Literature DB >> 30485117

No Association Between Risk of Anterior Cruciate Ligament Rupture and Selected Candidate Collagen Gene Variants in Female Elite Athletes From High-Risk Team Sports.

Einar Andreas Sivertsen1,2, Kari Bente Foss Haug3, Eirik Klami Kristianslund2,4, Anne-Marie Siebke Trøseid3, Jari Parkkari5, Terho Lehtimäki6, Nina Mononen6, Kati Pasanen5,7, Roald Bahr2.   

Abstract

BACKGROUND: Several single-nucleotide variants (SNVs) in collagen genes have been reported as predisposing factors for anterior cruciate ligament (ACL) tears. However, the evidence is conflicting and does not support a clear association between genetic variants and risk of ACL ruptures.
PURPOSE: To assess the association of previously identified candidate SNVs in genes encoding for collagen and the risk of ACL injury in a population of elite female athletes from high-risk team sports. STUDY
DESIGN: Cohort study; Level of evidence, 2.
METHODS: A total of 851 female Norwegian and Finnish elite athletes from team sports were included from 2007 to 2011. ACL injuries acquired before inclusion in the cohort were registered by interview. The participants were followed prospectively through 2015 to record new complete ACL injuries. Six selected SNVs were genotyped ( COL1A1: rs1800012, rs1107946; COL3A1: rs1800255; COL5A1: rs12722, rs13946; COL12A1: rs970547).
RESULTS: No associations were found between ACL rupture and the SNVs tested.
CONCLUSION: The study does not support a role of the 6 selected SNVs in genes encoding for collagen proteins as risk factors for ACL injury. CLINICAL RELEVANCE: Genetic profiling to identify athletes at high risk for ACL rupture is not yet feasible.

Entities:  

Keywords:  anterior cruciate ligament; female athlete; gene polymorphisms; genetic risk; team sports

Year:  2018        PMID: 30485117     DOI: 10.1177/0363546518808467

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


  7 in total

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Authors:  Juan Del Coso; Alejandro Lucia
Journal:  Genes (Basel)       Date:  2021-04-27       Impact factor: 4.096

2.  VEGFA Promoter Polymorphisms rs699947 and rs35569394 Are Associated With the Risk of Anterior Cruciate Ligament Ruptures Among Indian Athletes: A Cross-sectional Study.

Authors:  Manish Shukla; Rahul Gupta; Vivek Pandey; Jacques Rochette; Perundurai S Dhandapany; Pramod Kumar Tiwari; Rabbind Singh Amrathlal
Journal:  Orthop J Sports Med       Date:  2020-12-09

3.  Influence of type I collagen polymorphisms and risk of anterior cruciate ligament rupture in athletes: a case-control study.

Authors:  Jamila Alessandra Perini; Lucas Rafael Lopes; João Antonio Matheus Guimarães; Rodrigo Araújo Goes; Luiz Fernando Alves Pereira; Camili Gomes Pereira; Marcelo Mandarino; Alfredo Marques Villardi; Eduardo Branco de Sousa; Victor Rodrigues Amaral Cossich
Journal:  BMC Musculoskelet Disord       Date:  2022-02-16       Impact factor: 2.362

4.  Association of COL5A1 gene polymorphisms and musculoskeletal soft tissue injuries: a meta-analysis based on 21 observational studies.

Authors:  Rui Guo; Zhe Ji; Shutao Gao; Aihaiti Aizezi; Yong Fan; Zhigang Wang; Kai Ning
Journal:  J Orthop Surg Res       Date:  2022-03-03       Impact factor: 2.359

5.  Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes.

Authors:  Susanne Jauhiainen; Jukka-Pekka Kauppi; Tron Krosshaug; Roald Bahr; Julia Bartsch; Sami Äyrämö
Journal:  Am J Sports Med       Date:  2022-08-19       Impact factor: 7.010

6.  A whole genome sequencing approach to anterior cruciate ligament rupture-a twin study in two unrelated families.

Authors:  Daneil Feldmann; Christian D Bope; Jon Patricios; Emile R Chimusa; Malcolm Collins; Alison V September
Journal:  PLoS One       Date:  2022-10-06       Impact factor: 3.752

7.  Risk Factors for Contra-Lateral Secondary Anterior Cruciate Ligament Injury: A Systematic Review with Meta-Analysis.

Authors:  Anna Cronström; Eva Tengman; Charlotte K Häger
Journal:  Sports Med       Date:  2021-01-30       Impact factor: 11.136

  7 in total

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