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The Association between Five Genetic Variants in MicroRNAs (rs2910164, rs11614913, rs3746444, rs11134527, and rs531564) and Cervical Cancer Risk: A Meta-Analysis.
- Source :
-
BioMed Research International . 3/16/2021, p1-13. 13p. - Publication Year :
- 2021
-
Abstract
- The objective of this study was to conduct a meta-analysis to systematically summarize and investigate the association of miRNA-124 rs531564, miRNA-218 rs11134527, miRNA-146a rs2910164, miRNA-196a2 rs11614913, and miRNA-499 rs3746444 polymorphisms with cervical cancer. A systematic review was performed to identify relevant studies using Embase and PubMed databases. A chi-square-based Q -test combined with the inconsistency index ( I 2 ) was used to check the heterogeneity between studies. A total of six case-control studies on rs2910164 and rs11614913, 4 studies on rs3746444 and rs11134527, and three studies on rs531564 were included. No evidence of association was found between miR-146a rs2910164, miR-196a2 rs11614913, miRNA-499 rs3746444, and miR-218 rs11134527 polymorphisms and cervical cancer risk in all the genetic models. The miR-124 rs531564 polymorphism was associated with a statistically increased risk of cervical cancer in a homozygote model (CC vs. GG: OR = 2.87 , 95% CI: 1.40-5.91, P H = 0.887), dominant model (GC/CC vs. GG: OR = 1.38 , 95% CI: 1.07-1.80, P H = 0.409), and recessive model (CC vs. GC/GG: OR = 2.26 , 95% CI: 1.58-3.23, P H = 0.979). However, this finding should be interpreted with caution for limited samples and heterogeneity. Large-scale and well-designed studies are needed to validate our result. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ONLINE information services
*GENETICS
*META-analysis
*MEDICAL information storage & retrieval systems
*CONFIDENCE intervals
*SYSTEMATIC reviews
*MICRORNA
*GENETIC polymorphisms
*RISK assessment
*CHI-squared test
*DESCRIPTIVE statistics
*MEDLINE
*ODDS ratio
*DISEASE risk factors
CERVIX uteri tumors
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 149314942
- Full Text :
- https://doi.org/10.1155/2021/9180874