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. 2017 Mar;34(1):31-33.
doi: 10.5114/biolsport.2017.63385. Epub 2016 Nov 11.

Letter to the editor: A genetic-based algorithm for personalized resistance training

A Karanikolou  1 , G Wang  1 , Y Pitsiladis  1
Affiliations

Letter to the editor: A genetic-based algorithm for personalized resistance training

A Karanikolou et al. Biol Sport. 2017 Mar.

Abstract

In a recent paper entitled "A genetic-based algorithm for personalized resistance training", Jones et al. [1] presented an algorithm of 15 performance-associated gene polymorphisms that they propose can determine an athlete's training response by predicting power and endurance potential. However, from the design of their studies and the data provided, there is no evidence to support these authors' assertions. Progress towards such a significant development in the field of sport and exercise genomics will require a paradigm shift in line with recent recommendations for international collaborations such as the Athlome Project (see www.athlomeconsortium.org). Large-scale initiatives, involving numerous multi-centre and well-phenotyped exercise training and elite performance cohorts, will be necessary before attempting to derive and replicate training and/or performance algorithms.

Keywords: Athletes; Athletic performance; Genetic polymorphism; Personalised training; Talent identification.

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Conflict of interest statement

The authors declared no conflict of interests regarding the publication of this manuscript.

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