ArticleBiology of sport2017
Letter to the editor: A genetic-based algorithm for personalized resistance training.
Article in Biology of sport, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Genetic test for the personalization of sport training.Acta bio-medica : Atenei Parmensis · 2020Review
- Genetic variants associated with exercise performance in both moderately trained and highly trained individuals.Molecular genetics and genomics : MGG · 2020Article
- The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance.Journal of functional morphology and kinesiology · 2019Review
- Sport Nutrigenomics: Personalized Nutrition for Athletic Performance.Frontiers in nutrition · 2019Review
- The current use, and opinions of elite athletes and support staff in relation to genetic testing in elite sport within the UK.Biology of sport · 2018Article
- A response to letter to the editor: A genetic-based algorithm for personalized resistance training.Biology of sport · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.