Genetic Susceptibility to Obesity and Related Traits in Childhood and Adolescence

  • Marcel den Hoed
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Ulf Ekelund
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Søren Brage
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Anders Grontved
    Institute of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Jing Hua Zhao
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Stephen J. Sharp
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Ken K. Ong
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Nicholas J. Wareham
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;
  • Ruth J.F. Loos
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Cambridge, U.K.;

書誌事項

公開日
2010-08-19
権利情報
  • http://creativecommons.org/licenses/by-nc-nd/3.0/
DOI
  • 10.2337/db10-0370
公開者
American Diabetes Association

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説明

<jats:sec> <jats:title>OBJECTIVE</jats:title> <jats:p>Large-scale genome-wide association (GWA) studies have thus far identified 16 loci incontrovertibly associated with obesity-related traits in adults. We examined associations of variants in these loci with anthropometric traits in children and adolescents.</jats:p> </jats:sec> <jats:sec> <jats:title>RESEARCH DESIGN AND METHODS</jats:title> <jats:p>Seventeen variants representing 16 obesity susceptibility loci were genotyped in 1,252 children (mean ± SD age 9.7 ± 0.4 years) and 790 adolescents (15.5 ± 0.5 years) from the European Youth Heart Study (EYHS). We tested for association of individual variants and a genetic predisposition score (GPS-17), calculated by summing the number of effect alleles, with anthropometric traits. For 13 variants, summary statistics for associations with BMI were meta-analyzed with previously reported data (Ntotal = 13,071 children and adolescents).</jats:p> </jats:sec> <jats:sec> <jats:title>RESULTS</jats:title> <jats:p>In EYHS, 15 variants showed associations or trends with anthropometric traits that were directionally consistent with earlier reports in adults. The meta-analysis showed directionally consistent associations with BMI for all 13 variants, of which 9 were significant (0.033–0.098 SD/allele; P &lt; 0.05). The near-TMEM18 variant had the strongest effect (0.098 SD/allele P = 8.5 × 10−11). Effect sizes for BMI tended to be more pronounced in children and adolescents than reported earlier in adults for variants in or near SEC16B, TMEM18, and KCTD15, (0.028–0.035 SD/allele higher) and less pronounced for rs925946 in BDNF (0.028 SD/allele lower). Each additional effect allele in the GPS-17 was associated with an increase of 0.034 SD in BMI (P = 3.6 × 10−5), 0.039 SD, in sum of skinfolds (P = 1.7 × 10−7), and 0.022 SD in waist circumference (P = 1.7 × 10−4), which is comparable with reported results in adults (0.039 SD/allele for BMI and 0.033 SD/allele for waist circumference).</jats:p> </jats:sec> <jats:sec> <jats:title>CONCLUSIONS</jats:title> <jats:p>Most obesity susceptibility loci identified by GWA studies in adults are already associated with anthropometric traits in children/adolescents. Whereas the association of some variants may differ with age, the cumulative effect size is similar.</jats:p> </jats:sec>

収録刊行物

  • Diabetes

    Diabetes 59 (11), 2980-2988, 2010-08-19

    American Diabetes Association

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