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Pikó P, Bácsné Bába É, Kósa Z, Sándor J, Kovács N, Bács Z, Ádány R. Genetic Determinants of Leisure-Time Physical Activity in the Hungarian General and Roma Populations. Int J Mol Sci 2023; 24:ijms24054566. [PMID: 36901996 PMCID: PMC10003125 DOI: 10.3390/ijms24054566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 03/02/2023] Open
Abstract
Leisure-time physical activity (LTPA) is one of the modifiable lifestyle factors that play an important role in the prevention of non-communicable (especially cardiovascular) diseases. Certain genetic factors predisposing to LTPA have been previously described, but their effects and applicability on different ethnicities are unknown. Our present study aims to investigate the genetic background of LTPA using seven single nucleotide polymorphisms (SNPs) in a sample of 330 individuals from the Hungarian general (HG) and 314 from the Roma population. The LTPA in general and three intensity categories of it (vigorous, moderate, and walking) were examined as binary outcome variables. Allele frequencies were determined, individual correlations of SNPs to LTPA, in general, were determined, and an optimized polygenetic score (oPGS) was created. Our results showed that the allele frequencies of four SNPs differed significantly between the two study groups. The C allele of rs10887741 showed a significant positive correlation with LTPA in general (OR = 1.48, 95% CI: 1.12-1.97; p = 0.006). Three SNPs (rs10887741, rs6022999, and rs7023003) were identified by the process of PGS optimization, whose cumulative effect shows a strong significant positive association with LTPA in general (OR = 1.40, 95% CI: 1.16-1.70; p < 0.001). The oPGS showed a significantly lower value in the Roma population compared with the HG population (oPGSRoma: 2.19 ± SD: 0.99 vs. oPGSHG: 2.70 ± SD: 1.06; p < 0.001). In conclusion, the coexistence of genetic factors that encourage leisure-time physical activity shows a more unfavorable picture among Roma, which may indirectly contribute to their poor health status.
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Affiliation(s)
- Péter Pikó
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
| | - Éva Bácsné Bába
- Institute of Sport Economics and Management, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary
| | - Zsigmond Kósa
- Department of Health Methodology and Public Health, Faculty of Health, University of Debrecen, 4400 Nyíregyháza, Hungary
| | - János Sándor
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Nóra Kovács
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Zoltán Bács
- Department of Accounting, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary
| | - Róza Ádány
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Department of Public Health, Semmelweis University, 1089 Budapest, Hungary
- Correspondence:
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Lightfoot JT, DE Geus EJC, Booth FW, Bray MS, DEN Hoed M, Kaprio J, Kelly SA, Pomp D, Saul MC, Thomis MA, Garland T, Bouchard C. Biological/Genetic Regulation of Physical Activity Level: Consensus from GenBioPAC. Med Sci Sports Exerc 2019; 50:863-873. [PMID: 29166322 DOI: 10.1249/mss.0000000000001499] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
PURPOSE Physical activity unquestionably maintains and improves health; however, physical activity levels globally are low and not rising despite all the resources devoted to this goal. Attention in both the research literature and the public policy domain has focused on social-behavioral factors; however, a growing body of literature suggests that biological determinants play a significant role in regulating physical activity levels. For instance, physical activity level, measured in various manners, has a genetic component in both humans and nonhuman animal models. This consensus article, developed as a result of an American College of Sports Medicine-sponsored round table, provides a brief review of the theoretical concepts and existing literature that supports a significant role of genetic and other biological factors in the regulation of physical activity. CONCLUSIONS Future research on physical activity regulation should incorporate genetics and other biological determinants of physical activity instead of a sole reliance on social and other environmental determinants.
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Affiliation(s)
- J Timothy Lightfoot
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Eco J C DE Geus
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Frank W Booth
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Molly S Bray
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Marcel DEN Hoed
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Jaakko Kaprio
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Scott A Kelly
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Daniel Pomp
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Michael C Saul
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Martine A Thomis
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Theodore Garland
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
| | - Claude Bouchard
- Department of Health and Kinesiology, Texas A&M University, College Station, TX.,Department of Health and Kinesiology, Texas A&M University, College Station, TX
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Sarzynski MA, Loos RJF, Lucia A, Pérusse L, Roth SM, Wolfarth B, Rankinen T, Bouchard C. Advances in Exercise, Fitness, and Performance Genomics in 2015. Med Sci Sports Exerc 2017; 48:1906-16. [PMID: 27183119 DOI: 10.1249/mss.0000000000000982] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This review of the exercise genomics literature encompasses the highest-quality articles published in 2015 across seven broad topics: physical activity behavior, muscular strength and power, cardiorespiratory fitness and endurance performance, body weight and adiposity, insulin and glucose metabolism, lipid and lipoprotein metabolism, and hemodynamic traits. One study used a quantitative trait locus for wheel running in mice to identify single nucleotide polymorphisms (SNPs) in humans associated with physical activity levels. Two studies examined the association of candidate gene ACTN3 R577X genotype on muscular performance. Several studies examined gene-physical activity interactions on cardiometabolic traits. One study showed that physical inactivity exacerbated the body mass index (BMI)-increasing effect of an FTO SNP but only in individuals of European ancestry, whereas another showed that high-density lipoprotein cholesterol (HDL-C) SNPs from genome-wide association studies exerted a smaller effect in active individuals. Increased levels of moderate-to-vigorous-intensity physical activity were associated with higher Matsuda insulin sensitivity index in PPARG Ala12 carriers but not Pro12 homozygotes. One study combined genome-wide and transcriptome-wide profiling to identify genes and SNPs associated with the response of triglycerides (TG) to exercise training. The genome-wide association study results showed that four SNPs accounted for all of the heritability of △TG, whereas the baseline expression of 11 genes predicted 27% of △TG. A composite SNP score based on the top eight SNPs derived from the genomic and transcriptomic analyses was the strongest predictor of ΔTG, explaining 14% of the variance. The review concludes with a discussion of a conceptual framework defining some of the critical conditions for exercise genomics studies and highlights the importance of the recently launched National Institutes of Health Common Fund program titled "Molecular Transducers of Physical Activity in Humans."
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Affiliation(s)
- Mark A Sarzynski
- 1Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC; 2The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY; 3Universidad Europea and Research Institute, Hospital 12 de Octubre (i+12), Madrid, SPAIN; 4Faculty of Medicine, Department of Kinesiology, Laval University, Ste-Foy, Québec, CANADA; 5Department of Kinesiology, School of Public Health, University of Maryland, College Park, MD; 6Department of Sport Medicine, Humboldt University and Charité University School of Medicine, Berlin, GERMANY; and 7Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
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