Correlations of SELE and SELP genetic polymorphisms with myocardial infarction risk: a meta-analysis and meta-regression

This meta-analysis was undertaken in an attempt to understand the relationships of functional polymorphisms in the SELE and SELP genes to myocardial infarction (MI) risk. The PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases were searched for relevant articles published before March 1st, 2013 without any language restrictions. Meta-analysis was conducted using the STATA 12.0 software. Crude odds ratios with 95 % confidence intervals were calculated. The effect of SELE and SELP genetic polymorphisms on the pathogenesis of MI was investigated in this meta-analysis with a total of ten case–control studies, including 2,696 MI patients and 4,724 healthy subjects. Eight single nucleotide polymorphisms were assessed, including polymorphisms 98G/T, 128S/R and 561A/C in the SELE gene, and polymorphisms 715T/P, 599V/L, 290S/N, 562N/D and 2123G/C in the SELP gene. The results of our meta-analysis suggested that SELE genetic polymorphisms might be correlated with an increased risk of MI, especially for 128S/R and 561A/C polymorphisms. A subgroup analysis by ethnicity was conducted to investigate its effects on susceptibility to MI. The results revealed positive significant correlations between SELE genetic polymorphisms and the risk of MI among Asians, but not among Caucasians (all P > 0.05). Nevertheless, no significantly correlations were found between SELP genetic polymorphisms and MI risk (all P > 0.05). In the subgroup analysis by ethnicity, we also did not observe significant associations between SELP genetic polymorphisms and MI risks among both Asians and Caucasians (all P > 0.05). The current meta-analysis suggests that SELE genetic polymorphisms may contribute to the development of MI, especially for the 128S/R and 561A/C polymorphisms among Asians. However, SELP genetic polymorphisms may not be important risk factors in MI.     

Correlations of SELE genetic polymorphisms with risk of coronary heart disease and myocardial infarction: a meta-analysis

This meta-analysis of case–control studies was conducted to determine whether SELE genetic polymorphisms contribute to the pathogenesis of coronary heart disease (CHD) and myocardial infarction (MI). The PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases were searched for relevant articles published before November 1st, 2013 without any language restrictions. Meta-analysis was conducted using the STATA 12.0 software. Twenty case–control studies met the inclusion criteria, with a total of 2,292 CHD patients, 901 MI patients and 3,233 healthy controls. Six common polymorphisms in the SELE gene were evaluated, including 554L/F, 98G/T, 128S/R, 2692G/A, 1901C/T, and 1856A/G. The results of our meta-analysis suggest that SELE genetic polymorphisms might be strongly correlated with an increased risk of CHD (allele model: OR 2.08, 95 % CI 1.67–2.58, P < 0.001; dominant model: OR 2.12, 95 % CI 1.68–2.68, P < 0.001; respectively), especially the SELE 554L/F, 98G/T and 128S/R polymorphisms. Furthermore, our findings indicated that SELE genetic polymorphisms were closely linked to the risk of CHD in Asians but not Caucasians. However, our findings reveal no positive correlations between SELE genetic polymorphisms and MI risk (allele model: OR 1.39, 95 % CI 1.00–1.94, P = 0.054; dominant model: OR 1.40, 95 % CI 0.96–2.04, P = 0.081; respectively). The current meta-analysis suggests that SELE genetic polymorphisms may contribute to an increased risk of CHD, especially the SELE 554L/F, 98G/T and 128S/R polymorphisms in Asians. However, SELE genetic polymorphisms may not be important determinants of susceptibility to MI.     

