Nomograms For Predicting And Identifying Polygenetics Models Of Power Performance In Chinese Elite Athletes

Abstract

Based on the single nucleotide polymorphism(SNP) of elite power performance athletes, combined with other related phenotypic indicators, models for predicting and identifying the power performance of Chinese elite athletes was established, and the models were visualized by the method of nomogram. PURPOSE: To explore the relationship between power performance and SNP of Chinese elite athletes and to creat polygenic models for predicting and identifying elite power performance. METHODS: 103 elite athletes (age=24.3±3.2years; height=174.9±8.4cm; body mass=66.3±14.0kg; body mass index (BMI)=21.5±3.4) which were all Chinese were divided into power group(n=60) and endurance group(n=43) by their sport event. Best standing long jump (SLJ) and standing vertical jump (SVJ) were collected. Saliva samples were collected to test and 20 SNPs were genotyped by SNaPshot. test was used to compare the genotype distribution and allele frequency between groups. Predicting and identifying models were established by multivariate logistic regression analysis. Nomograms were created to visualize. RESULTS: ACTN3(rs1815739),ADRB3(rs4994) and PPARGC1A(rs8192678) were significant both in genotype distribution and allele frequency between groups(P<0.05). The predicting model was consisted of ACTN3(rs1815739) (OR=2.448, 95% CI: 1.277-4.693), ADRB3(rs4994) (OR=3.546, 95% CI: 1.360-9.245) and PPARGC1A(rs8192678) (OR=2.159, 95% CI: 1.109-4.207), the AUC of which was 0.736. The identifying model was consisted of BMI(OR=1.217, 95% CI: 1.005-1.473), SVJ(OR=1.092, 95% CI: 1.040-1.146), ACTN3(OR=2.127, 95% CI: 1.006-4.497), ADRB3(OR=5.029, 95% CI: 1.451-17.427) and PPARGC1A(OR=2.370, 95% CI: 1.070-5.250), the AUC of which was 0.854. Based on the two models, nomograms were created to visualize the results. CONCLUSION: Two models can be both used for talent identification in Chinese athletes, among which the predicting one can be used in adolescent athletes to predict the development potential of power performance and the identifying one can be used in elite athletes to distinguish and evaluate power athletic status. It can be applied quickly and visually by using the method of nomogram. Supported by key basic research grants from Science and Technology Commission of Shanghai Municipality, GrantNo.16JC1400500.