scholarly journals Interleukin-6-174G/C Polymorphism Contributes to Periodontitis Susceptibility: An Updated Meta-Analysis of 21 Case-Control Studies

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Junfei Zhu ◽  
Bin Guo ◽  
Min Fu ◽  
Wushuang Guo ◽  
Yifang Yuan ◽  
...  
Keyword(s):  
Risk Factor ◽  
Interleukin 6 ◽  
Chronic Periodontitis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Caucasian Population ◽  
Dominant Model ◽  
Case Control Studies ◽  
Meta Analyses

Introduction. Chronic Periodontitis (CP) is suggested to be related to gene variations. Present study aims to quantitatively estimate the association between interleukin-6- (IL-6-) 174G/C polymorphism and CP susceptibility.Materials and Methods. Pubmed, Embase, and Web of Science were searched up to May 2016. The meta-analyses were performed using STATA 12.0.Results. 21 studies were yielded. Significant associations were found under heterozygote comparison and dominant model in studies fulfilling HWE (GC versus GG: OR = 0.690, 95% CI = 0.560–0.849,P=0.000; CC + GC versus GG: OR = 0.690, 95% CI = 0.568–0.838,P<0.001); significant associations were found under heterozygote comparison and dominant model in Caucasian studies fulfilling HWE (GC versus GG: OR = 0.752, 95% CI = 0.577–0.980,P=0.035; CC + GC versus GG: OR = 0.737, 95% CI = 0.576–0.944,P=0.016); significant associations were found under allele comparison, heterozygote comparison, and dominant model in Brazilian population (C versus G: OR = 0.648, 95% CI = 0.497–0.845,P=0.001; GC versus GG: OR = 0.621, 95% CI = 0.441–0.876,P=0.007; CC + GC versus GG: OR = 0.649, 95% CI = 0.470–0.896,P=0.009).Conclusion. IL-6 174 polymorphism is associated with CP susceptibility. In Brazilian and Caucasian population, IL-6 174 GG genotype plays as a risk factor to CP.

scholarly journals Interleukin-6 gene −572 G > C polymorphism and myocardial infarction risk

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 376-383
Author(s):  
He-guo Ding ◽  
Yan-wei Yin ◽  
Sun-lin Liu
Keyword(s):  
Myocardial Infarction ◽  
Interleukin 6 ◽  
Protective Factor ◽  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Future Studies ◽  
Larger Sample ◽  
Insight Into

AbstractIntroductionThe association between interleukin-6 (IL-6) gene −572 G^C polymorphism and myocardial infarction (MI) risk has not been established. We adopted this meta-analysis for further insight into the case–control studies.Materials and methodsTo investigate the genetic association, we searched multiple databases, including Web of Science, EMbase, CBM disc, PubMed and CNKI. Also, we manually identified the searched references. All the statistical analyses were conducted using Stata 11.0.ResultsA total of five studies were identified, involving 2,526 MI cases and 3,027 controls. The results revealed a significant association between IL-6 gene −572 G^C polymorphism and MI, implying that the IL-6 gene −572 C allele may be a protective factor for MI (for C allele vs K allele: OR = 0.85, 95% CI = 0.73–0.99, p = 0.041; for C/C vs G/G: OR = 0.55, 95% CI = 0.31–0.98, p = 0.044; for C/C vs G/C + G/G: OR = 0.60, 95% CI = 0.41–0.89, p = 0.011). However, in the subgroup analysis with regard to ethnicity, no significant correlation was identified between IL-6 gene −572 G^C polymorphism and MI among Europeans.ConclusionThe IL-6 gene −572 C allele may be a protective factor for MI. Future studies involving larger sample bases are still recommended.

scholarly journals Relevance of hMLH1 -93G>A, 655A>G and 1151T>A polymorphisms with colorectal cancer susceptibility: a meta-analysis based on 38 case-control studies

