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Letter to the editor: A genetic-based algorithm for personalized resistance training
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, fr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Institute of Sport in Warsaw
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5377557/ https://www.ncbi.nlm.nih.gov/pubmed/28416894 http://dx.doi.org/10.5114/biolsport.2017.63385 |
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author | Karanikolou, A Wang, G Pitsiladis, Y |
author_facet | Karanikolou, A Wang, G Pitsiladis, Y |
author_sort | Karanikolou, A |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5377557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Institute of Sport in Warsaw |
record_format | MEDLINE/PubMed |
spelling | pubmed-53775572017-04-17 Letter to the editor: A genetic-based algorithm for personalized resistance training Karanikolou, A Wang, G Pitsiladis, Y Biol Sport Letter to the Editor 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. Institute of Sport in Warsaw 2016-11-11 2017-03 /pmc/articles/PMC5377557/ /pubmed/28416894 http://dx.doi.org/10.5114/biolsport.2017.63385 Text en Copyright © Biology of Sport 2017 http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letter to the Editor Karanikolou, A Wang, G Pitsiladis, Y Letter to the editor: A genetic-based algorithm for personalized resistance training |
title | Letter to the editor: A genetic-based algorithm for personalized resistance training |
title_full | Letter to the editor: A genetic-based algorithm for personalized resistance training |
title_fullStr | Letter to the editor: A genetic-based algorithm for personalized resistance training |
title_full_unstemmed | Letter to the editor: A genetic-based algorithm for personalized resistance training |
title_short | Letter to the editor: A genetic-based algorithm for personalized resistance training |
title_sort | letter to the editor: a genetic-based algorithm for personalized resistance training |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5377557/ https://www.ncbi.nlm.nih.gov/pubmed/28416894 http://dx.doi.org/10.5114/biolsport.2017.63385 |
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