Int J Sports Med 2025; 46(02): 127-136
DOI: 10.1055/a-2421-9385
Genetics & Molecular Biology

Genomic predictors of fat mass response to the standardized exercise training

Xiaolin Yang
1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
2   Key Laboratory for Performance Training & Recovery of General Administration of Sport, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
3   Beijing Key Laboratory of Sports Performance and Skill Assessment, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
,
Yanchun Li
1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
2   Key Laboratory for Performance Training & Recovery of General Administration of Sport, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
3   Beijing Key Laboratory of Sports Performance and Skill Assessment, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
,
Dapeng Bao
1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
2   Key Laboratory for Performance Training & Recovery of General Administration of Sport, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
3   Beijing Key Laboratory of Sports Performance and Skill Assessment, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
,
Bing Yan
1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
2   Key Laboratory for Performance Training & Recovery of General Administration of Sport, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
3   Beijing Key Laboratory of Sports Performance and Skill Assessment, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
,
Tao Mei
1   China Institute of Sport and Health Science, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
2   Key Laboratory for Performance Training & Recovery of General Administration of Sport, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
3   Beijing Key Laboratory of Sports Performance and Skill Assessment, Beijing Sport University, Beijing, China (Ringgold ID: RIN47838)
,
Xiaoxi Liu
4   Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan (Ringgold ID: RIN198286)
,
Pawel Cięszczyk
5   Faculty of Physical Culture, Gdansk University of Physical Education and Sport, Gdansk, Poland
,
IldusI. Ahmetov
6   Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, Kazan, Russia (Ringgold ID: RIN4589)
7   Department of Physical Education, Plekhanov Russian University of Economics, Moscow, Russia (Ringgold ID: RIN4589)
8   Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St. Petersburg, Russia (Ringgold ID: RIN4589)
9   Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK (Ringgold ID: RIN4589)
,
LarsRobert Mc Naughton
10   Department of Sport and Physical Activity, Edge Hill University, Ormskirk, UK (Ringgold ID: RIN6249)
,
Zihong He
11   Biology Center, China Institute of Sport Science, Beijing, China (Ringgold ID: RIN71235)
› Author Affiliations

Supported by: the National Key R&D Program 2018YFC2000602
Supported by: Central University Basic Research Fund of China 2021TD003
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Abstract

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.

Supplementary Material



Publication History

Received: 24 November 2023

Accepted: 18 September 2024

Article published online:
30 October 2024

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