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A. and Spector, Timothy D. and Stefansson, Kari and Stumvoll, Michael and Tremblay, Angelo and Tuomilehto, Jaakko and Uitterlinden, Andre G. and Uusitupa, Matti and Voelker, Uwe and Vollenweider, Peter and Wareham, Nicholas J. and Watkins, Hugh and Wilson, James F. and Zeggini, Eleftheria and Abecasis, Goncalo R. and Boehnke, Michael and Borecki, Ingrid B. and Deloukas, Panos and van Duijn, Cornelia M. and Fox, Caroline and Groop, Leif C. and Heid, Iris M. and Hunter, David J. and Kaplan, Robert C. and McCarthy, Mark I. and North, Kari E. and O'Connell, Jeffrey R. and Schlessinger, David and Thorsteinsdottir, Unnur and Strachan, David P. and Frayling, Timothy and Hirschhorn, Joel N. and Mueller-Nurasyid, Martina and Loos, Ruth J. F. (2016) A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. NATURE COMMUNICATIONS, 7: 13357. ISSN 2041-1723,
Full text not available from this repository. (Request a copy)Abstract
Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | GENOME-WIDE ASSOCIATION; DIET-INDUCED OBESITY; MASS INDEX; DISEASE ASSOCIATIONS; FAT DISTRIBUTION; EARLY-ONSET; HIP RATIO; RESOURCE; BIOLOGY; HEIGHT; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Abteilung für Nephrologie Medicine > Institut für Epidemiologie und Präventivmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 12 Apr 2019 10:06 |
| Last Modified: | 12 Apr 2019 10:06 |
| URI: | https://pred.uni-regensburg.de/id/eprint/3935 |
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