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GWAS Central: a Comprehensive Resource for the Comparison and Interrogation of Genome-wide Association Studies

Overview
Journal Eur J Hum Genet
Specialty Genetics
Date 2013 Dec 5
PMID 24301061
Citations 93
Authors
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Abstract

To facilitate broad and convenient integrative visualization of and access to GWAS data, we have created the GWAS Central resource (http://www.gwascentral.org). This database seeks to provide a comprehensive collection of summary-level genetic association data, structured both for maximal utility and for safe open access (i.e., non-directional signals to fully preclude research subject identification). The resource emphasizes on advanced tools that allow comparison and discovery of relevant data sets from the perspective of genes, genome regions, phenotypes or traits. Tested markers and relevant genomic features can be visually interrogated across up to 16 multiple association data sets in a single view, starting at a chromosome-wide view and increasing in resolution down to individual bases. In addition, users can privately upload and view their own data as temporary files. Search and display utility is further enhanced by exploiting phenotype ontology annotations to allow genetic variants associated with phenotypes and traits of interest to be precisely identified, across all studies. Data submissions are accepted from individual researchers, groups and consortia, whereas we also actively gather data sets from various public sources. As a result, the resource now provides over 67 million P-values for over 1600 studies, making it the world's largest openly accessible online collection of summary-level GWAS association information.

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References
1.
Kasprzyk A . BioMart: driving a paradigm change in biological data management. Database (Oxford). 2011; 2011:bar049. PMC: 3215098. DOI: 10.1093/database/bar049. View

2.
Mailman M, Feolo M, Jin Y, Kimura M, Tryka K, Bagoutdinov R . The NCBI dbGaP database of genotypes and phenotypes. Nat Genet. 2007; 39(10):1181-6. PMC: 2031016. DOI: 10.1038/ng1007-1181. View

3.
Cariaso M, Lennon G . SNPedia: a wiki supporting personal genome annotation, interpretation and analysis. Nucleic Acids Res. 2011; 40(Database issue):D1308-12. PMC: 3245045. DOI: 10.1093/nar/gkr798. View

4.
Hindorff L, Sethupathy P, Junkins H, Ramos E, Mehta J, Collins F . Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci U S A. 2009; 106(23):9362-7. PMC: 2687147. DOI: 10.1073/pnas.0903103106. View

5.
Thorisson G, Lancaster O, Free R, Hastings R, Sarmah P, Dash D . HGVbaseG2P: a central genetic association database. Nucleic Acids Res. 2008; 37(Database issue):D797-802. PMC: 2686551. DOI: 10.1093/nar/gkn748. View