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Published on: June 11, 2019
GWAS shows links between EDARADD and LRFN5 and performance in professional athletes
M V Terekhov1, R V Deev2,3, A I Kadykova2
1Federal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Moscow, Russia. MTerekhov@cspfmba.ru.
Background:
Research into genetic markers associated with sports performance and aerobic capacity has been gaining momentum. However, despite the discovery of numerous molecular and genetic markers, there is still a gap in understanding the variations in athletes' trainability and maximum oxygen consumption levels (VO₂ max). The purpose of this study was to examine molecular and genetic markers associated with athletic performance and build linear models to evaluate the contributions of phenotype and genotype to VO₂ max levels in professional athletes.
Methods:
A group of 1,115 athletes from Russian national sports teams in various sports disciplines underwent a comprehensive physical examination under standardized conditions. A genome-wide association study was conducted to discover variants associated with athletic performance, and linear models were built to calculate VO₂ max per one kilogram of body weight.
Results:
The current study examined both phenotype and genotype. The genome-wide association study revealed significant variations in the intergenic region of EDARADD (rs7534875) and in a non-coding region of LRFN5. The model integrating phenotype and genotype contributions (the most significant single nucleotide variants from the genome-wide association study) demonstrated the best accuracy metrics (coefficient of determination = 0.4852; mean absolute error = 5.3177; mean squared error = 45.7350).
Conclusion:
New variants associated with VO₂ max in professional athletes were found in EDARADD and LRFN5. The predictive VO₂ max model integrating genotype and phenotype data showed the best performance characteristics and the highest accuracy metrics.

