gov/pubmed/25890600 \n",
"25727 J Natl Cancer Inst www.ncbi.nlm.nih.gov/pubmed/25890600 \n",
"28061 PLoS One www.ncbi.nlm.nih.gov/pubmed/25526632 \n",
"28062 PLoS One www.ncbi.nlm.nih.gov/pubmed/25526632 \n",
"28705 Asian Pac J Cancer Prev www.ncbi.nlm.nih.gov/pubmed/25824743 \n",
"28706 Asian Pac J Cancer Prev www.ncbi.nlm.nih.gov/pubmed/25824743 \n",
"\n",
" STUDY \\\n",
"17 Genome-wide association study provides evidenc... \n",
"126 A genome-wide association study of breast and ... \n",
"127 A genome-wide association study of breast and ... \n",
"128 A genome-wide association study of breast and ... \n",
"129 A genome-wide association study of breast and ... \n",
"130 A genome-wide association study of breast and ... \n",
"238 Genome-wide association study identifies novel... \n",
"239 Genome-wide association study identifies novel... \n",
"240 Genome-wide association study identifies novel... \n",
"241 Genome-wide association study identifies novel... \n",
"242 Genome-wide association study identifies novel... \n",
"243 A genome-wide association study identifies all... \n",
"244 Common variants on chromosomes 2q35 and 16q12 ... \n",
"245 Common variants on chromosomes 2q35 and 16q12 ... \n",
"421 Genome-wide association study identifies novel... \n",
"497 A genome-wide association study of breast and ... \n",
"498 A genome-wide association study of breast and ... \n",
"499 A genome-wide association study of breast and ... \n",
"500 A genome-wide association study of breast and ... \n",
"797 A pilot genome-wide association study of early... \n",
"1266 Genome-wide association study identifies a new... \n",
"1345 A multistage genome-wide association study in ... \n",
"1346 A multistage genome-wide association study in ... \n",
"1347 A multistage genome-wide association study in ... \n",
"1348 A multistage genome-wide association study in ... \n",
"1349 A multistage genome-wide association study in ... \n",
"1350 A multistage genome-wide association study in ... \n",
"2337 Genome-wide association study identifies breas... \n",
"2338 Genome-wide association study identifies breas... \n",
"2731 A common variant at the TERT-CLPTM1L locus is ... \n",
"... ... \n",
"17351 A genome-wide association study of early-onset... \n",
"17352 A genome-wide association study of early-onset... \n",
"18196 Identification of inherited genetic variations... \n",
"18197 Identification of inherited genetic variations... \n",
"18198 Identification of inherited genetic variations... \n",
"18199 Identification of inherited genetic variations... \n",
"18200 Identification of inherited genetic variations... \n",
"18249 Genetic variants associated with breast cancer... \n",
"18250 Genetic variants associated with breast cancer... \n",
"19238 Genome-wide association study of breast cancer... \n",
"19831 Genome-wide association study of breast cancer... \n",
"19981 A Twin Study of Breastfeeding With a Prelimina... \n",
"19982 A Twin Study of Breastfeeding With a Prelimina... \n",
"19983 A Twin Study of Breastfeeding With a Prelimina... \n",
"19984 A Twin Study of Breastfeeding With a Prelimina... \n",
"19985 A Twin Study of Breastfeeding With a Prelimina... \n",
"19986 A Twin Study of Breastfeeding With a Prelimina... \n",
"19987 A Twin Study of Breastfeeding With a Prelimina... \n",
"19988 A Twin Study of Breastfeeding With a Prelimina... \n",
"19989 A Twin Study of Breastfeeding With a Prelimina... \n",
"24056 Genome-wide association study of susceptibilit... \n",
"24057 Genome-wide association study of susceptibilit... \n",
"25255 A genome wide meta-analysis study for identifi... \n",
"25718 Identification of novel genetic markers of bre... \n",
"25726 Identification of novel genetic markers of bre... \n",
"25727 Identification of novel genetic markers of bre... \n",
"28061 A genome wide meta-analysis study for identifi... \n",
"28062 A genome wide meta-analysis study for identifi... \n",
"28705 A Pilot Genome-wide Association Study of Breas... \n",
"28706 A Pilot Genome-wide Association Study of Breas... \n",
"\n",
" DISEASE/TRAIT \\\n",
"17 Breast cancer \n",
"126 Breast cancer \n",
"127 Breast cancer \n",
"128 Breast cancer \n",
"129 Breast cancer \n",
"130 Breast cancer \n",
"238 Breast cancer \n",
"239 Breast cancer \n",
"240 Breast cancer \n",
"241 Breast cancer \n",
"242 Breast cancer \n",
"243 Breast cancer \n",
"244 Breast cancer \n",
"245 Breast cancer \n",
"421 Breast cancer \n",
"497 Breast cancer \n",
"498 Breast cancer \n",
"499 Breast cancer \n",
"500 Breast cancer \n",
"797 Breast cancer \n",
"1266 Breast cancer \n",
"1345 Breast cancer \n",
"1346 Breast cancer \n",
"1347 Breast cancer \n",
"1348 Breast cancer \n",
"1349 Breast cancer \n",
"1350 Breast cancer \n",
"2337 Breast cancer \n",
"2338 Breast cancer \n",
"2731 Breast cancer \n",
"... ... \n",
"17351 Breast cancer (early onset) \n",
"17352 Breast cancer (early onset) \n",
"18196 Breast cancer (prognosis) \n",
"18197 Breast cancer (prognosis) \n",
"18198 Breast cancer (prognosis) \n",
"18199 Breast cancer (prognosis) \n",
"18200 Breast cancer (prognosis) \n",
"18249 Breast cancer \n",
"18250 Breast cancer \n",
"19238 Breast cancer \n",
"19831 Breast cancer \n",
"19981 Breastfeeding duration \n",
"19982 Breastfeeding duration \n",
"19983 Breastfeeding duration \n",
"19984 Breastfeeding duration \n",
"19985 Breastfeeding duration \n",
"19986 Breastfeeding duration \n",
"19987 Breastfeeding duration \n",
"19988 Breastfeeding duration \n",
"19989 Breastfeeding duration \n",
"24056 Breast cancer \n",
"24057 Breast cancer \n",
"25255 Breast cancer (survival) \n",
"25718 Breast cancer (survival) \n",
"25726 Breast cancer (survival) \n",
"25727 Breast cancer (survival) \n",
"28061 Breast cancer (survival) \n",
"28062 Breast cancer (survival) \n",
"28705 Breast cancer \n",
"28706 Breast cancer \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"17 249 Ashkenazi Jewish non-BRCA1/2 carriers case... \n",
"126 58 cases, 665 controls \n",
"127 58 cases, 665 controls \n",
"128 58 cases, 665 controls \n",
"129 58 cases, 665 controls \n",
"130 58 cases, 665 controls \n",
"238 390 cases,364 controls \n",
"239 390 cases,364 controls \n",
"240 390 cases,364 controls \n",
"241 390 cases,364 controls \n",
"242 390 cases,364 controls \n",
"243 1,145 European ancestry cases, 1,142 European ... \n",
"244 1,599 European ancestry cases, 11,546 European... \n",
"245 1,599 European ancestry cases, 11,546 European... \n",
"421 390 cases,364 controls \n",
"497 58 cases, 665 controls \n",
"498 58 cases, 665 controls \n",
"499 58 cases, 665 controls \n",
"500 58 cases, 665 controls \n",
"797 26 European ancestry cases, 3 Hispanic cases, ... \n",
"1266 1,505 Chinese ancestry cases, 1,522 Chinese an... \n",
"1345 1,145 European ancestry cases, 1,142 European ... \n",
"1346 1,145 European ancestry cases, 1,142 European ... \n",
"1347 1,145 European ancestry cases, 1,142 European ... \n",
"1348 1,145 European ancestry cases, 1,142 European ... \n",
"1349 1,145 European ancestry cases, 1,142 European ... \n",
"1350 1,145 European ancestry cases, 1,142 European ... \n",
"2337 2,062 East Asian ancestry cases, 2,066 East As... \n",
"2338 2,062 East Asian ancestry cases, 2,066 East As... \n",
