scholarly journals Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

2019 ◽  
Author(s):  
Feifan Lu ◽  
Qidong Zhang ◽  
weiguo wang ◽  
wanshou guo ◽  
pei liu
Keyword(s):  
Knee Osteoarthritis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Recessive Model ◽  
Cochrane Library ◽  
Matrix Metalloproteinase 1 ◽  
Statistical Heterogeneity ◽  
Different Populations ◽  
Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Materials and Method: Literature search was performed in PubMed, Embase, Medline, Cochrane Library, Web of science, Google Scholar, CNKI, Wanfang database (last search update June 1st 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results show that in Allele model (1G1G vs. 2G2G: OR =1.22, 95% CI: 0.72-1.76), Recessive model (2G2G vs 1G2G+1G1G: OR = 1.12, 95% CI: 0.70-2.15) and Dominant model (2G2G+1G2G vs 1G1G: OR = 1.14, 95%CI: 0.64-2.04). Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis.

scholarly journals Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

2019 ◽  
Author(s):  
Feifan Lu ◽  
Pei Liu ◽  
Weiguo Wang ◽  
Qidong Zhang ◽  
Wanshou Guo
Keyword(s):  
Knee Osteoarthritis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
Knee Oa ◽  
Matrix Metalloproteinase 1 ◽  
Statistical Heterogeneity ◽  
Different Populations ◽  
Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Cochrane Library, Web of science, Google Scholar (From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X 2 test with the significance set P<0.10 or I 2 >50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5) Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

scholarly journals Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

2019 ◽  
Author(s):  
Feifan Lu ◽  
Qidong Zhang ◽  
weiguo wang ◽  
wanshou guo ◽  
pei liu
Keyword(s):  
Knee Osteoarthritis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
Knee Oa ◽  
Matrix Metalloproteinase 1 ◽  
Statistical Heterogeneity ◽  
Different Populations ◽  
Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Embase, Medline, Cochrane Library, Web of science, Google Scholar, CNKI and Wanfang database(From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5) Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

scholarly journals Association Between The Polymorphism of MMP-1 Gene with Knee Osteoarthritis Risk: A Meta-Analysis

2020 ◽  
Author(s):  
Feifan Lu ◽  
Xiaowei Sun ◽  
Weiguo Wang ◽  
Qidong Zhang ◽  
Wanshou Guo
Keyword(s):  
Knee Osteoarthritis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
Knee Oa ◽  
Matrix Metalloproteinase 1 ◽  
Statistical Heterogeneity ◽  
Different Populations ◽  
Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Cochrane Library, Web of science, Google Scholar (From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%.Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5)Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

scholarly journals Association between the polymorphism of IL-17A and IL-17F gene with knee osteoarthritis risk: a meta-analysis based on case-control studies

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Feifan Lu ◽  
Pei Liu ◽  
Qidong Zhang ◽  
Weiguo Wang ◽  
Wanshou Guo
Keyword(s):  
Knee Osteoarthritis ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Case Control ◽  
Joint Disease ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Knee Oa ◽  
Statistical Heterogeneity ◽  
Bone Changes

Abstract Background Knee osteoarthritis is a joint disease which is characterized by degeneration of articular cartilage and subsequent subchondral bone changes. Polymorphisms of IL-17A/F gene were the recognized candidate genes associated with knee osteoarthritis risk although the results were conflicting. The aim of this study was to determine whether IL-17A(rs2275913) and IL-17F(rs763780) polymorphisms confer susceptibility to knee osteoarthritis. Method Literature search was performed in PubMed, Medline, Cochrane Library, Web of science, Embase, and Google Scholar (last search was updated on June 20, 2019), and assessing this association was performed by calculating odds ratios with 95% confidence intervals. Statistical heterogeneity was quantitatively evaluated by using the Q statistic with its p value and I2 statistic. Result Six case-control based studies were included involving IL-17A(rs2275913) (2134 cases and 2306 controls) and IL-17F(rs763780) (2134 cases and 2426 controls). The overall analysis suggested that the A allele of the rs2275913 polymorphism, and the C allele of the rs763780 polymorphism in the IL-17 gene may increase the risk of OA. However, subgroup analysis revealed that no association between IL-17A(rs2275913) gene and knee OA risk was found in Caucasian population. Conclusions This meta-analysis revealed that the IL-17A(rs2275913) gene polymorphisms may increase the risk of knee OA in Asians, and the IL-17F(rs763780) gene polymorphisms may increase the risk of knee OA both in Asians and Caucasians. However, because of the limitations of the present study, additional larger studies are needed to confirm our findings in the future.

