Muscular power is one of the factors that contribute to an athlete’s performance. This study aimed to explore the predictive ability of total genotype score (TGS) and serum metabolite markers in power-based sports performance following different strength training (ST) intensities. We recruited 15 novice male field hockey players (age = 16.27 ± .12 years old, body mass index = 22.57 ± 2.21 kg/m2) and allocated them to; high-intensity strength training (HIST, n=5), moderate intensity strength (MIST, n=5), and control group (C, n=5). Both training groups completed an eight-week ST intervention. Pre- and post-training muscular power (vertical jump) was measured. The participants were genotyped for; ACE (rs1799752), ACTN3 (rs1815739), ADRB3 (rs4994), AGT (rs699), BDKRB2 (rs1799722), PPARA (rs4253778), PPARGC1A (rs8192678), TRHR (rs7832552), and VEGF (rs1870377). TGS was calculated to annotate for strength-power (STP) and endurance (END) qualities. Subsequently, serum metabolomics analysis was conducted using Liquid chromatography-mass spectrometry Quadrupole-Time-of-Flight (LC-MS QTOF) to profile differentially expressed metabolite changes induced by training. Multiple regression analysis was conducted to explore the ability of TGS and differentially expressed metabolite markers to predict muscular power changes following the intervention. Multiple Regression revealed that only TGS STP might be a significant predictor of muscular power changes following MIST (adjusted R2=.906, p<.05). Additionally, ST also resulted in significant muscular power improvement (p<.05) and perturbation of the sphingolipid metabolism pathway (p<.05). Therefore, selected gene variants may influence muscular power. Therefore, STP TGS might be able to predict muscular power changes following MIST.

Background: Studies have shown that inter-individual variation in response to resistance training is attributed to genetic variation. Aim: To correlate total genotype scores (TGS) with the magnitude of physical performances (skeletal muscle mass, muscular strength, muscular power, performance decrement, and VO2max) change, following 8 weeks of resistance training. Methods: We included forty-five (N=45) participants (age = 16.53 ± .5 years old, body mass = 61.03 ± 6.67 kg, height = 1.67±.05 m) and randomly assigned into; high intensity resistance training (n=15), moderate intensity resistance training (n=15) and a control group (n=15). They were prescribed with the same upper and lower body exercise routines. Pre- and post-test physical performances were measured. Genotyping was conducted using in-house designed allele-specific polymerase chain reaction assays. TGS for nine SNPs: Angiotensin Converting Enzyme, ACE rs1799752; Alpha-acitin-3, ACTN3 rs1815739; Adrenergic Receptor B3, ADRB3 rs4994; Angiotensinogen, AGT rs699; Bradykinin Receptor B2, BDKRB2 rs1799722; Peroxisome Proliferator-Activated Receptor Alpha, PPARA rs4253778; Peroxisome Proliferator-Activated Receptor Gamma Co-Activator 1-Alpha, PPARGC1A rs8192678; Thyrotropin Releasing Hormone Receptor, TRHR rs7832552 and Vascular Endothelial Growth Factor, VEGF rs1870377,were calculated and assigned with strength-power and endurance quality. Pearson correlation analysis was employed to investigate the correlation between TGS, and magnitude of physical performances change following intervention. Result: There is a significant correlation between strength-power TGS with lower body muscular strength (r= .65, p<.01) and power (r= -.69, p<.01) following moderate intensity resistance training. Conclusion: In this study, it is demonstrated that participants with higher strength-power TGS, gained greater lower body strength improvement and lesser muscular power decrement even with moderate intensity as compared to high intensity resistance training. Therefore, personalising training based on athlete’s genetic profile may optimise performance.

A balanced aerobic and anaerobic capacity is an important determinant of performance among field hockey players during the competition. Training and heritable talent play important roles in determining the performance of the athletes. Therefore, this study aimed to investigate the influence of sport-related genetic variants on aerobic capacity and repeated sprint ability performance among field hockey players. A total of 45 participants (age = 16.42 ± 0.50 years old, height = 1.67 ± 0.06 m) were selected based on the inclusion criteria of this study. Participants were divided into three groups based on training intensity for eight weeks (high intensity, moderate intensity, and control). Three genetic variants associated with endurance and power (ACE rs1799752, ACTN3 rs1815739, and PPARA rs4253778) were used to calculate the total genotype score (TGS). Pearson’s correlation was used to analyse the correlations between the performance and TGS. There was a significant correlation between the aerobic capacity with endurance TGS (r=0.55, p=0.03) and power TGS (r=-0.55, p=0.03) following the moderate intensity group. It is concluded that the higher the endurance TGS, the better the aerobic capacity in the moderate intensity endurance exercise. Therefore, the short-term performance of the athletes was significantly influenced by the genotypes and training intensity.