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

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...

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Autores principales:	Yeda Wu, Enda M. Byrne, Zhili Zheng, Kathryn E. Kemper, Loic Yengo, Andrew J. Mallett, Jian Yang, Peter M. Visscher, Naomi R. Wray
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7a2b184ba1cd45c1aa138f729b16fae8
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spelling	oai:doaj.org-article:7a2b184ba1cd45c1aa138f729b16fae82021-12-02T17:01:34ZGenome-wide association study of medication-use and associated disease in the UK Biobank10.1038/s41467-019-09572-52041-1723https://doaj.org/article/7a2b184ba1cd45c1aa138f729b16fae82019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09572-5https://doaj.org/toc/2041-1723An 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.Yeda WuEnda M. ByrneZhili ZhengKathryn E. KemperLoic YengoAndrew J. MallettJian YangPeter M. VisscherNaomi R. WrayNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yeda Wu Enda M. Byrne Zhili Zheng Kathryn E. Kemper Loic Yengo Andrew J. Mallett Jian Yang Peter M. Visscher Naomi R. Wray Genome-wide association study of medication-use and associated disease in the UK Biobank
description	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.
format	article
author	Yeda Wu Enda M. Byrne Zhili Zheng Kathryn E. Kemper Loic Yengo Andrew J. Mallett Jian Yang Peter M. Visscher Naomi R. Wray
author_facet	Yeda Wu Enda M. Byrne Zhili Zheng Kathryn E. Kemper Loic Yengo Andrew J. Mallett Jian Yang Peter M. Visscher Naomi R. Wray
author_sort	Yeda Wu
title	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_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_sort	genome-wide association study of medication-use and associated disease in the uk biobank
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/7a2b184ba1cd45c1aa138f729b16fae8
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Genome-wide association study of medication-use and associated disease in the UK Biobank

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