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Genome-wide association study of metabolic traits reveals novel gene-metabolite-disease links.

Authors :
Rico Rueedi
Mirko Ledda
Andrew W Nicholls
Reza M Salek
Pedro Marques-Vidal
Edgard Morya
Koichi Sameshima
Ivan Montoliu
Laeticia Da Silva
Sebastiano Collino
François-Pierre Martin
Serge Rezzi
Christoph Steinbeck
Dawn M Waterworth
Gérard Waeber
Peter Vollenweider
Jacques S Beckmann
Johannes Le Coutre
Vincent Mooser
Sven Bergmann
Ulrich K Genick
Zoltán Kutalik
Source :
PLoS Genetics, Vol 10, Iss 2, p e1004132 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

Metabolic traits are molecular phenotypes that can drive clinical phenotypes and may predict disease progression. Here, we report results from a metabolome- and genome-wide association study on (1)H-NMR urine metabolic profiles. The study was conducted within an untargeted approach, employing a novel method for compound identification. From our discovery cohort of 835 Caucasian individuals who participated in the CoLaus study, we identified 139 suggestively significant (P

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
10
Issue :
2
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.41b8c1c4de3d4ac58249d128261afc41
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1004132