Multitrait GWAS to connect disease variants and biological mechanisms.

Bibliographic Details
Title:	Multitrait GWAS to connect disease variants and biological mechanisms.
Authors:	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
Source:	PLoS Genetics, Vol 17, Iss 8, p e1009713 (2021)
Publisher Information:	Public Library of Science (PLoS), 2021.
Publication Year:	2021
Collection:	LCC:Genetics
Subject Terms:	Genetics, QH426-470
More Details:	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.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	1553-7390 1553-7404
Relation:	https://doaj.org/toc/1553-7390; https://doaj.org/toc/1553-7404
DOI:	10.1371/journal.pgen.1009713
Access URL:	https://doaj.org/article/5c9ea5db0c81433a97c3f01fff044602
Accession Number:	edsdoj.5c9ea5db0c81433a97c3f01fff044602
Database:	Directory of Open Access Journals

More Details
ISSN:	15537390 15537404
DOI:	10.1371/journal.pgen.1009713
Published in:	PLoS Genetics
Language:	English