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The combined impact of metabolic gene polymorphisms on elite endurance athlete status and related phenotypes

机译:代谢基因多态性对优秀耐力运动员状态及相关表型的综合影响

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Endurance performance is a complex phenotype subject to the influence of both environmental and genetic factors. Although the last decade has seen a variety of specific genetic factors proposed, many in metabolic pathways, each is likely to make a limited contribution to an ‘elite’ phenotype: it seems more likely that such status depends on the simultaneous presence of multiple such variants. The aim of the study was to investigate individually and in combination the association of common metabolic gene polymorphisms with endurance athlete status, the proportion of slow-twitch muscle fibers and maximal oxygen consumption. A total of 1,423 Russian athletes and 1,132 controls were genotyped for 15 gene polymorphisms, of which most were previously reported to be associated with athlete status or related intermediate phenotypes. Muscle fiber composition of m. vastus lateralis in 45 healthy men was determined by immunohistochemistry. Maximal oxygen consumption of 50 male rowers of national competitive standard was determined during an incremental test to exhaustion on a rowing ergometer. Ten ‘endurance alleles’ (NFATC4 Gly160, PPARA rs4253778 G, PPARD rs2016520 C, PPARGC1A Gly482, PPARGC1B 203Pro, PPP3R1 promoter 5I, TFAM 12Thr, UCP2 55Val, UCP3 rs1800849 T and VEGFA rs2010963 C) were first identified showing discrete associations with elite endurance athlete status. Next, to assess the combined impact of all 10 gene polymorphisms, all athletes were classified according to the number of ‘endurance’ alleles they possessed. The proportion of subjects with a high (≥9) number of ‘endurance’ alleles was greater in the best endurance athletes compared with controls (85.7 vs. 37.8%, P = 7.6 × 10−6). The number of ‘endurance’ alleles was shown to be positively correlated (r = 0.50; P = 4.0 × 10−4) with the proportion of fatigue-resistant slow-twitch fibers, and with maximal oxygen consumption (r = 0.46; P = 7.0 × 10−4). These data suggest that the likelihood of becoming an elite endurance athlete depends on the carriage of a high number of endurance-related alleles.
机译:耐力表现是一个复杂的表型,受环境和遗传因素的影响。尽管在过去的十年中提出了各种特定的遗传因素,但许多在代谢途径中,每种都可能对“精英”表型做出有限的贡献:这种状态似乎更可能取决于多个此类变异体的同时存在。该研究的目的是单独研究并结合常见代谢基因多态性与耐力运动员状态,慢肌肌肉纤维比例和最大耗氧量之间的关系。对总共1,423名俄罗斯运动员和1,132名对照进行了15种基因多态性的基因分型,其中大多数以前被报道与运动员状态或相关的中间表型有关。肌纤维的组成通过免疫组织化学测定45名健康男性的股外侧肌。在划船测功机上进行疲劳测试的增量测试过程中,确定了50个达到国家竞争标准的雄性赛艇运动员的最大耗氧量。首先鉴定出十个``耐力等位基因''(NFATC4 Gly160,PPARA rs4253778 G,PPARD rs2016520 C,PPARGC1A Gly482,PPARGC1B 203Pro,PPP3R1启动子5I,TFAM 12Thr,UCP2 55Val,UCP3 rs1800849 T和VEGFA rs2010963s C与持久性相关)。运动员状态。接下来,为了评估所有10个基因多态性的综合影响,根据所有运动员拥有的“耐力”等位基因的数量对其进行分类。最佳耐力运动员中“耐力”等位基因数量高(≥9)的受试者比例比对照组高(85.7 vs. 37.8%,P = 7.6×10 −6 )。结果显示,“耐力”等位基因的数量与耐疲劳慢速拉伸纤维的比例以及最大的耗氧量呈正相关(r = 0.50; P = 4.0×10 −4 ) (r = 0.46; P = 7.0×10 -4 )。这些数据表明,成为优秀耐力运动员的可能性取决于携带大量与耐力相关的等位基因。

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