Projects_laboratory_gpm

Genetic predisposition to injuries in athletes

Genetic predisposition to injuries in athletes
Project goal: The aim of our study is to study the genetic predisposition to injuries in athletes.

Project description: This project is devoted to the study of the genetic predisposition to injury in athletes. Frequent occurrence of the disease and the likelihood of developing during the season in all athletes with a high susceptibility to injury. An athlete's injury is high both physically and received and leads to a negative impact on performance. Sports or exercise can present visibility and chronic musculoskeletal injuries. In addition, the injury may manifest itself as a lack of motivation or fear of returning to training. The injury rate among athletes is very high. Revealing the ability to prevent repetitive injury, reduce performance decline, and even downsize an athlete, studying all the risk factors that predispose to injury is essential to developing an effective injury prevention program. The rapid development of genetic and genomic methods reveals a growing interest in the genetics of physical activity and sports. Many studies focus on sports performance and report on individual events. Many studies have focused on injuries and connections, and have focused on identifying individual susceptibility and/or gaining sports scores and identifying the risk of premature injury. Candidate genes associated with tendon prevalence include genes that play a role in proteins in muscle fibers, joints, energy transport, and so on.

Project facilitators: PI: Dauren Yerezhepov; Ruslan Kalendar, Ainur Akilzhanova, Aidana Gabdulkayum, Saya Amangeldykyzy

Realisation period: 2023-2025

Expected results: 1. Recruitment of study participants and collection of epidemiological data will be carried out.

2. Samples will be genotyped.

3. A search will be made for the association of the studied polymorphisms with a predisposition to injury in athletes.

Methodology: Recruitment of study participants, collection of epidemiological data, and interviewing. DNA isolation, QC. Genotyping on certain SNPs. Association analysis.

Co-financing: No

Contacts: dauren.yerezhepov@nu.edu.kz