Genetic variants in <Emphasis Type="Italic">FTO</Emphasis> associated with metabolic syndrome: a meta- and gene-based analysis

The objective of this study was to examine the effect of genetic variants in fat mass and obesity associated (FTO) gene on metabolic syndrome (MetS). A systematic literature search was performed and random-effects meta-analysis was used to evaluate genetic variants in FTO with MetS. A gene-based analysis was conducted to investigate the cumulative effects of genetic polymorphisms in FTO. A total of 18 studies from 13 published papers were included in our analysis. Random-effects meta-analysis yielded an estimated odds ratio of 1.19 (95% CI 1.12–1.27; P = 1.38 × 10⁻⁷) for rs9939609, 1.19 (95% CI 1.05–1.35; P = 0.008) for rs8050136, and 1.89 (95% CI 1.20–2.96; P = 0.006) for rs1421085. The gene-based analysis indicated that FTO is strongly associated with MetS (P < 10⁻⁵). This association remains after excluding rs9939609, a SNP that was frequently reported to have strong association with obesity and MetS. In this study, we concluded that the FTO gene may play a critical role in leading to MetS. Targeting this gene may provide novel therapeutic strategies for the prevention and treatment of metabolic syndrome.     

Association of a LSP1 gene rs3817198T>C polymorphism with breast cancer risk: evidence from 33,920 cases and 35,671 controls

Published data on the association between lymphocyte-specific protein 1 (LSP1) rs3817198T>C polymorphism and breast cancer risk are inconclusive. Hence, we conducted a meta-analysis of the LSP1 gene and risk of breast cancer to obtain the most reliable estimate of the association. PubMed, Embase and Web of Science databases were searched. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were extracted and pooled to assess the strength of the association between the LSP1 rs3817198T>C polymorphism and risk of breast cancer. A total of seven eligible studies including 33,920 cases and 35,671 controls based on the search criteria were involved in this meta-analysis. The distributions of genotypes in the controls were all in agreement with Hardy–Weinberg equilibrium. We observed that the LSP1 rs3817198T>C polymorphism was significantly correlated with breast cancer risk when all studies were pooled into the meta-analysis (the allele contrast model: OR = 1.06, 95% CI = 1.04–1.08; the homozygote codominant: OR = 1.14, 95% CI = 1.01–1.28). In the stratified analysis by ethnicity, significant association was observed in Caucasians for CC versus TT homozygote codominant model (OR = 1.25; 95% CI = 1.03–1.52) and for the recessive model (OR = 1.22; 95% CI = 1.02–1.47). There was significant association observed in Africans for CC versus TT homozygote codominant model (OR = 0.45; 95% CI = 0.22–0.92) and for the recessive model (OR = 0.43; 95% CI=0.22–0.88). Also, significant association was observed in mixed ethnicities for CC versus TT homozygote codominant model (OR = 1.12; 95% CI = 1.05–1.19). When stratified by study design, statistically significantly elevated risk was found in nested case–control studies (CC vs. TT: OR = 1.12, 95% CI = 1.05–1.19). But no significant association was observed for all comparison models between LSP1 rs3817198T>C polymorphism and breast cancer risk in hospital-based and people-based studies. When stratified by BRCA1 mutation carriers status, statistically significantly elevated risk was found in this meta-analysis (the allele contrast model: OR = 1.07, 95% CI = 1.01–1.14; the dominant model: OR = 1.09, 95% CI = 1.00–1.18). And significant association was found in the BRCA2 mutation carriers in the allele contrast (OR = 1.11, 95% CI = 1.03–1.20), the homozygote codominant (OR = 1.23, 95% CI = 1.04–1.47), the heterozygote codominant (OR = 1.12, 95% CI = 1.00–1.25) and the dominant models (OR = 1.14, 95% CI = 1.03–1.27). There was significant association between LSP1 rs3817198T>C polymorphism and breast cancer risk in BRCA1 and BRCA2 positive cohort in all comparison models (the allele contrast model: OR = 1.08, 95% CI = 1.03–1.13; CC vs. TT: OR = 1.16, 95% CI = 1.05–1.29; TC vs. TT: OR = 1.09, 95% CI = 1.01–1.16; the dominant model: OR = 1.10, 95% CI = 1.03–1.17; the recessive model: OR = 1.12, 95% CI = 1.01–1.23). In conclusion, this meta-analysis suggests that the LSP1 rs3817198T>C polymorphism is a low-penetrant risk factor for developing breast cancer but may not be in Africans.     

