基因组学和运动表现：一门尚未为社会做好准备的新兴学科。

IF 3.8 3区医学 Q2 GENETICS & HEREDITY

Human Genomics Pub Date : 2025-04-12 DOI:10.1186/s40246-025-00751-8

Aikaterini Psatha, Christina Mitropoulou, George P Patrinos

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引用次数: 0

摘要

运动成绩基因组学是一门新兴的学科，具有高度的争议。根据现有的证据水平，利用现有的人类基因组学知识来预测运动和运动表现或增强现有的训练方法是不成熟的，也是高风险的。在获得更多关于基因组变异对运动成绩影响的确凿证据以及监管机构批准的基因组指导建议之前，所有遗传关联都应作为商业服务限制公众获取，因为基因组标记本身不能预测运动员在识别才能、抗损伤或从伤病中恢复的能力方面的表现。显然，遗传学与其他生理、生理甚至心理和精神特征之间复杂的相互作用，造就了一位世界级的运动员，这一点至今仍不为人所知。

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Genomics and athletic performance: an emerging discipline that is not yet ready for society.

Genomics of athletic performance is an emerging discipline with a high degree of controversy. With the existing level of evidence, it is both premature and highly risky to exploit current human genomics knowledge to predict exercise and sports performance or enhance existing training methodologies. Until more solid evidence on the influence of genomic variants in athletic performance becomes available, accompanied by regulatory approved genome-guided recommendations, all genetic associations should be restricted from general public access as commercial services, since genomic markers cannot per se predict athletic performance for talent identification, resistance to injuries or the ability to recover from them. Evidently, the complex interplay of genetics with other physical, physiological and even psychological and mental characteristics to produce a world-class athlete is still not understood.

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来源期刊

Human Genomics GENETICS & HEREDITY-

CiteScore

6.00

自引率

2.20%

发文量

审稿时长

11 weeks

期刊介绍： Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.