Abstract:Background. Certain studies have previously explored the association between the estrogen receptor-α (ER-α) gene polymorphisms and periodontitis susceptibility, although the current results are controversial. The present study, using meta-analysis, aimed to investigate the nature of the genetic susceptibility of the ER-α for developing periodontitis. Methods. A comprehensive literature search of PubMed, Embase, CNKI, and Wanfang databases was conducted up to January 8, 2015. Statistical manipulation was perfor… Show more
“…Hence, further original studies should present the association between the polymorphisms and the risk of developing ankylosing spondylitis in HLA-B27 positive population. Although no evidence of publication bias was detected in the present meta-analysis, it is inevitable (Weng et al 2015). Lastly, the major study population in this meta-analysis is Asians; hence, the conclusion of the meta-analysis is only suitable for Asian populations.…”
Section: Discussionmentioning
confidence: 55%
“…Numerous studies examining the association between the TNF-α −857 C/T polymorphism and risk of ankylosing spondylitis have been published in China recently, but results remain controversial. Meta-analysis is a well-known as a statistical method to aggregate previous studies and to increase statistical power, providing more precise results than individual studies (Jung et al 2015; Niu et al 2015; Song et al 2015; Weng et al 2015). Hence, meta-analyses are a powerful method for summarizing evidence from different studies.Fig.…”
Section: Discussionmentioning
confidence: 99%
“…The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to measure the association between TNF-α −857 C/T polymorphism and susceptibility to ankylosing spondylitis susceptibility using the following genetic models: allelic contrast (T vs. C), homozygote contrast (TT vs. CC), heterozygote contrast (CT vs. CC), dominant model (TT + CT vs. CC), and recessive model (TT vs. CT + CC) (Song et al 2015; Weng et al 2015). Heterogeneity between studies was tested using the Q-test and I 2 statistic (Higgins and Thompson 2002).…”
Certain studies have suggested that the tumor necrosis factor-α (TNF-α) −857 C/T polymorphism is associated with risk of ankylosing spondylitis. However, the conclusions remain controversial. Therefore, we performed a meta-analysis to provide a more precise conclusion. Such databases as PubMed, Embase, CBM, CNKI, and Wanfang Data were searched to identify relevant studies up to August 26, 2015. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between TNF-α −857 C/T polymorphism and ankylosing spondylitis susceptibility. A total of 10 studies were included in the meta-analysis. Overall, an elevated risk between TNF-α −857 C/T polymorphism and ankylosing spondylitis was observed in three genetic model (T vs. C: OR 1.86, 95% CI 1.19–2.92; CT vs. CC: OR 2.51, 95% CI 1.49–4.23; TT + CT vs. CC: OR 2.46, 95% CI 1.40–4.30), except in homozygote model (TT vs. CC: OR 2.41, 95% CI 0.96–6.06) and recessive model (TT vs. CT + CC: OR 1.54, 95% CI 0.71–3.35). Sensitivity analysis showed the overall results were robust. Subgroup analyses according to Hardy–Weinberg equilibrium and ethnicity showed that the increased risk of ankylosing spondylitis were predominant in Asian population. This meta-analysis indicated that TNF-α −857 C/T polymorphism might increase the susceptibility of ankylosing spondylitis, especially in Asians. Further studies were needed to verify the conclusion.
“…Hence, further original studies should present the association between the polymorphisms and the risk of developing ankylosing spondylitis in HLA-B27 positive population. Although no evidence of publication bias was detected in the present meta-analysis, it is inevitable (Weng et al 2015). Lastly, the major study population in this meta-analysis is Asians; hence, the conclusion of the meta-analysis is only suitable for Asian populations.…”
Section: Discussionmentioning
confidence: 55%
“…Numerous studies examining the association between the TNF-α −857 C/T polymorphism and risk of ankylosing spondylitis have been published in China recently, but results remain controversial. Meta-analysis is a well-known as a statistical method to aggregate previous studies and to increase statistical power, providing more precise results than individual studies (Jung et al 2015; Niu et al 2015; Song et al 2015; Weng et al 2015). Hence, meta-analyses are a powerful method for summarizing evidence from different studies.Fig.…”
Section: Discussionmentioning
confidence: 99%
“…The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to measure the association between TNF-α −857 C/T polymorphism and susceptibility to ankylosing spondylitis susceptibility using the following genetic models: allelic contrast (T vs. C), homozygote contrast (TT vs. CC), heterozygote contrast (CT vs. CC), dominant model (TT + CT vs. CC), and recessive model (TT vs. CT + CC) (Song et al 2015; Weng et al 2015). Heterogeneity between studies was tested using the Q-test and I 2 statistic (Higgins and Thompson 2002).…”
Certain studies have suggested that the tumor necrosis factor-α (TNF-α) −857 C/T polymorphism is associated with risk of ankylosing spondylitis. However, the conclusions remain controversial. Therefore, we performed a meta-analysis to provide a more precise conclusion. Such databases as PubMed, Embase, CBM, CNKI, and Wanfang Data were searched to identify relevant studies up to August 26, 2015. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between TNF-α −857 C/T polymorphism and ankylosing spondylitis susceptibility. A total of 10 studies were included in the meta-analysis. Overall, an elevated risk between TNF-α −857 C/T polymorphism and ankylosing spondylitis was observed in three genetic model (T vs. C: OR 1.86, 95% CI 1.19–2.92; CT vs. CC: OR 2.51, 95% CI 1.49–4.23; TT + CT vs. CC: OR 2.46, 95% CI 1.40–4.30), except in homozygote model (TT vs. CC: OR 2.41, 95% CI 0.96–6.06) and recessive model (TT vs. CT + CC: OR 1.54, 95% CI 0.71–3.35). Sensitivity analysis showed the overall results were robust. Subgroup analyses according to Hardy–Weinberg equilibrium and ethnicity showed that the increased risk of ankylosing spondylitis were predominant in Asian population. This meta-analysis indicated that TNF-α −857 C/T polymorphism might increase the susceptibility of ankylosing spondylitis, especially in Asians. Further studies were needed to verify the conclusion.
