Genome-wide association study of medication-use and associated disease in the UK Biobank
Yeda Wu,
Enda M. Byrne,
Zhili Zheng,
Kathryn E. Kemper,
Loic Yengo,
Andrew J. Mallett,
Jian Yang,
Peter M. Visscher () and
Naomi R. Wray ()
Additional contact information
Yeda Wu: The University of Queensland
Enda M. Byrne: The University of Queensland
Zhili Zheng: The University of Queensland
Kathryn E. Kemper: The University of Queensland
Loic Yengo: The University of Queensland
Andrew J. Mallett: The University of Queensland
Jian Yang: The University of Queensland
Peter M. Visscher: The University of Queensland
Naomi R. Wray: The University of Queensland
Nature Communications, 2019, vol. 10, issue 1, 1-10
Abstract:
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
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09572-5
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DOI: 10.1038/s41467-019-09572-5
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