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; Naomi R. Wray

doi:10.1038/s41467-019-09572-5

Nature Communications (Apr 2019)

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,
Naomi R. Wray

Affiliations

Yeda Wu: Institute for Molecular Bioscience, The University of Queensland
Enda M. Byrne: Institute for Molecular Bioscience, The University of Queensland
Zhili Zheng: Institute for Molecular Bioscience, The University of Queensland
Kathryn E. Kemper: Institute for Molecular Bioscience, The University of Queensland
Loic Yengo: Institute for Molecular Bioscience, The University of Queensland
Andrew J. Mallett: Institute for Molecular Bioscience, The University of Queensland
Jian Yang: Institute for Molecular Bioscience, The University of Queensland
Peter M. Visscher: Institute for Molecular Bioscience, The University of Queensland
Naomi R. Wray: Institute for Molecular Bioscience, The University of Queensland

DOI: https://doi.org/10.1038/s41467-019-09572-5
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 10

Abstract

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An understanding of the genetic variants associated with medication use may shed light on the underlying biological pathways of disease, and aid in drug development. Here, Wu and colleagues conduct a GWAS for self-reported medication-use in the UK Biobank, finding more than 500 independent variants and many promising leads for future work.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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