“…Although the pathogenesis of T2DM and MetS are thought to be correlated with many factors, genetics is considered as one of the significant determinants. The PvuII and XbaI polymorphisms of ESR1 gene are hot loci that have been widely researched by many investigators and reported to be associated with the risks of various diseases, such as systemic lupus erythematous [38], periodontitis [39], and premature ovarian failure [40]. Previously, some studies have investigated the relationships between PvuII or XbaI polymorphisms and T2DM or MetS risk, though, so far as we know this is the first meta-analysis to comprehensively evaluate their associations.…”
The associations between PvuII (T>C) and XbaI (A>G) polymorphisms of estrogen receptor alpha (ESR1) gene with type 2 diabetes mellitus (T2DM) or metabolic syndrome (MetS) are reported in many studies, but the results are inconsistent. This present work aims to assess the associations by performing a comprehensive meta-analysis. Relevant studies were searched through several databases. The pooled odd ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the associations of PvuII and XbaI polymorphisms with the risk of T2DM and MetS by using the STATA 14.0 software. Eight studies for T2DM and three articles about MetS were included in this meta-analysis. The overall results indicated that PvuII, rather than XbaI polymorphism, was associated with T2DM (regressive model: OR=0.673, 95% CI=0.550 to 0.823, p<0.001, p<0.003). The subgroup analysis based on race revealed an association of PvuII polymorphism with the decreased T2DM risk in Chinese population and a relationship between XbaI polymorphism and the reduced T2DM susceptibility in Caucasians. The difference of country may be one source of the heterogeneity for PvuII polymorphism and T2DM. However, neither PvuII nor XbaI polymorphism was related to the risk of MetS. The C allele of PvuII polymorphism presents a protective role in T2DM risk, especially in Chinese people. The G allele of XbaI polymorphism is related to a reduced risk for T2DM in Caucasian population. Nevertheless, neither of PvuII nor XbaI polymorphism is associated with MetS risk.
“…Manuscript to be reviewed SNPs in ESR1, both located in the first intron, PvuII (rs2234693) and XbaI (rs9340799), are the most extensively investigated variants and reported to be associated with T2DM (Huang et al 2006;Mohammadi et al 2013), metabolic syndrome (MetS) (Zhao et al 2018) and other diseases (Onland-Moret et al 2005;Silva et al 2010;Weng et al 2015). These polymorphisms might interfere with the estrogen effect by altering ESR1 gene expression via altering the binding of its own transcription factors (Gomes-Rochette et al 2017).…”
Background. Type 2 diabetes mellitus (T2DM) is a multifactorial disease where both genetic and environmental factors contribute to its pathogenesis. The PvuII and XbaI polymorphisms of the estrogen receptor 1(ESR1) gene have been variably associated with T2DM in several populations. This association has not been studied in the Palestinian population. Therefore, the aim of this study was to investigate the association between the PvuII and XbaI variants in the ESR1 and T2DM and its related metabolic traits among Palestinian women. Methods. This case-control study included 102 T2DM and 112 controls in which PvuII and XbaI variants of the ESR1 gene were genotyped using amplicon based next generation sequencing (NGS). Results. Allele frequencies of both PvuII and XbaI variants were not significantly different between patients and control subjects (P>0.05). In logestic regression analysis adjusted for age and BMI, the ESR1 PvuII variant was associated with risk of T2DM in three genotypic models (P< 0.025) but the strongest association was observed under over-dominant model (TT+CC versus TC) (OR=2.32, CI=1.18-4.55 adjusted P=0.013). A similar but nonsignificant trend was also observed for the ESR1 XbaI variant under the over-dominant model (AA+GG versus AG) (OR=2.03, CI=1.05-3.95; adjusted P=0.035). The frequencies of the four haplotypes (TA, CG, CA, TG) were not significantly different in the T2DM patients compared with control group (P>0.025). Among diabetic group, an inverse trend with risk of CVD was shown in carriers of CG haplotype compared to those with TA haplotype (OR=0.28, CI=0.09-0.90; adjusted P=0.035). Further, stratified analyses based on ESR1 PvuII and XbaI genotypes revealed no evidence for association with lipid levels (TC, TG, HDL, LDL). Conclusions. This is the first Palestinian study to conclude that ESR1 PuvII and XbaI variants may contribute to diabetes susceptibility in Palestinian women. Identification of genetic risk markers can be used in defining high risk subjects and in prevention trials.
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