Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis.
Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis.
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DOI：
10.1371/journal.pone.0249501
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Gordon DA
中科院分区：
文献类型：
--
作者：
Chung HC;Keiller DR;Roberts JD;Gordon DA
这项系统性综述和荟萃分析的目的是确定一系列与健身三个组成部分相关的常见候选基因，特别是心血管健身，肌肉力量和无氧动力，以及这些基因如何与以前未经训练的参与者的运动反应表型变异性相关。共确定并处理了3，969篇潜在相关论文。在合格性和研究选择评估后，选择了24项研究进行荟萃分析，共包括3，012例受试者（男性n = 1，512;女性n = 1，239;未说明n = 261;年龄28 ± 9岁）。Meta-Essentials电子表格1.4（Microsoft Excel）用于创建森林图和荟萃分析。采用IBM SPSS统计V24进行统计分析，α设定为p ≤ 0.05。共鉴定出13个候选基因及其相关等位基因，它们与感兴趣的表型相关。训练组数据的分析显示出显着的差异表型反应。亚组分析显示; 44%，72%和10%的有氧，力量和权力表型的反应方差，分别解释了遗传影响。这项分析表明，遗传变异解释了参与者训练后适应性差异的三个组成部分。研究结果还表明了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的运动相关基因和训练研究提供信息和影响。
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.
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影响因子：
4
作者：
Brandauer J;Andersen MA;Kellezi H;Risis S;Frøsig C;Vienberg SG;Treebak JT
通讯作者：
Treebak JT
影响因子：
3.3
作者：
Clarkson, PM;Devaney, JM;Hoffman, EP
通讯作者：
Hoffman, EP
影响因子：
120.7
作者：
Blair, SN;Kampert, JB;Gibbons, LW
通讯作者：
Gibbons, LW
影响因子：
3.3
作者：
Bouchard, Claude;Sarzynski, Mark A.;Rankinen, Tuomo
通讯作者：
Rankinen, Tuomo
DOI：
10.1249/mss.0b013e31816c091d
发表时间：
2008-07-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Butcher, Lee R.;Thomas, Andrew;Morris, Keith
通讯作者：
Morris, Keith