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Nine genetic polymorphisms associated with power athlete status – A Meta-Analysis

机译:与动力运动员状态相关的九种遗传多态性 - Meta分析

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Abstract Objectives In this study the association between genetic polymorphisms and power athlete status with possible interference by race and sex was investigated to identify genetic variants favourable for becoming a power athlete. Design This meta-analysis included both, case-control and Cohort studies. Methods Databases of PubMed and Web of Science were searched for studies reporting on genetic polymorphisms associated with the status of being a power athlete. Thirty-five articles published between 2008 and 2016 were identified as eligible including a total number of 5834 power athletes and 14,018 controls. A series of meta-analyses were conducted for each of the identified genetic polymorphisms associated with power athlete status. Odds ratios (ORs) based on the allele and genotype frequency with corresponding 95% confidence intervals (95%CI) were calculated per genetic variant. Heterogeneity of the studies was addressed by Chi-square based Q-statistics at 5% significance level and a fixed or random effects model was used in absence or presence of heterogeneity respectively. Stratified analyses were conducted by race and sex to explore potential sources of heterogeneity. Results Significant associations were found for the genetic polymorphisms in the ACE (rs4363, rs1799752), ACTN3 (rs1815739), AGT (rs699), IL6-174 (rs1800795), MnSOD (rs1799725), NOS3 (rs1799983, rs2070744) and SOD2 (rs4880) genes. Conclusions Nine genetic polymorphisms have been identified in the meta-analyses to have a significant association with the status of being a power athlete. Nevertheless, more research on the investigated genes needs to be done to draw comprehensive conclusions.
机译:摘要本研究的目的,研究了遗传多态性与动力运动员现状与种族和性行为可能干扰的关联,以识别有利于成为一个动力运动员的遗传变异。设计该元分析包括案例控制和队列研究。方法搜索有关遗传多态性的研究报告与能力运动员的地位相关的研究。 2008年至2016年间发表的三十五篇文章被确定为符合条件,包括总数的5834个权力运动员和14,018个控制。对与动力运动员地位相关的每个鉴定的遗传多态性进行了一系列元分析。基于等位基因和基因型频率的差距(或s),每个遗传变异计算具有相应的95%置信区间(95%CI)的基因型频率。基于基于Chi-Square的Q统计来解决研究的异质性,在5%的意义水平下,分别用于不存在或存在异质性的固定或随机效应模型。通过种族和性行为进行分层分析,以探索异质性的潜在来源。结果发现ACE的遗传多态性(RS4363,RS1799752),ACTN3(RS1815739),AGT(RS699),IL6-174(RS1800795),MNSOD(RS1799725),NOS3(RS1799983,RS2070744)和SOD2(RS4880 )基因。结论在荟萃分析中已经确定了九种遗传多态性,以与作为权力运动员的地位有了重要的关系。然而,需要进行更多关于调查基因的研究,以得出全面的结论。

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