Rs10757274 gene polymorphisms in coronary artery disease: A systematic review and a meta-analysis.
Medicine (Baltimore)
; 99(3): e18841, 2020 Jan.
Article
em En
| MEDLINE
| ID: mdl-32011499
ABSTRACT
BACKGROUND:
It has been reported the rs10757274 SNP (present on locus 9p21 in the gene for CDKN2BAS1) might be associated with susceptibility to coronary artery disease (CAD). Owing to mixed and inconclusive results, we conducted a meta-analysis to investigate the association between rs10757274 polymorphism and the risk of CAD.OBJECTIVES:
The present study aimed to investigate the relationship between rs10757274 polymorphism and the risk of CAD.METHODS:
All studies of the rs10757274 SNP with CAD that were published between 2007 and 2018 were retrieved from the PubMed database. Meta-analysis was performed with Stata 14.0 software. The effect size of the rs10757274 SNP with CAD risk was assessed based on the odds ratios (ORs) with calculation of 95% confidence interval (CI).RESULTS:
Eleven studies including 52,209 subjects (cases 7990, controls 44,219) were included in the final data combination. Pooled overall analyses showed that rs10757274 (allele model Pâ<â.001; dominant model Pâ<â.001; recessive model Pâ<â.001; Heterozygote codominant Pâ=â.002; Homozygote codominant Pâ<â.001) polymorphisms were significantly associated with the likelihood of CAD. Significant heterogeneity between individual studies appears in all 5 models. Further subgroup analyses revealed that rs10757274 polymorphisms were all significantly correlated with the likelihood of CAD and no heterogeneity were observed in West Asians.CONCLUSIONS:
Our findings indicated that rs10757274 polymorphisms may serve as genetic biomarkers of CAD, especially in West Asians.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença da Artéria Coronariana
/
Polimorfismo de Nucleotídeo Único
/
RNA Longo não Codificante
Tipo de estudo:
Prognostic_studies
/
Systematic_reviews
Limite:
Humans
Idioma:
En
Revista:
Medicine (Baltimore)
Ano de publicação:
2020
Tipo de documento:
Article