SELP genetic polymorphisms may contribute to the pathogenesis of coronary heart disease and myocardial infarction: a meta-analysis

We conducted a meta-analysis of case–control studies to determine whether SELP genetic polymorphisms contribute to the pathogenesis of coronary heart disease (CHD) and myocardial infarction (MI). A range of electronic databases were searched: MEDLINE (1966–2013), the Cochrane Library Database (Issue 12, 2013), EMBASE (1980–2013), CINAHL (1982–2013), Web of Science (1945–2013) and the Chinese biomedical database (1982–2013) without language restrictions. Meta-analysis was performed with the use of the STATA statistical software. Nine case–control studies with a total of 3,154 CHD patients, 1,608 MI patients and 17,304 healthy controls were involved in this meta-analysis. Six common polymorphisms in the SELE gene were assessed, including ?1969G/A (rs1800805 G > A), ?1817T/C (rs1800808 T > C), ?2123C/G (rs1800807 C > G), Thr715Pro (rs6136 A > C), Leu599Val (rs6133 G > T), and Ser290Asn (rs6131 C > T). Our findings illustrated significantly positive associations of SELE genetic polymorphisms with the development of CHD and MI. The results of subgroup analysis by SNP type indicated that ?1969G/A, ?1817T/C, ?2123C/G, Thr715Pro and Ser290Asn in the SELP gene might be strongly correlated with CHD and MI risk, but no similar results were found in SELP Leu599Val polymorphism. In the subgroup analysis by ethnicity, our results indicated significant relationships between SELE genetic polymorphisms and the pathogenesis of CHD and MI among Asians and Caucasians. However, we observed no significant associations between SELP genetic polymorphisms and the risk of CHD and MI among Africans. Our findings provide empirical evidence that SELE genetic polymorphisms may contribute to the pathogenesis of CHD and MI, especially among Asians and Caucasians. Thus, SELP genetic polymorphisms could be potential and practical biomarkers for early diagnosis of CHD and MI.     

Paraoxonase 1 genetic polymorphisms and susceptibility to breast cancer: a meta-analysis

AimThe paraoxonase 1 gene (PON1, MIN: 168820) is a member of the multifactorial antioxidant enzyme paraoxonase family (EC 3.1.1.2). Two common functional single-nucleotide polymorphisms L55M (dbSNP: rs854560) and Q192R (dbSNP: rs662) have been identified in the coding region of PON1. Several studies have investigated the associations between polymorphisms of PON1 and susceptibility to breast cancer, but have yielded apparently conflicting results. We therefore carried out a meta-analysis of published studies to clarify this inconsistency and to establish a comprehensive picture of the relationship between PON1 gene variants and breast cancer risk. Method: Overall six eligible studies were identified. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were obtained using fixed and random-effect models. Results: In our meta-analysis, the presence of the R allele was associated with decreased risk of breast cancer (QR + RR compared to QQ genotype, summary OR = 0.57, 95% CI: 0.49–0.67, P < 0.001). Both heterozygosity (OR = 1.32, 95% CI: 1.10–1.58, P = 0.002) and homozygosity (OR = 2.16, 95% CI: 1.75–2.68, P < 0.001) for the 55M allele were associated with increased risk of breast cancer. Also there was a significant linear trend in risk associated with zero, one, and two 55M alleles (χ² = 54.2, P < 0.001).ConclusionThe present study showed that PON1 M and Q alleles are associated with a higher risk of breast cancer. Individuals having MM and QQ genotypes have a lower level and lower detoxification activity of the PON1 enzyme, which may increase the vulnerability of the breast to genetic damage by reducing the ability to detoxify inflammatory oxidants, as well as dietary carcinogens.     

Association of genetic polymorphisms in ADH and ALDH2 with risk of coronary artery disease and myocardial infarction: A meta-analysis

Alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH) are the major enzymes responsible for alcohol metabolism in humans. Emerging evidences have shown that functional polymorphisms in ADH and ALDH genes might play a critical role in increasing coronary artery disease (CAD) and myocardial infarction (MI) risks; however, individually published studies showed inconclusive results. The aim of this meta-analysis is to evaluate the associations between the genetic polymorphisms of ADH and ALDH genes with susceptibility to CAD and MI. A literature search was conducted on PubMed, Embase, Web of Science and Chinese BioMedical databases from inception through December 1st, 2012. Crude relative risks (RRs) with 95% confidence intervals (CIs) were calculated. Twelve case–control studies were included with a total of 9616 subjects, including 2053 CAD patients, 1436 MI patients, and 6127 healthy controls. Meta-analysis showed that mutant genotypes (GA + AA) of the rs671 polymorphism in the ALDH2 gene were associated with increased risk of both CAD and MI (CAD: RR = 1.20, 95%CI: 1.03–1.40, P = 0.021; MI: RR = 1.32, 95%CI: 1.11–1.57, P = 0.002). However, there were no significant associations of ADH genetic polymorphisms to CAD and MI risks (CAD: RR = 0.92, 95%CI: 0.73–1.15, P = 0.445; MI: RR = 0.93, 95%CI: 0.84–1.03, P = 0.148). In conclusion, this meta-analysis provides strong evidence that ALDH2 rs671 polymorphism may be associated with increased risks of CAD and MI. However, further studies are still needed to accurately determine whether ADH genetic polymorphisms are associated with susceptibility to CAD and MI.     

