A Genotype-Phenotype Model for Predicting Resistance Training Effects on Leg Press Performance

Int J Sports Med
DOI: 10.1055/a-2234-0159

Genetics & Molecular Biology

Tao Mei

1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China

,

Yanchun Li

1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China

,

Xiaoxia Li

2   Department of Teaching Affairs, Shandong Sport University, Jinan, China

,

Xiaolin Yang

1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China

,

Liang Li

3   Academy of Sports, Sultan Idris Education University, Tanjung Malim, Malaysia

,

Xu Yan

4   Institute for Health and Sport, Victoria University, Melbourne, Australia

,

Zi-hong He

5   Exercise Biology Research Center, China Institute of Sport Science, Beijing, China

› Author Affiliations Funding Information Fundamental Research Funds for the Central Universities — http:// dx.doi.org/10.13039/501100012226; 2016SYS002 National Key R&D Program of China — 2018YFC2000602
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This study develops a comprehensive genotype-phenotype model for predicting the effects of resistance training on leg press performance. A cohort of physically inactive adults (N=193) underwent 12 weeks of resistance training, and measurements of maximum isokinetic leg press peak force, muscle mass, and thickness were taken before and after the intervention. Whole-genome genotyping was performed, and genome-wide association analysis identified 85 novel SNPs significantly associated with changes in leg press strength after training. A prediction model was constructed using stepwise linear regression, incorporating seven lead SNPs that explained 40.4% of the training effect variance. The polygenic score showed a significant positive correlation with changes in leg press strength. By integrating genomic markers and phenotypic indicators, the comprehensive prediction model explained 75.4% of the variance in the training effect. Additionally, five SNPs were found to potentially impact muscle contraction, metabolism, growth, and development through their association with REACTOME pathways. Individual responses to resistance training varied, with changes in leg press strength ranging from −55.83% to 151.20%. The study highlights the importance of genetic factors in predicting training outcomes and provides insights into the potential biological functions underlying resistance training effects. The comprehensive model offers valuable guidance for personalized fitness programs based on individual genetic profiles and phenotypic characteristics.

Key words genome-wide association study - strength training effects - isokinetic strength - personalized exercise - predictive model Publication History

Received: 01 July 2023

Accepted: 20 December 2023

Accepted Manuscript online:
20 December 2023

Article published online:
29 January 2024

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