"2731 1,004 African American cases, 2,745 African Am... \n",
"... ... \n",
"17351 3,523 European ancestry young female cases, 2,... \n",
"17352 3,523 European ancestry young female cases, 2,... \n",
"18196 536 European ancestry early-onset cases \n",
"18197 536 European ancestry early-onset cases \n",
"18198 536 European ancestry early-onset cases \n",
"18199 536 European ancestry early-onset cases \n",
"18200 536 European ancestry early-onset cases \n",
"18249 477 Ashkenazi Jewish cases, 524 Ashkenazi Jewi... \n",
"18250 477 Ashkenazi Jewish cases, 524 Ashkenazi Jewi... \n",
"19238 1,497 Latino cases, 3,213 Latino controls \n",
"19831 1,497 Latino cases, 3,213 Latino controls \n",
"19981 1,521 mothers from 1,073 families \n",
"19982 1,521 mothers from 1,073 families \n",
"19983 1,521 mothers from 1,073 families \n",
"19984 1,521 mothers from 1,073 families \n",
"19985 1,521 mothers from 1,073 families \n",
"19986 1,521 mothers from 1,073 families \n",
"19987 1,521 mothers from 1,073 families \n",
"19988 1,521 mothers from 1,073 families \n",
"19989 1,521 mothers from 1,073 families \n",
"24056 1,367 Sardinian cases, 1,658 Sardinian controls \n",
"24057 1,367 Sardinian cases, 1,658 Sardinian controls \n",
"25255 1,341 European ancestry cases \n",
"25718 23,059 European ancestry estrogen-receptor pos... \n",
"25726 23,059 European ancestry estrogen-receptor pos... \n",
"25727 23,059 European ancestry estrogen-receptor pos... \n",
"28061 1,341 European ancestry cases \n",
"28062 1,341 European ancestry cases \n",
"28705 89 Indonesian ancestry cases, 46 Indonesian an... \n",
"28706 89 Indonesian ancestry cases, 46 Indonesian an... \n",
"\n",
" REPLICATION SAMPLE SIZE ... \\\n",
"17 1,193 Ashkenazi Jewish non-BRCA1/2 carriers c... ... \n",
"126 NaN ... \n",
"127 NaN ... \n",
"128 NaN ... \n",
"129 NaN ... \n",
"130 NaN ... \n",
"238 26,646 cases,24,889 controls ... \n",
"239 26,646 cases,24,889 controls ... \n",
"240 26,646 cases,24,889 controls ... \n",
"241 26,646 cases,24,889 controls ... \n",
"242 26,646 cases,24,889 controls ... \n",
"243 874 European ancestry cases, 1,478 European an... ... \n",
"244 2,954 European ancestry cases, 5,967 European ... ... \n",
"245 2,954 European ancestry cases, 5,967 European ... ... \n",
"421 26,646 cases,24,889 controls ... \n",
"497 NaN ... \n",
"498 NaN ... \n",
"499 NaN ... \n",
"500 NaN ... \n",
"797 NaN ... \n",
"1266 5,026 Chinese ancestry cases, 2,476 Chinese an... ... \n",
"1345 8,625 European ancestry cases, 9,657 European ... ... \n",
"1346 8,625 European ancestry cases, 9,657 European ... ... \n",
"1347 8,625 European ancestry cases, 9,657 European ... ... \n",
"1348 8,625 European ancestry cases, 9,657 European ... ... \n",
"1349 8,625 European ancestry cases, 9,657 European ... ... \n",
"1350 8,625 European ancestry cases, 9,657 European ... ... \n",
"2337 15,091 East Asian ancestry cases, 14,877 East ... ... \n",
"2338 15,091 East Asian ancestry cases, 14,877 East ... ... \n",
"2731 2,292 European ancestry cases, 16,901 European... ... \n",
"... ... ... \n",
"17351 3,470 European ancestry young female cases, 5,... ... \n",
"17352 3,470 European ancestry young female cases, 5,... ... \n",
"18196 1,516 European ancestry early-onset cases ... \n",
"18197 1,516 European ancestry early-onset cases ... \n",
"18198 1,516 European ancestry early-onset cases ... \n",
"18199 1,516 European ancestry early-onset cases ... \n",
"18200 1,516 European ancestry early-onset cases ... \n",
"18249 203 Ashkenazi Jewish cases, 263 Ashkenazi Jewi... ... \n",
"18250 203 Ashkenazi Jewish cases, 263 Ashkenazi Jewi... ... \n",
"19238 1,643 Latino cases, 4,971 Latino controls ... \n",
"19831 1,643 Latino cases, 4,971 Latino controls ... \n",
"19981 NaN ... \n",
"19982 NaN ... \n",
"19983 NaN ... \n",
"19984 NaN ... \n",
"19985 NaN ... \n",
"19986 NaN ... \n",
"19987 NaN ... \n",
"19988 NaN ... \n",
"19989 NaN ... \n",
"24056 201 Sardinian cases, 1,467 Sardinian controls,... ... \n",
"24057 201 Sardinian cases, 1,467 Sardinian controls,... ... \n",
"25255 1,523 European ancestry cases ... \n",
"25718 NaN ... \n",
"25726 NaN ... \n",
"25727 NaN ... \n",
"28061 1,523 European ancestry cases ... \n",
"28062 1,523 European ancestry cases ... \n",
"28705 NaN ... \n",
"28706 NaN ... \n",
"\n",
" CONTEXT INTERGENIC RISK ALLELE FREQUENCY \\\n",
"17 intron_variant 0.0 0.21 \n",
"126 intron_variant 0.0 NR \n",
"127 intron_variant 0.0 NR \n",
"128 intergenic_variant 1.0 NR \n",
"129 intron_variant 1.0 NR \n",
"130 intron_variant 0.0 NR \n",
"238 intron_variant 0.0 0.38 \n",
"239 non_coding_transcript_exon_variant 0.0 0.25 \n",
"240 regulatory_region_variant 1.0 0.28 \n",
"241 intron_variant 0.0 0.40 \n",
"242 intron_variant 0.0 0.30 \n",
"243 intron_variant 0.0 0.40 \n",
"244 intergenic_variant 0.0 0.50 \n",
"245 non_coding_transcript_exon_variant 0.0 0.27 \n",
"421 intron_variant 0.0 0.53 \n",
"497 intergenic_variant 1.0 NR \n",
"498 intron_variant 0.0 NR \n",
"499 intron_variant 0.0 NR \n",
"500 intron_variant 0.0 NR \n",
"797 downstream_gene_variant 1.0 0.34 \n",
"1266 intergenic_variant 1.0 0.37 \n",
"1345 intron_variant 0.0 0.41 \n",
"1346 non_coding_transcript_exon_variant 0.0 0.27 \n",
"1347 intergenic_variant 1.0 0.15 \n",
"1348 intergenic_variant 0.0 0.51 \n",
"1349 intron_variant 0.0 0.39 \n",
"1350 intron_variant 0.0 0.76 \n",
"2337 intron_variant 0.0 0.45 \n",
"2338 intron_variant 0.0 0.47 \n",
"2731 intron_variant 0.0 0.26 \n",
"... ... ... ... \n",
"17351 intergenic_variant 0.0 0.18 \n",
"17352 intron_variant 0.0 0.29 \n",
"18196 intergenic_variant 1.0 0.05 \n",
"18197 intron_variant 0.0 0.07 \n",
"18198 intron_variant 0.0 0.12 \n",
"18199 intron_variant 0.0 0.26 \n",
"18200 intron_variant 0.0 0.36 \n",
"18249 intron_variant 1.0 0.81 \n",
"18250 intron_variant 0.0 0.93 \n",
"19238 intergenic_variant 1.0 0.93 \n",
"19831 intron_variant 0.0 0.31 \n",
"19981 intron_variant 0.0 NR \n",
"19982 intron_variant 0.0 NR \n",
"19983 intergenic_variant 1.0 NR \n",
"19984 intron_variant 0.0 NR \n",
"19985 intron_variant 1.0 NR \n",
"19986 intron_variant 0.0 NR \n",
"19987 intergenic_variant 0.0 NR \n",
"19988 synonymous_variant 0.0 NR \n",
"19989 intergenic_variant 1.0 NR \n",
"24056 intron_variant 0.0 0.506 \n",
"24057 intron_variant 0.0 0.478 \n",
"25255 intergenic_variant 1.0 NR \n",
"25718 intergenic_variant 1.0 0.01 \n",
"25726 intron_variant 0.0 0.06 \n",
"25727 intron_variant 0.0 NaN \n",
"28061 intergenic_variant 1.0 NR \n",
"28062 intergenic_variant 1.0 NR \n",
"28705 intron_variant 0.0 0.22 \n",
"28706 intron_variant 0.0 0.52 \n",
"\n",
" P-VALUE PVALUE_MLOG P-VALUE (TEXT) OR or BETA \\\n",
"17 3e-08 7.522879 NaN 1.410 \n",
"126 8e-08 7.096910 NaN NaN \n",
"127 5e-07 6.301030 NaN NaN \n",
"128 7e-07 6.154902 NaN NaN \n",
"129 1e-06 6.000000 NaN NaN \n",
"130 2e-06 5.698970 NaN NaN \n",
"238 2e-76 75.698970 NaN 1.260 \n",
"239 1e-36 36.000000 NaN 1.200 \n",
"240 7e-20 19.154902 NaN 1.130 \n",
"241 5e-12 11.301030 NaN 1.080 \n",
"242 3e-09 8.522879 NaN 1.070 \n",
"243 1e-10 10.000000 NaN 1.200 \n",
"244 1e-13 13.000000 NaN 1.200 \n",
"245 6e-19 18.221849 NaN 1.280 \n",
"421 9e-06 5.045757 NaN 1.040 \n",
"497 3e-06 5.522879 NaN NaN \n",
