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GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies

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posted on 2023-04-21, 15:34 authored by Tim Beck, Thomas Rowlands, Tom Shorter, Anthony J Brookes
The GWAS Central resource gathers and curates extensive summary-level genome-wide association study (GWAS) data and puts a range of user-friendly but powerful website tools for the comparison and visualisation of GWAS data at the fingertips of researchers. Through our continued efforts to harmonise and import data received from GWAS authors and consortia, and data sets actively collected from public sources, the database now contains over 72.5 million P-values for over 5000 studies testing over 7.4 million unique genetic markers investigating over 1700 unique phenotypes. Here, we describe an update to integrate this extensive data collection with mouse disease model data to support insights into the functional impact of human genetic variation. GWAS Central has expanded to include mouse gene-phenotype associations observed during mouse gene knockout screens. To allow similar cross-species phenotypes to be compared, terms from mammalian and human phenotype ontologies have been mapped. New interactive interfaces to find, correlate and view human and mouse genotype-phenotype associations are included in the website toolkit. Additionally, the integrated browser for interrogating multiple association data sets has been updated and a GA4GH Beacon API endpoint has been added for discovering variants tested in GWAS. The GWAS Central resource is accessible at https://www.gwascentral.org/.

Funding

Health Data Research (HDR) UK; Medical Research Council via an UKRI Innovation Fellowship-[MR/S003703/1 to T.B.].

History

Citation

Tim Beck, Thomas Rowlands, Tom Shorter, Anthony J Brookes, GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies, Nucleic Acids Research, Volume 51, Issue D1, 6 January 2023, Pages D986–D993, https://doi.org/10.1093/nar/gkac1017

Author affiliation

Department of Genetics and Genome Biology

Version

  • VoR (Version of Record)

Published in

NUCLEIC ACIDS RESEARCH

Volume

51

Issue

D1

Pagination

D986 - D993

Publisher

OXFORD UNIV PRESS

issn

0305-1048

eissn

1362-4962

Acceptance date

2022-10-20

Copyright date

2022

Available date

2023-04-21

Spatial coverage

England

Language

English

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