Universidad Francisco de Vitoria, Faculty of Medicine, Research Unit, Pozuelo de Alarcón, Madrid 28223, Spain.
University of Valladolid, Valladolid 47002, Spain.
Appl Physiol Nutr Metab. 2020 Nov;45(11):1225-1231. doi: 10.1139/apnm-2020-0174. Epub 2020 May 7.
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 versus nonathlete controls. Genotype frequencies in 123 male elite endurance athletes (75 professional road cyclists and 48 elite endurance runners) and 122 male nonathlete participants were compared by assessing 4 genetic polymorphisms: c.34C/T (rs17602729), c.1444G/A (rs8192678) c.187C/G (rs1799945) and 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 nonathlete 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% confidence interval: 1.244-1.762; < 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. Genetic profile in energy generation and iron-metabolising genes in elite endurance athletes is different than that of nonathletes. There is an implication of an "optimal" genetic profile in the selected genes favouring endurance sporting performance.
有关能量和铁代谢基因与耐力表现关联的信息很少。本研究的目的是比较参与能量产生和铁代谢的基因的多态性变异在精英耐力运动员与非运动员对照组中的频率。通过评估 4 种遗传多态性：c.34C/T（rs17602729）、c.1444G/A（rs8192678）、c.187C/G（rs1799945）和 c.845G/A（rs1800562），比较了 123 名男性精英耐力运动员（75 名职业公路自行车手和 48 名精英耐力跑者）和 122 名男性非运动员参与者的基因型频率。在非运动员人群中，加权基因型评分（w-TGS；0 到 100 个任意单位（a.u.））值较低（39.962±14.654 a.u.），而在精英耐力运动员组中则较高（53.344±17.053 a.u.）。二元逻辑回归分析显示，w-TGS 值>38.975 a.u 的参与者达到精英运动员状态的优势比为 1.481（95%置信区间：1.244-1.762；<0.001）。参与能量产生和铁代谢的多态性变异的基因型分布在精英耐力运动员与对照组之间存在差异。因此，这些基因中存在最佳遗传谱可能有助于运动员状态下的身体耐力。精英耐力运动员的能量产生和铁代谢基因的遗传谱与非运动员不同。在选定基因中存在“最佳”遗传谱，有利于耐力运动表现。