The genetic polymorphisms of intercellular cell adhesion molecules and breast cancer susceptibility: a meta-analysis

Intercellular cell adhesion molecules (ICAMs) genetic polymorphisms have been considered to be implicated in the development of breast cancer. However, the previous reports are conflicting. Therefore, we performed a meta-analysis to assess the association between three polymorphisms, including ICAM1 K469E, ICAM5 V301I, ICAM5 rs281439, and breast cancer risk. The meta-analyses are based on a literature search of PubMed, CNKI and VIP database up until August 2011. Pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated using review manager 5.0.25 package. In total, five populations (2,020 cases and 2,012 controls) on ICAM1 K469E polymorphism, four populations (1,797 cases and 2,244 controls) on ICAM5 V301I polymorphism and five populations (2,744 cases and 3,006 controls) on ICAM5 rs281439 variant were included. Overall, the meta-analysis showed no significant association between ICAM1 K469E polymorphism and breast cancer risk. However, a significant association was observed for ICAM5 V301I polymorphism (VV vs. II: OR = 1.48, 95 % CI 1.04–2.13, P = 0.03; VV/VI vs. II: OR = 1.25, 95 % CI 1.05–1.48, P = 0.01). In addition, there was a significant association between ICAM5 rs281439 variant and breast cancer risk (GG vs. CC: OR = 1.31, 95 % CI 1.03–1.65, P = 0.03). Our meta-analysis suggests that the ICAM5 V301I and rs281439 variants but not ICAM1 K469E polymorphism may contribute to the susceptibility of breast cancer. Given the limited sample sizes, further investigation is needed.     

Association between two genetic polymorphisms of the renin-angiotensin-aldosterone system and diabetic nephropathy: a meta-analysis

The widely studied candidate genes of the renin-angiotensin-aldosterone system, angiotensinogen (AGT), and angiotensin II receptor type 1 (AGTR1), are implicated in the development of diabetic nephropathy (DN). A number of studies have evaluated the association between the functional polymorphisms, AGT M235T and AGTR1 A1166C, and DN risk with conflicting results. The present meta-analysis was performed to estimate the overall risk of these polymorphisms associated with DN on 4,377 DN cases and 4,905 controls from 34 published case–control studies by searching electronic databases and reference lists of relevant articles. We examined the association between each polymorphism and the risk of DN by odds ratio (OR) with 95% confidence intervals (95% CI) and calculated the ORs for different genetic model. In addition, stratification analysis by ethnicity and diabetes mellitus (DM) type was conducted. In this meta-analysis, we failed to find any significant main effects in both overall analysis and stratified analysis for the AGT M235T. However, the overall analysis detected a significant association between the AGTR1 A1166C and the risk of DN for the CC compared with the AA and dominant genetic model (CC vs. AA: OR = 2.10, 95% CI: 1.00–4.44; dominant model: OR = 2.11, 95% CI: 1.06–4.23). In subgroup analysis, only patients with T2DM showed significant association for CC vs. AA model and dominant model (CC vs. AA: OR = 3.31, 95% CI: 1.21–9.08; dominant model: OR = 3.50, 95% CI: 1.41–8.69). This study suggests that the AGTR1 A1166C polymorphism may contribute to DN development, particularly in T2DM patients.     

