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

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)31-33
Number of pages3
JournalBiology of Sport
Volume34
DOIs
Publication statusPublished - 11 Nov 2016

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Sports
Polymorphism
Durability
Genes
Genomics

Cite this

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title = "Letter to the editor: a genetic-based algorithm for personalized resistance training",
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.",
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Letter to the editor: a genetic-based algorithm for personalized resistance training. / Pitsiladis, Yannis; Wang, Guan.

In: Biology of Sport, Vol. 34, 11.11.2016, p. 31-33.

Research output: Contribution to journalArticle

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