ALESSANDRA AMATO1, GIUSEPPE MESSINA1, VALENTINA CONTRÒ1, ALESSIA SACCO1, PATRIZIA PROIA1
1Dipartimento di Scienze Psicologiche, Pedagogiche e della Formazione, Università degli Studi di Palermo, Italia
Introduction: The purpose of this study was to demonstrate the effectiveness of the TGS calculation method to identify genetic athletic predisposition in two groups of basketball and soccer players based on genetics analysis.
Through the genetic profile we calculated, by an algorithm, the TGS (Total Genetic Score) in both groups; this idea comes from the concept that it’s better to personalized workout based on athlete genetic profile. Identifying specifically performance demands (based on the metabolism system used during performance, aerobic or anaerobic) and paying attention to the perfor- mance-enhancing genes and their polymorphisms, is important focus it in order to build personalized and successful training for every single athlete.
Materials and methods: We considered two groups of professional athletes: 21 basketball players and 21 soccer players both involved in professional championships. For the genetic analysis a saliva sample was taken from athletes, and the polymor- phisms were analysed: ACE; ACTN3; CK-MM; PPARα; PPARγC1; NRF2 A/G; NRF2 C/T. Each genotype was scored from 0 to 2 depending on whether they were more related to resistance or power activity. The sum of these scores generates the total TGS for each athlete and was compared both for resistance and power.
Results: Our results indicate that professional basketball players have a power-related TGS higher than the resistance- related conversely the football players, that have a resistance-related TGS greater than power-related one.
Conclusion: TGS can be a useful tool to identify the genetic predisposition of the athlete starting from the genetic analysis of some PEPs, regardless of the type and number of genes analysed.
genetics analysis, polymorphisms, performance demands, basketball, soccer