Introduction. Human physical performance is a quantitative multifactorial inheritable trait, whose phenotypic expression might be influenced by multiple genes and environmental factors. In 2008, Williams and Folland (W—F) proposed genetic algorithm to calculate the ‘total genotype score’ (TGS) for the theoretically optimal polygenic score of endurance. This research aims (1) to ana - lyse the TGS in the Lithuanian popul a - tion and in the athlete groups according genetic variants (ACE I/D, ACTN3 C/T, PPARGC1A G/A, PPAR G/C, PPARG C/G), associated with the physical capacity; (2) to determine the probability for the occurrence of Lithuanian individuals with the “perfect” physical performance.
Participants and methods. According to W—F method, Lithuanian TGS was evaluated in athl ete group (n=193) and control untrained population (n=250). The genotyping was performed with restriction fragment length polymorphism technique.
Results. In Lithuanian population, mean endurance TGS was 66.4±13.2, where in athletes it was 65.6±13.8. The 8.3% of the athletes and the 4.3% of the controls had TGS close to 90. A single athlete had an “ideal” TGS for endurance (TGS = 100). The elite athletes’ speed/power TGS (44.4±11.3) was larger than sub-elite (36.7±16.2), non-elite (32.6±13.2) and controls (33.64±13.2) (p<0.05). Each 99th Lithuanian can possess a TGS for endurance, and only every 132650th can have the “optimal” TGS for speed/power.
Conclusions. In Lithuanian population “optimal” TGS for endurance is more often found than TGS for speed/power. We have identified a TGS that allows us to distinguish elite power athtetes from nonathletic Lithuanian population according five genetic variants, associated with the human physical capacity.
Keywords: total genotype score, physt - cal performance, genetic variants.