NAT2 polymorphisms with oral carcinoma susceptibility: a meta-analysis

Published data have implicated NAT2 polymorphisms as risk factors for various cancers. A number of studies have focused on the association of NAT2 polymorphisms with susceptibility to oral carcinoma and have yielded inconclusive results. The aim of the present study was to derive a more precise estimation of the relationship. We first carried out a deliberate search in the databases without a language limitation, covering all papers published up to Dec 2011. A total of seven case-control studies including 1,379 cases and 1,868 controls were selected and the relevant data were extracted for systematic meta-analyses. No significant association was found for the overall data (OR: 1.04, 95?% CI: 0.79-1.39). In subgroup analyses according to ethnicity, slow acetylators might increase oral cancer risk among Asians (OR: 1.38, 95?% CI: 1.04-1.82) but not Caucasians or Mixed races. The data suggested that NAT2 polymorphisms might be a low-penetrant risk factor for oral carcinoma in Asians.     

Interleukin-1 gene cluster polymorphisms in cerebral infarction

Interleukin-1 (IL-1) has pleiotropic actions in the central nervous system. During the past decade, a growing corpus of evidence has indicated an important role of this cytokine in the development of brain damage following cerebral ischaemia. The expression of IL-1 in the brain is dramatically increased during the early and chronic stage of infarction. The IL-1 gene cluster on chromosome 2ql4 contains three related genes (IL-1alpha, IL-1beta, and IL-1 receptor antagonist, IL-1ra) located within a 430-kb region. Polymorphisms in the genes encoding IL-1alpha, IL-1beta, and IL-1ra have been associated with several inflammatory diseases. Therefore we hypothesized that these cytokines might be good candidates for cerebral infarction (CI). We ascertained these genotypes in 363 CI patients and 640 controls matched for age and gender. A significant increase was found for the IL-1alpha (-889) allele 2 carriers in CI patients compared with controls (chi2 = 5.633, P = 0.018, odds ratio (OR) = 1.5). Furthermore, the IL-1alpha (-889) allele 2 carriers increased the relative risk for CI in the subjects without the IL-1ra allele 2 (chi2 = 7.989, P = 0.005, OR = 1.7). There was no significant association between IL-1beta (+3,953) polymorphism and CI. These results suggest that IL-1alpha-889 and IL-1ra polymorphisms are effective in the development of CI in Koreans.     

No association between XRCC1 genetic polymorphisms and differentiated thyroid carcinoma risk: a meta-analysis

The X-ray repair cross-complementing group 1 (XRCC1) gene belongs to the family of DNA repair genes. Polymorphisms in the XRCC1 gene, Arg399Gln, Arg194Trp and Arg280His, have been reported to have implications in differentiated thyroid carcinoma (DTC) susceptibility, but the results remain conflicting and no meta-analysis has been published. Therefore, we carried out a systematic review of the published epidemiology studies, aiming to assess the relationship between XRCC1 polymorphisms and susceptibility to DTC risk. We selected three databases, PubMed, EMBASE and CNKI, in which to search for published literature. With respect to DTC risk associated with XRCC1, combined odds ratios (ORs) and 95 % confidence intervals (CI) were appropriately calculated on the basis of co-dominant, dominant and recessive models. To investigate different effects from specific race, subgroup analyses were carried out in Asian and Caucasian populations. Eight studies meeting the inclusion criteria were eventually selected for Arg399Gln (1,550 cases and 2,692 controls), five studies for Arg194Trp (858 cases and 1,394 controls) and five studies for Arg280His (1,237 cases and 2,267 controls). The combined results of the relevant studies exhibited that no significant associations with DTC risk were demonstrated for polymorphisms in XRCC1 Arg399Gln, Arg194Trp and Arg280His in all genetic models. Stratified analyses in Asian and Caucasian populations showed similar results. This meta-analysis arrives at a conclusion that the XRCC1 (Arg399Gln, Arg194Trp, Arg280His) polymorphisms appear to confer no risk for DTC.     

