Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.

Fiche du document

Auteurs
Date

2013

Type de document
Périmètre
Langue
Identifiants
Relations

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1038/ng.2606

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/23563607

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1546-1718

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_F9E9DAD09C650

Licences

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



Citer ce document

S.I. Berndt et al., « Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. », Serveur académique Lausannois, ID : 10.1038/ng.2606


Métriques


Partage / Export

Résumé 0

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines

Exporter en