<Emphasis Type="Italic">TGFBR1</Emphasis>*6A/9A polymorphism and cancer risk: a meta-analysis of 13,662 cases and 14,147 controls

Published data on the association between TGFBR1*6A/9A polymorphism and cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 32 studies including 13,662 cases and 14,147 controls were involved in this meta-analysis. Overall, significantly elevated cancer risks were associated with TGFBR1*6A in all genetic models (for allelic effect: OR = 1.11; 95% CI = 1.03–1.21; for 6A/6A vs. 9A/9A: OR = 1.30; 95% CI = 1.01–1.69; for 9A/6A vs. 9A/9A: OR = 1.08; 95% CI = 1.01–1.15; for dominant model: OR = 1.08; 95% CI = 1.02–1.15; for recessive model: OR = 1.29; 95% CI = 1.00–1.68). In the subgroup analysis by cancer types, significant associations were found in breast cancer (for allelic effect: OR = 1.16; 95% CI = 1.01–1.34) and ovarian cancer (for allelic effect: OR = 1.24; 95% CI = 1.00–1.54; for 6A/6A vs. 9A/9A: OR = 2.34; 95% CI = 1.03–5.33). However, no significant associations were found in colorectal cancer, bladder cancer, prostate cancer and lung cancer for all genetic models. In summary, this meta-analysis suggests that the TGFBR1*6A/9A polymorphism is associated with cancer susceptibility, increasing the risk of breast and ovarian cancer.     

Association between ATM 5557G>A polymorphism and breast cancer risk: a meta-analysis

Epidemiological studies have evaluated the association between ATM 5557G>A (p.D1853N) polymorphism and breast cancer risk. However, the results remain conflicting rather than conclusive. To derive a more precise estimation of the relationship, we performed this meta-analysis. Systematic searches of PubMed and Medline databases were performed. A total of nine studies included 3155 cases and 2752 controls were identified. When all nine studies were pooled into the meta-analysis, there was no evidence for significant association between 5557G>A mutation and breast cancer risk(for G/A vs. G/G: OR = 1.05, 95% CI = 0.83–1.34; for A/A vs. G/G: OR = 0.77, 95% CI = 0.58–1.03; for dominant model: OR = 1.04, 95% CI = 0.82–1.31; for recessive model: OR = 0.87, 95% CI = 0.69–1.09). In the subgroup analyses by family history and ethnicity, significant associations were found among Amerindians (for G/A vs. G/G: OR = 2.19, 95% CI = 1.38–3.47; for dominant model: OR = 2.15, 95% CI = 1.37–3.38). In summary, the meta-analysis suggest that ATM 5557G>A polymorphism is associated with increased breast cancer risk among Amerindians. However, due to the small subjects included in analysis and the selection bias existed in some studies, the results for Amerindians should be interpreted with caution.     

Survivin promoter ?31G/C (rs9904341) polymorphism and cancer susceptibility: a meta-analysis

