Key result
Effective use of genetic information for exercise prescription requires a clear mechanistic understanding of how specific SNPs mediate physical performance to avoid misleading inferences.
The editorial emphasizes the need for clear mechanistic explanations rather than superficial associations when using genetic information for exercise prescription.
The potential of recent advances in genetics research to supplement elite sport decision-making has potentially extensive implications, but remains highly controversial. One potential application is the use of genetic information to enhance exercise prescription, thereby positively influencing athletic performance and public health domains. Recent research suggests that this is both feasible and potentially beneficial.1 2 However, such an effective use of genetic information requires a clear understanding of the mechanism by which each reported single nucleotide polymorphism (SNP) mediates physical performance. In the absence of such a clear, mechanistic explanation, we are left with vague associations without causative roots. While uncovering gene associations is necessary, it is not sufficient to presume causation. Given the complex entangled routes through which genes and environment interact to express phenotype, superficial association-based logical inferences are likely to be misleading. As an example, within the HEalth, RIsk factors, exercise Training And GEnetics (HERITAGE) Family Study, variation in CREB1 (rs2253206) predicted heart rate (HR) response to exercise.3 Specifically, the A allele associated with a smaller reduction in HR during a submaximal exercise test following training, with the proposed mechanism relating to long-term cardiac memory. …
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Pickering et al. (2017) conducted an editorial in Exercise genetics. Genetic information was evaluated. Effective use of genetic information for exercise prescription requires a clear mechanistic understanding of how specific SNPs mediate physical performance to avoid misleading inferences.
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