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Association Of Matrix Metalloproteinase-1(1G/2G)-1607 Gene Polymorphism With Susceptibility To Osteoarthritis:A Meta-analysis

Posted on:2019-04-02Degree:MasterType:Thesis
Country:ChinaCandidate:L PengFull Text:PDF
GTID:2394330545476239Subject:Surgery
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Objective:This paper discusses MMP 1(1G/2 G)gene-1607 loci polymorphism and the correlation of osteoarthritis susceptibility,for the cause of osteoarthritis in genetics research to provide the reference.Methods:Retrieval time:database to December 2017,key words:through subject words,free words and the combination of the cable,with"MMP-1" or "Matrix metalloproteinases-1" or "MMP-1-1607 1G/2G"OR "rs 1799750";"OA" or "osteoarthritis";"polymorphism”or"polymorphisms",in Pubmed Embase;Cochrane;library database retrieval;Chinese database(CNKI,Wanfang and VIP database)in the"osteoarthritis";"MMP-1","rs 1799750";"genetic polymorphism";"matrix metalloproteinase-1" word retrieval.Literature screening:two people retrieve literature database respectively in strict accordance with pre-established inclusion and exclusion criteria,extraction of literature related to the basic situation.Finally third people to confirm selected studies which based on former two people retrieval.At the same time,NOS table to evaluate the quality of included studies,more than 6 points to be included in the article.In this paper,the use of statistical software STATA 12.0(The United States),the MMP-1 gene was divided into different model analysis.The model is divided into six groups:allele model of 1G vs 2G;the dominant model of 2G/2G+1G/2G Vs 1G/1G;the recessive model of 2G/2G Vs 1G/2G+1G/1G;heterozygous model of 1G/2G Vs 1G/1G;homozygous model of 2G/2G Vs 1G/1G;overdominance model of 2G/2G+1G/1G Vs 1G/2G.In this paper,the use of statistical software STATA 12,the MMP-1 gene was divided into model analysis,the model is divided into six groups:allele model of 1G vs 2G;the dominant model of 2G/2G+1G/2G Vs 1G/1G;the recessive model of 2G/2G Vs 1G/2G+1G/1G;heterozygous model of 1G/2G Vs 1G/1G;homozygous model of 2G/2G Vs 1G/1G;overdominance model of 2G/2G+1G/1G Vs 1G/2G.Statistical analysis of I2 and P values was conducted to assess the heterogeneity.The random effect model or fixed effect model was selected.OR value and 95%CI were combined to analyze the correlation between osteoarthritis and MMP-1 gene polymorphisms susceptibility.At the same time,the sensitivity analysis and the publication bias analysis proved the stability of the results.Racial discrimination was formed in subgroup analysis,and the knee osteoarthritis was analyzed separately for the knee osteoarthritis.Results:1.Total 5 articles included in this case-control study,a total of 825 Cases of test group and control group of 715 cases,three papers of Caucasian and two papers of yellow subgroup analysis could be conducted on the basis of ethnicity.2.The overall analysis,with OR value of five articles were included in the statistics obtained the values of the OR value of 95%CI cross 1,indicating that there is no statistical significance.3.Sensitivity analysis:by gradually removing each study one by one and analyzing it.The results of this paper remain stable.Publication bias:By the Begg test,no bias was found.Showed that MMP-1(-1607)1G/2G gene polymorphism and susceptibility to osteoarthritis had no statistical significance.4.The subgroup analysis by ethnicity,in yellow population,In Caucasian populations,In the subgroup analysis of five articles,the sensitivity test was carried out,and the results were still stable,and the Begg test was used for the publication bias detection.No publication bias was found.Conclusion:1.In this study,the polymorphism of the MMP-1(-1607)gene rs 1799750 locus(1G/2G)gene was not found to be significantly associated with the susceptibility to osteoarthritis.2.In a subgroup analysis,white and yellow MMP-1(-1607)rs1799750 gene(1G/2G)gene polymorphism and susceptibility to osteoarthritis were not found to have significant correlation.
Keywords/Search Tags:osteoarthritis, gene polymorphisms, Meta-analysis, matrix metalloproteinase
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