Key result
A total genotype score cut-off of 59.085 a.u. significantly discriminated injured from non-injured elite endurance athletes (OR 7.400; 95% CI 2.548-21.495; p<0.001).
Why the study?
The study was conducted to examine the relationship between muscle performance-related genes and overuse injury risk in elite endurance athletes, and to assess the feasibility of a total genotype score correlated with injury.
Does a total genotype score based on muscle performance-related genes predict overuse injury risk in elite endurance athletes?
Cohort (n=100)
Does a total genotype score based on muscle performance-related genes predict overuse injury risk in elite endurance athletes?
Odds Ratio: 7.4 (95% CI 2.548–21.495)
p-value: p=<0.001
A total genotype score based on muscle performance-related genes may help predict overuse injury risk in elite endurance athletes.
Supports genotype scoring for injury risk stratification in elite endurance athletes; extends polygenic modeling to sports injury prevention.
Injuries are a complex trait that can stem from the interaction of several genes. The aim of this research was to examine the relationship between muscle performance-related genes and overuse injury risk in elite endurance athletes, and to examine the feasibility of determining a total genotype score that significantly correlates with injury. A cohort of 100 elite endurance athletes (50 male and 50 female) was selected. AMPD1 (rs17602729), ACE (rs4646994), ACTN3 (rs1815739), CKM (rs8111989) and MLCK ([rs2849757] and [rs2700352]) polymorphisms were genotyped by using real-time polymerase chain reaction (real time-PCR). Injury characteristics during the athletic season were classified following the Consensus Statement for injuries evaluation. The mean total genotype score (TGS) in non-injured athletes (68.263±13.197 arbitrary units [a.u.]) was different from that of injured athletes (50.037±17.293 a.u., p<0.001). The distribution of allelic frequencies in the AMPD1 polymorphism was also different between non-injured and injured athletes (p<0.001). There was a TGS cut-off point (59.085 a.u.) to discriminate non-injured from injured athletes with an odds ratio of 7.400 (95% CI 2.548–21.495, p<0.001). TGS analysis appears to correlate with elite endurance athletes at higher risk for injury. Further study may help to develop this as one potential tool to help predict injury risk in this population.
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Varillas‐Delgado et al. (2022) conducted a cohort in Overuse injury risk (n=100). Total genotype score (TGS) cut-off point of 59.085 a.u. vs. TGS above cut-off point was evaluated on Injury during the athletic season (OR 7.400, 95% CI 2.548-21.495, p=<0.001). A total genotype score cut-off of 59.085 a.u. significantly discriminated injured from non-injured elite endurance athletes (OR 7.400; 95% CI 2.548-21.495; p<0.001).
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