Core Concepts in Human Genetics: Understanding the Complex Phenotype of Sport Performance and Susceptibility to Sport Injury.

Medicine and sport science Pub Date : 2016-01-01 Epub Date: 2016-06-10 DOI:10.1159/000445237
William T Gibson
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引用次数: 3

Abstract

High-throughput sequencing of multiple human exomes and genomes is rapidly identifying rare genetic variants that cause or contribute to disease. Microarray-based methodologies have also shed light onto the genes that contribute to common, non-disease human traits such as hair and eye colour. Sport scientists should keep in mind several things when interpreting the literature, and when designing their own genetic studies. First of all, most genetic association methods are more powerful for detecting disease phenotypes (such as susceptibility to injury) than they are for detecting healthy phenotypes (such as sport performance). This is because there are likely to be many more biological factors contributing to the latter, and the effect size of most of these biological factors is likely to be small. Second, implicating a particular gene in a human phenotype like athletic performance or injury susceptibility requires an unbiased population data set. Third, new types of non-coding biological variability continue to be uncovered in the human genome (e.g. epigenetic modifications, microRNAs, etc.). These other types of variability may contribute significantly to differences in athletic performance.

人类遗传学的核心概念:了解运动表现的复杂表型和对运动损伤的易感性。
多个人类外显子组和基因组的高通量测序正在快速识别导致或促成疾病的罕见遗传变异。基于微阵列的方法还揭示了导致常见的、非疾病的人类特征(如头发和眼睛颜色)的基因。体育科学家在解释文献和设计自己的基因研究时,应该记住几件事。首先,大多数遗传关联方法在检测疾病表型(如对损伤的易感性)方面比检测健康表型(如运动表现)更有效。这是因为可能有更多的生物因素对后者起作用,而这些生物因素中的大多数的效应大小可能很小。其次,在人类表型(如运动表现或损伤易感性)中暗示特定基因需要无偏倚的群体数据集。第三,人类基因组中不断发现新的非编码生物变异类型(如表观遗传修饰、microRNAs等)。这些其他类型的变异可能对运动表现的差异有重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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