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

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Auteurs
Date

2014

Type de document
Périmètre
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Source

Serveur académique Lausannois

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Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pgen.1004132

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/24586186

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1553-7404

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_018C0E67910C9

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Serveur Académique Lausannois

Organisation

Université de Lausanne et CHUV

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info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer

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illness

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R. Rueedi et al., « Genome-wide association study of metabolic traits reveals novel gene-metabolite-disease links. », Serveur académique Lausannois, ID : 10.1371/journal.pgen.1004132

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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

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