Genome-wide association study of medication-use and associated disease in the UK Biobank

Wu, Yeda, Byrne, Enda M., Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Mallett, Andrew J., Yang, Jian, Visscher, Peter M., and Wray, Naomi R. (2019) Genome-wide association study of medication-use and associated disease in the UK Biobank. Nature Communications, 10. 1891.

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Abstract

Genome-wide association studies (GWASs) of medication use may contribute to understanding of disease etiology, could generate new leads relevant for drug discovery and can be used to quantify future risk of medication taking. Here, we conduct GWASs of self-reported medication use from 23 medication categories in approximately 320,000 individuals from the UK Biobank. A total of 505 independent genetic loci that meet stringent criteria (P < 10−8/23) for statistical significance are identified. We investigate the implications of these GWAS findings in relation to biological mechanism, potential drug target identification and genetic risk stratification of disease. Amongst the medication-associated genes are 16 known therapeutic-effect target genes for medications from 9 categories. Two of the medication classes studied are for disorders that have not previously been subject to large GWAS (hypothyroidism and gastro-oesophageal reflux disease).

Item ID: 67866
Item Type: Article (Research - C1)
ISSN: 2041-1723
Copyright Information: © The Author(s) 2019.Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Funders: National Health and Medical Research Council (NHMRC)
Projects and Grants: 1113400, 1078901, 1078037
Research Data: http://www.ukbiobank.ac.uk/about-biobank-uk/
Date Deposited: 10 Sep 2021 06:09
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320213 Medical genetics (excl. cancer genetics) @ 80%
32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320214 Nephrology and urology @ 20%
SEO Codes: 20 HEALTH > 2001 Clinical health > 200105 Treatment of human diseases and conditions @ 100%
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