"498 5e-06 5.301030 NaN NaN \n",
"499 6e-06 5.221849 NaN NaN \n",
"500 6e-06 5.221849 NaN NaN \n",
"797 4e-07 6.397940 NaN NaN \n",
"1266 2e-15 14.698970 NaN 1.290 \n",
"1345 2e-10 9.698970 NaN 1.170 \n",
"1346 1e-09 9.000000 NaN 1.160 \n",
"1347 5e-07 6.301030 NaN 1.230 \n",
"1348 2e-08 7.698970 NaN 1.250 \n",
"1349 7e-10 9.154902 NaN 1.160 \n",
"1350 2e-07 6.698970 NaN 1.060 \n",
"2337 6e-06 5.221849 NaN 1.110 \n",
"2338 6e-09 8.221849 NaN 1.120 \n",
"2731 1e-10 10.000000 NaN 1.180 \n",
"... ... ... ... ... \n",
"17351 2e-15 14.698970 NaN 1.290 \n",
"17352 6e-21 20.221849 NaN 1.270 \n",
"18196 1e-06 6.000000 NaN 1.610 \n",
"18197 4e-06 5.397940 NaN 1.460 \n",
"18198 8e-06 5.096910 NaN 1.400 \n",
"18199 8e-06 5.096910 NaN 1.300 \n",
"18200 4e-06 5.397940 NaN 1.280 \n",
"18249 2e-06 5.698970 (Meta P value) 1.430 \n",
"18250 7e-07 6.154902 (Meta P value) 2.000 \n",
"19238 9e-18 17.045757 NaN 1.670 \n",
"19831 3e-09 8.522879 NaN 1.380 \n",
"19981 1e-07 7.000000 NaN 0.259 \n",
"19982 1e-06 6.000000 NaN 0.204 \n",
"19983 1e-06 6.000000 NaN 0.401 \n",
"19984 2e-06 5.698970 NaN 0.778 \n",
"19985 4e-06 5.397940 NaN 1.185 \n",
"19986 6e-06 5.221849 NaN 0.176 \n",
"19987 8e-06 5.096910 NaN 0.179 \n",
"19988 9e-06 5.045757 NaN 0.298 \n",
"19989 9e-06 5.045757 NaN 0.238 \n",
"24056 4e-06 5.397940 NaN 1.302 \n",
"24057 2e-07 6.698970 NaN 1.337 \n",
"25255 1e-06 6.000000 NaN 1.490 \n",
"25718 2e-08 7.698970 NaN 1.880 \n",
"25726 1e-09 9.000000 (ER -ve) 1.900 \n",
"25727 7e-07 6.154902 (ER +ve) 1.220 \n",
"28061 2e-06 5.698970 NaN 1.330 \n",
"28062 6e-06 5.221849 NaN 1.250 \n",
"28705 7e-06 5.154902 NaN 1.320 \n",
"28706 1e-07 7.000000 NaN 1.200 \n",
"\n",
" 95% CI (TEXT) PLATFORM [SNPS PASSING QC] \\\n",
"17 [1.25-1.59] Affymetrix [150080] \n",
"126 NaN Affymetrix [70897] \n",
"127 NaN Affymetrix [70897] \n",
"128 NaN Affymetrix [70897] \n",
"129 NaN Affymetrix [70897] \n",
"130 NaN Affymetrix [70897] \n",
"238 [1.23-1.30] Perlegen [205586] \n",
"239 [1.16-1.24] Perlegen [205586] \n",
"240 [1.10-1.16] Perlegen [205586] \n",
"241 [1.05-1.11] Perlegen [205586] \n",
"242 [1.04-1.11] Perlegen [205586] \n",
"243 [1.07-1.42] Illumina [528173] \n",
"244 [1.14-1.26] Illumina [311524] \n",
"245 [1.21-1.35] Illumina [311524] \n",
"421 [1.01-1.08] Perlegen [205586] \n",
"497 NaN Affymetrix [70897] \n",
"498 NaN Affymetrix [70897] \n",
"499 NaN Affymetrix [70897] \n",
"500 NaN Affymetrix [70897] \n",
"797 NaN Affymetrix [200220] \n",
"1266 [1.21-1.37] Affymetrix [up to 607728] \n",
"1345 [1.07-1.27] (Het) Illumina [528173] \n",
"1346 [1.07-1.27] (Het) Illumina [528173] \n",
"1347 [1.12-1.35] (Het) Illumina [528173] \n",
"1348 [1.15-1.37] (Het) Illumina [528173] \n",
"1349 [1.09-1.24] (Het) Illumina [528173] \n",
"1350 [1.01-1.14] (Het) Illumina [528173] \n",
"2337 [1.05-1.17] Affymetrix [684457] \n",
"2338 [1.06-1.18] Affymetrix [684457] \n",
"2731 [1.13-1.25] Illumina [3154485] (imputed) \n",
"... ... ... \n",
"17351 [1.21-1.37] Illumina [1265548] (imputed) \n",
"17352 [1.21-1.34] Illumina [1265548] (imputed) \n",
"18196 [1.33-1.96] Illumina [487496] \n",
"18197 [1.24-1.72] Illumina [487496] \n",
"18198 [1.21-1.62] Illumina [487496] \n",
"18199 [1.16-1.47] Illumina [487496] \n",
"18200 [1.16-1.43] Illumina [487496] \n",
"18249 [NR] Affymetrix [435632] \n",
"18250 [NR] Affymetrix [435632] \n",
"19238 [1.49-1.89] Affymetrix, Illumina [7229558] (imputed) \n",
"19831 [1.24-1.54] Affymetrix, Illumina [7229558] (imputed) \n",
"19981 [0.16-0.36] unit decrease Illumina [6590000] (imputed) \n",
"19982 [0.12-0.29] unit decrease Illumina [6590000] (imputed) \n",
"19983 [0.24-0.56] unit decrease Illumina [6590000] (imputed) \n",
"19984 [0.46-1.1] unit decrease Illumina [6590000] (imputed) \n",
"19985 [0.68-1.69] unit decrease Illumina [6590000] (imputed) \n",
"19986 [0.100-0.252] unit increase Illumina [6590000] (imputed) \n",
"19987 [0.10-0.26] unit increase Illumina [6590000] (imputed) \n",
"19988 [0.17-0.43] unit decrease Illumina [6590000] (imputed) \n",
"19989 [0.13-0.34] unit decrease Illumina [6590000] (imputed) \n",
"24056 (1.164-1.456) Affymetrix [2067645] (imputed) \n",
"24057 (1.198-1.491) Affymetrix [2067645] (imputed) \n",
"25255 [1.27-1.75] Illumina [6500000] (imputed) \n",
"25718 [1.51-2.34] Affymetrix, Illumina [9000000] (imputed) \n",
"25726 [1.54-2.33] Affymetrix, Illumina [9000000] (imputed) \n",
"25727 [1.13-1.33] Affymetrix, Illumina [9000000] (imputed) \n",
"28061 [1.19-1.49] Illumina [6500000] (imputed) \n",
"28062 [1.13-1.39] Illumina [6500000] (imputed) \n",
"28705 [1.17-1.44] Affymetrix [292887] \n",
"28706 [1.13-1.33] Affymetrix [292887] \n",
"\n",
" CNV \n",
"17 N \n",
"126 N \n",
"127 N \n",
"128 N \n",
"129 N \n",
"130 N \n",
"238 N \n",
"239 N \n",
"240 N \n",
"241 N \n",
"242 N \n",
"243 N \n",
"244 N \n",
"245 N \n",
"421 N \n",
"497 N \n",
"498 N \n",
"499 N \n",
"500 N \n",
"797 N \n",
"1266 N \n",
"1345 N \n",
"1346 N \n",
"1347 N \n",
"1348 N \n",
"1349 N \n",
"1350 N \n",
"2337 N \n",
"2338 N \n",
"2731 N \n",
"... ... \n",
"17351 N \n",
"17352 N \n",
"18196 N \n",
"18197 N \n",
"18198 N \n",
"18199 N \n",
"18200 N \n",
"18249 N \n",
"18250 N \n",
"19238 N \n",
"19831 N \n",
"19981 N \n",
"19982 N \n",
"19983 N \n",
"19984 N \n",
"19985 N \n",
"19986 N \n",
"19987 N \n",
"19988 N \n",
"19989 N \n",
"24056 N \n",
"24057 N \n",
"25255 N \n",
"25718 N \n",
"25726 N \n",
"25727 N \n",
"28061 N \n",
"28062 N \n",
"28705 N \n",
"28706 N \n",
"\n",
"[277 rows x 34 columns]"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[gwas[\"DISEASE/TRAIT\"].str.contains(\"Breast\")]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τύπωσε για όλα τα διαφορετικά γονίδια, πόσες γραμμές υπάρχουν"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"LOC105377462 379\n",
"IREB2 163\n",
"TGFB2 - LOC105372924 146\n",
"EEFSEC 119\n",
"FAM13A 113\n",
"CHRNA3 109\n",
"GCKR 98\n",
"RUVBL1 79\n",
"FTO 79\n",
"HYKK 73\n",
"FADS1 73\n",
"CHRNA5 72\n",
"MMP3 - MMP12 59\n",
"HERPUD1 - CETP 58\n",
"ADAMTS7 56\n",
"LOC646934 56\n",
"STPG2 54\n",
"FADS2 48\n",
"ARHGEF12 47\n",
"CSMD1 47\n",
"CDKN2B-AS1 47\n",
"CFH 47\n",
"TCF7L2 46\n",
"ZPR1 46\n",
"CDKAL1 44\n",
"LOC105377462 - KRT18P51 43\n",
"CHRNB4 42\n",
"APOC1 - APOC1P1 42\n",
"TOMM40 42\n",
"TGFB2 41\n",
" ... \n",
"LINC01387 - LOC101927168 1\n",
"TRAK1 - LOC105377048 1\n",
"MYCBPAP 1\n",
"NOTCH2 1\n",
"LOC100128721 - LOC107987225 1\n",
"LAYN 1\n",
"LOC645978 - HNRNPA1P51 1\n",
"LOC107986049 - TOMM22P6 1\n",
"DTX2P1-UPK3BP1-PMS2P11 1\n",
"GTF3AP1 - IL33 1\n",
"ATM 1\n",
"LINC00624 - BCL9 1\n",
"RBMXP1 - LOC107986602 1\n",
"LOC105373335 - BCORL1 1\n",
"RGL1, APOBEC4 1\n",
"MARK3 1\n",
"OR8S21P, C12orf54 x HNF1B 1\n",
"LOC102724109, LOC105377867 1\n",
"MTIF3, LOC105370127 1\n",
"ATP11A 1\n",
"LOC105372538 1\n",
"LTA - TNF 1\n",
"LOC105374814 1\n",
"CCR3 - UQCRC2P1 1\n",
"B3GAT1 - LOC283177 1\n",
"PARK7 - LOC105376694 1\n",
"LOC105373847 - INO80D 1\n",
"LOC105379318 1\n",
"DNM3, LOC102724541 1\n",
"LOC100509303 - LOC105372896 1\n",
