scholarly journals Association of XPG gene rs751402 polymorphism with gastric cancer risk: a meta-analysis in the Chinese population

2017 ◽  
Vol 33 (2) ◽  
pp. 174-179 ◽  
Author(s):  
Jun Liang ◽  
Ya-Yun Xu ◽  
Cheng Zhang ◽  
Qing-Rong Xia
Keyword(s):  
Gastric Cancer ◽  
Chinese Population ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Population Attributable Risk ◽  
Recessive Model ◽  
Sensitivity Analyses ◽  
China National Knowledge Infrastructure ◽  
Xeroderma Pigmentosum Group G ◽  
Relationship Of

Background: Previous studies have revealed a conflicting relationship of xeroderma pigmentosum group G (XPG) gene polymorphism with gastric cancer (GC) risk. To our knowledge, this is the first meta-analysis to investigate the association between rs751402 mutation located on the XPG promoter region and GC risk. Methods: We undertook a meta-analysis by identifying relevant articles from the PubMed, Web of Science and China National Knowledge Infrastructure (CNKI) databases on February 28, 2017. By pooling 9 eligible studies, 3,539 GC cases and 3,948 controls were included. The pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated using the fixed-effects or random-effects model depending on the existence of heterogeneity across studies. The population attributable risk (PAR%) was estimated to better understand the public health risk. Results: All included studies had been conducted in China. Significant associations were found between the XPG rs751402 polymorphism and the risk of GC (TT vs. CC: OR = 1.43, 95% CI, 1.11-1.84; CT vs. CC: OR = 1.15, 95% CI, 1.04-1.26; dominant model: OR = 1.17, 95% CI, 1.07-1.29; recessive model: OR = 1.30, 95% CI, 1.05-1.62; T vs. C: OR = 1.18, 95% CI, 1.06-1.32). The estimated PAR% was about 4.9%-8.8%. Funnel plots did not reveal any potential publication bias. The sensitivity analyses showed that the results were relatively robust. Conclusions: This meta-analysis indicates that the XPG rs751402 polymorphism may be a risk factor for GC in the Chinese population.

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 Angiotensin-converting enzyme I/D polymorphism is not associated with type 2 diabetes in a Chinese population

2012 ◽  
Vol 13 (3) ◽  
pp. 372-378 ◽  
Author(s):  
Donghao Zhou ◽  
Rikje Ruiter ◽  
Jingling Zhang ◽  
Ming’ai Zhou ◽  
Hongjun Liu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Angiotensin Converting Enzyme ◽  
Chinese Population ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Dominant Model ◽  
Converting Enzyme ◽  
Fixed Effects Model

Objective: A role for the angiotensin-converting enzyme ( ACE) gene has been suggested in the aetiology of type 2 diabetes (T2DM). However, results have been inconsistent. In this study, we performed a meta-analysis to further clarify the association between ACE I/D polymorphism and T2DM risk in a Chinese population. Methods: PubMed, EMBASE, CNKI and Wan Fang Data were searched for eligible studies. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using a fixed-effects model or random-effects model. Results:: A total of 41 studies (4708 cases and 5368 controls) for the association between ACE I/D polymorphism and T2DM in a Chinese population were identified. The pooled ORs for the association between ACE I/D polymorphism and T2DM risk were not statistically significant under all genetic models (co-dominant model: DD vs. II: OR = 1.17, 95% CI 0.97–1.42 and ID vs. II: OR = 1.01, 95% CI 0.93–1.10; dominant model: OR = 1.06, 95% CI 0.94–1.19; multiplicative model: OR = 1.08, 95% CI 0.98–1.18). Although a marginally significant association was observed under a recessive model (OR = 1.17, 95% CI 1.00–1.36), robustness of this estimate could not be established under additional sensitivity analyses. Conclusions:: The meta-analysis presented in this study indicated that ACE I/D polymorphism may not be associated with the risk of T2DM in the Chinese population.

scholarly journals Meta-analysis of matrix metalloproteinase (MMP)-9 C1562T polymorphism and susceptibility to ischemic stroke in the Chinese population

