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Variance components models for physical activity with age as modifier: a comparative twin study in seven countries
Jacqueline M Vink1, Dorret I Boomsma, Sarah E Medland
1Department of Biological Psychology, VU University, the Netherlands. jm.vink@psy.vu.nl
Summary
Genetic factors influence physical activity, with heritability decreasing with age in many populations. This highlights the importance of considering age in genetic studies of physical activity.
Area of Science:
- Behavioral genetics
- Human genetics
- Epidemiology
Background:
- Physical activity levels are influenced by a complex interplay of genetic and environmental factors.
- The expression and impact of genetic predispositions can change throughout an individual's lifespan.
- Understanding these age-related changes is crucial for accurate genetic research.
Purpose of the Study:
- To investigate the influence of age as a modifier on the genetic and environmental contributions to physical activity.
- To examine cross-national variations in the heritability of physical activity across different age groups.
- To inform the design and interpretation of genetic association studies for physical activity.
Main Methods:
- Utilized an extended classical twin model incorporating age as a modifier variable.
- Analyzed self-reported physical activity data from a large twin sample (aged 19-50) across seven European countries and Australia.
- Applied statistical modeling to assess gene-environment interactions with age.
Main Results:
- Confirmed significant genetic influences on physical activity across all participating countries.
- Observed an age-related decline in heritability for physical activity in four of the seven countries studied.
- Found minimal effects of shared environment, except in older Swedish twins, and noted limitations in smaller or narrower age-range samples.
Conclusions:
- Age significantly modulates the heritability of physical activity, underscoring its importance in genetic research.
- The findings suggest that genome-wide association studies may have greater power to detect genetic variants for physical activity in younger adult cohorts.
- Future research should incorporate age-specific analyses to better understand the genetic architecture of physical activity.
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