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. 2023 Oct;248(20):1799-1805.
doi: 10.1177/15353702231198068. Epub 2023 Sep 26.

Genome-wide association study identifying variants related to performance and injury in high-performance athletes

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Genome-wide association study identifying variants related to performance and injury in high-performance athletes

Jay R Ebert et al. Exp Biol Med (Maywood). 2023 Oct.

Erratum in

Abstract

A growing body of evidence exists supporting the role that genetic variation plays in athletic performance and injury. This study sought to identify genetic variants associated with performance and lower limb musculoskeletal injury in a high-level athletic cohort. A total of 126 Estonian National Team members (Olympic athletes and participants of International Championships) (104 males, 82.5%) underwent a genome-wide association analysis between 2017 and 2018, to identify single-nucleotide polymorphisms (SNPs) associated with performance and/or injury. The athletic cohort was stratified within each sport based on performance and whether they were a medalist (n = 29) or not (n = 97), whether they sustained an injury (n = 47) or not (n = 79), and the type of injury (patella tendinopathy n = 22, Achilles tendinopathy n = 17, hamstring injury n = 3, anterior cruciate ligament rupture n = 6). Three SNPs demonstrated strong genome-wide association with athletic performance (podium/medalist versus not), including DSG1 (rs10502567, OR 14.3) and DSG4 (rs73410248, OR 17.4), while 76 SNPs demonstrated suggestive significance. Overall, 37 SNPs gave genome-wide suggestive association with any type of injury, including PAPPA2 (rs11580456, OR 13.8) and MAS1 (rs220735, rs170219, OR 3.1) which demonstrated positive signal with multiple SNPs. Several genes demonstrated positive association for the specific injury types, including COL22A1 (rs3924862) and PLXNA2 (rs11799530), as well as PAPPA2 (rs11580456), DOK5 (rs73142922), GNG12 (rs28435277), and DAP (rs267959, rs2930047, rs1080440, rs267939). The current study identified genetic variants associated with high-level athletic performance and musculoskeletal injury. Further work is required to permit integration of this and future knowledge into individualized training practices, as well as injury mitigation and rehabilitation programs.

Keywords: DNA; Genome-wide association; genetics; lower limb musculoskeletal injury.

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Conflict of interest statement

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Manhattan plot representing the p values of the genome-wide association in reaching the podium (medalist) or not. The orange dots represent p < 10−5 while the red dots represent p < 10−8 (i.e. strong genome-wide significance).
Figure 2.
Figure 2.
Manhattan plot representing the p values of the genome-wide association in being injured or not. The orange dots represent p < 10−5 while the red dots (N/A) represent p < 10−8 (i.e. strong genome-wide significance).
Figure 3.
Figure 3.
Manhattan plot representing the p values of the genome-wide association in identifying genetic markers for the different injury types. The orange dots represent p < 10−5 while the red dots (N/A) represent p < 10−8 (i.e. strong genome-wide significance).

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