2020 ◽  
Vol 48 (6) ◽  
pp. 030006052092642 ◽  
Author(s):  
Yan Jiang ◽  
HongYu Liu ◽  
Yukai Wang ◽  
Xinxiu Shi ◽  
Yankun Shao ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Matrix Metalloproteinase ◽  
Odds Ratio ◽  
Chinese Population ◽  
Meta Analysis ◽  
Gene Promoter ◽  
Recessive Model ◽  
China National Knowledge Infrastructure ◽  
Significant Difference ◽  
The Matrix

Objective Many studies have shown that the C1562T polymorphism in the matrix metalloproteinase (MMP)-9 gene promoter is associated with susceptibility to ischemic stroke (IS), but the association between them remains controversial. Our objective was to explore the relationship between MMP9 C1562T polymorphism and susceptibility to IS in the Chinese population. Methods We conducted a database search of Wanfang, China Science and Technology Journal database, China National Knowledge Infrastructure, Medline, Embase, PubMed and Springerlink through September 2019. Meta-analysis was performed using Stata15.0 software (StataCorp LP, College Station, TX, USA). Results Thirteen articles were included, including 3,996 patients and 3,815 controls. Among the Chinese population, the results showed no significant difference for the allele model (T vs. C; odds ratio = 1.05, 95%CI: 0.80–1.37). Significant differences were found in the dominant model (TT+TC vs. CC; odds ratio = 2.94, 95%CI: 1.58–5.45) and in the recessive model (TT vs. TC+CC; pooled OR = 0.81, 95%CI: 0.66–0.99). Neither the homozygous model or heterozygous model was significant. Conclusion We identified a correlation between MMP-9 C1562T polymorphism and IS in the Chinese population; the TT+TC genotype may increase the risk of IS.

A Meta-Analysis for Association of ACE I/D Polymorphism with Susceptibility to Preterm Birth

2021 ◽  
Author(s):  
Reza Bahrami ◽  
Seyed Alireza Dastgheib ◽  
Hossein Golestanpour ◽  
Elahe Akbarian ◽  
Alireza Emarati ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Recessive Model ◽  
Biomedical Literature ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Pooled Data ◽  
Increased Risk ◽  
Study Heterogeneity

Background: Preterm birth is one of the main contributors to newborn mortality, morbidity, and hospitalization in the first year of life globally. To date, several numbers of studies have reported that Angiotensin-Converting enzyme Insertion/Deletion polymorphism (ACE I/D) is linked with preterm birth. But those results are conflicting. Thus, we carried out this meta-analysis to summarize the existing data and evaluated the association. Methods: All eligible studies were collected from PubMed, Scopus, SciELO, MedRxiv, SID, China National Knowledge Infrastructure (CNKI), and Chinese Biomedical Literature Database (CBLD) up to 01 March 2021. The pooled odds ratios (ORs) and 95% confidence interval (CIs) under all five genetic models were calculated using either random-effects or fixed-effects models dependent on study heterogeneity. Results: A total of five case-control studies with 480 preterm birth cases and 702 healthy subjects were included. Pooled data showed that the ACE I/D polymorphism was significantly associated with increased risk of preterm birth under the allele model (I vs. D: OR = 1.219, 95% CI 1.023-1.453, P = 0.027), homozygote model (II vs. DD: OR = 0.662, 95% CI 1.149-2.385, P = 0.007), and recessive model (DD vs. DI+II: OR = 0.707, 95% CI 1.082-1.948, P = 0.013). Stratified analysis by ethnicity indicated that the ACE I/D polymorphism was significantly associated with preterm birth in Caucasian descendants. Conclusion: Our pooled data revealed that ACE I/D polymorphism is associated with the risk of preterm birth. However, larger and more rigorous studies among different populations are needed to evaluate the association with preterm birth.

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 (PROSPERO CRD42020168180)

2020 ◽  
Author(s):  
peng lei ◽  
Song Jin ◽  
Jiping Lu ◽  
Chao Ouyang ◽  
Jiang Gou ◽  
...  
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), 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 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 Interleukin-17 Gene Polymorphisms Contribute to Cancer Risk

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Ming Niu ◽  
Hua Yuan ◽  
Yu Zhou
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Chinese Population ◽  
Statistical Power ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Sensitivity Analyses ◽  
Interleukin 17 ◽  
Case Control Studies ◽  
Stratified Analysis

