Performing Different Kinds of Physical Exercise Differentially Attenuates the Genetic Effects on Obesity Measures: Evidence from 18,424 Taiwan Biobank Participants

Overview

Journal PLoS Genet

Specialty Genetics

Date 2019 Aug 2

PMID 31369549

Citations 16

Authors

Wan-Yu Lin

Chang-Chuan Chan

Yu-Li Liu

Albert C Yang

Shih-Jen Tsai

Po-Hsiu Kuo

Affiliations

Soon will be listed here.

Abstract

Obesity is a worldwide health problem that is closely linked to many metabolic disorders. Regular physical exercise has been found to attenuate the genetic predisposition to obesity. However, it remains unknown what kinds of exercise can modify the genetic risk of obesity. This study included 18,424 unrelated Han Chinese adults aged 30-70 years who participated in the Taiwan Biobank (TWB). A total of 5 obesity measures were investigated here, including body mass index (BMI), body fat percentage (BFP), waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR). Because there have been no large genome-wide association studies on obesity for Han Chinese, we used the TWB internal weights to construct genetic risk scores (GRSs) for each obesity measure, and then test the significance of GRS-by-exercise interactions. The significance level throughout this work was set at 0.05/550 = 9.1x10-5 because a total of 550 tests were performed. Performing regular exercise was found to attenuate the genetic effects on 4 obesity measures, including BMI, BFP, WC, and HC. Among the 18 kinds of self-reported regular exercise, 6 mitigated the genetic effects on at least one obesity measure. Regular jogging blunted the genetic effects on BMI, BFP, and HC. Mountain climbing, walking, exercise walking, international standard dancing, and a longer practice of yoga also attenuated the genetic effects on BMI. Exercises such as cycling, stretching exercise, swimming, dance dance revolution, and qigong were not found to modify the genetic effects on any obesity measure. Across all 5 obesity measures, regular jogging consistently presented the most significant interactions with GRSs. Our findings show that the genetic effects on obesity measures can be decreased to various extents by performing different kinds of exercise. The benefits of regular physical exercise are more impactful in subjects who are more predisposed to obesity.

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References

Lin W, Huang C, Liu Y, Tsai S, Kuo P . Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests. Front Genet. 2019; 9:715. PMC: 6339974. DOI: 10.3389/fgene.2018.00715. View

Riveros-Mckay F, Mistry V, Bounds R, Hendricks A, Keogh J, Thomas H . Genetic architecture of human thinness compared to severe obesity. PLoS Genet. 2019; 15(1):e1007603. PMC: 6345421. DOI: 10.1371/journal.pgen.1007603. View

Wang S, Hsiao P, Yeh L, Liu C, Liu C, Hwang T . Polygenic risk for schizophrenia and neurocognitive performance in patients with schizophrenia. Genes Brain Behav. 2017; 17(1):49-55. DOI: 10.1111/gbb.12401. View

Goldstein B, Yang L, Salfati E, Assimes T . Contemporary Considerations for Constructing a Genetic Risk Score: An Empirical Approach. Genet Epidemiol. 2015; 39(6):439-45. PMC: 4543537. DOI: 10.1002/gepi.21912. View

Larsen S, Angquist L, Ahluwalia T, Skaaby T, Roswall N, Tjonneland A . Interaction between genetic predisposition to obesity and dietary calcium in relation to subsequent change in body weight and waist circumference. Am J Clin Nutr. 2014; 99(4):957-65. DOI: 10.3945/ajcn.113.076596. View

Dai J, Kooperberg C, LeBlanc M, Prentice R . Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction. Biometrika. 2013; 99(4):929-944. PMC: 3629859. DOI: 10.1093/biomet/ass044. View

Kelishadi R . Childhood overweight, obesity, and the metabolic syndrome in developing countries. Epidemiol Rev. 2007; 29:62-76. DOI: 10.1093/epirev/mxm003. View

Ombrello M, Kirino Y, de Bakker P, Gul A, Kastner D, Remmers E . Behçet disease-associated MHC class I residues implicate antigen binding and regulation of cell-mediated cytotoxicity. Proc Natl Acad Sci U S A. 2014; 111(24):8867-72. PMC: 4066484. DOI: 10.1073/pnas.1406575111. View

Mitchell N, Catenacci V, Wyatt H, Hill J . Obesity: overview of an epidemic. Psychiatr Clin North Am. 2011; 34(4):717-32. PMC: 3228640. DOI: 10.1016/j.psc.2011.08.005. View

10.

Paley C, Johnson M . Abdominal obesity and metabolic syndrome: exercise as medicine?. BMC Sports Sci Med Rehabil. 2018; 10:7. PMC: 5935926. DOI: 10.1186/s13102-018-0097-1. View

11.

Frost H, Shen L, Saykin A, Williams S, Moore J . Identifying significant gene-environment interactions using a combination of screening testing and hierarchical false discovery rate control. Genet Epidemiol. 2016; 40(7):544-557. PMC: 5108431. DOI: 10.1002/gepi.21997. View

12.

Visscher P, Wray N, Zhang Q, Sklar P, McCarthy M, Brown M . 10 Years of GWAS Discovery: Biology, Function, and Translation. Am J Hum Genet. 2017; 101(1):5-22. PMC: 5501872. DOI: 10.1016/j.ajhg.2017.06.005. View

13.

Komulainen K, Pulkki-Raback L, Jokela M, Lyytikainen L, Pitkanen N, Laitinen T . Education as a moderator of genetic risk for higher body mass index: prospective cohort study from childhood to adulthood. Int J Obes (Lond). 2017; 42(4):866-871. DOI: 10.1038/ijo.2017.174. View

14.

Reddon H, Gerstein H, Engert J, Mohan V, Bosch J, Desai D . Physical activity and genetic predisposition to obesity in a multiethnic longitudinal study. Sci Rep. 2016; 6:18672. PMC: 4698633. DOI: 10.1038/srep18672. View

15.

Li P, Tiwari H, Lin W, Allison D, Chung W, Leibel R . Genetic association analysis of 30 genes related to obesity in a European American population. Int J Obes (Lond). 2013; 38(5):724-9. PMC: 3909018. DOI: 10.1038/ijo.2013.140. View

16.

Kelishadi R, Mirmoghtadaee P, Najafi H, Keikha M . Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors. J Res Med Sci. 2015; 20(3):294-307. PMC: 4468236. View

17.

Liu Q, Chen L, Nicolae D, Pierce B . A unified set-based test with adaptive filtering for gene-environment interaction analyses. Biometrics. 2015; 72(2):629-38. PMC: 4842175. DOI: 10.1111/biom.12428. View

18.

Qi Q, Li Y, Chomistek A, Kang J, Curhan G, Pasquale L . Television watching, leisure time physical activity, and the genetic predisposition in relation to body mass index in women and men. Circulation. 2012; 126(15):1821-7. PMC: 3667660. DOI: 10.1161/CIRCULATIONAHA.112.098061. View

19.

Ochs-Balcom H, Preus L, Nie J, Wactawski-Wende J, Agyemang L, Neuhouser M . Physical activity modifies genetic susceptibility to obesity in postmenopausal women. Menopause. 2018; 25(10):1131-1137. PMC: 6136965. DOI: 10.1097/GME.0000000000001134. View

20.

Celis-Morales C, Lyall D, Gray S, Steell L, Anderson J, Iliodromiti S . Dietary fat and total energy intake modifies the association of genetic profile risk score on obesity: evidence from 48 170 UK Biobank participants. Int J Obes (Lond). 2017; 41(12):1761-1768. DOI: 10.1038/ijo.2017.169. View