Polymorphisms of MTHFR, eNOS, ACE, AGT, ApoE, PON1, PDE4D, and Ischemic Stroke: Meta-Analysis
Loo Keat Wei1, Anthony Au2, Saras Menon3
1Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Bandar Barat, Kampar, Perak, Malaysia.
Introduction:
The association between ischemic stroke and genetic polymorphisms of methylenetetrahydrofolate reductase (MTHFR; 677C>T and 1298A>C), endothelial nitric oxide synthase (eNOS; -786T>C, +894G>T, and variable number tandem repeat [VNTR]), phosphodiesterase 4D (PDE4D; SNPs 83 and 87), angiotensin-converting enzyme (ACE) I/D, angiotensinogen (AGT) 235M>T, paraoxonase 1 (PON1) 192Q>R, and apolipoprotein E (ApoE) ε2ε3ε4 remains inconclusive. Therefore, this updated meta-analysis aimed to clarify the presumed influence of genetic polymorphisms on ischemic stroke by meta-analyzing the comprehensive coverage of all individual association studies.
Methods:
All case-control studies published in different languages such as English, Japanese, Korean, Spanish, Chinese, Hungarian, Ukrainian, or Russian were identified from databases. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated via fixed- and random-effect models. Sensitivity analysis, heterogeneity test, Hardy Weinberg Equilibrium, and Egger's regression analyses were performed in this study.
Results:
A total of 490 case-control studies with 138,592 cases and 159,314 controls were included in this meta-analysis. Pooled ORs from all the genetic models indicated that MTHFR 677TT and 1298CC, eNOS +894TT and VNTR, PDE4D SNP 83, ACE DD, AGT 235TT, PON1 192RR, and ApoE ε4 polymorphisms were increasing the risks of ischemic stroke. Nevertheless, PDE4D SNP 87 and eNOS -786T>C polymorphisms are not associated with ischemic stroke risks.
Conclusions:
Hence, the evidence from this meta-analysis concluded that MTHFR (677C>T and 1298A>C), eNOS (+894G>T and VNTR), PDE4D SNP 83, ACE I/D, AGT 235M>T, PON1 192Q>R, and ApoE ε2ε3ε4 polymorphisms predispose individuals to ischemic stroke.
Insights
Genetic polymorphisms in MTHFR, eNOS, PDE4D, ACE, AGT, PON1, and ApoE are linked to increased ischemic stroke risk. This meta-analysis clarifies the genetic predisposition to ischemic stroke for these key genes.
Area of Science:
- Genetics
- Cardiovascular Disease Epidemiology
- Molecular Biology
Background:
- The relationship between specific genetic variations and ischemic stroke risk is not fully understood.
- Genetic polymorphisms in key genes like MTHFR, eNOS, PDE4D, ACE, AGT, PON1, and ApoE have been investigated for their potential role in ischemic stroke.
- Previous studies have yielded inconclusive results, necessitating a comprehensive meta-analysis.
Purpose of the Study:
- To conduct an updated meta-analysis to clarify the association between various genetic polymorphisms and ischemic stroke.
- To pool data from numerous case-control studies to determine the influence of genetic factors on ischemic stroke risk.
- To provide a clearer understanding of genetic predispositions to ischemic stroke.
Main Methods:
- Systematic identification of case-control studies across multiple languages.
- Calculation of pooled odds ratios (ORs) and 95% confidence intervals (CIs) using fixed- and random-effect models.
- Performance of sensitivity analysis, heterogeneity testing, Hardy Weinberg Equilibrium checks, and Egger's regression analysis.
Main Results:
- Analysis of 490 studies involving 138,592 cases and 159,314 controls.
- Significant associations found between MTHFR (677TT, 1298CC), eNOS (+894TT, VNTR), PDE4D (SNP 83), ACE (DD), AGT (235TT), PON1 (192RR), and ApoE (ε4) polymorphisms and increased ischemic stroke risk.
- No association was found between PDE4D (SNP 87) and eNOS (-786T>C) polymorphisms and ischemic stroke risk.
Conclusions:
- Genetic polymorphisms in MTHFR, eNOS, PDE4D (SNP 83), ACE, AGT, PON1, and ApoE are confirmed to predispose individuals to ischemic stroke.
- The findings provide robust evidence for the role of these specific genetic variations in ischemic stroke pathogenesis.
- This meta-analysis offers valuable insights for understanding genetic risk factors in ischemic stroke.
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