RT Journal Article
T1 Genetic profiles to identify talents in elite endurance athletes and professional football players
A1 Varillas Delgado, David
A1 Morencos, Esther
A1 Gutiérrez Hellín, Jorge
A1 Aguilar Navarro, Millán
A1 Muñoz, Alejandro
A1 Mendoza Láiz, Nuria
A1 Perucho Alcalde, Teresa
A1 Maestro, Antonio
A1 Tellería Orriols, Juan José
AB The genetic profile that is needed to identify talents has been studied extensively in recent years. The main objective of this investigation was to approach, for the first time, the study of genetic variants in several polygenic profiles and their role in elite endurance and professional football performance by comparing the allelic and genotypic frequencies to the non-athlete population. In this study, genotypic and allelic frequencies were determined in 452 subjects: 292 professional athletes (160 elite endurance athletes and 132 professional football players) and 160 non-athlete subjects. Genotyping of polymorphisms in liver metabolisers (CYP2D6, GSTM1, GSTP and GSTT), iron metabolism and energy efficiency (HFE, AMPD1 and PGC1a), cardiorespiratory fitness (ACE, NOS3, ADRA2A, ADRB2 and BDKRB2) and muscle injuries (ACE, ACTN3, AMPD1, CKM and MLCK) was performed by Polymerase Chain Reaction-Single Nucleotide Primer Extension (PCR-SNPE). The combination of the polymorphisms for the “optimal” polygenic profile was quantified using the genotype score (GS) and total genotype score (TGS). Statistical differences were found in the genetic distributions between professional athletes and the non-athlete population in liver metabolism, iron metabolism and energy efficiency, and muscle injuries (p<0.001). The binary logistic regression model showed a favourable OR (odds ratio) of being a professional athlete against a non-athlete in liver metabolism (OR: 1.96; 95% CI: 1.28–3.01; p = 0.002), iron metabolism and energy efficiency (OR: 2.21; 95% CI: 1.42–3.43; p < 0.001), and muscle injuries (OR: 2.70; 95% CI: 1.75–4.16; p < 0.001) in the polymorphisms studied. Genetic distribution in professional athletes as regards endurance (professional cyclists and elite runners) and professional football players shows genetic selection in these sports disciplines.
PB Public Library of Science
SN 1932-6203
YR 2022
FD 2022-09-16
LK https://hdl.handle.net/20.500.14352/124993
UL https://hdl.handle.net/20.500.14352/124993
LA eng
NO Varillas-Delgado D, Morencos E, Gutiérrez-Hellín J, Aguilar-Navarro M, Muñoz A, Mendoza Láiz N, et al. (2022) Genetic profiles to identify talents in elite endurance athletes and professional football players. PLoS ONE 17(9): e0274880. https://doi.org/10.1371/journal.pone.0274880
NO This work was supported by grant from the Universidad Francisco de Vitoria (UFV) through the project “Genetic profile of elite and high-performance Caucasian athletes; comparison between endurance, power sports and non-athlete population” (UFV2020-18) (DV-D).
NO Universidad Francisco de Vitoria
DS Docta Complutense
RD 24 dic 2025