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Obesity-Related Genetic Variants and their Associations with Physical Activity

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)(...

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Autores principales: Lee, Harold, Ash, Garrett I., Angelopoulos, Theodore J., Gordon, Paul M., Moyna, Niall M., Visich, Paul S., Zoeller, Robert F., Gordish-Dressman, Heather, Deshpande, Ved, Chen, Ming-Hui, Thompson, Paul D., Hoffman, Eric P., Devaney, Joseph M., Pescatello, Linda S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607705/
https://www.ncbi.nlm.nih.gov/pubmed/26495240
http://dx.doi.org/10.1186/s40798-015-0036-6
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author Lee, Harold
Ash, Garrett I.
Angelopoulos, Theodore J.
Gordon, Paul M.
Moyna, Niall M.
Visich, Paul S.
Zoeller, Robert F.
Gordish-Dressman, Heather
Deshpande, Ved
Chen, Ming-Hui
Thompson, Paul D.
Hoffman, Eric P.
Devaney, Joseph M.
Pescatello, Linda S.
author_facet Lee, Harold
Ash, Garrett I.
Angelopoulos, Theodore J.
Gordon, Paul M.
Moyna, Niall M.
Visich, Paul S.
Zoeller, Robert F.
Gordish-Dressman, Heather
Deshpande, Ved
Chen, Ming-Hui
Thompson, Paul D.
Hoffman, Eric P.
Devaney, Joseph M.
Pescatello, Linda S.
author_sort Lee, Harold
collection PubMed
description 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/m(2)) 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.
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spelling pubmed-46077052015-10-20 Obesity-Related Genetic Variants and their Associations with Physical Activity Lee, Harold Ash, Garrett I. Angelopoulos, Theodore J. Gordon, Paul M. Moyna, Niall M. Visich, Paul S. Zoeller, Robert F. Gordish-Dressman, Heather Deshpande, Ved Chen, Ming-Hui Thompson, Paul D. Hoffman, Eric P. Devaney, Joseph M. Pescatello, Linda S. Sports Med Open Original Research Article 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/m(2)) 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. Springer International Publishing 2015-10-15 /pmc/articles/PMC4607705/ /pubmed/26495240 http://dx.doi.org/10.1186/s40798-015-0036-6 Text en © Lee et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research Article
Lee, Harold
Ash, Garrett I.
Angelopoulos, Theodore J.
Gordon, Paul M.
Moyna, Niall M.
Visich, Paul S.
Zoeller, Robert F.
Gordish-Dressman, Heather
Deshpande, Ved
Chen, Ming-Hui
Thompson, Paul D.
Hoffman, Eric P.
Devaney, Joseph M.
Pescatello, Linda S.
Obesity-Related Genetic Variants and their Associations with Physical Activity
title Obesity-Related Genetic Variants and their Associations with Physical Activity
title_full Obesity-Related Genetic Variants and their Associations with Physical Activity
title_fullStr Obesity-Related Genetic Variants and their Associations with Physical Activity
title_full_unstemmed Obesity-Related Genetic Variants and their Associations with Physical Activity
title_short Obesity-Related Genetic Variants and their Associations with Physical Activity
title_sort obesity-related genetic variants and their associations with physical activity
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607705/
https://www.ncbi.nlm.nih.gov/pubmed/26495240
http://dx.doi.org/10.1186/s40798-015-0036-6
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