Association Between Interleukin‐4 Gene −590 C/T, −33 C/T, and 70‐Base‐Pair Polymorphisms and Periodontitis Susceptibility: A Meta‐Analysis

Yan, Yan; Weng, Hong; Zy, Shen; Wu, Lan; Zeng, Xian‐Tao

doi:10.1902/jop.2014.140317

Cited by 34 publications

(50 citation statements)

References 30 publications

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“…As a result, the preciseness of true associations might be reduced, and subgroup analyses based on smoking status, gender, and ethnicity failed to be conducted due to lack of information. Second, the heterogeneity under some genetic models was significant, which also the case was found in the subgroup analyses (Table 2) although heterogeneity is a common phenomenon observed in the meta-analysis of genetic association studies [16–18, 30–40]. We also performed subgroup analyses to explore the origin of heterogeneity and found that it was not from clinical factors; in other words, the heterogeneity was just in the statistical level.…”

Section: Discussionmentioning

confidence: 51%

Interleukin-10 rs1800896 polymorphism is associated with increased head and neck cancer risk but not associated with its clinical stages

et al. 2017

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BackgroundThe association of interleukin-10 rs1800896 polymorphism with head and neck cancer risk and its clinical stages has been investigated by many published studies, but the results remain inconsistent. Therefore, we conducted this meta-analysis for further investigation.ResultsSix case-control studies involving 1,781 head and neck cancer patients and 1,978 controls were yielded. The results indicated an association between rs1800896 polymorphism and increased head and neck risk [odds ratio (95%confidence interval) for G vs. A, GA vs. AA, GG vs. AA, GA+GG vs. AA, and GG vs. AA + GA were 1.63 (1.30–2.04), 3.17 (2.11–4.76), 1.63 (1.17–2.26), 1.73 (1.25–2.39), and 2.73 (1.82–4.09), respectively]. The subgroup analyses all obtained similar results with overall populations. The results of clinical stages yielded a non-significant association. No publication bias was detected.Materials and MethodsThe PubMed and Chinese National Knowledge Infrastructure databases were searched up to December 27, 2016. Two authors independently selected studies, extracted and analyzed the data using the RevMan 5 software. Either a fixed effect or a random effect model was used to estimate pooled odds ratio and its 95% confidence intervals.ConclusionsWe concluded that interleukin-10 rs1800896 polymorphism was significantly associated with head and neck cancer risk but not with the clinical stages thereof.

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Section: Discussionmentioning

confidence: 51%

Interleukin-10 rs1800896 polymorphism is associated with increased head and neck cancer risk but not associated with its clinical stages

et al. 2017

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“…Many studies have previously investigated the association between TNF-α G-308A polymorphism and MI risk, but have yielded inconsistent results. Meta-analysis is a useful method to combine various single studies to obtain a larger sample size (Bax et al, 2007;Zeng et al, 2015a), and has been widely used in genetic association studies (Leng et al, 2013;Mao et al, 2013;Yan et al, 2014;Suo et al, 2015;Zeng et al, 2015b). In the present study, we performed a metaanalysis to evaluate the association between TNF-α G-308A polymorphism and MI risk.…”

Section: Discussionmentioning

confidence: 99%

Association between TNF-α rs1800629 polymorphism and the risk of myocardial infarction: A meta-analysis

et al. 2016

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ABSTRACT. The tumor necrosis factor-alpha (TNF-α) G-308A polymorphism has been suggested to be a susceptibility factor for myocardial infarction (MI). However, differing results from various studies have led to controversial conclusions. Hence, we performed a meta-analysis to evaluate the association between TNF-α G-308A polymorphism and MI. Reported studies published before March 30, 2015 were included and analyzed from the PubMed and Embase databases. Study selection and data extraction were carried out independently by two authors. The odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the association between the selected variables using the Comprehensive Meta-Analysis v2.2 software. In total, 12 publications with 13 case-control studies consisting of 6037 cases and 7262 controls However, when subgroup analysis was performed according to the stages of MI, results indicated that there was a significant association between TNF-α G-308A polymorphism and the risk of acute MI. Other subgroup analyses revealed no significant associations. Current evidence suggests that TNF-α G-308A polymorphism may be associated with increased risk for acute MI.

