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Genome-wide association study of medication-use and associated disease in the UK Biobank
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478889/ https://www.ncbi.nlm.nih.gov/pubmed/31015401 http://dx.doi.org/10.1038/s41467-019-09572-5 |
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author | Wu, Yeda Byrne, Enda M. Zheng, Zhili Kemper, Kathryn E. Yengo, Loic Mallett, Andrew J. Yang, Jian Visscher, Peter M. Wray, Naomi R. |
author_facet | Wu, Yeda Byrne, Enda M. Zheng, Zhili Kemper, Kathryn E. Yengo, Loic Mallett, Andrew J. Yang, Jian Visscher, Peter M. Wray, Naomi R. |
author_sort | Wu, Yeda |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-6478889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64788892019-04-25 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. Wray, Naomi R. Nat Commun Article 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). Nature Publishing Group UK 2019-04-23 /pmc/articles/PMC6478889/ /pubmed/31015401 http://dx.doi.org/10.1038/s41467-019-09572-5 Text en © 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wu, Yeda Byrne, Enda M. Zheng, Zhili Kemper, Kathryn E. Yengo, Loic Mallett, Andrew J. Yang, Jian Visscher, Peter M. Wray, Naomi R. Genome-wide association study of medication-use and associated disease in the UK Biobank |
title | Genome-wide association study of medication-use and associated disease in the UK Biobank |
title_full | Genome-wide association study of medication-use and associated disease in the UK Biobank |
title_fullStr | Genome-wide association study of medication-use and associated disease in the UK Biobank |
title_full_unstemmed | Genome-wide association study of medication-use and associated disease in the UK Biobank |
title_short | Genome-wide association study of medication-use and associated disease in the UK Biobank |
title_sort | genome-wide association study of medication-use and associated disease in the uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478889/ https://www.ncbi.nlm.nih.gov/pubmed/31015401 http://dx.doi.org/10.1038/s41467-019-09572-5 |
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