This study aimed to perform a meta-analysis to assess the association of survivin −31 G/C promoter polymorphism and cancer risk. Thirteen case–control studies identified through PubMed and published between 2007 and 2011 with a total of 3329 cancer cases and 3979 controls were included in this meta-analysis. Odds ratio (OR) and 95% confidence interval (95% CI) were used to investigate the strength of the association. Overall, the pooled analysis showed that survivin −31C allele was associated with 1.27 fold increased risk of cancer compared with the −31G allele (95% CI = 1.091–1.479; random model). Subgroup analyses based on type of cancer and ethnicity were also performed, and results indicated that survivin −31G/C polymorphism was not associated with risk of gastric cancer [OR = 2.879; 95% CI = 0.553–15.004) for CC vs.GG] and esophageal cancer [OR = 1.352; 95% CI = 0.494–3.699) for CC vs.GG]. Stratification on the basis of ethnicity showed that the risk due to −31C allele was significant only in Asian population [OR = 1.894; 95% CI = 1.206–2.974 for CC vs.GG]. The present meta-analysis suggests an important role of survivin −31 G/C polymorphism with cancer risk especially in Asian population. However, further studies with larger sample size are required to draw more comprehensive conclusions and provide more precise evidence in individual cancers.     

XPA A23G polymorphism and susceptibility to cancer: a meta-analysis

Xeroderma pigmentosum group A (XPA) participates in modulating recognition of DNA damage during the DNA nucleotide excision repair process. The XPA A23G polymorphism has been investigated in case–control studies to evaluate the cancer risk attributed to the variant, but the results were conflicting. To clarify the effect of XPA A23G polymorphism in cancer risk, we conducted a meta-analysis that included 30 published case–control studies. Overall, no significant association of XPA A23G variant with cancer susceptibility was observed for any genetic model. However, significant association was observed for colorectal cancer (GG vs. AA: OR = 1.68, 95% CI = 1.15–2.44; dominant genetic model GG + AG vs. AA: OR = 1.54, 95% CI = 1.08–1.17), for breast cancer an increased but non-significant risk was found (GG vs. AA: OR = 1.27, 95% CI = 0.98–1.66; dominant genetic model GG + AG vs. AA: OR = 1.27, 95% CI = 0.99–1.63), and for head and neck cancer an increased risk was observed in recessive model (OR = 1.19, 95% CI = 1.02–1.38), whereas for lung cancer a significant reduced risk was observed (GG vs. AA: OR = 0.77, 95% CI = 0.66–0.90; dominant genetic model GG + AG vs. AA: OR = 0.76, 95% CI = 0.66–0.87), it’s noting that in Asian population the inverse association was more apparent. In addition, in Asian population for esophageal cancer a significant decreased risk was also found in dominant genetic model (OR = 0.55; 95% CI = 0.43–0.70) and for head and neck cancer an increased risk was observed in dominant genetic model (OR = 1.51, 95% CI = 1.03–2.23). The meta-analysis suggested that the XPA A23G G allele is a low-penetrant risk factor for cancer development.     

Association of IL-10-1082 promoter polymorphism with susceptibility to gastric cancer: evidence from 22 case–control studies

Evidence suggested that interleukin-10 (IL-10) may be involved in the etiology of gastric cancer (GC). However, epidemiological studies on the association between IL-10-1082 promoter polymorphism and GC risk are still ambiguous. To quantitatively summarize the evidence for such a relationship, we performed a meta-analysis. Systemic searches of the PubMed and Medline databases were performed, with the last report up to July 2011. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. 22 independent studies including 4,289 cases and 5,965 controls were involved in this meta-analysis. Obvious association was found when all studies were pooled into the meta-analysis (A vs. G: OR = 0.489, 95% CI = 0.335–0.713, P < 0.001). In the subgroup analysis by ethnicity, we observed significant associations in Asians (A vs. G: OR = 0.651, 95% CI = 0.506–0.838, P = 0.001; AA vs. GG: OR = 0.482, 95% CI = 0.328–0.709, P < 0.001; AA/AG vs. GG: OR = 0.711, 95% CI = 0.527–0.959, P = 0.025; AA vs. AG/GG: OR = 0.701, 95% CI = 0.520–0.944, P = 0.019) and Caucasians (A vs. G: OR = 0.365, 95% CI = 0.140–0.949, P = 0.039), but not in Latino population. When stratified analysis by control sources, our results indicated that A allele decreased approximately 48% risk among population-based studies (A vs. G: OR = 0.524, 95% CI = 0.374–0.733, P < 0.001). Taken together, this meta-analysis suggests that IL-10-1082 polymorphism is associated with GC risk.     