"Name: MAPPED_GENE, dtype: int64"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas[\"MAPPED_GENE\"].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Κάνε ένα bar plot για τα πρώτα 10 από αυτά:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x115b815c0>"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"gwas[\"MAPPED_GENE\"].value_counts()[:10].plot(kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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cQKTegMregvHA3RXnrCRpTFVvwfjcVlN7eztjx47tcaytrY22trahfBtmZmYjSkdHBx0d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\nEQur2lYm9RY8EhGHFFGfmZn11HKhQNJ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"text/plain": [
"<matplotlib.figure.Figure at 0x115529da0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Μπορούμε να διαγράψουμε ένα πεδίο:"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"gwas = gwas.drop('LINK', 1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Μπορούμε να μετατρέψουμε ένα πεδίο σε ένα άλλο φορμάτ. Π.χ:"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gwas['DATE'] = pd.to_datetime(gwas[\"DATE\"]) # Μετατροπή του DATE από string σε datetime"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τώρα μπορούμε να κάνουμε sort τα δεδομένα μας με βάση το DATE:"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"gwas_date_sorted = gwas.sort_values('DATE')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Και μπορούμε να κάνουμε plot όλα τα p-values με βάση το DATE που έγιναν publish"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"outputs": [
{
"ename": "TypeError",
"evalue": "Empty 'DataFrame': no numeric data to plot",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-48-95daccd08164>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgwas_date_sorted\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'P-VALUE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/pandas/tools/plotting.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 3564\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3565\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3566\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 3567\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplot_series\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3568\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/pandas/tools/plotting.py\u001b[0m in \u001b[0;36mplot_series\u001b[0;34m(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2643\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2644\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2645\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 2646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2647\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/pandas/tools/plotting.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 2439\u001b[0m \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2440\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2441\u001b[0;31m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2442\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2443\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/pandas/tools/plotting.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1024\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1025\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1026\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1027\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1028\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/pandas/tools/plotting.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1133\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1134\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m-> 1135\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 1136\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1137\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot"
]
}
],
"source": [
"gwas_date_sorted['P-VALUE'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τι έγινε εδώ;"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"{str, float}"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"set([type(x) for x in gwas_date_sorted['P-VALUE']])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Κάποια p-values είναι str και κάποια float! Ποια είναι strings? Ας προσπαθήσουμε να τα μετατρέψουμε όλα σε numberic:"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [
{
"ename": "ValueError",
"evalue": "Unable to parse string",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-54-507b9055f32a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numeric\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgwas_date_sorted\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'P-VALUE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/Users/alexandroskanterakis/anaconda3/envs/py3k/lib/python3.5/site-packages/pandas/tools/util.py\u001b[0m in \u001b[0;36mto_numeric\u001b[0;34m(arg, errors)\u001b[0m\n\u001b[1;32m 113\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 114\u001b[0m values = lib.maybe_convert_numeric(values, set(),\n\u001b[0;32m--> 115\u001b[0;31m coerce_numeric=coerce_numeric)\n\u001b[0m\u001b[1;32m 116\u001b[0m \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'raise'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/src/inference.pyx\u001b[0m in \u001b[0;36mpandas.lib.maybe_convert_numeric (pandas/lib.c:53558)\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/src/inference.pyx\u001b[0m in \u001b[0;36mpandas.lib.maybe_convert_numeric (pandas/lib.c:53344)\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Unable to parse string"
]
}
],
"source": [
"pd.to_numeric(gwas_date_sorted['P-VALUE'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Αποτυχία. Ας του πούμε να βάλει NaN values όπου η μετατροπή αποτυγχάνει:"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"274 4.000000e-08\n",
"273 8.000000e-06\n",
"272 1.000000e-10\n",
"271 2.000000e-06\n",
"270 2.000000e-06\n",
"269 7.000000e-06\n",
"268 8.000000e-12\n",
"409 5.000000e-10\n",
"267 6.000000e-06\n",
"266 2.000000e-06\n",
"410 2.000000e-34\n",
"265 3.000000e-06\n",
"337 6.000000e-08\n",
"260 7.000000e-07\n",
"264 6.000000e-06\n",
"263 5.000000e-06\n",
"262 3.000000e-06\n",
"411 9.000000e-06\n",
"261 2.000000e-06\n",
"753 1.000000e-06\n",
"259 2.000000e-12\n",
"412 2.000000e-18\n",
"258 4.000000e-07\n",
"276 3.000000e-15\n",
"325 2.000000e-06\n",
"256 1.000000e-12\n",
"414 6.000000e-18\n",
"415 1.000000e-39\n",
"413 2.000000e-14\n",
"257 9.000000e-13\n",
" ... \n",
"33739 3.000000e-06\n",
"33737 4.000000e-06\n",
"33736 5.000000e-07\n",
"33735 5.000000e-06\n",
"33734 4.000000e-06\n",
"33733 4.000000e-06\n",
"33742 8.000000e-06\n",
"33732 3.000000e-06\n",
"23656 2.000000e-06\n",
"23657 4.000000e-06\n",
"22917 5.000000e-11\n",
"23658 6.000000e-06\n",
"23653 2.000000e-06\n",
"23654 5.000000e-07\n",
"23655 9.000000e-07\n",
"23163 9.000000e-06\n",
"23162 9.000000e-06\n",
"23159 2.000000e-06\n",
"23160 6.000000e-06\n",
"23161 7.000000e-06\n",
"23158 2.000000e-07\n",
"33709 6.000000e-11\n",
"27325 2.000000e-09\n",
"34003 3.000000e-07\n",
"34004 4.000000e-07\n",
"34005 4.000000e-07\n",
"34006 8.000000e-07\n",
"34007 4.000000e-07\n",
"34008 4.000000e-07\n",
"34009 7.000000e-08\n",
