A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context

A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context

Genome-wide association studies of metabolites have revealed hundreds of genetic associations using univariate analyses. Here, the authors use a multivariate approach to perform association analyses for 158 serum metabolites, followed by fine mapping and GxE interaction tests with statin use and age...

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Autores principales: Apolline Gallois, Joel Mefford, Arthur Ko, Amaury Vaysse, Hanna Julienne, Mika Ala-Korpela, Markku Laakso, Noah Zaitlen, Päivi Pajukanta, Hugues Aschard
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/18f5d61c166a4f04bdb8979fa46f9cb9
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spelling oai:doaj.org-article:18f5d61c166a4f04bdb8979fa46f9cb92021-12-02T14:39:02ZA comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context10.1038/s41467-019-12703-72041-1723https://doaj.org/article/18f5d61c166a4f04bdb8979fa46f9cb92019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12703-7https://doaj.org/toc/2041-1723Genome-wide association studies of metabolites have revealed hundreds of genetic associations using univariate analyses. Here, the authors use a multivariate approach to perform association analyses for 158 serum metabolites, followed by fine mapping and GxE interaction tests with statin use and age.Apolline GalloisJoel MeffordArthur KoAmaury VaysseHanna JulienneMika Ala-KorpelaMarkku LaaksoNoah ZaitlenPäivi PajukantaHugues AschardNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Apolline Gallois
Joel Mefford
Arthur Ko
Amaury Vaysse
Hanna Julienne
Mika Ala-Korpela
Markku Laakso
Noah Zaitlen
Päivi Pajukanta
Hugues Aschard
A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
description Genome-wide association studies of metabolites have revealed hundreds of genetic associations using univariate analyses. Here, the authors use a multivariate approach to perform association analyses for 158 serum metabolites, followed by fine mapping and GxE interaction tests with statin use and age.
format article
author Apolline Gallois
Joel Mefford
Arthur Ko
Amaury Vaysse
Hanna Julienne
Mika Ala-Korpela
Markku Laakso
Noah Zaitlen
Päivi Pajukanta
Hugues Aschard
author_facet Apolline Gallois
Joel Mefford
Arthur Ko
Amaury Vaysse
Hanna Julienne
Mika Ala-Korpela
Markku Laakso
Noah Zaitlen
Päivi Pajukanta
Hugues Aschard
author_sort Apolline Gallois
title A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
title_short A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
title_full A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
title_fullStr A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
title_full_unstemmed A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
title_sort comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/18f5d61c166a4f04bdb8979fa46f9cb9
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