2018 ◽  
Vol 64 (10) ◽  
pp. 942-951 ◽  
Author(s):  
Mohammad Zare ◽  
Jamal Jafari-Nedooshan ◽  
Mohammadali Jafari ◽  
Hossein Neamatzadeh ◽  
Seyed Mojtaba Abolbaghaei ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Asian Population ◽  
Case Control ◽  
Biomedical Literature ◽  
Case Control Studies ◽  
Increased Risk ◽  
Comprehensive Search ◽  
Meta Analyses

SUMMARY OBJECTIVE: There has been increasing interest in the study of the association between human mutL homolog 1 (hMLH1) gene polymorphisms and risk of colorectal cancer (CRC). However, results from previous studies are inconclusive. Thus, a meta-analysis was conducted to derive a more precise estimation of the effects of this gene. METHODS: A comprehensive search was conducted in the PubMed, EMBASE, Chinese Biomedical Literature databases until January 1, 2018. Odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of the association. RESULTS: Finally, 38 case-control studies in 32 publications were identified met our inclusion criteria. There were 14 studies with 20668 cases and 19533 controls on hMLH1 −93G>A, 11 studies with 5,786 cases and 8,867 controls on 655A>G and 5 studies with 1409 cases and 1637 controls on 1151T>A polymorphism. The combined results showed that 655A>G and 1151T>A polymorphisms were significantly associated with CRC risk, whereas −93G>A polymorphism was not significantly associated with CRC risk. As for ethnicity, −93G>A and 655A>G polymorphisms were associated with increased risk of CRC among Asians, but not among Caucasians. More interestingly, subgroup analysis indicated that 655A>G might raise CRC risk in PCR-RFLP and HB subgroups. CONCLUSION: Inconsistent with previous meta-analyses, this meta-analysis shows that the hMLH1 655A>G and 1151T>A polymorphisms might be risk factors for CRC. Moreover, the −93G>A polymorphism is associated with the susceptibility of CRC in Asian population.

Vitamin D deficiency as a risk factor for thyroid cancer: A meta-analysis of case-control studies

Nutrition ◽  
2019 ◽  
Vol 57 ◽  
pp. 5-11 ◽  
Author(s):  
Junyu Zhao ◽  
Haipeng Wang ◽  
Zhongwen Zhang ◽  
Xiaojun Zhou ◽  
Jinming Yao ◽  
...  
Keyword(s):  
Vitamin D ◽  
Risk Factor ◽  
Thyroid Cancer ◽  
Vitamin D Deficiency ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

scholarly journals Association of microRNAs genes polymorphisms with arthritis: a systematic review and meta-analysis

2019 ◽  
Vol 39 (7) ◽  
Author(s):  
Yingqi Xiao ◽  
Hui Liu ◽  
Li Chen ◽  
Yang Wang ◽  
Xiang Yao ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Random Effects Model ◽  
Inclusion Criteria ◽  
Case Control Studies ◽  
Effect Model ◽  
Meta Analyses

Abstract Objective: To investigate whether microRNAs genes’ polymorphisms are associated with arthritis. Methods: The PubMed, Cochrane Library et al. were systematically searched to identify case–control studies, systematic reviews and meta-analyses. A meta-analysis was performed to calculate odds ratios (ORs), and confidence intervals (CIs) at 95% using fixed-effect model or random-effects model. Results: Twenty-two case–control studies involving 10489 participants fulfilled the inclusion criteria. MiR-146a rs2910164 (G/C) was not significantly associated with the risk of rheumatoid arthritis (RA) in any model. Significant associations were found between miR-146a rs2910164 (G/C) and the risk of psoriatic arthritis (PsA) in the heterozygous model and the dominant model. The heterozygous model showed a significant association between the miR-146a rs2910164 (G/C) polymorphism and ankylosing spondylitis (AS). And there was no significant association of miR-146a rs2910164 (G/C) with risk of juvenile rheumatoid arthritis (JRA) at any model. Additionally, there was a significant association of miR-499 rs3746444 (T/C) with risk of RA at two genetic models, and with a moderate heterogeneity. When subgroup analysis by ethnicity, significant associations were almost found between miR-499 rs3746444 (T/C) and the risk of RA in any model in Caucasian populations, and there is no heterogeneity. Conclusions: The association of miR-146a rs2910164 (G/C) with RA was not found. And there was a significant association between miR-146a rs2910164(G/C) and PsA or AS. MiR-499 rs3746444 (T/C) was associated with RA in Caucasian populations. These findings did not support the genetic association between miR-146a rs2910164 (G/C) and JRA susceptibility, as well as the association of miR-196a-2 rs11614913 (C/T), miR-146a rs2431697, miR-146a rs57095329, miR-149 rs22928323 with arthritis.

