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Candidate Genes of Regulation of Skeletal Muscle Energy Metabolism in Athletes

1
The Research Institute of Olympic Sports, Ural State University of Physical Culture, 454091 Chelyabinsk, Russia
2
Department of Hand Surgery with Microsurgical Equipment, Vreden National Medical Research Center of Traumatology and Orthopedics, 195427 St. Petersburg, Russia
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Department of Physical and Rehabilitation Medicine with a Postgraduate Course, Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
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Department of Physiotherapy, Peoples’ Friendship University of Russia, 117198 Moscow, Russia
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The Neurological Department No. 16, The Hospital for War Veterans, 193079 St. Petersburg, Russia
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Center of Personalized Psychiatry and Neurology, V.M. Bekhterev National Medical Research Center for Psychiatry Neurology, 192019 St. Petersburg, Russia
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Shared Core Facilities Molecular and Cell Technologies, V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia
*
Authors to whom correspondence should be addressed.
Academic Editor: Rodolfo Iuliano
Genes 2021, 12(11), 1682; https://doi.org/10.3390/genes12111682
Received: 24 September 2021 / Revised: 13 October 2021 / Accepted: 22 October 2021 / Published: 23 October 2021
(This article belongs to the Section Molecular Genetics and Genomics)
All biological processes associated with high sports performance, including energy metabolism, are influenced by genetics. DNA sequence variations in such genes, single nucleotide variants (SNVs), could confer genetic advantages that can be exploited to achieve optimal athletic performance. Ignorance of these features can create genetic “barriers” that prevent professional athletes from pursuing a career in sports. Predictive Genomic DNA Profiling reveals single nucleotide variations (SNV) that may be associated with better suitability for endurance, strength and speed sports. (1) Background: To conduct a research on candidate genes associated with regulation of skeletal muscle energy metabolism among athletes. (2) Methods: We have searched for articles in SCOPUS, Web of Science, Google Scholar, Clinical keys, PubMed, e-LIBRARY databases for the period of 2010–2020 using keywords and keywords combinations; (4) Conclusions: Identification of genetic markers associated with the regulation of energy metabolism in skeletal muscles can help sports physicians and coaches develop personalized strategies for selecting children, teenagers and young adults for endurance, strength and speed sports (such as jogging, middle or long distance runs). However, the multifactorial aspect of sport performances, including impact of genetics, epigenetics, environment (training and etc.), is important for personalized strategies for selecting of athletes. This approach could improve sports performance and reduce the risk of sports injuries to the musculoskeletal system. View Full-Text
Keywords: personalized medicine; sports genetics; candidate genes; single nucleotide variant; polymorphism; energy metabolism; skeletal muscles; athlete personalized medicine; sports genetics; candidate genes; single nucleotide variant; polymorphism; energy metabolism; skeletal muscles; athlete
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MDPI and ACS Style

Balberova, O.V.; Bykov, E.V.; Medvedev, G.V.; Zhogina, M.A.; Petrov, K.V.; Petrova, M.M.; Al-Zamil, M.; Trefilova, V.V.; Goncharova, P.S.; Shnayder, N.A. Candidate Genes of Regulation of Skeletal Muscle Energy Metabolism in Athletes. Genes 2021, 12, 1682. https://doi.org/10.3390/genes12111682

AMA Style

Balberova OV, Bykov EV, Medvedev GV, Zhogina MA, Petrov KV, Petrova MM, Al-Zamil M, Trefilova VV, Goncharova PS, Shnayder NA. Candidate Genes of Regulation of Skeletal Muscle Energy Metabolism in Athletes. Genes. 2021; 12(11):1682. https://doi.org/10.3390/genes12111682

Chicago/Turabian Style

Balberova, Olga V., Evgeny V. Bykov, German V. Medvedev, Margarita A. Zhogina, Kirill V. Petrov, Marina M. Petrova, Mustafa Al-Zamil, Vera V. Trefilova, Polina S. Goncharova, and Natalia A. Shnayder 2021. "Candidate Genes of Regulation of Skeletal Muscle Energy Metabolism in Athletes" Genes 12, no. 11: 1682. https://doi.org/10.3390/genes12111682

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