Affiliations 

  • 1 China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
  • 2 Department of Teaching Affairs, Shandong Sport University, Jinan, China
  • 3 Academy of sports, Sultan Idris Education University, Tanjung Malim, Malaysia
  • 4 Institute for Health and Sport, Victoria University, Melbourne, Australia
  • 5 Exercise Biology Research Center, China Institute of Sport Science, Beijing, China
Int J Sports Med, 2023 Dec 20.
PMID: 38122824 DOI: 10.1055/a-2234-0159

Abstract

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 7 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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.