Nine genetic polymorphisms associated with power athlete status – A Meta-Analysis. Issue 2 (February 2018)

• Record Type: Journal Article
• Authors: Weyerstraß, Jan; Stewart, Kelly; Wesselius, Anke; Zeegers, Maurice
• Is Part Of: Journal of science and medicine in sport. Volume 21:Issue 2(2018)
• Page Start: 213
• Page End: 220
• Publication Date: 2018-02
• Subjects: Muscular power -- Single nucleotide polymorphism -- Candidate gene study -- Cohort -- Case-control; Sports sciences -- Periodicals; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Sports -- physiology -- Periodicals; Sports Medicine -- Periodicals; Sportgeneeskunde; 617.102705
• DOI: 10.1016/j.jsams.2017.06.012
• Languages: English
• ISSNs: 1440-2440

Abstract

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.