Literature DB >> 30932691

Association Between the CYP4F2 Gene rs1558139 and rs2108622 Polymorphisms and Hypertension: A Meta-Analysis.

Huixia Geng1, Bo Li1, Yanmei Wang1, Lai Wang1.   

Abstract

Objective: To investigate the association between the CYP4F2 gene rs1558139 and rs2108622 polymorphisms and hypertension. Materials and
Methods: In this meta-analysis, we searched databases for case-control studies published before May 2018 examining the associations between two polymorphic sites of the CYP4F2 gene (rs1558139 and rs2108622) and hypertension. The fixed or random effects model chosen was selected according to the heterogeneity of the studies to calculate the pooled odds ratios (OR) and corresponding 95% confidence intervals (95% CI).
Results: Six articles in total were analyzed in this study; three investigated the rs1558139 polymorphism and six investigated the rs2108622 polymorphism. The pooled OR and 95% CI using the dominant model for rs1558139, and both the homozygous model and the recessive model of rs2108622 were statistically significant giving values of 0.83 (0.71-0.96), 0.83 (0.71-0.98), and 1.24 (1.07-1.44), respectively. The pooled OR and 95% CI of the rs1558139 polymorphism in the subgroup analysis based on gender were 1.25 (1.08-1.45) and 0.98 (0.85-1.13), whereas the results for the rs2108622 polymorphism were 1.03 (0.86-1.24) and 0.91 (0.72-1.14).
Conclusion: Our meta-analysis demonstrates that the rs1558139 and rs2108622 single nucleotide polymorphisms of the CYP4F2 gene are associated with hypertension, with a particularly strong link between the rs1558139 polymorphism in males.

Entities:  

Keywords:  hypertension; meta-analysis; polymorphism

Mesh:

Substances:

Year:  2019        PMID: 30932691     DOI: 10.1089/gtmb.2018.0202

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  1 in total

1.  Association of genetic variants at CETP, AGER, and CYP4F2 locus with the risk of atrophic age-related macular degeneration.

Authors:  Rasa Liutkeviciene; Alvita Vilkeviciute; Loresa Kriauciuniene; Mantas Banevicius; Brigita Budiene; Daiva Stanislovaitiene; Reda Zemaitiene; Vytenis P Deltuva
Journal:  Mol Genet Genomic Med       Date:  2020-07-14       Impact factor: 2.183

  1 in total

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