Document Type
Article
Original Publication Date
2015
Journal/Book/Conference Title
PLoS ONE
Volume
10
Issue
4
DOI of Original Publication
10.1371/journal.pone.0121918
Date of Submission
November 2015
Abstract
Background
Published data showed that the susceptibility of autoimmune diseases (ADs) was associated with the polymorphism rs2910164 in microRNA-146a (miR-146a). However, the results remain controversial so far. Two meta-analyses published in 2013 and 2014 came to opposite conclusions. In order to derive a more precise estimation of the relationship, we performed this meta-analysis.
Methods
We searched the PubMed, OvidSP and CNKI databases (published prior to September 8th, 2014) and extracted data from eligible studies. The procedure of meta-analysis was performed by using the Stata 12.0 software. Random effect model or fixed effect model were chosen respectively, according to the between study heterogeneities.
Results
A total of 24 case-control studies, 11 more than previous meta-analysis on this topic, were involved. We took stratified analyses by different ethnicities and different types of diseases in different genetic models. In Caucasian subgroup, significant increased risks of GC genotype and GC+CC genotype with ADs susceptibility were found in heterozygote model (GC vs GG, OR = 1.38, 95% CI 1.04–1.83, p = 0.024) and dominant model (GC+CC vs GG, OR = 1.37, 95% CI 1.01–1.85, p = 0.041), respectively. Meanwhile, in other disease subgroup, significant increased risks of C allele, CC genotype and GC+CC genotype were found in allele model (C vs G, OR = 1.16, 95% CI 1.04–1.31, p = 0.010), homozygote model (CC vs GG, OR = 1.42, 95% CI 1.10–1.84, p = 0.006) and dominant model (GC+CC vs GG, OR = 1.25, 95% CI 1.04–1.51, p = 0.020), respectively.
Conclusions
MiR-146a rs2910164 G>C polymorphism was associated with the susceptibility of ADs.
Rights
Li, C., Fu, W., & Zhang, Y., et al. Meta-Analysis of MicroRNA-146a rs2910164 G>C Polymorphism Association with Autoimmune Diseases Susceptibility, an Update Based on 24 Studies. PLoS ONE, 10, e0121918. Copyright © 2015 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Is Part Of
VCU Internal Medicine Publications
PRISMA 2009 Checklist.
S1_Table.docx (17 kB)
Scale for methodological quality assessment.
S2_Checklist.docx (22 kB)
Meta-analysis on Genetic Association Studies Checklist.
Comments
Originally published at http://dx.doi.org/10.1371/journal.pone.0121918