"Name: P-VALUE, dtype: float64"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.to_numeric(gwas_date_sorted['P-VALUE'], errors='coerce')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ωραία ας αντικαταστήσουμε τώρα το παλιό με το νέο πεδίο:"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"gwas_date_sorted['P-VALUE'] = pd.to_numeric(gwas_date_sorted['P-VALUE'], errors='coerce')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τώρα μπορούμε να δούμε πoιες γραμμή είναι NaN"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>REGION</th>\n",
" <th>...</th>\n",
" <th>CONTEXT</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
" <th>P-VALUE</th>\n",
" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
" <th>95% CI (TEXT)</th>\n",
" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>20336</th>\n",
" <td>2009-04-01</td>\n",
" <td>19198611</td>\n",
" <td>Tregouet DA</td>\n",
" <td>2009-02-08</td>\n",
" <td>Nat Genet</td>\n",
" <td>Genome-wide haplotype association study identi...</td>\n",
" <td>Coronary heart disease</td>\n",
" <td>1,926 European ancestry cases, 2,938 European ...</td>\n",
" <td>7,073 European ancestry cases, 7,325 European ...</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Affymetrix [~ 500000]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6411</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>3q28</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6418</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>4p15.1</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10&lt;sup&gt;-6&lt;/sup&gt; (RHippocampus)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6417</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>3p14.1</td>\n",
" <td>...</td>\n",
" <td>upstream_gene_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6416</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>1p31.3</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6415</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>7q35</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6414</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>10q21.1</td>\n",
" <td>...</td>\n",
" <td>downstream_gene_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6413</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>19q13.32</td>\n",
" <td>...</td>\n",
" <td>intron_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6410</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>19q13.32</td>\n",
" <td>...</td>\n",
" <td>missense_variant</td>\n",
" <td>0.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6409</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>2q36.1</td>\n",
" <td>...</td>\n",
" <td>regulatory_region_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10&lt;sup&gt;-6&lt;/sup&gt; (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6412</th>\n",
" <td>2010-02-12</td>\n",
" <td>20100581</td>\n",
" <td>Shen L</td>\n",
" <td>2010-01-22</td>\n",
" <td>Neuroimage</td>\n",
" <td>Whole genome association study of brain-wide i...</td>\n",
" <td>Brain imaging</td>\n",
" <td>175 European ancestry Alzheimer cases, 354 Eur...</td>\n",
" <td>NaN</td>\n",
" <td>7p21.3</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>NR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>&lt;1 x 10-6 (multiple phenotypes)</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Illumina [530992]</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33386</th>\n",
" <td>2016-12-01</td>\n",
" <td>26910538</td>\n",
" <td>Choi SH</td>\n",
" <td>2016-02-24</td>\n",
" <td>PLoS Genet</td>\n",
" <td>Six Novel Loci Associated with Circulating VEG...</td>\n",
" <td>Vascular endothelial growth factor levels</td>\n",
" <td>11,300 European ancestry individuals, 1,115 Ci...</td>\n",
" <td>2,141 European ancestry individuals, 659 Sorbi...</td>\n",
" <td>6p21.1</td>\n",
" <td>...</td>\n",
" <td>intergenic_variant</td>\n",
" <td>1.0</td>\n",
" <td>0.46</td>\n",
" <td>NaN</td>\n",
" <td>1448.69897</td>\n",
" <td>NaN</td>\n",
" <td>0.64</td>\n",
" <td>[0.62-0.66] unit decrease</td>\n",
" <td>Affymetrix, Illumina [6705861] (imputed)</td>\n",
" <td>N</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>12 rows × 33 columns</p>\n",
"</div>"
],
"text/plain": [
" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE JOURNAL \\\n",
"20336 2009-04-01 19198611 Tregouet DA 2009-02-08 Nat Genet \n",
"6411 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6418 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6417 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6416 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6415 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6414 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6413 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6410 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6409 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"6412 2010-02-12 20100581 Shen L 2010-01-22 Neuroimage \n",
"33386 2016-12-01 26910538 Choi SH 2016-02-24 PLoS Genet \n",
"\n",
" STUDY \\\n",
"20336 Genome-wide haplotype association study identi... \n",
"6411 Whole genome association study of brain-wide i... \n",
"6418 Whole genome association study of brain-wide i... \n",
"6417 Whole genome association study of brain-wide i... \n",
"6416 Whole genome association study of brain-wide i... \n",
"6415 Whole genome association study of brain-wide i... \n",
"6414 Whole genome association study of brain-wide i... \n",
"6413 Whole genome association study of brain-wide i... \n",
"6410 Whole genome association study of brain-wide i... \n",
"6409 Whole genome association study of brain-wide i... \n",
"6412 Whole genome association study of brain-wide i... \n",
"33386 Six Novel Loci Associated with Circulating VEG... \n",
"\n",
" DISEASE/TRAIT \\\n",
"20336 Coronary heart disease \n",
"6411 Brain imaging \n",
"6418 Brain imaging \n",
"6417 Brain imaging \n",
"6416 Brain imaging \n",
"6415 Brain imaging \n",
"6414 Brain imaging \n",
"6413 Brain imaging \n",
"6410 Brain imaging \n",
"6409 Brain imaging \n",
"6412 Brain imaging \n",
"33386 Vascular endothelial growth factor levels \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"20336 1,926 European ancestry cases, 2,938 European ... \n",
"6411 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6418 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6417 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6416 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6415 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6414 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6413 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6410 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6409 175 European ancestry Alzheimer cases, 354 Eur... \n",
"6412 175 European ancestry Alzheimer cases, 354 Eur... \n",
"33386 11,300 European ancestry individuals, 1,115 Ci... \n",
"\n",
" REPLICATION SAMPLE SIZE REGION ... \\\n",
"20336 7,073 European ancestry cases, 7,325 European ... NaN ... \n",
"6411 NaN 3q28 ... \n",
"6418 NaN 4p15.1 ... \n",
"6417 NaN 3p14.1 ... \n",
"6416 NaN 1p31.3 ... \n",
"6415 NaN 7q35 ... \n",
"6414 NaN 10q21.1 ... \n",
"6413 NaN 19q13.32 ... \n",
"6410 NaN 19q13.32 ... \n",
"6409 NaN 2q36.1 ... \n",
"6412 NaN 7p21.3 ... \n",
"33386 2,141 European ancestry individuals, 659 Sorbi... 6p21.1 ... \n",
"\n",
" CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE \\\n",
"20336 NaN NaN NaN NaN \n",
