A Potential Endurance Algorithm Prediction in the Field of Sports Performance.

ABSTRACT: Sport performance is influenced by several factors, including genetic susceptibility. In the past years, specific single nucleotide polymorphisms have been associated to sport performance; however, these effects should be considered in multivariable prediction systems since they are related to a polygenic inheritance. The aim of this study was to design a genetic endurance prediction score (GES) of endurance performance and analyze its association with anthropometric, nutritional and sport efficiency variables in a cross-sectional study within fifteen male cyclists. A statistically significant positive relationship between GES and the VO₂ maximum (P = 0.033), VO₂ VT1 (P = 0.049) and VO₂ VT2 (P < 0.001) was observed. Moreover, additional

SUBMITTER: de la Iglesia R 

PROVIDER: S-EPMC7431952 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature