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Genetic predictors of match performance in sub-elite Australian football players: A pilot study
BACKGROUND/OBJECTIVE: The current study aimed to determine whether previously identified candidate polymorphisms were associated with match performance in sub-elite Australian Rules Football (ARF) players. METHODS: The genotypes of thirty players were analysed along with 3x1-kilometre time trial res...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Society of Chinese Scholars on Exercise Physiology and Fitness
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353729/ https://www.ncbi.nlm.nih.gov/pubmed/30740132 http://dx.doi.org/10.1016/j.jesf.2018.10.007 |
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author | Jacob, Ysabel Chivers, Paola Anderton, Ryan S. |
author_facet | Jacob, Ysabel Chivers, Paola Anderton, Ryan S. |
author_sort | Jacob, Ysabel |
collection | PubMed |
description | BACKGROUND/OBJECTIVE: The current study aimed to determine whether previously identified candidate polymorphisms were associated with match performance in sub-elite Australian Rules Football (ARF) players. METHODS: The genotypes of thirty players were analysed along with 3x1-kilometre time trial results, ARF-specific skill assessments (handball and kicking), and match performance (direct game involvements) per minute (DGIs/min) to investigate if there was a relationship between any of the variables. RESULTS: Results support previous findings that aerobic time trials are a significant predictor of DGIs/min in sub-elite ARF players. Significant associations were found for genotypes ADRB2 CC (p = .001), PPARGC1A AA (p = .001), PPARGC1A AG (p < .001), ACE ID (p < .001), COMT AA (p = .003), BDNF AG (p = .008), ADRB1 CC (p = .018) and ADRB3 CC (p = .010) and the 3x1-kilometre time trials (p < .001). In the current study, a variant in the DRD2 gene was a strong predictor of handball possessions during a match. Significance was seen for variants in the BDNF and COMT genes when the kicking and handball skill test results were combined and used in a linear mixed model to predict DGIs/min, suggesting a potential relationship with motor learning. CONCLUSIONS: The confirmation of genetic predictors of player performance in a team sport, such as ARF, suggests a portion of the physiological mechanisms of skill and ARF-specific talent may be explained by the expression of a specific number of genes. |
format | Online Article Text |
id | pubmed-6353729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Society of Chinese Scholars on Exercise Physiology and Fitness |
record_format | MEDLINE/PubMed |
spelling | pubmed-63537292019-02-08 Genetic predictors of match performance in sub-elite Australian football players: A pilot study Jacob, Ysabel Chivers, Paola Anderton, Ryan S. J Exerc Sci Fit Original Article BACKGROUND/OBJECTIVE: The current study aimed to determine whether previously identified candidate polymorphisms were associated with match performance in sub-elite Australian Rules Football (ARF) players. METHODS: The genotypes of thirty players were analysed along with 3x1-kilometre time trial results, ARF-specific skill assessments (handball and kicking), and match performance (direct game involvements) per minute (DGIs/min) to investigate if there was a relationship between any of the variables. RESULTS: Results support previous findings that aerobic time trials are a significant predictor of DGIs/min in sub-elite ARF players. Significant associations were found for genotypes ADRB2 CC (p = .001), PPARGC1A AA (p = .001), PPARGC1A AG (p < .001), ACE ID (p < .001), COMT AA (p = .003), BDNF AG (p = .008), ADRB1 CC (p = .018) and ADRB3 CC (p = .010) and the 3x1-kilometre time trials (p < .001). In the current study, a variant in the DRD2 gene was a strong predictor of handball possessions during a match. Significance was seen for variants in the BDNF and COMT genes when the kicking and handball skill test results were combined and used in a linear mixed model to predict DGIs/min, suggesting a potential relationship with motor learning. CONCLUSIONS: The confirmation of genetic predictors of player performance in a team sport, such as ARF, suggests a portion of the physiological mechanisms of skill and ARF-specific talent may be explained by the expression of a specific number of genes. The Society of Chinese Scholars on Exercise Physiology and Fitness 2019-01-20 2018-11-01 /pmc/articles/PMC6353729/ /pubmed/30740132 http://dx.doi.org/10.1016/j.jesf.2018.10.007 Text en © 2018 The Society of Chinese Scholars on Exercise Physiology and Fitness. Published by Elsevier (Singapore) Pte Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Jacob, Ysabel Chivers, Paola Anderton, Ryan S. Genetic predictors of match performance in sub-elite Australian football players: A pilot study |
title | Genetic predictors of match performance in sub-elite Australian football players: A pilot study |
title_full | Genetic predictors of match performance in sub-elite Australian football players: A pilot study |
title_fullStr | Genetic predictors of match performance in sub-elite Australian football players: A pilot study |
title_full_unstemmed | Genetic predictors of match performance in sub-elite Australian football players: A pilot study |
title_short | Genetic predictors of match performance in sub-elite Australian football players: A pilot study |
title_sort | genetic predictors of match performance in sub-elite australian football players: a pilot study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353729/ https://www.ncbi.nlm.nih.gov/pubmed/30740132 http://dx.doi.org/10.1016/j.jesf.2018.10.007 |
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