Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/88602
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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
1546-1718
Statement of
Responsibility: 
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.
DOI: 10.1038/ng.2606
Grant ID: http://purl.org/au-research/grants/nhmrc/241944
http://purl.org/au-research/grants/nhmrc/389875
http://purl.org/au-research/grants/nhmrc/389891
http://purl.org/au-research/grants/nhmrc/389892
http://purl.org/au-research/grants/nhmrc/389938
http://purl.org/au-research/grants/nhmrc/442915
http://purl.org/au-research/grants/nhmrc/442981
http://purl.org/au-research/grants/nhmrc/496739
http://purl.org/au-research/grants/nhmrc/496688
http://purl.org/au-research/grants/nhmrc/552485
http://purl.org/au-research/grants/nhmrc/613672
http://purl.org/au-research/grants/nhmrc/613601
http://purl.org/au-research/grants/nhmrc/1011506
http://purl.org/au-research/grants/arc/DP0770096
http://purl.org/au-research/grants/arc/DP1093900
Published version: http://dx.doi.org/10.1038/ng.2606
Appears in Collections:Aurora harvest 7
Translational Health Science publications

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