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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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