Su1836 Gastrectomy Is Not a Risk Factor for Pancreatic Cancer: A Meta-Analysis of Case-Control Studies

2014 ◽  
Vol 146 (5) ◽  
pp. S-1048-S-1049
Author(s):  
Rajan Kanth ◽  
Naga Swetha Samji ◽  
Ramon E. Rivera ◽  
Mainor R. Antillon ◽  
Praveen K. Roy
Keyword(s):  
Pancreatic Cancer ◽  
Risk Factor ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

Periodontal disease as a risk factor for adverse pregnancy outcomes: a systematic review and meta-analysis of case–control studies

Odontology ◽  
2011 ◽  
Vol 100 (2) ◽  
pp. 232-240 ◽  
Author(s):  
Stefano Corbella ◽  
Silvio Taschieri ◽  
Luca Francetti ◽  
Francesca De Siena ◽  
Massimo Del Fabbro
Keyword(s):  
Systematic Review ◽  
Risk Factor ◽  
Periodontal Disease ◽  
Pregnancy Outcomes ◽  
Meta Analysis ◽  
Case Control ◽  
Adverse Pregnancy Outcomes ◽  
Case Control Studies ◽  
Adverse Pregnancy

scholarly journals Association of ABO Polymorphisms and Pancreatic Cancer/ Cardiocerebrovascular Disease: a Meta-analysis.

2020 ◽  
Author(s):  
Yanxia Li ◽  
Luyang Liu ◽  
Yubei Huang ◽  
Hong Zheng ◽  
Lian Li
Keyword(s):  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Exclusion Criteria ◽  
Bias Assessment ◽  
Heterogeneity Test ◽  
Pancreatic Cancers ◽  
The Relationship ◽  
Eligible Case

Abstract Background: ABO gene polymorphisms have been reported to be associated with the risk of multiple cancers and cardiocerebrovascular disease s. However, the results remained controversial. In this study, we conducted a systematic review and meta-analysis to clarify the association between two SNPs (rs505922 and rs657152) in ABO gene and cancers/ cardiocerebrovascular disease s. Method: All eligible case-control studies come from PubMed, Embase and Web of Science up to Jan. 1, 2019. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the corresponding associations. Sensitivity analysis, publication bias assessment, and heterogeneity test were performed using STATA 12.0. Results : A total of nineteen articles involving twenty-two case-control populations were included according to inclusion and exclusion criteria. Twelve populations (20,820 cases and 27,837 controls) were used to evaluate the relationship between rs505922 and overall cancers and nine populations (22,275 cases and 71,549 controls) were included to assess the association between rs505922 and cardiocerebrovascular diseases. The results showed a significant association between the rs505922 polymorphism and cancers (CvsT: OR=1.13, 95%CI=1.05-1.22, P =0.001), and cardiocerebrovascular diseases (OR=1.36, 95%CI=1.19-1.57, P <0.001). Five populations (8,660 cases and 10,618 controls) were included to evaluate association between rs657152 and cancers and five populations (8,105 cases and 6,712 controls) were included to estimate the relationship between rs657152 and cardiocerebrovascular diseases. The result of meta-analysis reveals that rs657152 was significantly associated with cancers (OR=1.18, 95%CI=1.13-1.23, P <0.001) and cardiocerebrovascular diseases (OR=1.54, 95%CI=1.24-1.92, P <0.001). Conclusion: Our study suggested that ABO polymorphisms might serve as a risk factor of pancreatic cancers and cardiocerebrovascular diseases.

scholarly journals Can statistical adjustment guided by causal inference improve the accuracy of effect estimation? A simulation and empirical research based on Meta-analyses of case-control studies