CXCL12 G801A polymorphism and breast cancer risk: a meta-analysis

The G801A polymorphism in the CXCL12 gene has been implicated in breast cancer risk. However, the published findings are inconsistent. We therefore performed a meta-analysis to investigate this relationship. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the association. The pooled ORs were performed for codominant model, dominant model, and recessive model, respectively. Five published case–control studies, including 1,058 breast cancer cases and 1,023 controls were identified. No study had a deviation from the Hardy–Weinberg equilibrium (HWE) in controls. We found that the CXCL12 G801A (rs1801157) polymorphism was associated with a significantly increased risk of breast cancer risk when all studies were pooled into the meta-analysis (codomiant model: AA versus GG, OR = 1.64, 95% CI = 1.16–2.33; GA versus GG, OR = 1.42, 95% CI = 1.18–1.71; dominant model: AA/GA versus GG, OR = 1.44, 95% CI = 1.21–1.72). Furthermore, Egger’s test did not show any evidence of publication bias (P > 0.05 for the dominant model). In conclusion, the results suggest that the CXCL12 G801A polymorphism may be a low-penetrant risk factor for developing breast cancer.     

Quantitative assessment of the effect of MTHFR polymorphisms on the risk of lung carcinoma

Published studies on the relationships between 5,10-methylenetetrahydrofolate reductase (MTHFR) polymorphisms and lung cancer risk have been conflicting. To derive a more precise estimation of the relationship, a meta-analysis was performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association between MTHFR C677T and A1298C polymorphisms and lung cancer risk. A total of 15 studies including 10,753 cases and 11,275 controls described C677T genotypes, among which 11 articles totalling 6,161 cases and 7,684 controls described A1298C genotypes, were also involved in this meta-analysis. Overall, no significantly elevated lung cancer risk was found in any genetic models when all studies were pooled. For C677T polymorphism: (TT vs. CC: OR = 1.17, 95% CI = 0.97–1.42; TC vs. CC: OR = 1.06, 95% CI = 0.94–1.20; dominant model: OR = 1.09, 95% CI = 0.96–1.24; and recessive model: OR = 1.08, 95% CI = 0.95–1.24); for A1298C polymorphism: (CC vs. AA: OR = 1.04, 95% CI = 0.91–1.19; AC vs. AA: OR = 0.98, 95% CI = 0.91–1.06; dominant model: OR = 0.99, 95% CI = 0.92–1.06; and recessive model: OR = 1.05, 95% CI = 0.92–1.20). In the subgroup analyses, the results showed that 677T varients could decrease lung cancer risk in female (OR = 0.63, 95% CI = 0.41–0.95, P-value = 0.03, 677CC as reference). No evidence of any associations of MTHFR A1298C polymorphism with lung cancer was found in overall or subgroup analyses. Our meta-analysis supports that the common polymorphisms of C677T and A1298C in MTHFR gene are not susceptibility gene for lung cancer from currently available evidence.     

Association of C47T polymorphism in <Emphasis Type="Italic">SOD2</Emphasis> gene with coronary artery disease: a case–control study and a meta-analysis

