Research article
An Open Access Database of Genome-wide Association Results
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* Corresponding author: Christopher J O'Donnell odonnellc@nhlbi.nih.gov
1 National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
2 Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
3 Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
BMC Medical Genetics 2009, 10:6 doi:10.1186/1471-2350-10-6
Published: 22 January 2009Additional files
Additional file 1:
Summary information on the 118 GWAS studies included in this study. Information on GWAS including genotyping arrays, phenotype descriptions, discovery and replication samples, analytic strategies, data availability, URLs, publication date and contact information. Data fields are described in detail in Additional file 3.
Format: XLS Size: 92KB Download file
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Additional file 2:
56,411 GWAS genotype-phenotype associations and annotation. The database of significant GWAS associations and additional gene and SNP annotations used in this paper. Data fields are described in detail in Additional file 3.
Format: ZIP Size: 5.4MB Download file
Additional file 3:
Supplemental text. Supplemental text for the paper providing detailed descriptions of how data fields were ascertained for Additional files 1, 2 and 4, as well as a description of gene ontology analysis, full citation information for 118 GWAS and identification of studies included in disease groups for ontology analysis presented in Additional file 5.
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Additional file 4:
Microsoft Access 2007 database of 56,411 GWAS genotype-phenotype associations and annotation. The database of significant GWAS associations and additional gene and SNP annotations used in this paper. Data fields are similar to Additional file 2 and are described in detail in Additional file 3.
Format: ZIP Size: 10.5MB Download file
Additional file 5:
GOminer gene ontology analysis results for GWAS in disease sub-categories. GO categories significantly enriched among significant disease groupings of GWAS results. Studies included in disease groups are identified in Additional file 3.
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Additional file 6:
Formatted files for more than 400 GWAS analyses that can be used to upload and browse results in UCSC Genome Browser using Genome Graphs. This archive file contains Genome Graph files for all GWAS associations contained in Additional files 2 and 4. The files within the archive can be used to visualize GWAS associations described here using UCSC Genome Graphs http://genome.ucsc.edu/cgi-bin/hgGenome webcite at regional, chromosomal and whole genome levels. A file "README.txt" describes file naming conventions. The file "JohnsonODonnell_ALLgwas_graph.txt" contains a single Genome Graph file containing all associations.
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