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“…The value of I 2 ≤ 40% was considered no substantive heterogeneity existed, so the fixed effect model was employed; otherwise, the random-effects model was used [49]. The OR and 95% CI were calculated for estimating the association between XRCC1 Arg194Trp polymorphism and glioma under the following common used five genetic models [50–53]: allele comparison (Trp vs. Arg), homozygote comparison (TrpTrp vs. ArgArg), heterozygote comparison (ArgTrp vs. ArgArg), dominant model (TrpTrp+ArgTrp vs. ArgArg), and recessive model (TrpTrp vs. ArgArg+ArgTrp), respectively. The subgroups analyses based on the ethnicity, source of controls, and the HWE for controls were performed to explore the potential source of heterogeneity among studies.…”

Section: Methodsmentioning

confidence: 99%

“…The publication bias was detected by funnel plot analysis and the Egger linear regression test [54]. All the analyses were performed using the Comprehensive Meta-Analysis software, version 2.2 (Biostat, Englewood, New Jersey) [50, 52, 53] and all the p values were two-sided.…”

Section: Methodsmentioning

confidence: 99%

Reappraisal of XRCC1 Arg194Trp polymorphism and glioma risk: a cumulative meta-analysis

Deng

Song

et al. 2017

Oncotarget

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The association between XRCC1 Arg194Trp polymorphism and glioma risk were inconsistent from published meta-analyses and epidemiological studies. Hence, we performed this updated and cumulative meta-analysis to reappraisal this relationship. PubMed, Embase, CBM (Chinese Biomedical Database), and CNKI (China National Knowledge Internet) databases were comprehensively searched up to August 13, 2016 (updated on December 22, 2016). After study selection and data extraction from eligible studies, the association was evaluated by odds ratios (ORs) and its 95% confidence intervals (95%CIs) using Comprehensive Meta-Analysis software. Finally 16 case-control studies involving 7011 patients and 9519 healthy controls were yielded. The results indicated that XRCC1 Arg194Trp polymorphism was significantly correlated with the increased risk of glioma [Trp vs. Arg: OR = 1.18(1.05-1.34); TrpTrp vs. ArgArg: OR = 1.66(1.31-2.12); ArgTrp vs. ArgArg: OR = 1.34(1.02-1.77); TrpTrp vs. ArgArg+ArgTrp: OR = 1.47(1.26-1.72); TrpTrp+ArgTrp vs. ArgArg: OR = 1.17(1.01-1.35)]. Cumulative analysis showed the results changed from non-significant to significant when new studies accumulated, and sensitivity analysis indicated the results were stable. Subgroup analysis showed the significant association existed in Asians but not in Caucasians. Current evidence indicated that XRCC1 Arg194Trp polymorphism was associated with increased risk for glioma, especially in Asians; however, relevant studies involving other ethnic groups are required to validate our findings in further.

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Association Between Interleukin‐4 Gene −590 C/T, −33 C/T, and 70‐Base‐Pair Polymorphisms and Periodontitis Susceptibility: A Meta‐Analysis

Abstract: Based on current evidence, the IL-4 -33 C/T and 70-bp polymorphisms were not associated with an increased risk of periodontitis. However, the IL-4 -590 T allele and TT genotype were associated with increased risk of periodontitis in whites.

Cited by 34 publications

References 30 publications

Interleukin-10 rs1800896 polymorphism is associated with increased head and neck cancer risk but not associated with its clinical stages

Interleukin-10 rs1800896 polymorphism is associated with increased head and neck cancer risk but not associated with its clinical stages

Association between TNF-α rs1800629 polymorphism and the risk of myocardial infarction: A meta-analysis

Reappraisal of XRCC1 Arg194Trp polymorphism and glioma risk: a cumulative meta-analysis

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