Oxidative damage promotes atherosclerosis. SOD2 is an important antioxidant enzyme. A case–control study and a meta-analysis were performed to assess the association of C47T polymorphism in SOD2 gene with premature, late-onset and overall coronary artery disease (CAD) risk. A hospital-based case–control study was conducted with 269 premature CAD cases, 278 late-onset CAD cases and 299 healthy controls. Polymerase chain reaction (PCR) and Pyrosequencing were used to detect the polymorphism. Multinomial logistic regression model was performed to estimate odds ratio (OR) with 95% confidence intervals (CIs) and adjust potential confounders. A meta-analysis was performed using eight outcomes including our result. Fixed or random effect pooled measure was selected on the basis of homogeneity test among studies. Heterogeneity among studies was evaluated using I ². Meta-regression was used to explore potential sources of between-study heterogeneity. Publication bias was estimated using Peters’s linear regression test. In our case–control study, compared with the TT as the reference, the mutant genotype of CC + TC was significantly associated with a reduced premature CAD risk both in univariate (OR = 0.60, 95% CI = 0.41–0.87) and multivariate (OR = 0.59, 95% CI = 0.40–0.87) logistic regressions, but not with late-onset CAD risk. After excluding one article that deviated from Hardy–Weinberg equilibrium in controls, this meta-analysis showed a significant association of the C allele with reduced risk of CAD in dominant (FEM: OR = 0.69, 95% CI = 0.61–0.78), recessive (OR = 0.64, 95% CI = 0.50–0.82), and codominant (FEM: OR = 0.73, 95% CI = 0.65–0.80) models. Our study suggested that the mutant genotype of CC + TC was significantly associated with a reduced CAD risk.     

Meta-analysis of TYK2 gene polymorphisms association with susceptibility to autoimmune and inflammatory diseases

The aim of our meta-analysis was to quantitatively summarize the association of TYK2 gene polymorphisms with autoimmune and inflammatory diseases. 11 studies that included data from 21497 cases and 22647 controls were identified. OR was used as a measure of the effect of the association in a fixed/random effect model. Meta-analysis was performed for six TYK2 gene polymorphisms (rs34536443, rs2304256, rs280523, rs280519, rs12720270 and rs12720356). Significant association was found in rs34536443 (C versus G: OR = 0.76, 95% CI = 0.69–0.84, P < 0.00001; GC + CC versus GG: OR = 0.78, 95% CI = 0.68–0.90, P = 0.0005; CC versus GG + GC: OR = 0.76, 95% CI = 0.28–2.05, P = 0.58; CC versus GG: OR = 0.74, 95% CI = 0.27–2.02, P = 0.56; GC versus GG: OR = 0.78, 95% CI = 0.68–0.90, P = 0.0006) and rs2304256 (A versus C: OR = 0.78, 95% CI = 0.70–0.87, P < 0.0001; CA + AA versus CC: OR = 0.69, 95% CI = 0.59–0.81, P < 0.0001; AA versus CC + CA: OR = 0.75, 95% CI = 0.66–1.00, P = 0.05; AA versus CC: OR = 0.64, 95% CI = 0.47–0.86, P = 0.003; CA versus CC: OR = 0.70, 95% CI = 0.60–0.83, P < 0.0001) in TYK2 gene, but not for the other polymorphisms (rs280523, rs280519, rs12720270, and rs12720356). This meta-analysis demonstrates that autoimmune and inflammatory diseases is associated with TYK2 gene rs34536443 and rs2304256 polymorphisms, but not rs280523, rs280519, rs12720270 and rs12720356.     

Association between Fat Mass- and Obesity- Associated (FTO) Gene Polymorphism and Polycystic Ovary Syndrome: A Meta-Analysis

Aims

Many studies have investigated the relationship between FTO gene polymorphism and polycystic ovary syndrome (PCOS) susceptibility but revealed mixed results. In this study, we aimed to perform a meta-analysis to clarify this association.

Methods

Published literature from PubMed, Embase and CNKI was retrieved. Meta-analysis was performed to calculate pooled odds ratio (OR) with 95% confidence interval (CI) using the random- or fix- effects model.

Results

A total of 5 studies (4778 cases and 4272 controls) were included in our meta-analysis. The results suggested that FTO rs9939609 polymorphism (or its proxy) was marginally associated with PCOS risk after adjustment for body mass index (BMI) (OR = 1.26; 95%CI: 1.02–1.55). However, the marginal association was not stable after sensitivity analysis. In the subgroup analysis by ethnicity, the association was significant in East Asians (OR = 1.43, 95%CI = 1.30–1.59) but not in Caucasians (OR = 1.04, 95%CI = 0.85–1.29).

