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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 AffiliationsSupported 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.

Keywords

High-intensity interval training - Resistance training - Polygenic Predictor Score - Genome-wide Association Study - Inter-individual Variability

Supplementary Material



Publication History

Received: 24 November 2023

Accepted: 18 September 2024

Article published online:
30 October 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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