"6411 intergenic_variant 0.0 NR NaN \n",
"6418 intergenic_variant 0.0 NR NaN \n",
"6417 upstream_gene_variant 1.0 NR NaN \n",
"6416 intergenic_variant 1.0 NR NaN \n",
"6415 intergenic_variant 1.0 NR NaN \n",
"6414 downstream_gene_variant 1.0 NR NaN \n",
"6413 intron_variant 0.0 NR NaN \n",
"6410 missense_variant 0.0 NR NaN \n",
"6409 regulatory_region_variant 1.0 NR NaN \n",
"6412 intergenic_variant 1.0 NR NaN \n",
"33386 intergenic_variant 1.0 0.46 NaN \n",
"\n",
" PVALUE_MLOG P-VALUE (TEXT) OR or BETA \\\n",
"20336 NaN NaN NaN \n",
"6411 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6418 NaN <1 x 10<sup>-6</sup> (RHippocampus) NaN \n",
"6417 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6416 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6415 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6414 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6413 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6410 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"6409 NaN <1 x 10<sup>-6</sup> (multiple phenotypes) NaN \n",
"6412 NaN <1 x 10-6 (multiple phenotypes) NaN \n",
"33386 1448.69897 NaN 0.64 \n",
"\n",
" 95% CI (TEXT) PLATFORM [SNPS PASSING QC] CNV \n",
"20336 NaN Affymetrix [~ 500000] N \n",
"6411 NaN Illumina [530992] N \n",
"6418 NaN Illumina [530992] N \n",
"6417 NaN Illumina [530992] N \n",
"6416 NaN Illumina [530992] N \n",
"6415 NaN Illumina [530992] N \n",
"6414 NaN Illumina [530992] N \n",
"6413 NaN Illumina [530992] N \n",
"6410 NaN Illumina [530992] N \n",
"6409 NaN Illumina [530992] N \n",
"6412 NaN Illumina [530992] N \n",
"33386 [0.62-0.66] unit decrease Affymetrix, Illumina [6705861] (imputed) N \n",
"\n",
"[12 rows x 33 columns]"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas_date_sorted[gwas_date_sorted['P-VALUE'].isnull()]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Είναι 12 γραμμές. Ας τις βγάλουμε.."
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"gwas_date_sorted = gwas_date_sorted[~gwas_date_sorted['P-VALUE'].isnull()]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τώρα μπορούμε να κάνουμε το plot:"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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dp27FGghsAD4qsxwRERFppuY8HroZuMfM6gktECOALYB7AMzseqC3u6fmYvkNcL6Z3QDc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\npKWccttCwtOc4Zn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EHiCFldSnJWplqAcOTe0zM4teT85x2pR4fOSwaH++mMGpmALXTcXM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\nSYuIiIgkwv8HBaceyETuIwAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x115cf3358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gwas_date_sorted['P-VALUE'].plot()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τι είναι αυτό καλέ; \n",
"Από default στον Χ άξονα βάζει το index του dataframe:"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Int64Index([ 274, 273, 272, 271, 270, 269, 268, 409, 267,\n",
" 266,\n",
" ...\n",
" 23158, 33709, 27325, 34003, 34004, 34005, 34006, 34007, 34008,\n",
" 34009],\n",
" dtype='int64', length=34082)"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas_date_sorted.index"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Το index είναι ένα μοναδικό στοιχείο που χαρακτηρίζει κάθε γραμμή. Από default περιέχει τον άυξων αριθμό της γραμμής στο CSV αρχείο. Μπορούμε όμως να αλλάξουμε το index:"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gwas_date_sorted2 = gwas_date_sorted.set_index(gwas_date_sorted['DATE'])"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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iIpI7KisrqaysbLOsuro68PbpCA4vAd9rt+xeYDZwpXNuvpktBfYCZsL6wZC74Y2LAJgG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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11af9f4e0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gwas_date_sorted2['PVALUE_MLOG'].plot()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Παρατηρούμε ότι όσο περνάει ο χρόνος. Οι GWAS έρευνες που γίνονται έχουν πιο χαμηλό p-value."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Μπορούμε να φτιάξουμε ένα νέα field μέσω του index"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"gwas_date_sorted2['YEAR'] = gwas_date_sorted2.index.year"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Μπορούμε επίσης να \"γκρουπάρουμε\" όλες τις γραμμές ανάλογα με τις τιμές ενός πεδίου:"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>REGION</th>\n",
" <th>...</th>\n",
" <th>CONTEXT</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
" <th>P-VALUE</th>\n",
" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
" <th>95% CI (TEXT)</th>\n",
" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" </tr>\n",
" <tr>\n",
" <th>YEAR</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2005</th>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2006</th>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>8</td>\n",
" <td>...</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>7</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2007</th>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>194</td>\n",
" <td>437</td>\n",
" <td>...</td>\n",
" <td>437</td>\n",
" <td>437</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" <td>195</td>\n",
" <td>223</td>\n",
" <td>223</td>\n",
" <td>439</td>\n",
" <td>439</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2008</th>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>627</td>\n",
" <td>974</td>\n",
" <td>...</td>\n",
" <td>974</td>\n",
" <td>972</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" <td>217</td>\n",
" <td>677</td>\n",
" <td>709</td>\n",
" <td>977</td>\n",
" <td>977</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2009</th>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>787</td>\n",
" <td>1343</td>\n",
" <td>...</td>\n",
" <td>1343</td>\n",
" <td>1339</td>\n",
" <td>1343</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" <td>481</td>\n",
" <td>1052</td>\n",
" <td>1050</td>\n",
" <td>1346</td>\n",
" <td>1346</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010</th>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>1255</td>\n",
" <td>2564</td>\n",
" <td>...</td>\n",
" <td>2564</td>\n",
" <td>2567</td>\n",
" <td>2539</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" <td>694</td>\n",
" <td>2039</td>\n",
" <td>2043</td>\n",
" <td>2569</td>\n",
" <td>2569</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011</th>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>1499</td>\n",
" <td>2500</td>\n",
" <td>...</td>\n",
" <td>2503</td>\n",
" <td>2504</td>\n",
" <td>2442</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" <td>759</td>\n",
" <td>2086</td>\n",
" <td>2075</td>\n",
" <td>2522</td>\n",
" <td>2522</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012</th>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>1498</td>\n",
" <td>4240</td>\n",
" <td>...</td>\n",
" <td>4242</td>\n",
" <td>4195</td>\n",
" <td>4122</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" <td>2580</td>\n",
" <td>3248</td>\n",
" <td>3266</td>\n",
" <td>4281</td>\n",
" <td>4281</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013</th>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>2259</td>\n",
