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Type: Journal article
Title: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
Author: Berndt, S.
Gustafsson, S.
Mägi, R.
Ganna, A.
Wheeler, E.
Feitosa, M.
Justice, A.
Monda, K.
Croteau-Chonka, D.
Day, F.
Esko, T.
Fall, T.
Ferreira, T.
Gentilini, D.
Jackson, A.
Luan, J.
Randall, J.
Vedantam, S.
Willer, C.
Winkler, T.
et al.
Citation: Nature Genetics, 2013; 45(5):501-512
Publisher: Nature Publishing Group
Issue Date: 2013
ISSN: 1061-4036
Statement of
Sonja I Berndt ... Lyle J Palmer ... et al.
Abstract: 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.
Keywords: Humans; Obesity; Genetic Predisposition to Disease; Anthropometry; Body Mass Index; Body Height; Waist-Hip Ratio; Case-Control Studies; Genotype; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; European Continental Ancestry Group; Meta-Analysis as Topic; Genome-Wide Association Study
Rights: © 2013 Nature America, Inc. All rights reserved.
RMID: 0020137908
DOI: 10.1038/ng.2606
Grant ID:
Appears in Collections:Translational Health Science publications

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