Unknown

Dataset Information

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


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<5×10(-8)) and independent associations between single nucleotide polymorphisms (SNP) and metabolome features. Fifty-six of these associations replicated in the TasteSensomics cohort, comprising 601 individuals from São Paulo of vastly diverse ethnic background. They correspond to eleven gene-metabolite associations, six o

SUBMITTER: Rueedi R 

PROVIDER: S-EPMC3930510 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature