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Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis

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posted on 2023-07-26, 15:34 authored by Henry Chung, Don Keiller, Justin D. Roberts, Dan Gordon
The aim of this systematic review and meta-analysis was to identify a list of common, candidate genes associated with the three components of fitness, specifically cardiovascular fitness, muscular strength, and anaerobic power, and how these genes are associated with exercise response phenotype variability, in previously untrained participants. A total of 3,969 potentially relevant papers were identified and processed for inclusion. After eligibility and study selection assessment, 24 studies were selected for meta-analysis, comprising a total of 3,012 participants (male n = 1,512; females n = 1,239; not stated n = 261; age 28 ± 9 years). Meta-Essentials spreadsheet 1.4 (Microsoft Excel) was used in creating the forest plots and meta-analysis. IBM SPSS statistics V24 was implemented for the statistical analyses and the alpha was set at p ≤ 0.05. 13 candidate genes and their associated alleles were identified, which were associated with the phenotypes of interest. Analysis of training group data showed significant differential phenotypic responses. Subgroup analysis showed; 44%, 72% and 10% of the response variance in aerobic, strength and power phenotypes, respectively, were explained by genetic influences. This analysis established that genetic variability explained a significant proportion of the adaptation differences across the three components of fitness in the participants post-training. The results also showed the importance of analysing and reporting specific gene alleles. Information obtained from these findings has the potential to inform and influence future exercise-related genes and training studies.

History

Refereed

  • Yes

Volume

16

Issue number

10

Page range

e0249501

Publication title

PLOS ONE

ISSN

1932-6203

Publisher

Public Library of Science

File version

  • Published version

Language

  • eng

Legacy posted date

2021-10-22

Legacy creation date

2021-10-22

Legacy Faculty/School/Department

Faculty of Science & Engineering

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