Disease areas:
  • bones, joints and muscles
  • gut health
  • heart and blood vessels
  • mental health
Last updated:
Author(s):
Yeda Wu, Enda M. Byrne, Zhili Zheng, Kathryn E. Kemper, Loic Yengo, Andrew J. Mallett, Jian Yang, Peter M. Visscher, Naomi R. Wray
Publish date:
23 April 2019
Journal:
Nature Communications
PubMed ID:
31015401

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).

Related projects

Results from genome-wide association studies (GWAS) have proven valuable for understanding the genetic architecture of complex traits and are potentially valuable for predicting disease risk.

Institution:
University of Queensland, Australia

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