scholarly journals Lack of association between matrix metalloproteinase-1 gene rs1799750 polymorphism and osteoarthritis susceptibility: a meta-analysis

2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Lei Peng ◽  
Jie Bin ◽  
Yang-chao Ou ◽  
Li-xin Zhu ◽  
Ji-ping Lu
Keyword(s):  
Gene Polymorphism ◽  
Matrix Metalloproteinase ◽  
Meta Analysis ◽  
Promoter Polymorphism ◽  
Case Control ◽  
Recessive Model ◽  
Dominant Model ◽  
Case Control Studies ◽  
Analysis Study ◽  
Matrix Metalloproteinase 1

Abstract Background. A relationship between matrix metalloproteinase-1 (MMP-1)-1607 (rs1799750) gene polymorphism and osteoarthritis (OA) susceptibility was reported in the Bioscience Reports journal; however, these results were inconsistent. To evaluate the specific relationship, we used a meta-analysis study to clarify the controversy. Methods. The relevant articles were retrieved on 20 October 2018 from PubMed, Elsevier, Springer, Ebase (Ovid), and Google Scholar. The number of alleles and genotypes for MMP-1 was obtained. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between MMP-1-1607 (rs1799750) 1G/2G promoter polymorphism and OA, while the Egger’s test was used to assess heterogeneity among studies and publication bias. All statistical analyses were conducted using STATA 12.0 software. Results. A total of six case–control studies covering 1133 cases and 1119 controls were included in the final meta-analysis. There was no significant association between MMP-1-1607 1G/2G promoter polymorphism and OA in all genetic models (2G versus 1G: OR = 1.12, 95% CI = 0.78–1.60; 1G/2G versus 1G/1G: OR  = 0.73, 95% CI = 0.32–1.67; 2G/2G versus 1G/1G: OR  =  1.31, 95% CI = 0.57–2.98; the recessive model: OR  =  1.23, 95% CI = 0.63-2.41; and the dominant model: OR  =  1.25, 95% CI = 0.79–1.97). We obtained similar results for the subgroup analysis using ethnicity and type of disease. Conclusion. We systematically investigated the association between MMP-1-1607 (rs1799750) 1G/2G polymorphism and OA susceptibility; however, the results show no correlation.

Analysis of the Association of Matrix Metalloproteinase-1 Gene Promoter (rs1799750) Polymorphism and Risk of Ovarian Cancer

2015 ◽  
Vol 25 (6) ◽  
pp. 961-967 ◽  
Author(s):  
Lijie Wang ◽  
Beihua Kong
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Matrix Metalloproteinase ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Gene Promoter ◽  
Case Control ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
Matrix Metalloproteinase 1

ObjectiveStudies investigating the association betweenmatrix metalloproteinase-1(MMP1) gene promoter 1607–base pair (bp) polymorphism and ovarian cancer risk have yielded conflicting results.MethodsWe therefore carried out a meta-analysis of 754 ovarian cancer cases and 1184 controls from 5 published case-control studies. The strength of the association betweenMMP11607-bp polymorphism and ovarian cancer susceptibility was calculated using pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs).ResultsThe results suggest that no statistically significant associations exist betweenMMP11607-bp polymorphisms and ovarian cancer risk in all 4 genetic models (2G2G vs 1G1G: OR, 1.08; 95% CI, 0.81–1.43;P= 0.23; 1G2G vs 1G1G: OR, 1.06; 95% CI, 0.82–1.36;P= 0.15; 1G2G + 2G2G vs 1G1G: OR, 1.05; 95% CI, 0.83–1.34;P= 0.16; 2G2G vs 1G1G + 1G2G: OR, 0.98; 95% CI, 0.80–1.20;P= 0.84).ConclusionsIn summary, this meta-analysis showed that theMMP11607-bp polymorphism is not associated with ovarian cancer risk.

scholarly journals p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Group Analysis ◽  
Additive Model ◽  
Case Control ◽  
Recessive Model ◽  
Dominant Model ◽  
Case Control Studies ◽  
Genotype Frequencies ◽  
Risk Of Disease

Abstract Background The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer. Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results Twenty-one publications with 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of breast cancer for the dominant model (OR = 1.09, 95% CI = 1.02–1.16, P = 0.01) and the additive model (OR = 1.09, 95% CI = 1.01–1.17, P = 0.03), but not for the recessive model (OR = 1.07, 95% CI = 0.97–1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03). Conclusions This meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele.

Matrix metalloproteinase-1 gene polymorphisms and periodontitis susceptibility: A meta-analysis based on 11 case-control studies

Gene ◽  
2013 ◽  
Vol 521 (1) ◽  
pp. 111-115 ◽  
Author(s):  
Tiezhou Hou ◽  
Ling Gao ◽  
Jingjing Zheng ◽  
Zhongqi Liu ◽  
Cuiyan Wu ◽  
...  
Keyword(s):  
Matrix Metalloproteinase ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Matrix Metalloproteinase 1

Association between ALDH2 Gene Polymorphism and Late-onset Alzheimer Disease: An Up-to-date Meta-analysis