scholarly journals Association between Growth Differentiation Factor 5 rs143383 Genetic Polymorphism and the Risk of Knee Osteoarthritis among Caucasian But Not Asian: A Meta-analysis

2020 ◽  
Author(s):  
peng lei ◽  
Song Jin ◽  
Jiping Lu ◽  
Chao Ouyang ◽  
Jiang Gou ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Case Control ◽  
Recessive Model ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Trial Quality ◽  
Differentiation Factor ◽  
Growth Differentiation Factor 5

Abstract Background A few months ago, the Bioscience Reports journal showed that Growth Differentiation Factor 5 (GDF5) rs143383 genetic polymorphism increases the susceptibility of knee osteoarthritis (KOA), but previous studies’ results have debates about available data. Considering the availability of more recent data, we focus on clarifying the relationship of KOA and GDF5 rs143383 genetic polymorphism by a meta-analysis of case-control trial data. Methods The eligible studies from the time of database established to Oct. 2019 were collected from PubMed, Springer, Cochrane library, Web of Science, China National Knowledge Infrastructure (CNKI), Wan Fang library. The meta-analysis was completed by STATA 18.0 software. Two independent authors extracted the data and assessed case-control trial quality. Results A total of 196 studies were collected, 16 of them including in final meta-analysis (7997 cases and 12684 controls). There was significant association between GDF 5 rs143383 polymorphism and KOA in all genetic models (for Allele model (C versus T): OR = 0.84 (95% CI = 0.76-0.91); dominate model (CC+CT versus TT): OR = 0.80(95% CI = (0.72-0.90); recessive model (CC versus CT+TT): OR= 0.79 (95% CI = 0.68-0.92); heterozygote model (CT versus CC+TT): OR = 0.89 (95% CI=0.80-0.97); homozygous model (CC versus TT): OR = 0.71 (95% CI=0.60-0.85). In the subgroup analysis by ethnicity, we obtained the results is no significant among Asians. Conclusion GDF5 rs143383 genetic polymorphism increases the risk of KOA among Caucasians; CC genotype and C allele are protective factors for the susceptibility of KOA among Caucasians.

scholarly journals Association between growth differentiation factor 5 rs143383 genetic polymorphism and the risk of knee osteoarthritis among Caucasian but not Asian: a meta-analysis

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Lei Peng ◽  
Song Jin ◽  
Jiping Lu ◽  
Chao Ouyang ◽  
Jiang Guo ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Differentiation Factor ◽  
Model C ◽  
Relationship Of ◽  
Growth Differentiation Factor 5

Abstract Background A few months ago, the Bioscience Reports journal showed that growth differentiation factor 5 (GDF5) rs143383 genetic polymorphism increases the susceptibility of knee osteoarthritis (KOA), but previous studies’ results have debates about available data. Considering the availability of more recent data, we focus on clarifying the relationship of KOA and GDF5 rs143383 genetic polymorphism by a meta-analysis of case-control trial data. Methods The eligible studies from the time of database established to Oct. 2019 were collected from PubMed, Springer, Cochrane library, Web of Science, China National Knowledge Infrastructure (CNKI), and Wan Fang library. Odds ratios (OR) and 95% confidence intervals (CI) were used to estimate the association between these polymorphisms and KOA risk. The meta-analysis was completed by STATA 18.0 software. Results A total of 196 studies were collected, 16 of them included in final meta-analysis (7997 cases and 12,684 controls). There was significant association between GDF5 rs143383 polymorphism and KOA in all genetic models (for Allele model (C versus T): OR = 0.84 (95% CI = 0.76–0.91); dominate model (CC+CT versus TT): OR = 0.80 (95% CI = 0.72–0.90); recessive model (CC versus CT+TT): OR = 0.79 (95% CI = 0.68–0.92); heterozygote model (CT versus CC+TT): OR = 0.89 (95% CI = 0.80–0.97); homozygous model (CC versus TT): OR = 0.71 (95% CI = 0.60–0.85)). In the subgroup analysis, we obtained the results that there is no significance among Asians. Conclusion GDF5 rs143383 genetic polymorphism increases the risk of KOA among Caucasians; CC genotype and C allele are protective factors for the susceptibility of KOA among Caucasians.

scholarly journals The correlation of microRNA-499 rs3746444 T>C locus with the susceptibility of gastric cancer: From a case-control study to a meta-analysis

