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

• Published in: Biology of sport Vol. 1; no. 1; pp. 31 - 33
• Main Authors: Karanikolou, A, Wang, G, Pitsiladis, Y
• Format: Journal Article
• Language: English
• Published: Poland Termedia Publishing House 01.01.2017; Institute of Sport in Warsaw
• Subjects: Algorithms; Athletes; Athletic performance; Gene polymorphism; Genetic polymorphism; Letter to the Editor; Personalised training; Physical training; Strength training; Talent identification; Talent identification; Personalised training; Athletes; Athletic performance; Genetic polymorphism
• ISSN: 0860-021X; 2083-1862; 2083-1862
• DOI: 10.5114/biolsport.2017.63385

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.