Conclusions

Our present meta-analysis indicated that FTO rs9939609 polymorphism (or its proxy) might not be associated with risk of PCOS in overall population. However, in East Asians, there might be a direct association between FTO variant and PCOS risk, which is independent of BMI (adiposity).     

Vitamin D receptor ApaI,TaqI, BsmI,and FokI polymorphisms and psoriasis susceptibility: a meta-analysis

The aim of this study was to explore whether vitamin D receptor (VDR) polymorphisms confer susceptibility to psoriasis. Meta-analyses were conducted on the associations between the VDR ApaI, TaqI, BsmI, and FokI polymorphisms and psoriasis. Nine relevant studies on VDR polymorphisms and psoriasis were included in this meta-analysis, which involved 742 psoriasis patients and 715 controls. Meta-analysis indicated an association between the VDR ApaI A allele and psoriasis in Turkish studies (OR = 0.684, 95% CI = 0.475–0.985, p = 0.041). Meta-analysis indicated an association between the BsmI B allele and psoriasis in Asians (OR = 0.636, 95% CI = 0.411–0.984, p = 0.041), and showed a significant association between the FF and ff genotypes of the FokI polymorphism and psoriasis in all study subjects and in Turkish studies (OR = 2.028, 95% CI = 1.194–3.446, p = 0.009; OR = 3.582, 95% CI = 1.602–8.009, p = 0.002). This meta-analysis suggests that the VDR ApaI polymorphism confers susceptibility to psoriasis in the Turkish population. In addition, associations were found between the BsmI polymorphism and susceptibility to psoriasis in Asians and between the Fok I polymorphism and psoriasis in the Turkish population.     

Current evidences on vascular endothelial growth factor polymorphisms and breast cancer susceptibility

Several polymorphisms of vascular endothelial growth factor (VEGF) such as 936 C/T, −2578 C/A, −406 C/T, and −1154 G/A polymorphism have been identified. Published data on the association between VEGF polymorphisms and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Crude OR with 95% CI was used to assess the strength of association between them. For VEGF 936C/T polymorphism, a total of 10 studies including 7,685 cases and 7,915 controls were involved in this meta-analysis. Overall, no significant associations were found between VEGF 936C/T polymorphism and breast cancer risk when all studies pooled into the meta-analysis (TC vs. CC: OR = 0.904, 95% CI = 0.797–1.024; TT vs. CC: OR = 0.974, 95% CI = 0.786–1.205; dominant model: OR = 0.911, 95% CI = 0.811–1.024; and recessive model: OR = 0.991, 95% CI = 0.801–1.226). In the subgroup analysis by ethnicity, still no significant associations were found for all comparison models. For −2578 C/A, −406 C/T, and −1154 G/A polymorphism, there were too limited data to perform a meta-analysis. In conclusion, this meta-analysis suggests that the VEGF 936C/T polymorphism may be not associated with breast cancer development. However, large sample and representative population-based studies with homogeneous breast cancer patients and well matched controls are warranted to confirm this finding.     

A genetic variant in microRNA-196a2 is associated with increased cancer risk: a meta-analysis

MicroRNAs (miRNAs) are small non-coding RNA molecules that function as negative regulators of gene expression. Common genetic variants (single nucleotide polymorphisms, SNPs) in miRNA genes may alter their expression or maturation resulting in varied functional consequences. Until now, several studies had evaluated the association between the polymorphisms in the hsa-miR-196a2 rs11614913 and cancer risk in diverse populations and in multiple types of cancer, with contradictory outcomes. Therefore, here we performed a meta-analysis to address the association between this polymorphism and cancer risk. A total of nine studies involving 6,540 cases and 7,562 controls were retrieved based on PubMed. Our analysis demonstrated that hsa-miR-196a2 rs11614913 CC genotype significantly increased the cancer risk in homozygote comparison model compared to TT genotype (OR = 1.18; 95% CI, 1.01–1.68). Moreover, significant association of this polymorphism with breast cancer was found based on homozygote comparison model (OR = 1.30; 95% CI, 1.01–1.26) and dominant model (OR = 1.11; 95% CI, 1.01–1.23). In addition, hsa-miR-196a2 rs11614913 CC genotype was significantly associated with cancer risk in Chinese and Indian (OR = 1.21; 95% CI, 1.05–1.40), but not in Caucasians (OR = 1.03; 95% CI, 0.89–1.19). Taken together, our results indicate that the polymorphism of hsa-miR-196a2 rs11614913 is associated with cancer susceptibility, especially with breast cancer and in Chinese and Indian populations.     