2020 ◽  
Author(s):  
Guoxiang Rong ◽  
Yongping Zhu ◽  
Weifeng Tang ◽  
Hao Qiu ◽  
Sheng Zhang
Keyword(s):  
Gastric Cancer ◽  
Case Control Study ◽  
Meta Analysis ◽  
Case Control ◽  
Recessive Model ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
The Relationship ◽  
Allele Model ◽  
Control Study

The relationship between rs3746444 T&gt;C single nucleotide polymorphism (SNP) in microRNA (mir)-499 and risk of gastric cancer (GC) has been widely investigated. However, the association was still unconfirmed. Here, we first recruited 490 GC patients and 1,476 controls, and conducted a case-control study. And we did not find any association between rs3746444 T&gt;C SNP polymorphism and risk of GC. Subsequently, we conducted a meta-analysis to explore the association of mir-499 rs3746444 polymorphism with GC development. Two authors searched the PubMed and EMBASE databases up to October 15, 2019 independently. Finally, nine literatures involving 12 independent studies were included. In total, 3,954 GC cases and 9,745 controls were recruited for meta-analysis. The results suggested that allele model, homozygote model and recessive model could increase the risk of overall GC (P = 0.002, 0.009 and 0.013, respectively). When we excluded the studies violated HWE, this association was also found in allele model (P = 0.020) and dominant model (P = 0.044). In subgroup analyses, we identified that rs3746444 SNP in mir-499 increased the risk of GC in Asians and gastric cardiac adenocarcinoma (GCA) subgroups. No significant bias of selection was found (all P&gt;0.1). Test of sensitivity analysis indicated that our findings were stable. Additionally, we found that the power value was 0.891 in the allele model, suggesting the reliability of our findings. In summary, our analysis confirmed the association between rs3746444 and the risk of GC, especially in Asians and in patients with GCA.

Associations Between Adipokines Gene Polymorphisms and Osteoarthritis: a Meta-analysis

2021 ◽  
Author(s):  
Yuqing Wang ◽  
Fanqiang Meng ◽  
Jing Wu ◽  
Huizhong Long ◽  
Jiatian Li ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Web Of Science ◽  
Meta Analysis ◽  
Recessive Model ◽  
Systematic Search ◽  
Dominant Model ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Registration Number ◽  
Allele Model

Abstract Background: Adipokines gene polymorphisms are speculated to have associations with the risk of osteoarthritis (OA), but evidences remain conflicting. This study therefore aimed to examine the potential associations between adipokines gene polymorphisms and OA.Methods: A systematic search was performed on PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), and Wanfang up to March 31, 2020. Meta-analysis was carried out by focusing on associations between adipokines gene polymorphisms and OA with allele model, dominant model, recessive model, homozygote model, and heterozygote model.Results: The present meta-analysis included 13 studies containing 3,661 OA patients and 4,864 controls for analysis. Significant associations were observed between ADIPOQ rs2241766 and OA in Asians (dominant: OR = 1.35, 95% CI 1.03-1.78; heterozygote: OR = 1.43, 95% CI 1.07-1.19), between LEPR rs1137101 and OA in the overall population (recessive: OR = 0.40, 95% CI 0.21-0.79; homozygote: OR = 0.38, 95% CI 0.18-0.79), between VISFATIN rs4730153 and OA in Asians (allele: OR = 0.58, 95% CI 0.41-0.83; dominant: OR = 0.57, 95% CI 0.39-0.83; heterozygote: OR = 0.59, 95% CI 0.40-0.86), and between VISFATIN rs16872158 and OA in Asians (allele: OR = 1.84, 95% CI 1.26-2.68; dominant: OR = 1.94, 95% CI 1.31-2.89; heterozygote: OR = 1.97, 95% CI 1.31-2.95).Conclusions: Adipokines gene polymorphisms may be associated with OA. In particular, associations were observed in ADIPOQ rs2241766, LEPR rs1137101, VISFATIN rs4730153, and VISFATIN rs16872158 in the present study. PROSPERO registration number: CRD42020187664.

scholarly journals Association of rs2910164 Polymorphism in miRNA-146 and rs3746444 Polymorphism in miRNA-499 with Inflammatory Arthritis: A Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Dingjian Wang ◽  
Guixia Pan
Keyword(s):  
Confidence Intervals ◽  
Inflammatory Arthritis ◽  
Large Scale ◽  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Strength Of Association ◽  
Arthritis Susceptibility

