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...
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doaj-16f03d403ca143698843548ccb1cd4e22020-11-25T00:48:42ZengElsevierJournal of Exercise Science & Fitness1728-869X2019-01-011724146Genetic predictors of match performance in sub-elite Australian football players: A pilot studyYsabel Jacob0Paola Chivers1Ryan S. Anderton2School of Health Sciences, University of Notre Dame Australia, Fremantle, AustraliaInstitute for Health Research, University of Notre Dame Australia, Fremantle, AustraliaSchool of Health Sciences, University of Notre Dame Australia, Fremantle, Australia; Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia; Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, Australia; Perron Institute for Neurological and Translational Science, Nedlands, Australia; Corresponding author. School of Health Sciences, University of Notre Dame Australia, Fremantle, Western Australia, 6160, Australia.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. Keywords: ACE, ACTN3, Time trial, Game involvements, Australian rules footballhttp://www.sciencedirect.com/science/article/pii/S1728869X18301667 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ysabel Jacob Paola Chivers Ryan S. Anderton |
spellingShingle |
Ysabel Jacob Paola Chivers Ryan S. Anderton Genetic predictors of match performance in sub-elite Australian football players: A pilot study Journal of Exercise Science & Fitness |
author_facet |
Ysabel Jacob Paola Chivers Ryan S. Anderton |
author_sort |
Ysabel Jacob |
title |
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_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_sort |
genetic predictors of match performance in sub-elite australian football players: a pilot study |
publisher |
Elsevier |
series |
Journal of Exercise Science & Fitness |
issn |
1728-869X |
publishDate |
2019-01-01 |
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. Keywords: ACE, ACTN3, Time trial, Game involvements, Australian rules football |
url |
http://www.sciencedirect.com/science/article/pii/S1728869X18301667 |
work_keys_str_mv |
AT ysabeljacob geneticpredictorsofmatchperformanceinsubeliteaustralianfootballplayersapilotstudy AT paolachivers geneticpredictorsofmatchperformanceinsubeliteaustralianfootballplayersapilotstudy AT ryansanderton geneticpredictorsofmatchperformanceinsubeliteaustralianfootballplayersapilotstudy |
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