" <td>5477</td>\n",
" <td>...</td>\n",
" <td>5479</td>\n",
" <td>5469</td>\n",
" <td>4995</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" <td>2432</td>\n",
" <td>4639</td>\n",
" <td>4631</td>\n",
" <td>5534</td>\n",
" <td>5534</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014</th>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>1803</td>\n",
" <td>4059</td>\n",
" <td>...</td>\n",
" <td>4060</td>\n",
" <td>4195</td>\n",
" <td>3680</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" <td>1786</td>\n",
" <td>3679</td>\n",
" <td>3705</td>\n",
" <td>4248</td>\n",
" <td>4248</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015</th>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>3030</td>\n",
" <td>10680</td>\n",
" <td>...</td>\n",
" <td>10681</td>\n",
" <td>11072</td>\n",
" <td>10294</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" <td>4485</td>\n",
" <td>10447</td>\n",
" <td>10115</td>\n",
" <td>11103</td>\n",
" <td>11103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016</th>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>443</td>\n",
" <td>1039</td>\n",
" <td>...</td>\n",
" <td>1039</td>\n",
" <td>1053</td>\n",
" <td>1030</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" <td>479</td>\n",
" <td>966</td>\n",
" <td>950</td>\n",
" <td>1053</td>\n",
" <td>1053</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>12 rows × 33 columns</p>\n",
"</div>"
],
"text/plain": [
" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE JOURNAL STUDY \\\n",
"YEAR \n",
"2005 2 2 2 2 2 2 \n",
"2006 8 8 8 8 8 8 \n",
"2007 439 439 439 439 439 439 \n",
"2008 977 977 977 977 977 977 \n",
"2009 1346 1346 1346 1346 1346 1346 \n",
"2010 2569 2569 2569 2569 2569 2569 \n",
"2011 2522 2522 2522 2522 2522 2522 \n",
"2012 4281 4281 4281 4281 4281 4281 \n",
"2013 5534 5534 5534 5534 5534 5534 \n",
"2014 4248 4248 4248 4248 4248 4248 \n",
"2015 11103 11103 11103 11103 11103 11103 \n",
"2016 1053 1053 1053 1053 1053 1053 \n",
"\n",
" DISEASE/TRAIT INITIAL SAMPLE SIZE REPLICATION SAMPLE SIZE REGION \\\n",
"YEAR \n",
"2005 2 2 1 2 \n",
"2006 8 8 4 8 \n",
"2007 439 439 194 437 \n",
"2008 977 977 627 974 \n",
"2009 1346 1346 787 1343 \n",
"2010 2569 2569 1255 2564 \n",
"2011 2522 2522 1499 2500 \n",
"2012 4281 4281 1498 4240 \n",
"2013 5534 5534 2259 5477 \n",
"2014 4248 4248 1803 4059 \n",
"2015 11103 11103 3030 10680 \n",
"2016 1053 1053 443 1039 \n",
"\n",
" ... CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE PVALUE_MLOG \\\n",
"YEAR ... \n",
"2005 ... 2 2 2 2 2 \n",
"2006 ... 8 8 7 8 8 \n",
"2007 ... 437 437 439 439 439 \n",
"2008 ... 974 972 977 977 977 \n",
"2009 ... 1343 1339 1343 1346 1346 \n",
"2010 ... 2564 2567 2539 2569 2569 \n",
"2011 ... 2503 2504 2442 2522 2522 \n",
"2012 ... 4242 4195 4122 4281 4281 \n",
"2013 ... 5479 5469 4995 5534 5534 \n",
"2014 ... 4060 4195 3680 4248 4248 \n",
"2015 ... 10681 11072 10294 11103 11103 \n",
"2016 ... 1039 1053 1030 1053 1053 \n",
"\n",
" P-VALUE (TEXT) OR or BETA 95% CI (TEXT) PLATFORM [SNPS PASSING QC] \\\n",
"YEAR \n",
"2005 0 2 2 2 \n",
"2006 0 6 6 8 \n",
"2007 195 223 223 439 \n",
"2008 217 677 709 977 \n",
"2009 481 1052 1050 1346 \n",
"2010 694 2039 2043 2569 \n",
"2011 759 2086 2075 2522 \n",
"2012 2580 3248 3266 4281 \n",
"2013 2432 4639 4631 5534 \n",
"2014 1786 3679 3705 4248 \n",
"2015 4485 10447 10115 11103 \n",
"2016 479 966 950 1053 \n",
"\n",
" CNV \n",
"YEAR \n",
"2005 2 \n",
"2006 8 \n",
"2007 439 \n",
"2008 977 \n",
"2009 1346 \n",
"2010 2569 \n",
"2011 2522 \n",
"2012 4281 \n",
"2013 5534 \n",
"2014 4248 \n",
"2015 11103 \n",
"2016 1053 \n",
"\n",
"[12 rows x 33 columns]"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas_date_sorted2.groupby('YEAR').aggregate('count')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Το aggregate εφαρμόζει μία συνάρτηση σε κάθε ένα group ξεχωριστά. Υπάρχουν πολλές built-in συναρτήσεις όπως οι count, mean, median, sum, min, max. \n",
"\n",
"Π.χ: πλοτάρουμε το πλήθος των entries ανά χρόνο"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x14bed7550>"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas_date_sorted2.groupby('YEAR').aggregate('count')['JOURNAL'].plot()"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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n2Z0iv7ra98Ep1oDSr58fuZRPASWDg8pERCQKnn8ezj8f2rWDqioYPDjsGtUv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\nREREIkcBRURERCJHAUVEREQi5/8BVK4bTXztdC4AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x115d1a278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Τυπώνουμε όλες τις γραμμές που έχουν MAPPED_GENE το BRCA2 και έχουν p-value<0.0000001"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DATE ADDED TO CATALOG</th>\n",
" <th>PUBMEDID</th>\n",
" <th>FIRST AUTHOR</th>\n",
" <th>DATE</th>\n",
" <th>JOURNAL</th>\n",
" <th>STUDY</th>\n",
" <th>DISEASE/TRAIT</th>\n",
" <th>INITIAL SAMPLE SIZE</th>\n",
" <th>REPLICATION SAMPLE SIZE</th>\n",
" <th>REGION</th>\n",
" <th>...</th>\n",
" <th>INTERGENIC</th>\n",
" <th>RISK ALLELE FREQUENCY</th>\n",
" <th>P-VALUE</th>\n",
" <th>PVALUE_MLOG</th>\n",
" <th>P-VALUE (TEXT)</th>\n",
" <th>OR or BETA</th>\n",
" <th>95% CI (TEXT)</th>\n",
" <th>PLATFORM [SNPS PASSING QC]</th>\n",
" <th>CNV</th>\n",
" <th>YEAR</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DATE</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2013-10-06</th>\n",
" <td>2014-05-12</td>\n",
" <td>24097068</td>\n",
" <td>Willer CJ</td>\n",
" <td>2013-10-06</td>\n",
" <td>Nat Genet</td>\n",
" <td>Discovery and refinement of loci associated wi...</td>\n",
" <td>LDL cholesterol</td>\n",
" <td>94,595 European ancestry individuals</td>\n",
" <td>93,982 European ancestry individuals</td>\n",
" <td>13q13.1</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.48</td>\n",
" <td>2.000000e-11</td>\n",
" <td>10.69897</td>\n",
" <td>NaN</td>\n",
" <td>0.024</td>\n",
" <td>[NR] unit increase</td>\n",
" <td>NR [NR] (imputed)</td>\n",
" <td>N</td>\n",
" <td>2013</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-06-01</th>\n",
" <td>2015-01-21</td>\n",
" <td>24880342</td>\n",
" <td>Wang Y</td>\n",
" <td>2014-06-01</td>\n",
" <td>Nat Genet</td>\n",
" <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
" <td>Lung cancer</td>\n",
" <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>13q13.1</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0105</td>\n",
" <td>5.000000e-20</td>\n",
" <td>19.30103</td>\n",
" <td>(Squamous cell carcinoma)</td>\n",
" <td>2.470</td>\n",
" <td>[2.03-3.00]</td>\n",
" <td>Illumina [8900000] (imputed)</td>\n",
" <td>N</td>\n",
" <td>2014</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2014-06-01</th>\n",
" <td>2015-01-21</td>\n",
" <td>24880342</td>\n",
" <td>Wang Y</td>\n",
" <td>2014-06-01</td>\n",
" <td>Nat Genet</td>\n",
" <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
" <td>Lung cancer</td>\n",
" <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
" <td>13q13.1</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.011</td>\n",
" <td>2.000000e-19</td>\n",
" <td>18.69897</td>\n",
" <td>(All lung cancer)</td>\n",
" <td>1.830</td>\n",
" <td>[1.61-2.09]</td>\n",
