Dataset Information

The SNP rs4804611 in ZNF627 gene and the risk of myocardial infarction: a meta-analysis.

ABSTRACT: UNLABELLED:A single nucleotide polymorphism (rs4804611) in zinc finger protein 627 (ZNF627) gene has been demonstrated to be associated with the susceptibility to myocardial infarction (MI), but the results are inconsistent. Therefore, a meta-analysis of eligible studies reporting the association between rs4804611 and MI was carried out to enhance the reliability of published results. A systematic literature search was performed using PubMed, Web of Science, Cochrane Library to search English articles concerning the relation between rs4804611 and MI up to January, 2015. Summary odds ratios (OR) and 95% confidence interval (CI) were used to evaluate the risk of MI. The heterogeneity and publication bias of this study were also evaluated. Five eligible studies involving 11639 subjects (6299 patients and 5340 healthy controls) were included in this meta-analysis. Overall, the results indicated that rs4804611 polymorphism was associated with the risk of MI (GG vs. AA/AG:OR = 0.833, 95% CI = 0.704-0.985, P = 0.033). Furthermore, subgroup analyses also showed that rs4804611 polymorphism was associated with the risk of MI in Caucasian (GG vs. AA/AG:OR = 0.839, 95% CI = 0.704-0.999, P = 0.048). In conclusion, our meta-analysis suggests that the rs4804611 polymorphism in ZNF627 gene is associated with the risk of MI. However, further large scale case-control studies with rigorous design should be conducted to confirm the conclusion in the future.

SUBMITTER: Wu N

PROVIDER: S-EPMC4483869 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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The SNP rs4804611 in ZNF627 gene and the risk of myocardial infarction: a meta-analysis.

Wu Nan N Zhang Xiaowen X Jia Pengyu P Jia Dalin D

International journal of clinical and experimental medicine 20150415 4

A single nucleotide polymorphism (rs4804611) in zinc finger protein 627 (ZNF627) gene has been demonstrated to be associated with the susceptibility to myocardial infarction (MI), but the results are inconsistent. Therefore, a meta-analysis of eligible studies reporting the association between rs4804611 and MI was carried out to enhance the reliability of published results. A systematic literature search was performed using PubMed, Web of Science, Cochrane Library to search English articles conc ...[more]

PMID: 26131132

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Project description:BACKGROUND:The effect of antipsychotic (AP) drugs on risk of stroke and myocardial infarction (MI) remains unclear due to methodological limitations of, and inconsistencies across, existing studies. We aimed to systematically review studies reporting on the associations between AP drug use and stroke or MI risk, and to investigate whether associations differed among different sub-populations. METHODS:We searched Medline, EMBASE, PsychINFO and Cochrane Library (from inception to May 28, 2017) for observational studies reporting on AP drug use and MI or stroke occurrence. We performed random-effects meta-analyses for each outcome, performing sub-groups analyses by study population - specifically general population (i.e. those not restricted to patients with a particular indication for AP drug use), people with dementia only and psychiatric illness only. Where feasible we performed subgroup analyses by AP drug class. RESULTS:From 7008 articles, we included 29 relevant observational studies, 19 on stroke and 10 on MI. Results of cohort studies that included a general population indicated a more than two-fold increased risk of stroke, albeit with substantial heterogeneity (pooled HR 2.31, 95% CI 1.13, 4.74, I2 = 83.2%). However, the risk among patients with dementia was much lower, with no heterogeneity (pooled HR 1.16, 95% CI 1.00, 1.33, I2 = 0%) and there was no clear association among studies of psychiatric populations (pooled HR 1.44, 95% CI 0.90, 2.30; substantial heterogeneity [I2 = 78.8])). Associations generally persisted when stratifying by AP class, but few studies reported on first generation AP drugs. We found no association between AP drug use and MI risk (pooled HR for cohort studies: 1.29, 95% CI 0.88, 1.90 and case-control studies: 1.07, 95% CI 0.94, 1.23), but substantial methodological and statistical heterogeneity among a relatively small number of studies limits firm conclusions. CONCLUSIONS:AP drug use may be associated with an increased risk of stroke, but there is no clear evidence that this risk is further elevated in patients with dementia. Further studies are need to clarify the effect of AP drug use on MI and stroke risk in different sub-populations and should control for confounding by indication and stratify by AP drug class.

Project description:BACKGROUND:Myocardial infarction (MI) is a multifactorial disease with complex pathogenesis, mainly the result of the interplay of genetic and environmental risk factors. The regulation of thrombosis, inflammation and cholesterol and lipid metabolism are the main factors that have been proposed thus far to be involved in the pathogenesis of MI. Traditional risk-estimation tools depend largely on conventional risk factors but there is a need for identification of novel biochemical and genetic markers. The aim of the study is to identify differentially expressed genes that are consistently associated with the incidence myocardial infarction (MI), which could be potentially incorporated into the traditional cardiovascular diseases risk factors models. METHODS:The biomedical literature and gene expression databases, PubMed and GEO, respectively, were searched following the PRISMA guidelines. The key inclusion criteria were gene expression data derived from case-control studies on MI patients from blood samples. Gene expression datasets regarding the effect of medicinal drugs on MI were excluded. The t-test was applied to gene expression data from case-control studies in MI patients. RESULTS:A total of 162 articles and 174 gene expression datasets were retrieved. Of those a total of 4 gene expression datasets met the inclusion criteria, which contained data on 31,180 loci in 93 MI patients and 89 healthy individuals. Collectively, 626 differentially expressed genes were detected in MI patients as compared to non-affected individuals at an FDR q-value?=?0.01. Of those, 88 genes/gene products were interconnected in an interaction network. Totally, 15 genes were identified as hubs of the network. CONCLUSIONS:Functional enrichment analyses revealed that the DEGs and that they are mainly involved in inflammatory/wound healing, RNA processing/transport mechanisms and a yet not fully characterized pathway implicated in RNA transport and nuclear pore proteins. The overlap between the DEGs identified in this study and the genes identified through genetic-association studies is minimal. These data could be useful in future studies on the molecular mechanisms of MI as well as diagnostic and prognostic markers.

Dataset Information

The SNP rs4804611 in ZNF627 gene and the risk of myocardial infarction: a meta-analysis.

Publications

The SNP rs4804611 in ZNF627 gene and the risk of myocardial infarction: a meta-analysis.

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