Key result
Genetic testing lacks sufficient predictive power for soft tissue injury prevention in clinical practice.
Why the study?
Candidate gene analyses for non-contact soft tissue injuries have often yielded inconclusive results, prompting an evaluation of genetic variants and the practical application of genetic testing.
Does genetic testing accurately predict susceptibility to non-contact soft tissue injuries?
Does genetic testing accurately predict susceptibility to non-contact soft tissue injuries?
Current genetic testing methods have low predictive power for non-contact soft tissue injury predisposition and lack clinical applicability for personalized injury prevention.
Answers are grounded in this paper and cite their sources.
Genetic testing should not guide injury prevention in practice; leaves open refined polygenic approaches for future research.
Physical activity increases the risk of non-contact injuries, mainly affecting muscles, tendons, and ligaments. Genetic factors are recognized as contributing to susceptibility to different types of soft tissue injuries, making this broad condition a complicated multifactorial entity. Understanding genetic predisposition seems to offer the potential for personalized injury prevention and improved recovery strategies. The candidate gene analysis approach used so far, has often yielded inconclusive results. This manuscript reviews the most commonly studied genetic variants in genes involved in the musculoskeletal system’s structure and recovery processes (ACTN3, ACE, CKM, MLCK, AMPD1, IGF2, IL6, TNFα, CCL2, COL1A1, COL5A1, MMP3, and TNC). Referring to the literature, it was highlighted that single-gene analyses provide limited insight. On the other hand, novel genetic testing methods identify numerous variants of uncertain physiological relevance. Distinguishing between functionally important variants, modifying variants, and the thousands of irrelevant variants requires advanced bioinformatics methods and basic multiomics research to identify the key biological pathways contributing to injury susceptibility. Tools like the Total Genotype Score (TGS) and Polygenic Risk Score (PRS) offer a more holistic view by assessing the combined effect of multiple variants. However, these methods, while useful in research, lack clinical applicability. In conclusion, it is too early to determine the clinical implications of genetic variability as a tool for improving well-established training and injury prevention methods, as the predictive power of genetic testing for injury predisposition is currently low.
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Borzemska et al. (2024) conducted a review in Non-contact soft tissue injuries. Genetic testing for injury predisposition was evaluated. The predictive power of genetic testing for soft tissue injury predisposition is currently low, making it too early to apply genetic variability for personalized injury prevention in clinical practice.
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