Key result
A Polygenic Predictor Score derived from ten novel lead SNPs, combined with sex, baseline body mass, and exercise protocols, explained 40.3% of the variance in fat mass response to a 12-week exercise training program.
Why the study?
To explore the genetic architecture underlying exercise-induced fat mass change.
Do specific genomic variants and a Polygenic Predictor Score predict fat mass response to 12-week exercise training in physically inactive healthy adults?
Cohort (n=442)
Do specific genomic variants and a Polygenic Predictor Score predict fat mass response to 12-week exercise training in physically inactive healthy adults?
A novel Polygenic Predictor Score can significantly predict inter-individual variability in fat mass reduction following 12 weeks of standardized exercise training.
May stratify fat mass response to exercise; leaves open validation before clinical use.
To explore the genetic architecture underlying exercise-induced fat mass change, we performed a genome-wide association study with a Chinese cohort consisting of 442 physically inactive healthy adults in response to a 12-week exercise training (High-intensity Interval Training or Resistance Training). The inter-individual response showed an exercise-induced fat mass change and ten novel lead SNPs were associated with the response on the level of P<1×10−5. Four of them (rs7187742, rs1467243, rs28629770 and rs10848501) showed a consistent effect direction in the European ancestry. The Polygenic Predictor Score (PPS) derived from ten lead SNPs, sex, baseline body mass and exercise protocols explained 40.3% of the variance in fat mass response, meanwhile importantly the PPS had the greatest contribution. Of note, the subjects whose PPS was lower than −9.301 had the highest response in exercise-induced fat loss. Finally, we highlight a series of pathways and biological processes regarding the fat mass response to exercise, e.g. apelin signaling pathway, insulin secretion pathway and fat cell differentiation biological process.
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Yang et al. (2024) conducted a cohort in Physically inactive healthy adults (n=442). Genetic variants (Polygenic Predictor Score) vs. Different genotypes was evaluated on Exercise-induced fat mass change (p=<1x10-5). A Polygenic Predictor Score derived from ten novel lead SNPs, combined with sex, baseline body mass, and exercise protocols, explained 40.3% of the variance in fat mass response to a 12-week exercise training program.
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