Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/35767
Appears in Collections: | Faculty of Health Sciences and Sport Journal Articles |
Peer Review Status: | Refereed |
Title: | Genes and Athletic Performance: The 2023 Update |
Author(s): | Semenova, Ekaterina A Hall, Elliott C R Ahmetov, Ildus I |
Contact Email: | elliott.hall@stir.ac.uk |
Keywords: | sports genetics genotype polymorphism genomics physical performance athletes GWAS WGS WES |
Issue Date: | 8-Jun-2023 |
Date Deposited: | 21-Feb-2024 |
Citation: | Semenova EA, Hall ECR & Ahmetov II (2023) Genes and Athletic Performance: The 2023 Update. <i>Genes</i>, 14 (6), Art. No.: 1235. https://doi.org/10.3390/genes14061235 |
Abstract: | Phenotypes of athletic performance and exercise capacity are complex traits influenced by both genetic and environmental factors. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status summarises recent advances in sports genomics research, including findings from candidate gene and genome-wide association (GWAS) studies, meta-analyses, and findings involving larger-scale initiatives such as the UK Biobank. As of the end of May 2023, a total of 251 DNA polymorphisms have been associated with athlete status, of which 128 genetic markers were positively associated with athlete status in at least two studies (41 endurance-related, 45 power-related, and 42 strength-related). The most promising genetic markers include the AMPD1 rs17602729 C, CDKN1A rs236448 A, HFE rs1799945 G, MYBPC3 rs1052373 G, NFIA-AS2 rs1572312 C, PPARA rs4253778 G, and PPARGC1A rs8192678 G alleles for endurance; ACTN3 rs1815739 C, AMPD1 rs17602729 C, CDKN1A rs236448 C, CPNE5 rs3213537 G, GALNTL6 rs558129 T, IGF2 rs680 G, IGSF3 rs699785 A, NOS3 rs2070744 T, and TRHR rs7832552 T alleles for power; and ACTN3 rs1815739 C, AR ≥21 CAG repeats, LRPPRC rs10186876 A, MMS22L rs9320823 T, PHACTR1 rs6905419 C, and PPARG rs1801282 G alleles for strength. It should be appreciated, however, that elite performance still cannot be predicted well using only genetic testing. |
DOI Link: | 10.3390/genes14061235 |
Rights: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
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genes-14-01235-v2.pdf | Fulltext - Published Version | 1.1 MB | Adobe PDF | View/Open |
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