Association of polymorphisms rs1800012 in COL1A1 with sports-related tendon and ligament injuries: a meta-analysis

Chunguang Wang; Hao Li; Kang Chen; Bing Wu; Haifeng Liu

doi:10.18632/oncotarget.15271

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Association of polymorphisms rs1800012 in COL1A1 with sports-related tendon and ligament injuries: a meta-analysis

Chunguang Wang, Hao Li, Kang Chen, Bing Wu and Haifeng Liu _

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Oncotarget. 2017; 8:27627-27634. https://doi.org/10.18632/oncotarget.15271

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Abstract

Chunguang Wang1, Hao Li1, Kang Chen1, Bing Wu1 and Haifeng Liu1

1 Department of Sports Medical, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Futian District, Shenzhen, Guangdong, China

Correspondence to:

Haifeng Liu, email:

Keywords: COL1A1 polymorphism, rs1800012, sports injury, tendon and ligament injury, ACL injury

Received: July 14, 2016 Accepted: January 26, 2017 Published: February 11, 2017

Abstract

It has been reported that the single nucleotide polymorphism (SNP) rs1800012 in COL1A1 might be associated with the susceptibility to sports-related tendon and ligament injuries such as ACL injuries, Achilles tendon injuries, shoulder dislocations and tennis elbow. But the data from different studies have been conflicting. Here we attempted to systematically summarize and clarify the association between the SNP and sports-related tendon and ligament injuries risk. Six eligible studies including 933 cases and 1,381 controls were acquired from PubMed, Web Of Science and Cochrane library databases. Significant association was identified in homozygote model (TT versus GG: OR=0.17, 95%CI 0.08-0.35, PH=0.00) and recessive model (TT versus GT/GG: OR=0.21, 95%CI 0.10-0.44, PH=0.00). Our results indicated that COL1A1 rs1800012 polymorphism may be associated with the reduced risk of sports-related tendon or ligament injuries, especially in ACL injuries, and that rare TT may played as a protective role.

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Association of polymorphisms rs1800012 in COL1A1 with sports-related tendon and ligament injuries: a meta-analysis

Abstract