Literature DB >> 32379996

Genotype scores in energy and iron-metabolising genes are higher in elite endurance athletes than in non-athlete controls.

David Varillas Delgado1, Juan José Tellería Orriols2, Diana Monge Martín3, Juan Del Coso4.   

Abstract

Information about the association of energy and iron-metabolising genes with endurance performance is scarce. The objective of this investigation was to compare the frequencies of polymorphic variations of genes involved in energy generation and iron metabolism in elite endurance athletes vs. non-athlete controls. Genotype frequencies in 123 male elite endurance athletes (75 professional road cyclists and 48 elite endurance runners) and 122 male non-athlete participants were compared by assessing four genetic polymorphisms: AMPD1 c.34C/T (rs17602729), PPARGC1A c.1444G/A (rs8192678) HFEH63D c.187C/G (rs1799945) and HFEC282Y c.845G/A (rs1800562). A weighted genotype score (w-TGS: from 0 to 100 arbitrary units; a.u.) was calculated by assigning a corresponding weight to each polymorphism. In the non-athlete population, the mean w-TGS value was lower (39.962±14.654 a.u.) than in the group of elite endurance athletes (53.344±17.053 a.u). The binary logistic regression analysis showed that participants with a w-TGS>38.975 a.u had an odds ratio of 1.481 (95%CI: 1.244-1.762; p<0.001) for achieving elite athlete status. The genotypic distribution of polymorphic variations involved in energy generation and iron metabolism was different in elite endurance athletes vs. controls. Thus, an optimal genetic profile in these genes might contribute to physical endurance in athlete status. Novelty 1. Genetic profile in energy generation and iron-metabolising genes in elite endurance athletes is different than non-athlete´s. 2. There is an implication of an "optimal" genetic profile in the selected genes favouring endurance sporting performance.

Entities:  

Year:  2020        PMID: 32379996     DOI: 10.1139/apnm-2020-0174

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  7 in total

1.  Genetic Influence in Exercise Performance.

Authors:  Juan Del Coso; Alejandro Lucia
Journal:  Genes (Basel)       Date:  2021-04-27       Impact factor: 4.096

2.  Association of Genetic Variances in ADRB1 and PPARGC1a with Two-Kilometre Running Time-Trial Performance in Australian Football League Players: A Preliminary Study.

Authors:  Ysabel Jacob; Ryan S Anderton; Jodie L Cochrane Wilkie; Brent Rogalski; Simon M Laws; Anthony Jones; Tania Spiteri; Nicolas H Hart
Journal:  Sports (Basel)       Date:  2021-01-29

3.  Muscle Work and Its Relationship with ACE and ACTN3 Polymorphisms Are Associated with the Improvement of Explosive Strength.

Authors:  Alberto Melián Ortiz; Sofía Laguarta-Val; David Varillas-Delgado
Journal:  Genes (Basel)       Date:  2021-07-29       Impact factor: 4.096

Review 4.  Genetics and sports performance: the present and future in the identification of talent for sports based on DNA testing.

Authors:  David Varillas-Delgado; Juan Del Coso; Jorge Gutiérrez-Hellín; Millán Aguilar-Navarro; Alejandro Muñoz; Antonio Maestro; Esther Morencos
Journal:  Eur J Appl Physiol       Date:  2022-04-16       Impact factor: 3.346

5.  Genetic profiles to identify talents in elite endurance athletes and professional football players.

Authors:  David Varillas-Delgado; Esther Morencos; Jorge Gutiérrez-Hellín; Millán Aguilar-Navarro; Alejandro Muñoz; Nuria Mendoza Láiz; Teresa Perucho; Antonio Maestro; Juan José Tellería-Orriols
Journal:  PLoS One       Date:  2022-09-16       Impact factor: 3.752

Review 6.  Genetics of long-distance runners and road cyclists-A systematic review with meta-analysis.

Authors:  Magdalena Johanna Konopka; Jorn Carlos Maria Leonardus van den Bunder; Gerard Rietjens; Billy Sperlich; Maurice Petrus Zeegers
Journal:  Scand J Med Sci Sports       Date:  2022-07-26       Impact factor: 4.645

7.  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

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.