Associations of genetic polymorphisms in CTLA-4 and IL-18 with chronic liver diseases: Evidence from a meta-analysis

BackgroundThe aim of this meta-analysis was to explore associations between polymorphisms in CTLA-4/IL-18 and chronic liver diseases by combing the results of all relevant studies.MethodsEligible studies were searched from Pubmed, Embase, Web of Science and Cochrane library. We used Review Manager to combine the results of eligible studies.ResultsSixty-seven studies were included in this meta-analysis. Combined results revealed that CTLA-4 rs231775 (dominant, recessive and allele comparisons), IL-18 rs1946518 (dominant, recessive and allele comparisons) and IL-18 rs187238 (dominant, over-dominant and allele comparisons) polymorphisms were all significantly associated with chronic liver diseases in the overall population. We also obtained similar positive results for rs231775, rs5742909, rs3087243, rs1946518 and rs187238 polymorphisms in subgroup analyses by ethnicity and type of disease.ConclusionsThis meta-analysis demonstrated that CTLA-4 rs231775, CTLA-4 rs5742909, CTLA-4 rs3087243, IL-18 rs1946518 and IL-18 rs187238 polymorphisms may confer susceptibility to certain types of chronic liver diseases.     

Association of deoxyribonuclease I genetic polymorphisms with myocardial infarction in Han Chinese

Deoxyribonuclease I gene exhibits polymorphisms, including a single nucleotide polymorphism (A2317G) and a 56 bp variable number of tandem repeat, designated as HumDN1. G2317 was regarded as an independent risk factor for Japanese myocardial infarction (MI) patients. We investigated the association between either A2317G or HumDN1 polymorphism of deoxyribonuclease I gene and MI in Han Chinese population. A2317G and HumDN1 polymorphisms in 278 MI patients and 297 unrelated controls were detected by PCR and PCR-restriction fragment length polymorphism. Plasma lipids were measured in fasting state by biochemical methods. A new HumDN1 genotype -HumDN1 4/6 was found in Han Chinese MI patients. Genotype distributions and allele frequencies of A2317G and HumDN1 did not differ between MI patients and control group (all P > 0.05). In addition, none of estimated haplotypes significantly increased or decreased the risk of MI. In analysis of covariance, plasma total cholesterol was observed to be associated with HumDN1 genotypes in MI patients (P = 0.02). Our data suggest HumDN1 genotypes are related to total cholesterol levels in Han Chinese MI patients, but deoxyribonuclease I gene polymorphisms are not associated with susceptibility to MI in Han Chinese.     

Association of VEGF gene polymorphisms with advanced retinopathy of prematurity: a meta-analysis

Published data on the association of vascular endothelial growth factor (VEGF) gene polymorphisms with retinopathy of prematurity (ROP) are inconclusive. The aim of the study was to assess the association by using meta-analysis. Data were collected from the following electronic databases: PubMed, Elsevier Science Direct, Excerpta Medica Database, Cochrane Library and China National Knowledge Infrastructure, with the last report up to 30 April, 2012. The odds ratio (OR) and its 95?% confidence interval (95?%CI) were used to assess the strength of the association. Meta-analysis was performed in a fixed/random effect model by using the software Review Manager 4.2. A total of 7 studies based on the search criteria were involved in this meta-analysis. Meta-analysis was performed for four VEGF gene polymorphisms (?634G/C, ?460T/C, ?2578C/A and 936C/T). Significant association was found for ?460T/C polymorphism (C vs T: OR?=?0.74, 95?%CI?=?0.57–0.95, P?=?0.02; TC+CC vs TT: OR?=?0.75, 95?%CI?=?0.47–1.21, P?=?0.24; CC vs TT+TC: OR?=?0.45, 95?%CI?=?0.26–0.76, P?=?0.003; CC vs TT: OR?=?0.45, 95?%CI?=?0.24–0.84, P?=?0.01; TC vs TT: OR?=?0.96, 95?%CI?=?0.59–1.57, P?=?0.87) in the VEGF gene, but not for other polymorphisms (?634G/C, ?2578C/A and 936C/T). This meta-analysis demonstrates that advanced ROP is associated with VEGF gene ?460T/C polymorphism, but not ?634G/C, ?2578C/A and 936C/T.     

Association between HOTAIR genetic polymorphisms and cancer susceptibility: A meta-analysis involving 122,832 subjects

The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer.