Literature DB >> 31571205

Total genotype score and athletic status: An exploratory cross-sectional study of a Brazilian athlete cohort.

João Paulo Limongi França Guilherme1, Antonio Herbert Lancha1.   

Abstract

The purpose of the present study was to explore the ability of the total genotype score (TGS) for evaluation of the polygenic profile of elite athletes. Data from a Brazilian athlete cohort were used in this study, which included 368 athletes and 818 nonathletes. The TGS targeted to power athletes was computed using from two to 10 associated polymorphisms. In all models, the power group showed a higher TGS mean compared to the nonathlete group. In particular, scores using more associated polymorphisms showed stronger differences (P < 0.0001). Moreover, the more polymorphisms included in the score, the greater its discriminatory power. The frequency distribution of individuals according to the TGS computed using 10 associated polymorphisms showed that both the power group and the replication group were overrepresented in scores ≥60.0 (P < 0.0075). Individuals with a score ≥60.0 had an increased odds ratio (OR) of being an elite athlete compared to the nonathlete group (OR > 2.03; P < 0.006), although there were athletes with TGS values ranging from 15.0 to 90.0. By setting 60.0 as the cutoff point, the sensitivity and specificity of the TGS was approximately 30% and 82.5%, respectively. In conclusion, the TGS computed using 10 associated polymorphisms proved to be effective in discriminating the target athlete group, but with limited accuracy as evidenced by its sensitivity rate.
© 2019 John Wiley & Sons Ltd/University College London.

Keywords:  athletes; athletic status; polygenic profile; polymorphisms; sports genetics

Mesh:

Year:  2019        PMID: 31571205     DOI: 10.1111/ahg.12353

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  2 in total

1.  Genomic predictors of testosterone levels are associated with muscle fiber size and strength.

Authors:  João Paulo L F Guilherme; Ekaterina A Semenova; Oleg V Borisov; Andrey K Larin; Ethan Moreland; Edward V Generozov; Ildus I Ahmetov
Journal:  Eur J Appl Physiol       Date:  2021-11-18       Impact factor: 3.078

2.  Total Genotype Score Modelling of Polygenic Endurance-Power Profiles in Lithuanian Elite Athletes.

Authors:  Erinija Pranckeviciene; Valentina Gineviciene; Audrone Jakaitiene; Laimonas Januska; Algirdas Utkus
Journal:  Genes (Basel)       Date:  2021-07-13       Impact factor: 4.096

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.