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      Rare variant associations with waist-to-hip ratio in European-American and African-American women from the NHLBI-Exome Sequencing Project

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      1 , 2 , 3 , 1 , 1 , 1 , 1 , 1 , 4 , 5 , 6 , 7 , 8 , 9 , 5 , 6 , 6 , 10 , 11 , 6 , 12 , 13 , 10 , 7 , 8 , 14 , 15 , 16 , 11 , 17 , 3 , 18 , 19 , 3 , 20 , 3 , 21 , 22 , 11 , 22 , 10 , 20 , 4 , 3 , 15 , NHLBI-Exome Sequencing Project, 1 , *
      European Journal of Human Genetics
      Nature Publishing Group

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          Abstract

          Waist-to-hip ratio (WHR), a relative comparison of waist and hip circumferences, is an easily accessible measurement of body fat distribution, in particular central abdominal fat. A high WHR indicates more intra-abdominal fat deposition and is an established risk factor for cardiovascular disease and type 2 diabetes. Recent genome-wide association studies have identified numerous common genetic loci influencing WHR, but the contributions of rare variants have not been previously reported. We investigated rare variant associations with WHR in 1510 European-American and 1186 African-American women from the National Heart, Lung, and Blood Institute-Exome Sequencing Project. Association analysis was performed on the gene level using several rare variant association methods. The strongest association was observed for rare variants in IKBKB ( P=4.0 × 10 −8) in European-Americans, where rare variants in this gene are predicted to decrease WHRs. The activation of the IKBKB gene is involved in inflammatory processes and insulin resistance, which may affect normal food intake and body weight and shape. Meanwhile, aggregation of rare variants in COBLL1, previously found to harbor common variants associated with WHR and fasting insulin, were nominally associated ( P=2.23 × 10 −4) with higher WHR in European-Americans. However, these significant results are not shared between African-Americans and European-Americans that may be due to differences in the allelic architecture of the two populations and the small sample sizes. Our study indicates that the combined effect of rare variants contribute to the inter-individual variation in fat distribution through the regulation of insulin response.

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          Author and article information

          Journal
          Eur J Hum Genet
          Eur. J. Hum. Genet
          European Journal of Human Genetics
          Nature Publishing Group
          1018-4813
          1476-5438
          August 2016
          13 January 2016
          : 24
          : 8
          : 1181-1187
          Affiliations
          [1 ] Center for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX, USA
          [2 ] Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Graduate School of Chinese Academy of Sciences, Chinese Academy of Sciences , Shanghai, China
          [3 ] Public Health Sciences Division, Fred Hutchinson Cancer Research Center , Seattle, WA, USA
          [4 ] Department of Genetics, University of North Carolina , Chapel Hill, NC, USA
          [5 ] Department of Biostatistics, Boston University School of Public Health , Boston, MA, USA
          [6 ] National Heart, Lung and Blood Institute's Framingham Heart Study , Framingham, MA, USA
          [7 ] Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, at Harbor-UCLA Medical Center , Torrance, CA, USA
          [8 ] Department of Pediatrics, at Harbor-UCLA Medical Center , Torrance, CA, USA
          [9 ] Department of Medicine, at Harbor-UCLA Medical Center , Torrance, CA, USA
          [10 ] Division of Epidemiology and Community Health, University of Minnesota School of Public Health , Minneapolis, MN, USA
          [11 ] Department of Genome Sciences, University of Washington , Seattle, WA, USA
          [12 ] Department of Neurology, Boston University School of Medicine , Boston, MA, USA
          [13 ] General Medicine Division, Massachusetts General Hospital and Harvard Medical School , Boston, MA, USA
          [14 ] Department of Medicine, University of Washington , Seattle, WA, USA
          [15 ] Department of Epidemiology, School of Public Health, University of Washington , Seattle, WA, USA
          [16 ] Department of Physiology and Biophysics, University of Mississippi Medical Center , Jackson, MS, USA
          [17 ] Center for Clinical and Translational Science, Ohio State University , Columbus, OH, USA
          [18 ] Division of Biostatistics, Departments of Environmental Medicine and Population Health, NYU Langone Medical Center , New York, NY, USA
          [19 ] Department of Biostatistics, University of North Carolina , Chapel Hill, NC, USA
          [20 ] Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina , Chapel Hill, NC, USA
          [21 ] Center for Statistical Genetics, Department of Biostatistics, University of Michigan , Ann Arbor, MI, USA
          [22 ] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT , Cambridge, MA, USA
          Author notes
          [* ] Center for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine , One Baylor Plaza, 700D, Houston, TX 77030, USA. Tel: +1 713 798 4011; Fax: +1 713 798 4373; E-mail: sleal@ 123456bcm.edu
          [23]

          These authors contributed equally to this work.

          [24]

          Current address: School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA.

          [25]

          Current address: Gene Mapping Group, Universidad de Antioquia, Medellin 050010, Colombia.

          Article
          PMC4970686 PMC4970686 4970686 ejhg2015272
          10.1038/ejhg.2015.272
          4970686
          26757982
          44cb856f-97d1-4325-9c4b-2461448f3b66
          Copyright © 2016 Macmillan Publishers Limited
          History
          : 06 April 2015
          : 10 November 2015
          : 26 November 2015
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