Epidemiological studies have suggested that interleukin-17 (IL-17) polymorphisms are associated with cancer risk. However, the results of these studies are inconsistent. Therefore, we performed a meta-analysis to obtain a precise conclusion. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association of theIL-17Ars2275913G>A andIL-17Frs763780T>C polymorphisms with cancer risk. Publication bias and sensitivity analyses were performed to ensure the statistical power. Overall, 10 relevant case-control studies involving 4,516 cases and 5,645 controls were included. The pooled ORs with 95% CIs indicated that theIL-17Ars2275913G>A polymorphism was significantly associated with increased cancer risk (for A versus G: OR = 1.28, 95% CI: 1.16–1.41,P<0.001,I2=61.1%; for GA versus GG: OR = 1.12, 95% CI: 1.02–1.23,P = 0.015,I2=27.8%; for AA versus GG: OR = 1.71, 95% CI: 1.38–2.41,P<0.001,I2=69.6%; for GA + AA versus GG: OR = 1.23, 95% CI: 1.13–1.34,P<0.001,I2=6.4%; for AA versus GG + GA: OR = 1.62, 95% CI: 1.27–2.07,P<0.001,I2=81.4%). Succeeding analysis of HWE and stratified analysis of gastric cancer and the Asian (and Chinese) population revealed similar results. TheIL-17Frs763780T>C polymorphism was also significantly associated with gastric cancer development. Overall, the present meta-analysis suggests thatIL-17polymorphisms increase the risk of developing cancer, particularly gastric cancer, in the Asian (and Chinese) population.

scholarly journals ASSOCIATION OF MMP-7 -181A>G POLYMORPHISM WITH COLORECTAL CANCER AND GASTRIC CANCER SUSCEPTIBILITY: A SYSTEMATIC REVIEW AND META-ANALYSIS

2019 ◽  
Vol 32 (3) ◽  
Author(s):  
Mohammad ZARE ◽  
Jamal JAFARI-NEDOOSHAN ◽  
Kazem AGHILI ◽  
Hossein AHRAR ◽  
Mohammad Hossein JARAHZADEH ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Gastric Cancer ◽  
Fixed Effects ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Recessive Model ◽  
Fixed Effects Model ◽  
Case Control Studies ◽  
Increased Risk ◽  
The Matrix

ABSTRACT Introduction: The matrix metalloproteinase-7 (MMP-7) gene -181A>G polymorphism has been reported to be associated with colorectal cancer (CRC) and gastric cancer (GC) susceptibility, yet the results of these previous results have been inconsistent or controversial. Aim: To elaborate a meta-analysis to assess the association of -181A>G polymorphism of MMP-7 with CRC and GC risk. Methods: Published literature evaluating the association from PubMed, Web of Science, Google Scholar and other databases were retrieved up to April 25, 2018. Pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using random- or fixed-effects model. Results: A total of 19 case-control studies, which included eleven studies on CRC (2,169 CRC cases and 2,346 controls) and eight studies on GC (1,545 GC cases and 2,366 controls) were identified. There was a significant association between MMP-7 -181A>G polymorphism and GC risk under the homozygote model (GG vs. AA: OR=1.672, 95% CI 1.161-2.409, p=0.006) and the recessive model (GG vs. GA+AA: OR=1.672, 95% CI 1.319-2.554, p=0.001), but not with CRC. By subgroup analysis based on ethnicity, an increased risk of CRC and GC was found only among Asians. Conclusions: This meta-analysis suggests that MMP-7 -181A>G polymorphisms is associated with GC risk, but not with CRC. However, our results clearly showed that the MMP-7 -181A>G polymorphism significantly increased the risk of CRC only in Asians.

scholarly journals Association of UCP1 and UCP2 variants with diabetic retinopathy susceptibility in type-2 diabetes mellitus patients: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xujia Liu ◽  
Zehua Jiang ◽  
Guihua Zhang ◽  
Tsz Kin Ng ◽  
Zhenggen Wu
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Fixed Effects ◽  
Literature Search ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Fixed Effects Models ◽  
Type 2 Dm ◽  
Subgroup Analyses

