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McAuley ABT, Hughes DC, Tsaprouni LG, Varley I, Suraci B, Roos TR, Herbert AJ, Kelly AL. The association of the ACTN3 R577X and ACE I/D polymorphisms with athlete status in football: a systematic review and meta-analysis. J Sports Sci 2021; 39:200-211. [PMID: 32856541 DOI: 10.1080/02640414.2020.1812195] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2020] [Indexed: 02/07/2023]
Abstract
The aim of this review was to assess the association of ACTN3 R577X and ACE I/D polymorphisms with athlete status in football and determine which allele and/or genotypes are most likely to influence this phenotype via a meta-analysis. A comprehensive search identified 17 ACTN3 and 19 ACE studies. Significant associations were shown between the presence of the ACTN3 R allele and professional footballer status (OR = 1.35, 95% CI: 1.18-1.53) and the ACE D allele and youth footballers (OR = 1.18, 95% CI: 1.01-1.38). More specifically, the ACTN3 RR genotype (OR = 1.48, 95% CI: 1.23-1.77) and ACE DD genotype (OR = 1.29, 95% CI: 1.02-1.63) exhibited the strongest associations, respectively. These findings may be explained by the association of the ACTN3 RR genotype and ACE DD genotype with power-orientated phenotypes and the relative contribution of power-orientated phenotypes to success in football. As such, the results of this review provide further evidence that individual genetic variation may contribute towards athlete status and can differentiate athletes of different competitive playing statuses in a homogenous team-sport cohort. Moreover, the ACTN3 R577X and ACE I/D polymorphisms are likely (albeit relatively minor) contributing factors that influence athlete status in football.
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Affiliation(s)
- Alexander B T McAuley
- Faculty of Health, Education and Life Sciences, Birmingham City University , Birmingham, UK
| | - David C Hughes
- Faculty of Health, Education and Life Sciences, Birmingham City University , Birmingham, UK
| | - Loukia G Tsaprouni
- Faculty of Health, Education and Life Sciences, Birmingham City University , Birmingham, UK
| | - Ian Varley
- Department of Sport Science, Nottingham Trent University , Nottingham, UK
| | - Bruce Suraci
- Academy Coaching Department, AFC Bournemouth , Bournemouth, UK
| | - Thomas R Roos
- The International Academy of Sports Science and Technology (AISTS), University of Lausanne , Lausanne, Switzerland
| | - Adam J Herbert
- Faculty of Health, Education and Life Sciences, Birmingham City University , Birmingham, UK
| | - Adam L Kelly
- Faculty of Health, Education and Life Sciences, Birmingham City University , Birmingham, UK
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Naureen Z, Perrone M, Paolacci S, Maltese PE, Dhuli K, Kurti D, Dautaj A, Miotto R, Casadei A, Fioretti B, Beccari T, Romeo F, Bertelli M. Genetic test for the personalization of sport training. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:e2020012. [PMID: 33170162 PMCID: PMC8023127 DOI: 10.23750/abm.v91i13-s.10593] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 09/16/2020] [Indexed: 11/23/2022]
Abstract
Genetic variants may contribute to confer elite athlete status. However, this does not mean that a person with favourable genetic traits would become a champion because multiple genetic interactions and epigenetic contributions coupled with confounding environmental factors shape the overall phenotype. This opens up a new area in sports genetics with respect to commercial genetic testing. The analysis of genetic polymorphisms linked to sport performance would provide insights into the potential of becoming an elite endurance or power performer. This mini-review aims to highlight genetic interactions that are associated with performance phenotypes and their potentials to be used as markers for talent identification and trainability.
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Affiliation(s)
- Zakira Naureen
- Department of Biological Sciences and Chemistry, College of Arts and Sciences, University of Nizwa, Nizwa, Oman.
| | - Marco Perrone
- Division of Cardiology, University of Rome Tor Vergata, Rome, Italy.
| | | | | | | | | | | | | | | | - Bernard Fioretti
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.
| | - Tommaso Beccari
- Department of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.
| | - Francesco Romeo
- Division of Cardiology, University of Rome Tor Vergata, Rome, Italy.
| | - Matteo Bertelli
- MAGI'S LAB, Rovereto (TN), Italy; EBTNA-LAB, Rovereto (TN), Italy; MAGI EUREGIO, Bolzano, Italy.
