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澳大利亚次精英足球运动员比赛表现的遗传预测因素:一项初步研究。

Genetic predictors of match performance in sub-elite Australian football players: A pilot study.

作者信息

Jacob Ysabel, Chivers Paola, Anderton Ryan S

机构信息

School of Health Sciences, University of Notre Dame Australia, Fremantle, Australia.

Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia.

出版信息

J Exerc Sci Fit. 2019 Jan 20;17(2):41-46. doi: 10.1016/j.jesf.2018.10.007. Epub 2018 Nov 1.

Abstract

The current study aimed to determine whether previously identified candidate polymorphisms were associated with match performance in sub-elite Australian Rules Football (ARF) players. The genotypes of thirty players were analysed along with 3x1-kilometre time trial results, ARF-specific skill assessments (handball and kicking), and match performance (direct game involvements) per minute (DGIs/min) to investigate if there was a relationship between any of the variables. Results support previous findings that aerobic time trials are a significant predictor of DGIs/min in sub-elite ARF players. Significant associations were found for genotypes CC ( = .001), AA ( = .001), AG ( < .001), ID ( < .001), AA ( = .003), AG ( = .008), CC ( = .018) and CC ( = .010) and the 3x1-kilometre time trials ( < .001). In the current study, a variant in the gene was a strong predictor of handball possessions during a match. Significance was seen for variants in the and genes when the kicking and handball skill test results were combined and used in a linear mixed model to predict DGIs/min, suggesting a potential relationship with motor learning. The confirmation of genetic predictors of player performance in a team sport, such as ARF, suggests a portion of the physiological mechanisms of skill and ARF-specific talent may be explained by the expression of a specific number of genes.

摘要

本研究旨在确定先前鉴定出的候选多态性是否与澳大利亚式橄榄球(ARF)次级精英球员的比赛表现相关。分析了30名球员的基因型,同时分析了3次1公里计时赛成绩、ARF特定技能评估(手球和踢球)以及每分钟的比赛表现(直接参与比赛次数,DGIs/min),以研究这些变量之间是否存在关系。结果支持了先前的研究发现,即有氧计时赛是ARF次级精英球员每分钟直接参与比赛次数的重要预测指标。发现基因型CC(p = 0.001)、AA(p = 0.001)、AG(p < 0.001)、ID(p < 0.001)、AA(p = 0.003)、AG(p = 0.008)、CC(p = 0.018)和CC(p = 0.010)与3次1公里计时赛(p < 0.001)之间存在显著关联。在本研究中,某基因的一个变体是比赛中手球控球次数的有力预测指标。当将踢球和手球技能测试结果合并并用于线性混合模型以预测每分钟直接参与比赛次数时,发现某基因和另一基因的变体具有显著性,这表明与运动学习可能存在潜在关系。在团队运动如ARF中对球员表现的遗传预测指标的确认表明,技能和ARF特定天赋的部分生理机制可能由特定数量基因的表达来解释。

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