Objectives. The purpose of this study was to explore the association of miRNA-146 and miRNA-499 polymorphisms with inflammatory arthritis. Methods. A systematic search of studies on the association of miRNA-146 and miRNA-499 polymorphisms with inflammatory arthritis susceptibility was conducted in PubMed, Web of science, Elsevier ScienceDirect, and Cochrane Library. Eventually, 18 published studies were included. The strength of association between miRNA-146/499 polymorphisms and inflammatory arthritis susceptibility was assessed by odds ratios (ORs) with its 95% confidence intervals (CIs). Results. A total of 18 case-control studies, consisting of 3385 inflammatory arthritis patients and 4584 controls, were included in the meta-analysis. This meta-analysis showed significant association between miRNA-499 rs3746444 polymorphism and inflammatory arthritis susceptibility in overall population (C vs T, OR: 1.422, 95% CI= 1.159-1.745, P=0.001). Similar results were found in subgroup analysis by region. But we did not find association between miRNA-146 rs2910164 polymorphism and inflammatory arthritis susceptibility in overall population (C vs T, OR: 1.061, 95% CI= 0.933-1.207, P=0.365). Conclusions. The present study indicates that miRNA-499 rs3746444 polymorphism is associated with inflammatory arthritis susceptibility. However, there is lack of association between miRNA-146 rs2910164 polymorphism and inflammatory arthritis susceptibility. But, we also find miRNA-146 rs2910164 and miRNA-499 rs3746444 polymorphism are associated with inflammatory arthritis in Middle East. Therefore, more large-scale studies are warranted to replicate our findings.

scholarly journals The Decisive Case-Control Study Elaborates the Null Association between ADAMTS5 rs226794 and Osteoarthritis in Asians: A Case-Control Study and Meta-Analysis

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1916
Author(s):  
Chung-Cheng Kao ◽  
Hsiang-En Hsu ◽  
Yi-Chou Chen ◽  
Ming-Yu Tu ◽  
Su-Wen Chuang ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Knee Osteoarthritis ◽  
Case Control Study ◽  
Meta Analysis ◽  
Gene Sequencing ◽  
Case Control ◽  
Knee Oa ◽  
The Relationship ◽  
Allele Model ◽  
Control Study

Background: Osteoarthritis is an important health issue for the elderly. Many studies indicate that genetics is an important risk factor for osteoarthritis, and a disintegrin and metalloproteinase with thrombospondin motifs 5 (ADAMTS5) is one gene that is most frequently implicated. Many recent studies have examined the relationship between a polymorphism in the ADAMTS5 gene (rs226794) and the risk for developing osteoarthritis without definitive results. Objective: In this case-control study, we examined the correlation between the ADAMTS5 gene polymorphism, rs226794, and knee osteoarthritis. We used a meta-analysis and trial sequential analysis to determine whether ADAMTS5 rs226794 expression increases susceptibility to osteoarthritis. Methods: This study consisted of two parts: a case-control study and a meta-analysis. The case-control study included subjects who underwent knee radiography at the Health Examination Center of the Tri Service General Hospital from 2015 to 2019. The Kellgren–Lawrence (KL) grading system was used as diagnostic criteria. Patients with unsuccessful gene sequencing were excluded. There were 606 subjects in the knee osteoarthritis group (KL ≥ 2) and 564 in the control group (KL < 2). Gene sequencing was performed using iPLEX Gold to determine the association between the gene polymorphism of ADAMTS5 rs226794 and knee osteoarthritis. For the meta-analysis, databases such as PubMed, Embase, and Cochrane were queried to identify studies that examined the relationship between ADAMTS5 rs226794 and osteoarthritis. Next, the findings of the meta-analysis were incorporated with the results of the case-control study and samples from the published studies to estimate the association between the genetic polymorphism and osteoarthritis using an odds ratio and a 95% confidence interval. Results: We found a non-significant association between the G allele and knee OA (crude-OR: 0.93 (95% CI: 0.79–1.10) and adjusted-OR: 1.02 (95% CI: 0.76–1.36) in the allele model) in the present study, and the analysis of other genetic models revealed a similar trend. After including five published studies and our case-control study, the results with 2866 Asians indicated a conclusively null association between ADAMTS5 rs226794 and knee OA) OR: 1.09 (95% CI: 0.93–1.26). The results for Caucasians also revealed a null association (OR: 1.21 (95% CI: 0.81–1.82)). Conclusions: This study indicates that the gene polymorphism, ADAMTS5 rs226794, is not significantly associated with knee osteoarthritis. Additionally, assuming that the cumulative sample size in the allele model is sufficient, we confirmed that the G allele is not a risk factor for osteoarthritis. This study integrated all available evidence to arrive at this conclusion, and it suggests that no additional studies are necessary.

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