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

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Pitsiladis, Yannis and Wang, Guan (2016) Letter to the editor: a genetic-based algorithm for personalized resistance training Biology of Sport, 34. pp. 31-33. ISSN 0860-021X

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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.

Item Type: Journal article
Subjects: C000 Biological and Biomedical Sciences > C600 Sport and Exercise Science
L000 Social Sciences > L300 Sociology > L311 Sport and Leisure
C000 Biological and Biomedical Sciences > C400 Genetics
C000 Biological and Biomedical Sciences > C400 Genetics > C410 Applied genetics
C000 Biological and Biomedical Sciences > C400 Genetics > C420 Human genetics
C000 Biological and Biomedical Sciences > C400 Genetics > C490 Genetics not elsewhere classified
DOI (a stable link to the resource): 10.5114/biolsport.2017.63385
Depositing User: Converis
Date Deposited: 14 Sep 2016 03:01
Last Modified: 12 Apr 2017 11:51
URI: http://eprints.brighton.ac.uk/id/eprint/16009

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