Association of Cognition-Related Genetic Polymorphisms with Elite Athlete Status: A Meta-Analysis
Elif Akkuş1, Cemre Didem Eyipınar2, Yusuf Buzdagli3
1Department of Coaching Education, Faculty of Sport Sciences, Atatürk University, Erzurum 25050, Turkey.
Abstract:
Background: Athletic performance is a multifactorial construct influenced by physiological, biomechanical, and psychological determinants. In recent years, genetic factors have been increasingly recognized as contributors to inter-individual variability in performance. In particular, polymorphisms in genes involved in neurobiological pathways have been associated with cognitive processes relevant to sport performance. However, the distribution of cognition-related genetic variants in elite athletes has not been systematically synthesized. Methods: This meta-analysis aimed to examine the distribution of selected candidate gene polymorphisms previously associated with cognition-related traits in elite athletes compared to control populations. A systematic literature search identified 17 eligible case-control studies investigating allele distributions of COMT rs4680, BDNF rs6265, DRD2 rs1800497, OPRM1 rs1799971, and HTR1A rs6295. Pooled analyses were performed using a fixed-effect model, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Results: Elite athletes demonstrated a significantly higher frequency of the G allele of COMT rs4680 (OR = 1.11; 95% CI: 1.02-1.21; p = 0.013) and the G allele of BDNF rs6265 (OR = 1.40; 95% CI: 1.10-1.77; p = 0.005) compared to controls. No significant differences were observed for HTR1A rs6295, DRD2 rs1800497, or OPRM1 rs1799971 polymorphisms (p > 0.05). Conclusions: This meta-analysis indicates that certain genetic variants previously associated with cognition-related traits, particularly COMT rs4680 and BDNF rs6265, are more frequently observed in elite athletes. These findings suggest a potential association between cognition-related genetic pathways and elite athletic status. However, as the present analysis is based on genetic distribution rather than direct cognitive assessments, the results should be interpreted within the context of association rather than causation.
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