2020 ◽  
Vol 17 (2) ◽  
pp. 105-111
Author(s):  
Haitao Liu ◽  
Wei Ge ◽  
Wei Chen ◽  
Xue Kong ◽  
Weiming Jian ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Large Scale ◽  
Late Onset ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Positive Trend ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Aldh2 Gene

Objectives: Previous case-control studies have focused on the relationship between ALDH2 gene polymorphism and late-onset Alzheimer's Disease (LOAD), but no definite unified conclusion has been reached. Therefore, the correlation between ALDH2 Glu504Lys polymorphism and LOAD remains controversial. To analyze the correlation between ALDH2 polymorphism and the risk of LOAD, we implemented this up-to-date meta-analysis to assess the probable association. Methods: Studies were searched through China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals, China Biology Medicine, PubMed, Cochrane Library, Clinical- Trials.gov, Embase, and MEDLINE from January 1, 1994 to December 31, 2018, without any restrictions on language and ethnicity. Results: Five studies of 1057 LOAD patients and 1136 healthy controls met our criteria for the analysis. Statistically, the ALDH2 GA/AA genotype was not linked with raising LOAD risk (odds ratio (OR) = 1.48, 95% confidence interval (CI) = 0.96-2.28, p = 0.07). In subgroup analysis, the phenomenon that men with ALDH2*2 had higher risk for LOAD (OR = 1.72, 95%CI = 1.10-2.67, p = 0.02) was observed. Conclusions: This study comprehends only five existing case-control studies and the result is negative. The positive trend might appear when the sample size is enlarged. In the future, more large-scale casecontrol or cohort studies should be done to enhance the association between ALDH2 polymorphism and AD or other neurodegenerative diseases.

scholarly journals Association between AIRE gene polymorphism and rheumatoid arthritis: a systematic review and meta-analysis of case-control studies

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Bálint Bérczi ◽  
Gellért Gerencsér ◽  
Nelli Farkas ◽  
Péter Hegyi ◽  
Gábor Veres ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Systematic Review ◽  
Gene Polymorphism ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Aire Gene

Association between a Lumican Promoter Polymorphism and High Myopia in the Chinese Population: A Meta-Analysis of Case-Control Studies

2014 ◽  
Vol 232 (2) ◽  
pp. 110-117 ◽  
Author(s):  
Zhu-Jun Deng ◽  
Ke-Qing Shi ◽  
Yi-Jiang Song ◽  
Yu-Xiao Fang ◽  
Jianmin Wu ◽  
...  
Keyword(s):  
Chinese Population ◽  
High Myopia ◽  
Meta Analysis ◽  
Promoter Polymorphism ◽  
Case Control ◽  
Case Control Studies

scholarly journals ERCC2/XPD Lys751Gln and Asp312Asn Gene Polymorphism and Lung Cancer Risk: A Meta-Analysis Involving 22 Case–Control Studies

2010 ◽  
Vol 5 (9) ◽  
pp. 1337-1345 ◽  
Author(s):  
Ping Zhan ◽  
Qin Wang ◽  
Shu-Zhen Wei ◽  
Jing Wang ◽  
Qian Qian ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Gene Polymorphism ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

scholarly journals Impact of TNF -308 G>A (rs1800629) gene polymorphism in modulation of leprosy risk: a reappraise meta-analysis of 14 case–control studies

2017 ◽  
Vol 37 (5) ◽  
Author(s):  
Mohammed Y. Areeshi ◽  
Raju K. Mandal ◽  
Sajad A. Dar ◽  
Arshad Jawed ◽  
Mohd Wahid ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Latin American ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Case Control ◽  
Mixed Population ◽  
Case Control Studies ◽  
Web Databases ◽  
Necrosis Factor ◽  
Latin American Population

Purpose: Earlier studies have shown that tumor necrosis factor (TNF) -308 G>A (rs1800629) gene polymorphism is implicated in the susceptibility to leprosy, but results were inconsistent. Methods: A meta-analysis of 14 studies involving 3327 leprosy cases and 3203 controls was performed to appraise the association of TNF -308 G>A polymorphism with leprosy using MEDLINE (PUBMED), EMBASE, and Google Scholar web databases. Results: Overall, no significant association was observed in allelic (A vs. G: P=0.068; OR = 0.836, 95% CI = 0.689–1.013), homozygous (AA vs. GG: P=0.394; OR = 0.810, 95% CI = 0.499–1.315), heterozygous (GA vs. GG: P=0.059; OR = 0.780, 95% CI = 0.603–1.010), dominant (AA + GA vs. GG: P=0.067; OR = 0.797, 95% CI = 0.625–1.016), and recessive (AA vs. GG + GA: P=0.594; OR = 0.877, 95% CI = 0.542– 1.420) genetic models. Subgroup analysis showed no association in Asians. Whereas, reduced risk was found in allelic contrast (A vs. G: P=0.014; OR = 0.832, 95% CI = 0.718–0.963) and dominant models (AA + GA vs. GG: P=0.004; OR = 0.790, 95% CI = 0.673–0.928) of the mixed population. Conclusions: TNF -308 G>A polymorphism is not associated with leprosy risk in the overall population. However, subgroup analysis demonstrated protective effect of the said polymorphism in leprosy risk in the Latin American population, but showed no association in the Asians.

Sign in / Sign up

Export Citation Format

Share Document