Letter to the editor: Are the doors opened to a genetic-based algorithm for personalized resistance training?
- PMID: 28416893
- PMCID: PMC5377556
- DOI: 10.5114/biolsport.2017.63384
Letter to the editor: Are the doors opened to a genetic-based algorithm for personalized resistance training?
Keywords: Genetic polymorphism; Personalized training; Precision athletics; Precision medicine; Sports genomics.
Conflict of interest statement
The authors declared no conflict of interests regarding the publication of this manuscript.
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References
-
- Sundet JM, Magnus P, Tambs K. The heritability of maximal aerobic power: a study of Norwegian twins. Scand J Med Sci Sports. 1994;4(3):181–5.
-
- Bouchard C, Daw EW, Rice T, Pérusse L, Gagnon J, Province M a, et al. Familial resemblance for VO2max in the sedentary state: the HERITAGE family study. Med Sci Sports Exerc. 1998;30:252–8. - PubMed
-
- Bouchard C, An P, Rice T, Skinner JS, Wilmore JH, Gagnon J, et al. Familial aggregation of VO2 max response to exercise training: results from the HERITAGE Family Study. J Appl Physiol. 1999;87(3):1003–8. - PubMed
-
- Bouchard C. Genomic predictors of trainability. Exp Physiol. 2012 Mar;97(3):347–52. - PubMed
-
- Akimoto AK, Miranda-Vilela AL, Alves PCZ, Pereira LCDS, Lordelo GS, Hiragi CDO, et al. Evaluation of gene polymorphisms in exercise-induced oxidative stress and damage. Free Radic Res. 2010;44(3):322–31. - PubMed
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