Abstract Background Genetic association of uncoupling proteins (UCPs) variants with the susceptibility of diabetic retinopathy (DR) in diabetes mellitus (DM) patients has been reported but with controversy. Here we aimed to conduct a meta-analysis to confirm the association of different UCPs variants with DR. Methods Three databases (Medline Ovid, Embase Ovid and CENTRAL) were applied in the literature search. Five genetic models, including allelic, homozygous, heterozygous, dominant and recessive models, were evaluated. Odds ratios (OR) were estimated under the random or fixed-effects models. Subgroup analyses, publication bias and sensitivity analyses were also conducted. Results Eleven studies on 2 UCPs variants (UCP1 rs1800592 and UCP2 rs659366) were included. Our meta-analysis showed that UCP1 rs1800592 was not associated with DR in type-2 DM patients, and UCP2 rs659366 also showed no association with DR. In the subgroup analyses on the stage of DR, allele G of UCP1 rs1800592 significantly increased the susceptibility of proliferative diabetic retinopathy (PDR) in type-2 DM patients in the allelic (OR = 1.26, P = 0.03) and homozygous models (OR = 1.60, P = 0.04). Subgroup analysis on ethnicity did not found any significant association of rs1800592 and rs659366 with DR. Conclusion Our meta-analysis confirmed the association of UCP1 rs1800592 variant with PDR in patients with type-2 DM, suggesting its potential as a genetic marker for PDR prediction in population screening.

Abstract 3789: Nessun Dorma : Have the Risks of Rosiglitazone been Exaggerated?

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
George A Diamond ◽  
Sanjay Kaul
Keyword(s):  
Confidence Intervals ◽  
Effect Size ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Cardiovascular Death ◽  
Sensitivity Analyses ◽  
Odds Ratios ◽  
True Effect Size ◽  
Index Study ◽  
The Stability

Background A highly publicized meta-analysis of 42 clinical trials comprising 27,844 diabetics ignited a firestorm of controversy by charging that treatment with rosiglitazone was associated with a “…worrisome…” 43% greater risk of myocardial infarction ( p =0.03) and a 64% greater risk of cardiovascular death ( p =0.06). Objective The investigators excluded 4 trials from the infarction analysis and 19 trials from the mortality analysis in which no events were observed. We sought to determine if these exclusions biased the results. Methods We compared the index study to a Bayesian meta-analysis of the entire 42 trials (using odds ratio as the measure of effect size) and to fixed-effects and random-effects analyses with and without a continuity correction that adjusts for values of zero. Results The odds ratios and confidence intervals for the analyses are summarized in the Table . Odds ratios for infarction ranged from 1.43 to 1.22 and for death from 1.64 to 1.13. Corrected models resulted in substantially smaller odds ratios and narrower confidence intervals than did uncorrected models. Although corrected risks remain elevated, none are statistically significant (*p<0.05). Conclusions Given the fragility of the effect sizes and confidence intervals, the charge that roziglitazone increases the risk of adverse events is not supported by these additional analyses. The exaggerated values observed in the index study are likely the result of excluding the zero-event trials from analysis. Continuity adjustments mitigate this error and provide more consistent and reliable assessments of true effect size. Transparent sensitivity analyses should therefore be performed over a realistic range of the operative assumptions to verify the stability of such assessments especially when outcome events are rare. Given the relatively wide confidence intervals, additional data will be required to adjudicate these inconclusive results.

scholarly journals Low birth weight, preterm birth and small for gestational age association with adult depression: systematic review and meta-analysis

2014 ◽  
Vol 205 (5) ◽  
pp. 340-347 ◽  
Author(s):  
Christian Loret De Mola ◽  
Giovanny Vinícius Araújo De França ◽  
Luciana de Avila Quevedo ◽  
Bernardo Lessa Horta
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Premature Birth ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Adult Depression ◽  
Meta Analyses ◽  
Relationship Of ◽  
The Relationship

BackgroundThere is no consensus on the effects that low birth weight, premature birth and intrauterine growth have on later depression.AimsTo review systematically the evidence on the relationship of low birth weight, smallness for gestational age (SGA) and premature birth with adult depression.MethodWe searched the literature for original studies assessing the effect of low birth weight, premature birth and SGA on adult depression. Separate meta-analyses were carried out for each exposure using random and fixed effects models. We evaluated the contribution of methodological covariates to heterogeneity using meta-regression.ResultsWe identified 14 studies evaluating low birth weight, 9 premature birth and 4 SGA. Low birth weight increased the odds of depression (OR = 1.39, 95% CI 1.21–1.60). Premature birth and SGA were not associated with depression, but publication bias might have underestimated the effect of the former and only four studies evaluated SGA.ConclusionsLow birth weight was associated with depression. Future studies evaluating premature birth and SGA are needed.

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