" <td>Illumina [8900000] (imputed)</td>\n",
" <td>N</td>\n",
" <td>2014</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3 rows × 34 columns</p>\n",
"</div>"
],
"text/plain": [
" DATE ADDED TO CATALOG PUBMEDID FIRST AUTHOR DATE JOURNAL \\\n",
"DATE \n",
"2013-10-06 2014-05-12 24097068 Willer CJ 2013-10-06 Nat Genet \n",
"2014-06-01 2015-01-21 24880342 Wang Y 2014-06-01 Nat Genet \n",
"2014-06-01 2015-01-21 24880342 Wang Y 2014-06-01 Nat Genet \n",
"\n",
" STUDY \\\n",
"DATE \n",
"2013-10-06 Discovery and refinement of loci associated wi... \n",
"2014-06-01 Rare variants of large effect in BRCA2 and CHE... \n",
"2014-06-01 Rare variants of large effect in BRCA2 and CHE... \n",
"\n",
" DISEASE/TRAIT \\\n",
"DATE \n",
"2013-10-06 LDL cholesterol \n",
"2014-06-01 Lung cancer \n",
"2014-06-01 Lung cancer \n",
"\n",
" INITIAL SAMPLE SIZE \\\n",
"DATE \n",
"2013-10-06 94,595 European ancestry individuals \n",
"2014-06-01 3,442 European ancestry adenocarcinoma cases, ... \n",
"2014-06-01 3,442 European ancestry adenocarcinoma cases, ... \n",
"\n",
" REPLICATION SAMPLE SIZE REGION ... \\\n",
"DATE ... \n",
"2013-10-06 93,982 European ancestry individuals 13q13.1 ... \n",
"2014-06-01 3,589 European ancestry adenocarcinoma cases, ... 13q13.1 ... \n",
"2014-06-01 3,589 European ancestry adenocarcinoma cases, ... 13q13.1 ... \n",
"\n",
" INTERGENIC RISK ALLELE FREQUENCY P-VALUE PVALUE_MLOG \\\n",
"DATE \n",
"2013-10-06 0.0 0.48 2.000000e-11 10.69897 \n",
"2014-06-01 0.0 0.0105 5.000000e-20 19.30103 \n",
"2014-06-01 0.0 0.011 2.000000e-19 18.69897 \n",
"\n",
" P-VALUE (TEXT) OR or BETA 95% CI (TEXT) \\\n",
"DATE \n",
"2013-10-06 NaN 0.024 [NR] unit increase \n",
"2014-06-01 (Squamous cell carcinoma) 2.470 [2.03-3.00] \n",
"2014-06-01 (All lung cancer) 1.830 [1.61-2.09] \n",
"\n",
" PLATFORM [SNPS PASSING QC] CNV YEAR \n",
"DATE \n",
"2013-10-06 NR [NR] (imputed) N 2013 \n",
"2014-06-01 Illumina [8900000] (imputed) N 2014 \n",
"2014-06-01 Illumina [8900000] (imputed) N 2014 \n",
"\n",
"[3 rows x 34 columns]"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gwas_date_sorted2[(gwas_date_sorted2[\"MAPPED_GENE\"] == \"BRCA2\") & (gwas_date_sorted2['P-VALUE']< 0.000000001)]"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"g=gwas_date_sorted2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Όλες οι γραμμές που έχουν χρωμόσωμα που ανοίκει στον πίνακα ['1', '2', ... '22', 'Χ','Υ' ]"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"g3 = g[g[\"CHR_ID\"].isin([str(x) for x in range(1,23)] + [\"X\", \"Y\"])]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Πόσες γραμμές ανά χρωμόσωμα έχουμε;"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"6 2887\n",
"1 2775\n",
"2 2677\n",
"4 2184\n",
"3 2128\n",
"11 2018\n",
"5 1823\n",
"15 1658\n",
"12 1599\n",
"10 1537\n",
"8 1524\n",
"7 1521\n",
"9 1307\n",
"16 1235\n",
"19 1002\n",
"17 981\n",
"14 862\n",
"13 776\n",
"20 762\n",
"18 708\n",
"22 549\n",
"21 323\n",
"X 226\n",
"Name: CHR_ID, dtype: int64"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g3[\"CHR_ID\"].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ποιο είναι το πιο χαμηλό p-value ανά χρωμόσωμα;"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"CHR_ID\n",
"1 0.000000e+00\n",
"10 0.000000e+00\n",
"11 0.000000e+00\n",
"12 0.000000e+00\n",
"13 9.000000e-256\n",
"14 2.000000e-188\n",
"15 1.000000e-300\n",
"16 0.000000e+00\n",
"17 2.000000e-118\n",
"18 7.000000e-59\n",
"19 4.940656e-324\n",
"2 0.000000e+00\n",
"20 2.000000e-200\n",
"21 7.000000e-53\n",
"22 5.000000e-178\n",
"3 0.000000e+00\n",
"4 0.000000e+00\n",
"5 7.000000e-262\n",
"6 0.000000e+00\n",
"7 1.000000e-303\n",
"8 3.000000e-202\n",
"9 2.000000e-138\n",
"X 1.000000e-93\n",
"Name: P-VALUE, dtype: float64"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g3.groupby(\"CHR_ID\")[\"P-VALUE\"].aggregate('min')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Μπορούμε να σώσουμε ένα pandas αντικείμενο σε csv (ή κάποιο άλλο φορμάτ):"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"g3.to_csv('results.csv')"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"g3.to_excel('results.xls')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ένα τελευταίο παράδειγμα:\n",
"Από όλα τα studies που έχουν το Breast στο DISEASE/TRAIN και έχουν PVALUE<10^-10, βρες το χρωμόσωμα που έχει τα περισσότερα studies"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'5'"
]
},
"execution_count": 112,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g3[ (g3[\"DISEASE/TRAIT\"].str.contains('Breast')) & (g3[\"PVALUE_MLOG\"]>10)].groupby(\"CHR_ID\")['JOURNAL'].aggregate('count').idxmax()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Αναμενόμενο αφού το BRCA2 βρίσκεται στο χρωμόσωμα 5\n",
"\n",
"Να και ένα pie-chart με την κατανομή των studies ανά χρωμόσωμα:"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x123d27940>"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g3[ (g3[\"DISEASE/TRAIT\"].str.contains('Breast')) & (g3[\"PVALUE_MLOG\"]>10)].groupby(\"CHR_ID\")['CHR_ID'].aggregate('count').plot(kind='pie')"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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t3p38mTNxm2lhjKynXz+YNAned95jGYnNtLmrWM3rrye03RopLgbgrNT0Vi/e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\nyWcREdka4Se6EGe/Sg5agInlfkrZxaYU8DtSntS7kJ1pWaM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nwSess47tpXftWvUwmYrc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\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11c93bcc0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ένας (από τους πολλούς) τρόπους για να φτιάξετε ένα data frame από δικά σας δεδομένα είναι:"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>A</th>\n",
" <th>B</th>\n",
" <th>C</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>aa</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>bb</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>cc</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>dd</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" A B C\n",
"0 1 aa True\n",
"1 2 bb False\n",
"2 3 cc False\n",
"3 4 dd True"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data={\"A\": [1,2,3,4], \"B\": [\"aa\", \"bb\", \"cc\", \"dd\"], \"C\": [True, False, False, True]}\n",
"df = pd.DataFrame(data)\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Ασκήσεις "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Χρησιμοποιώντας το ίδιο dataset με αυτή τη διάλέξη απαντήστε στα παρακάτω ερωτήματα:\n",
"* Ποιος είναι ο ερευνητής που έχει τις περισσότερες δημοσιεύσεις στο Nature Genetics;\n",
"* Ποιο region περιέχει τις περισσότερες μελέτες σχετικά με καρκίνο;\n",
"* Ποιος είναι ο μέσος όρος και το median του allele_frequency για όλα τα variants που ανακαλύπτοντε κάθε χρόνο;\n",
"* Το ίδιο με παραπάνω αλλά μόνο για καρκίνο\n",
"* Κάντε ένα scatter plot με το risk allele frequency και τα p-values. Τι παρατηρείτε;\n",
"* Κάντε ένα cumulative plot (δείτε προηγούμενη άσκηση) με όλα τα p-values "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda env:py3k]",
"language": "python",
"name": "conda-env-py3k-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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