Catalog of Published Genome-Wide Association Studies

National Human Genome Research Institute

National Institutes of Health
U.S. Department of Health and Human Services

Division of Genomic Medicine

A Catalog of Published Genome-Wide Association Studies

Sound file Current uses of and future directions for the Genome-Wide Association Studies Catalog
On Thursday, July 18th, 2013, the Division of Genomic Medicine held a webinar to highlight current uses and explore  priorities and future directions for the GWAS catalog. See archived video and presentations.

The NHGRI GWAS Catalog, a curated resource of SNP-trait associationsPDF file
Click here to read our recent article from the Nucleic Acids Research Database Issue.

Potential etiologic and functional implications of genome-wide association loci for human diseases and traitsPDF file
Click here to read our Proceedings of the Academy of Sciences (PNAS) article on catalog methods and analysis.

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Published Genome-Wide Associations
Credit: Darryl Leja and Teri Manolio, NHGRI; Tony Burdett, Dani Welter, and Helen Parkinson, EBI

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Published GWA Reports, 2005-6/2012
Credit: Teri Manolio

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The genome-wide association study (GWAS) publications listed here include only those attempting to assay at least 100,000 single nucleotide polymorphisms (SNPs) in the initial stage. Publications are organized from most to least recent date of publication, indexing from online publication if available. Studies focusing only on candidate genes are excluded from this catalog. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator).

SNP-trait associations listed here are limited to those with p-values < 1.0 x 10-5 (see full methods for additional details). Multipliers of powers of 10 in p-values are rounded to the nearest single digit; odds ratios and allele frequencies are rounded to two decimals. Standard errors are converted to 95 percent confidence intervals where applicable. Allele frequencies, p-values, and odds ratios derived from the largest sample size, typically a combined analysis (initial plus replication studies), are recorded below if reported; otherwise statistics from the initial study sample are recorded. For quantitative traits, information on % variance explained, SD increment, or unit difference is reported where available. Odds ratios < 1 in the original paper are converted to OR > 1 for the alternate allele. Where results from multiple genetic models are available, we prioritized effect sizes (OR's or beta-coefficients) as follows: 1) genotypic model, per-allele estimate; 2) genotypic model, heterozygote estimate, 3) allelic model, allelic estimate.

Gene regions corresponding to SNPs were identified from the UCSC Genome Browser. Gene names and risk alleles are those reported by the authors in the original paper. Only one SNP within a gene or region of high linkage disequilibrium is recorded unless there was evidence of independent association.

Occasionally the term "pending" is used to denote one or more studies that we identified as an eligible GWAS, but for which SNP information has not yet been extracted; studies of CNVs are also noted as pending.

How to cite the NHGRI GWAS Catalog:
Hindorff LA, MacArthur J (European Bioinformatics Institute), Morales J (European Bioinformatics Institute), Junkins HA, Hall PN, Klemm AK, and Manolio TA. A Catalog of Published Genome-Wide Association Studies. Available at: Accessed [date of access].

How to cite the NHGRI GWAS Catalog paper:
Welter D, MacArthur J, Morales J, Burdett T, Hall P, Junkins H, Klemm A, Flicek P, Manolio T, Hindorff L, and Parkinson H. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Research, 2014, Vol. 42 (Database issue): D1001-D1006.

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      The SNP data in the catalog has been mapped to dbSNP Build 141 and Genome Assembly, GRCh38/hg38.


As of 10/21/14, the catalog includes 1998 publications and 14387 SNPs.

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Last Updated: October 21, 2014