ReviewJournal of exercise nutrition & biochemistry2015
Effective utilization of genetic information for athletes and coaches: focus on ACTN3 R577X polymorphism.
Review in Journal of exercise nutrition & biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Association of the ACTN3 R577X (rs1815739) polymorphism with elite power sports: A meta-analysis.PloS one · 2019Pooled it
- Reevaluating the total genotype score: a practical perspective from applied sport science.Journal of applied genetics · 2025Article
- Genomic information in the decision-making process for the training of a high-performance brazilian swimmer: a case report.Frontiers in genetics · 2025Article
- Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study.Journal of biomedical science · 2021Article
- Muscular Strength and Quality of Life in Older Adults: The Role ofInternational journal of environmental research and public health · 2021Article
- Responses to Maximal Strength Training in Different Age and Gender Groups.Frontiers in physiology · 2021Article
- Distribution of α-actinin-3 rs1815739 and angiotensin-1 converting enzyme InDel polymorphisms in Turkish bodybuilders.Biomedical reports · 2020Article
- Relationships between the Expression of theJournal of human kinetics · 2019Article
- The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance.Journal of functional morphology and kinesiology · 2019Review
- Angiotensin-Converting Enzyme Related-Polymorphisms on Inflammation, Muscle and Myocardial Damage After a Marathon Race.Frontiers in genetics · 2019Article
- Association Between Hematological Parameters and Iron Metabolism Response After Marathon Race andFrontiers in physiology · 2019Article
- Review
- Letter to the editor: Are the doors opened to a genetic-based algorithm for personalized resistance training?Biology of sport · 2017Article
- Review
- Exercise genetics: seeking clarity from noise.BMJ open sport & exercise medicine · 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Training variants (type, intensity, and duration of exercise) can be selected according to individual aims and fitness assessment. Recently, various methods of resistance and endurance training have been used for muscle hypertrophy and VO2max improvement. Although several genetic variants are associated with elite athletic performance and muscle phenotypes, genetic background has not been used as variant for physical training. ACTN3 R577X is a well-studied genetic polymorphism. It is the only genotype associated with elite athletic performance in multiple cohorts. This association is strongly supported by mechanistic data from an Actn3-knockout mouse model. In this review, possible guidelines are discussed for effective utilization of ACTN3 R577X polymorphism for physical training.
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Identifiers
What OpenQuestion holds
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.