Associação entre perfil genético e posição de basquete em atletas da Liga Nacional Brasileira: um estudo transversal

• Autor(a) principal: Lima, Giscard Humberto Oliveira [UNIFESP]
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UNIFESP
• dARK ID: ark:/48912/001300000xc74
• Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5010301; http://repositorio.unifesp.br/handle/11600/50543
• topic: Genetics; Basket; Actn3; Bkb2R; Agt; Eca; Athletic performance; Genética; Basquete; Actn3; Bkb2R; Agt; Eca; Desempenho atlético

Introduction/Aim: In the last decades, advances in the studies of the genotypephenotype relationship have allowed the discovery of genetic biomarkers that are associated with phenotypes, such as sports performance in elite athletes of various modalities. Basketball is a sport that requires a complex combination of different characteristics and skills among players. Each player has a specific function inside the court and this function is directly related to her/his physical characteristics. The aim of the present study was to investigate whether there is an association between polymorphisms in genes related to performance (strength/power or endurance) and the player’s positions in basketball. Methodology: 154 athletes participated in the study; all of them competed in the National Basketball League 2012/2013. Polymorphisms in four genes related to sports performance were investigated. The polymorphisms in the angiotensin converting enzyme (ACE) and bradykinin B2 receptor (BDKRB2) genes were analyzed by standard PCR, and the polymorphisms in α-actinin 3 (ACTN3) and angiotensinogen (AGT) were analyzed by qPCR. In the statistical analysis SPSS software (version 21) was used. The GLM Univariate test was used In the analysis of height averages and the association between the genotypes and position were used the Multiple Logistic Regression and Multiple Correspondence Analysis tests. Results: The GLM test showed a significant effect of height on the positions. The Multiple Correspondence Analysis showed an association between the studied genotypes and the different positions in basketball. The Multiple Logistic Regression showed a higher prevalence of the different ACTN3 genotypes according to positions. We observed a positive association between the endurance genotypes with the point guard position, while the force/power related genotypes with the other positions, especially the power forward and center. Besides, more than half of the players with XX genotype of ACTN3 are point guards. Conclusion: The present study demonstrated that height is the main determinant of the position in the basketball, however this work also showed that there is an strong association between gene polymorphisms related to physical performance and player positions, mainly of the ACTN3. Therefore, we can conclude that the use of genetic information can help in understanding and enhancing the physical capacities of each player in this modality.