Cambridge Centre for Sport & Exercise Sciences, Anglia Ruskin University, Cambridge, United Kingdom.
School of Life Sciences, Anglia Ruskin University, Cambridge, United Kingdom.
PLoS One. 2021 Oct 14;16(10):e0249501. doi: 10.1371/journal.pone.0249501. eCollection 2021.
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.
本系统评价和荟萃分析的目的是确定与心血管健康、肌肉力量和无氧能力这三个健康组成部分相关的常见候选基因列表,并探讨这些基因与未经训练的参与者的运动反应表型变异性之间的关系。总共确定了 3969 篇潜在相关的论文,并进行了纳入评估。经过资格和研究选择评估后,选择了 24 项研究进行荟萃分析,共纳入 3012 名参与者(男性 n=1512;女性 n=1239;未说明 n=261;年龄 28±9 岁)。使用 Meta-Essentials spreadsheet 1.4(Microsoft Excel)创建森林图和荟萃分析。使用 IBM SPSS statistics V24 进行统计分析,alpha 值设置为 p≤0.05。确定了 13 个候选基因及其相关等位基因,这些基因与感兴趣的表型相关。对训练组数据的分析显示,表型存在显著的差异反应。亚组分析显示,在有氧、力量和力量表型中,分别有 44%、72%和 10%的反应方差由遗传因素决定。这项分析表明,遗传变异性解释了参与者训练后三个健康组成部分适应差异的很大一部分。结果还表明,分析和报告特定基因等位基因的重要性。从这些发现中获得的信息有可能为未来与运动相关的基因和训练研究提供信息和影响。