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3
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Genetic variants associated with exercise performance in both moderately trained and highly trained individuals. Mol Genet Genomics 2020; 295:515-523. [DOI: 10.1007/s00438-019-01639-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 12/16/2019] [Indexed: 12/11/2022]
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The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance. J Funct Morphol Kinesiol 2019; 4:jfmk4020025. [PMID: 33467340 PMCID: PMC7739422 DOI: 10.3390/jfmk4020025] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 05/13/2019] [Accepted: 05/15/2019] [Indexed: 02/06/2023] Open
Abstract
Over the last decade, there has been considerable interest in the individualisation of athlete training, including the use of genetic information, alongside more advanced data capture and analysis techniques. Here, we explore the evidence for, and practical use of, a number of these emerging technologies, including the measurement and quantification of epigenetic changes, microbiome analysis and the use of cell-free DNA, along with data mining and machine learning. In doing so, we develop a theoretical model for the use of these technologies in an elite sport setting, allowing the coach to better answer six key questions: (1) To what training will my athlete best respond? (2) How well is my athlete adapting to training? (3) When should I change the training stimulus (i.e., has the athlete reached their adaptive ceiling for this training modality)? (4) How long will it take for a certain adaptation to occur? (5) How well is my athlete tolerating the current training load? (6) What load can my athlete handle today? Special consideration is given to whether such an individualised training framework will outperform current methods as well as the challenges in implementing this approach.
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Guest NS, Horne J, Vanderhout SM, El-Sohemy A. Sport Nutrigenomics: Personalized Nutrition for Athletic Performance. Front Nutr 2019; 6:8. [PMID: 30838211 PMCID: PMC6389634 DOI: 10.3389/fnut.2019.00008] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 01/18/2019] [Indexed: 12/14/2022] Open
Abstract
An individual's dietary and supplement strategies can influence markedly their physical performance. Personalized nutrition in athletic populations aims to optimize health, body composition, and exercise performance by targeting dietary recommendations to an individual's genetic profile. Sport dietitians and nutritionists have long been adept at placing additional scrutiny on the one-size-fits-all general population dietary guidelines to accommodate various sporting populations. However, generic "one-size-fits-all" recommendations still remain. Genetic differences are known to impact absorption, metabolism, uptake, utilization and excretion of nutrients and food bioactives, which ultimately affects a number of metabolic pathways. Nutrigenomics and nutrigenetics are experimental approaches that use genomic information and genetic testing technologies to examine the role of individual genetic differences in modifying an athlete's response to nutrients and other food components. Although there have been few randomized, controlled trials examining the effects of genetic variation on performance in response to an ergogenic aid, there is a growing foundation of research linking gene-diet interactions on biomarkers of nutritional status, which impact exercise and sport performance. This foundation forms the basis from which the field of sport nutrigenomics continues to develop. We review the science of genetic modifiers of various dietary factors that impact an athlete's nutritional status, body composition and, ultimately athletic performance.
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Affiliation(s)
- Nanci S Guest
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.,Nutrigenomix Inc., Toronto, ON, Canada
| | - Justine Horne
- Department of Health and Rehabilitation Sciences, University of Western Ontario, London, ON, Canada
| | - Shelley M Vanderhout
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.,Nutrigenomix Inc., Toronto, ON, Canada
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.,Nutrigenomix Inc., Toronto, ON, Canada
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Varley I, Patel S, Williams AG, Hennis PJ. The current use, and opinions of elite athletes and support staff in relation to genetic testing in elite sport within the UK. Biol Sport 2018; 35:13-19. [PMID: 30237657 PMCID: PMC6135972 DOI: 10.5114/biolsport.2018.70747] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 08/02/2017] [Accepted: 08/29/2017] [Indexed: 12/16/2022] Open
Abstract
The purpose of the study was to investigate the current use of genetic testing in UK elite sport and assess how genetic testing might be received by those employed in elite sport. Seventy-two elite athletes and 95 support staff at UK sports clubs and governing bodies completed an online survey of 11 questions concerning their experience of genetic testing and beliefs regarding the use of genetic testing in sport. Genetic testing related to sports performance and injury susceptibility is conducted in UK elite sport, albeit by a relatively small proportion of athletes (≤17%) and support staff (≤8%). Athletes and their support staff agree that genetics are important in determining elite status (≥79%) and appear willing to engage in genetic testing for individualising training to improve sport performance and reduce injury risk. Opinion was divided on whether genetic information should be used to identify talented athletes and influence selection, eligibility or employment status. Genetic testing for sports performance and injury susceptibility occurs in UK elite sport, however it is not commonly conducted. There is a belief that genetics is an important factor in determining an athlete and there is a willingness to engage in genetic testing for sports performance and injury susceptibility.
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Affiliation(s)
- Ian Varley
- Sport, Health and Performance Enhancement Research Centre, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK
| | - Seema Patel
- Centre for Sports Law, Nottingham Law School, Nottingham Trent University, Goldsmith Street, Nottingham, NG1 5LP, UK
| | - Alun G. Williams
- Sports Genomics Laboratory, Department of Exercise and Sport Science, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK
| | - Philip J. Hennis
- Centre for Health, Exercise & Active Living (HEAL), Department of Exercise and Sport Science, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK
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A response to letter to the editor: A genetic-based algorithm for personalized resistance training. Biol Sport 2016; 34:35-37. [PMID: 28416895 PMCID: PMC5377558 DOI: 10.5114/biolsport.2017.63386] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 10/06/2016] [Indexed: 01/08/2023] Open
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