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基因与精英运动员:未来研究的路线图。

Genes and elite athletes: a roadmap for future research.

机构信息

Department of Nutrition, Faculty of Health Sciences, Ariel University Center, Israel.

出版信息

J Physiol. 2011 Jul 1;589(Pt 13):3063-70. doi: 10.1113/jphysiol.2011.207035. Epub 2011 May 3.

Abstract

There is compelling evidence that genetic factors influence several phenotype traits related to physical performance and training response as well as to elite athletic status. Previous case-control studies showed that ∼20 genetic variants seem to be associated with elite endurance athletic status. The present review aims to introduce novel methodological approaches in the field of sports genetics research, which can be applied in the near future to analyse the genotype profile associated with elite athletic status. These include genotype-phenotype association studies using gene expression analysis, analysis of post-transcriptional factors, particularly microRNAs, genome-wide scan linkage or genome-wide association studies, and novel algorithm approaches, such as 'genotype scores'. Several gaps in the current body of knowledge have been identified including, among others: small sample size of most athletic cohorts, lack of corroboration with replication cohorts of different ethnic backgrounds (particularly, made up of non-Caucasian athletes), the need of research accounting for the potential role of epigenetics in elite athletic performance, and also the need for future models that take into account the association between athletic status and complex gene-gene and gene-environment interactions. Some recommendations are provided to minimize research limitations in the field of sport genetics.

摘要

有确凿的证据表明,遗传因素会影响与身体表现和训练反应以及精英运动员状态相关的多种表型特征。之前的病例对照研究表明,大约有 20 种遗传变异似乎与精英耐力运动员状态有关。本综述旨在介绍运动遗传学研究领域的新方法,这些方法在不久的将来可以用于分析与精英运动员状态相关的基因型特征。这些方法包括使用基因表达分析的基因型-表型关联研究、分析转录后因子(特别是 microRNA)、全基因组扫描连锁或全基因组关联研究,以及新的算法方法,如“基因型评分”。目前的知识体系中存在一些空白,包括:大多数运动员队列的样本量小、缺乏不同种族背景(特别是由非白种人运动员组成)的复制队列的证实、需要研究考虑到表观遗传学在精英运动员表现中的潜在作用,以及未来的模型需要考虑到运动员状态与复杂的基因-基因和基因-环境相互作用之间的关联。提供了一些建议,以尽量减少运动遗传学领域研究的局限性。

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