2020 ◽  
Author(s):  
Ruohua Yan ◽  
Tianyi Liu ◽  
Yaguang Peng ◽  
Xiaoxia Peng
Keyword(s):  
Causal Inference ◽  
Directed Acyclic Graph ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Confounding Bias ◽  
Statistical Adjustment ◽  
Adjustment Strategies ◽  
Effect Estimation ◽  
Meta Analyses

Abstract Background Statistical adjustment is often considered to control confounding bias in observational studies, especially case-control studies. However, different adjustment strategies may affect the estimations of odds ratios (ORs), and in turn affect the results of their pooled analyses. Our study is aimed to investigate how to deal with the statistical adjustment in case-control studies to improve the validity of Meta-analyses. Methods We carried out a series of Monte Carlo simulation experiments based on predesigned scenarios, and assessed the accuracy of effect estimations from Meta-analyses of case-control studies by combining ORs calculated according to different adjustment strategies. The strategies included fully adjustment of all preset confounders guided by causal inference, insufficiently adjustment of less confounders, and improperly adjustment of covariates other than confounders. Results For all scenarios with different strength of causal relations, combining ORs adjusted for confounders as far as possible would get the most precise effect estimation, regardless of the sampling approaches of case-control studies and the scale of Meta-analysis. By contrast, combining ORs that were not sufficiently adjusted for confounders or improperly adjusted for mediators or colliders would easily introduce bias in causal interpretation, especially when the true effect of exposure on outcome was weak or none. Conclusions Statistical adjustment guided by causal inference are recommended for effect estimation. Therefore, when conducting Meta-analyses of case-control studies, the causal relationship formulated by exposure, outcome, and covariates should be firstly understood through a directed acyclic graph, and then reasonable original ORs could be extracted and combined by suitable methods.

scholarly journals High-temperature requirement factor A1 rs11200638 polymorphism and age-related macular degenerative from a comprehensive analysis about 15316 subjects

2020 ◽  
Author(s):  
Ying Liu ◽  
Huipeng Jin ◽  
Dong Wei ◽  
Wenxiu Li
Keyword(s):  
High Temperature ◽  
Meta Analysis ◽  
Case Control ◽  
Dominant Model ◽  
Case Control Studies ◽  
Temperature Requirement ◽  
Age Related ◽  
Gene Environment ◽  
Increased Risk ◽  
Taqman Pcr

Abstract Background The high-temperature requirement factor A1 (HTRA1) gene at the 10q26 locus has been associated with age-related macular degenerative (AMD) risk, with the significantly associated polymorphism being (rs11200638, -625G/A), however, above association is not consistent. We investigated an updated meta-analysis to evaluate the association between rs11200638 polymorphism and AMD risk thoroughly addressing this issue. Methods An identification was covered with the Pubmed and Chinese Wanfang databases through 27th Jan, 2020. Odds ratios (OR) and 95% confidence intervals (CI) were used to assess the strength of associations. After a thorough and meticulous search, 35 different articles (33 case-control studies with HWE, 22 case-control studies about wet/dry AMD) were retrieved. Results Individuals carrying A-allele or AA genotype may have an increased risk to be AMD disease. For example, there has a significantly increased relationship between rs11200638 polymorphism and AMD both for Asians (OR: 2.50, 95%CI: 2.22-2.80 for A-allele vs. G-allele) and Caucasians (OR: 2.11, 95%CI: 1.43-3.13 for A-allele vs. G-allele). Moreover, a similar trend in the source of control subgroup was detected. To classify the type of AMD, increased association was also observed in both wet (OR: 3.40, 95%CI: 2.90-3.99 for dominant model) and dry (OR: 2.08, 95%CI: 1.24-3.48 for dominant model) AMD. Finally, based on the different genotyping methods, increased relationships were identified by sequencing, TaqMan, PCR-RFLP. Conclusions Our present meta-analysis suggests that the HTRA1 rs11200638 polymorphism are potentially associated with the risk of AMD development, especially about individuals carrying A-allele or AA genotype, who may be as identified targets to detect and intervene in advance. Further studies using larger sample sizes and including information about gene-environment interactions should be conducted to elucidate.

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