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

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

Text Letter to the editor- a genetic-based algorithm for personalized resistance training.pdf - Accepted Version Restricted to Registered users only Download (522kB)

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

Actions (login required)

View Item

Downloads