Biological trace element research | 2021

Meta-analysis of Association Studies of Selenoprotein Gene Polymorphism and Kashin-Beck Disease: an Updated Systematic Review.

 
 
 
 
 
 

Abstract


To evaluate the association between selenoprotein gene polymorphisms and Kashin-Beck disease (KBD) susceptibility through a systematic review and updated meta-analysis. PubMed, Google Scholar, Cochrane library, and Chinese National Knowledge Infrastructure (CNKI) were electronically searched using the terms selenoprotein and Kashin-Beck disease or KBD with a search time from the establishment of the database to January 2021. The Newcastle-Ottawa Scale (NOS) was used for methodological quality evaluation of the included studies. Stata 14.0 software was used to pooled odds ratio (OR) and 95% confidence interval. There were a total of eight included case-control studies covering 2025 KBD patients and 1962 controls. Meta-analysis results show that the pooled odds ratios (OR) and 95% confidence intervals (CI) for DIO2 (rs225014) were 0.69 (0.52, 0.91), 0.69 (0.50, 0.96), and 0.72 (0.52, 0.99) in the allele, heterozygote, and dominant models, respectively. The OR and 95%CI for SEPS1 (-105G>A) were 2.47 (1.85, 3.29), 9.36 (4.58, 19.12), 2.17 (1.53, 3.08), and 8.60 (4.25, 17.38) in the allele, homozygote, dominant, and recessive models, respectively. In addition, the OR and 95%CI for Sep15 (rs5859) were 2.05 (1.06, 3.96) in the allele model. These results illustrate that there was a significant association between DIO2 (rs225014), SEPS1 (-105G>A), Sep15 (rs5859), and KBD. For GPX1 (rs1050450, rs1800668, rs3811699), DIO2 (rs225014, rs1352815, rs1388382), TrxR2 (rs1139793, rs5746841), GPX4 (rs713041, rs4807542), and SEPP1 (rs7579, 25191g/a), there was no significant statistical difference between the KBD and control groups (P>0.05). We conclude that the DIO2 (rs225014), SEPS1 (-105G>A), and Sep15 (rs5859) gene polymorphism are associated with susceptibility to KBD.

Volume None
Pages None
DOI 10.1007/s12011-021-02705-2
Language English
Journal Biological trace element research

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