Association between ATM polymorphisms and cancer risk: a meta-analysis

To date, epidemiological studies have assessed the association between Ataxia-telangiectasia mutated (ATM) gene polymorphisms and cancer risk, including lung cancer, breast cancer, glioma and pancreatic cancer. However, the results of these studies remain controversial. We aimed to examine the associations between two SNPs (rs664143 and rs664677) and cancer risk by conducting a meta-analysis of case–control studies. A total of 12 publications were included in this meta-analysis, 8 for rs664143 and 7 for rs664677. Overall, rs664143 heterozygote carriers turned out to be associated with cancer risk (OR = 1.18, 95% CI 1.02–1.36). In the subgroup analysis by cancer type, we observed that the ATM rs664143 polymorphism was significantly associated with lung cancer risk (GA vs. GG: OR = 1.48, 95% CI 1.18–1.85, AA vs. GG: OR = 1.51, 95% CI 1.18–1.93) and rs664677 polymorphism was associated with decreased lung cancr risk and increased breast cancer risk (for lung cancer: TC vs. TT: OR = 0.76, 95% CI 0.62–0.92, CC vs. TT: OR = 0.80, 95% CI 0.64–0.99 and for breast cancer: TC vs. TT: OR = 1.42, 95% CI 1.17–1.73, CC vs. TT: OR = 1.51, 95% CI 1.21–1.87). In the subgroup analysis by region, we also observed that individuals with ATM rs664143 GA or AA genotype had an obvious increased cancer risk among Asian people (GA vs. GG: OR = 1.40, 95% CI 1.20–1.63, AA vs. GG: OR = 1.37, 95% CI 1.16–1.62). In conclusion, ATM rs664143 polymorphism was associated with cancer susceptibility. ATM rs664143 polymorphism was significantly associated with lung cancer risk. ATM rs664677 polymorphism was associated with decreased lung cancer risk as well as increased breast cancer risk.     

Association between HFE polymorphisms and susceptibility to Alzheimer’s disease: a meta-analysis of 22 studies including 4,365 cases and 8,652 controls

Whether the variations in the hemochromatosis (HFE) gene increase Alzheimer’s disease (AD) risk is still undetermined. We performed a meta-analysis in order to systematically summarize the possible association. Studies were identified by searching PUBMED, Web of Science and EMBASE databases complemented with screening the references of the retrieved studies. The association was measured using random-effect or fixed-effect odds ratio (OR) combined with 95% confidence intervals (CIs) according to the studies’ heterogeneity. For C282Y polymorphism, we did not find any association using data from 22 studies including 4,365 cases and 8,652 controls. For H63D polymorphism, on the basis of 2,795 cases and 7,424 controls from 17 studies, we observed a significant association (allele contrast: OR = 0.902, 95% CI = 0.819–0.994, P = 0.037; minor-allele-dominant model: OR = 0.887, 95% CI = 0.790–0.996, P = 0.043). No publication bias was detected in this meta-analysis. The synthesis of available evidence supports mutant of HFE H63D polymorphism plays a protective role for AD risk.     

