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Obesity-Related Genetic Variants and their Associations with Physical Activity

  • Harold Lee
  • , Garrett I. Ash
  • , Theodore J. Angelopoulos
  • , Paul M. Gordon
  • , Niall M. Moyna
  • , Paul S. Visich
  • , Robert F. Zoeller
  • , Heather Gordish-Dressman
  • , Ved Deshpande
  • , Ming Hui Chen
  • , Paul D. Thompson
  • , Eric P. Hoffman
  • , Joseph M. Devaney
  • , Linda S. Pescatello
  • Brown University
  • University of Connecticut
  • Emory & Henry College
  • Baylor University
  • Dublin City University
  • University of New England
  • Florida Atlantic University
  • Children's National Medical Center
  • Institute of Living

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Background: Meta-analysis of genome-wide association studies identified obesity-related genetic variants. Due to the pleiotropic effects of related phenotypes, we tested six of these obesity-related genetic variants for their association with physical activity: fat mass and obesity-associated (FTO)(rs9939609)T>A, potassium channel tetramerization domain containing (KCTD15) (rs11084753)G>A, melanocortin receptor4 (MC4R)(rs17782313)T>C, neuronal growth regulator 1 (NEGR1)(rs2815752)A>G, SH2B adapter protein 1 (SH2B1)(rs7498665)A>G, and transmembrane protein18 (TMEM18)(rs6548238)C>T. Method: European-American women (n = 263) and men (n = 229) (23.5 ± 0.3 years, 24.6 ± 0.2 kg/m2) were genotyped and completed the Paffenbarger physical activity Questionnaire. Physical activity volume in metabolic energy equivalents [MET]-hour/week was derived from the summed time spent (hour/week) times the given MET value for vigorous, moderate, and light intensity physical activity, and sitting and sleeping, respectively. Multivariable adjusted [(age, sex, and body mass index (BMI)] linear regression tested associations among genotype (dominant/recessive model) and the log of physical activity volume. Result: MC4R (rs17782313)T>C explained 1.1 % (p = 0.02), TMEM18(rs6548238)C>T 1.2 % (p = 0.01), and SH2B1 (rs7498665)A>G 0.6 % (p = 0.08) of the variability in physical activity volume. Subjects with the MC4R C allele spent 3.5 % less MET-hour/week than those with the TT genotype (p = 0.02). Subjects with the TMEM18 T allele spent 4.1 % less MET-hour/week than those with the CC genotype (p = 0.01). Finally, subjects with the SH2B1 GG genotype spent 3.6 % less MET-hour/week than A allele carriers (p = 0.08). Conclusion: Our findings suggest a shared genetic influence among some obesity-related gene loci and physical activity phenotypes that should be explored further. Physical activity volume differences by genotype have public health importance equating to 11–13 lb weight difference annually.

Original languageEnglish
Article number34
JournalSports Medicine - Open
Volume1
Issue number1
DOIs
StatePublished - Dec 1 2015

Keywords

  • Allele Carrier
  • Habitual Physical Activity
  • Physical Activity
  • Physical Activity Volume
  • Resistance Training

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