Multitrait GWAS to connect disease variants and biological mechanisms.

Genome-wide association studies (GWASs) have uncovered a wealth of associations between common variants and human phenotypes. Here, we present an integrative analysis of GWAS summary statistics from 36 phenotypes to decipher multitrait genetic architecture and its link with biological mechanisms. Ou...

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Autores principales:	Hanna Julienne, Vincent Laville, Zachary R McCaw, Zihuai He, Vincent Guillemot, Carla Lasry, Andrey Ziyatdinov, Cyril Nerin, Amaury Vaysse, Pierre Lechat, Hervé Ménager, Wilfried Le Goff, Marie-Pierre Dube, Peter Kraft, Iuliana Ionita-Laza, Bjarni J Vilhjálmsson, Hugues Aschard
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Genetics QH426-470
Acceso en línea:	https://doaj.org/article/5c9ea5db0c81433a97c3f01fff044602
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id	oai:doaj.org-article:5c9ea5db0c81433a97c3f01fff044602
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spelling	oai:doaj.org-article:5c9ea5db0c81433a97c3f01fff0446022021-12-02T20:03:22ZMultitrait GWAS to connect disease variants and biological mechanisms.1553-73901553-740410.1371/journal.pgen.1009713https://doaj.org/article/5c9ea5db0c81433a97c3f01fff0446022021-08-01T00:00:00Zhttps://doi.org/10.1371/journal.pgen.1009713https://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404Genome-wide association studies (GWASs) have uncovered a wealth of associations between common variants and human phenotypes. Here, we present an integrative analysis of GWAS summary statistics from 36 phenotypes to decipher multitrait genetic architecture and its link with biological mechanisms. Our framework incorporates multitrait association mapping along with an investigation of the breakdown of genetic associations into clusters of variants harboring similar multitrait association profiles. Focusing on two subsets of immunity and metabolism phenotypes, we then demonstrate how genetic variants within clusters can be mapped to biological pathways and disease mechanisms. Finally, for the metabolism set, we investigate the link between gene cluster assignment and the success of drug targets in randomized controlled trials.Hanna JulienneVincent LavilleZachary R McCawZihuai HeVincent GuillemotCarla LasryAndrey ZiyatdinovCyril NerinAmaury VayssePierre LechatHervé MénagerWilfried Le GoffMarie-Pierre DubePeter KraftIuliana Ionita-LazaBjarni J VilhjálmssonHugues AschardPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 17, Iss 8, p e1009713 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Genetics QH426-470
spellingShingle	Genetics QH426-470 Hanna Julienne Vincent Laville Zachary R McCaw Zihuai He Vincent Guillemot Carla Lasry Andrey Ziyatdinov Cyril Nerin Amaury Vaysse Pierre Lechat Hervé Ménager Wilfried Le Goff Marie-Pierre Dube Peter Kraft Iuliana Ionita-Laza Bjarni J Vilhjálmsson Hugues Aschard Multitrait GWAS to connect disease variants and biological mechanisms.
description	Genome-wide association studies (GWASs) have uncovered a wealth of associations between common variants and human phenotypes. Here, we present an integrative analysis of GWAS summary statistics from 36 phenotypes to decipher multitrait genetic architecture and its link with biological mechanisms. Our framework incorporates multitrait association mapping along with an investigation of the breakdown of genetic associations into clusters of variants harboring similar multitrait association profiles. Focusing on two subsets of immunity and metabolism phenotypes, we then demonstrate how genetic variants within clusters can be mapped to biological pathways and disease mechanisms. Finally, for the metabolism set, we investigate the link between gene cluster assignment and the success of drug targets in randomized controlled trials.
format	article
author	Hanna Julienne Vincent Laville Zachary R McCaw Zihuai He Vincent Guillemot Carla Lasry Andrey Ziyatdinov Cyril Nerin Amaury Vaysse Pierre Lechat Hervé Ménager Wilfried Le Goff Marie-Pierre Dube Peter Kraft Iuliana Ionita-Laza Bjarni J Vilhjálmsson Hugues Aschard
author_facet	Hanna Julienne Vincent Laville Zachary R McCaw Zihuai He Vincent Guillemot Carla Lasry Andrey Ziyatdinov Cyril Nerin Amaury Vaysse Pierre Lechat Hervé Ménager Wilfried Le Goff Marie-Pierre Dube Peter Kraft Iuliana Ionita-Laza Bjarni J Vilhjálmsson Hugues Aschard
author_sort	Hanna Julienne
title	Multitrait GWAS to connect disease variants and biological mechanisms.
title_short	Multitrait GWAS to connect disease variants and biological mechanisms.
title_full	Multitrait GWAS to connect disease variants and biological mechanisms.
title_fullStr	Multitrait GWAS to connect disease variants and biological mechanisms.
title_full_unstemmed	Multitrait GWAS to connect disease variants and biological mechanisms.
title_sort	multitrait gwas to connect disease variants and biological mechanisms.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5c9ea5db0c81433a97c3f01fff044602
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Multitrait GWAS to connect disease variants and biological mechanisms.

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