Pooled-analysis of the associations between three polymorphisms in the <Emphasis Type="Italic">VEGF</Emphasis> gene and age-related macular degeneration

The vascular endothelial growth factor (VEGF) gene has been suggested to play an important role in the pathogenesis of age-related macular degeneration (AMD). However, the results have been inconsistent. In this study, we performed a meta-analysis to clarify the associations between VEGF polymorphisms and AMD risk across different populations. Published literature from PubMed and EMBASE were retrieved. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated using fixed- or random-effects model. Five studies (1,280 cases and 715 controls) for rs833061 polymorphism, five studies (1,033 cases and 807 controls) for rs1413711 polymorphism, and four studies (1,217 cases and 4,079 controls) for rs2010963 polymorphism were identified. No statistically significant association was found for rs833061, rs1413711 and rs2010963 polymorphisms, although there were significant associations for rs833061 polymorphism under a homogeneous co-dominant model (CC vs. TT: OR = 1.59, 95%CI 1.14–2.23) and for rs1413711 polymorphism under a recessive model (TT vs. CT + CC: OR = 1.50, 95%CI 1.08–2.08), the results were not robust by sensitivity analysis. However, there was a significant association for rs833061 among European and East Asian populations, and for rs1413711 among Europeans. The present meta-analyses indicated that there were no significantly associations between VEGF polymorphisms (rs833061, rs1413711, rs2010963) and the risk of AMD, although the association was different for each polymorphism among different populations.     

Association between paraoxonase 2 Ser311Cys polymorphism and ischemic stroke risk: a meta-analysis involving 5,008 subjects

Epidemiological studies have evaluated the association between paraoxonase 2 (PON2) Ser311Cys polymorphism and ischemic stroke risk which developed inconsistent conclusions. The aim of this study was to perform a meta-analysis to investigate a more authentic association between PON2 Ser311Cys polymorphism and ischemic stroke. Systematic searches in PUBMED, EMBASE, CBM, and CNKI databases were performed. Data analyses were carried out by Review Manager 5.1.2 and Stata 11.0. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used for additive model (Cys/Cys vs. Ser/Ser), dominant model (Ser/Cys+Cys/Cys vs. Ser/Ser), recessive model (Cys/Cys vs. Ser/Cys+Ser/Ser), and allelic model (Cys allele vs. Ser allele), respectively. Publication bias was analyzed by Begg’s funnel plot and Egger’s test. A total of 7 studies including 2,046 cases and 2,962 controls were involved. Overall, no significant association was found between PON2 Ser311Cys polymorphism and ischemic stroke risk when all studies were pooled into the meta-analysis (for additive model: OR = 0.87, 95% CI = 0.67–1.14; for dominant model: OR = 1.05, 95% CI = 0.91–1.22; for recessive model: OR = 0.90, 95% CI = 0.77–1.05; and for allelic model: OR = 1.17, 95% CI = 0.86–1.59). In the subgroup analysis by ethnicity, significant association was found among Europeans (for recessive model: OR = 0.83, 95% CI = 0.69–0.99). However, due to the small number of studies included in subgroup analysis, the result for European population should be interpreted cautiously.     

Intercellular adhesion molecule 1 gene K469E polymorphism is associated with coronary heart disease risk: a meta-analysis involving 12 studies

Coronary atherosclerosis is a leading cause of coronary heart disease (CHD). Atherosclerotic lesion is a complex polygenic disease in which gene-environment interactions play a critical role in disease onset and progression. The ICAM1 gene-E469K polymorphism has been reported to be associated with CHD, but results were conflicting. A systematic review and meta-analysis of the published studies were performed to gain a clearer understanding of this association. The PubMed, Embase, and CNKI databases were searched for case–control studies published up to August 2011. Data were extracted and pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated. Twelve eligible studies, comprising 2,157 cases and 1,952 controls, were included in the meta-analysis. The pooled result showed that the ICAM1 gene-E469K polymorphism was significantly associated with an increased risk of CHD (OR = 1.496, 95% CI = 1.363–1.642, for the allele K vs. allele E; OR = 1.919, 95% CI = 11.635–2.253, for the K allele carriers vs. EE). Subgroup analysis supported the results in the Asian populations and in the Caucasian populations. This meta-analysis suggests that the ICAM1 gene K469E polymorphism is associated with CHD risk and the K allele is a more significant risk factor for developing CHD among Asian and Caucasians populations.