Meta-analysis of microRNA-146a rs2910164 G>C polymorphism association with autoimmune diseases susceptibility, an

Changzheng Li1, Weijun Fu2, Yu Zhang3

  • 1Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China; School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China.

Plos One
|April 2, 2015
PubMed
Abstract

Insights

The microRNA-146a (miR-146a) rs2910164 G>C polymorphism is linked to autoimmune disease susceptibility. This meta-analysis clarifies the association, incorporating more studies than previous research.

Area of Science:

  • Genetics
  • Immunology
  • Molecular Biology

Background:

  • The microRNA-146a (miR-146a) rs2910164 polymorphism has been implicated in autoimmune disease (AD) susceptibility.
  • Previous meta-analyses yielded conflicting results, necessitating further investigation.
  • This study aims to provide a more precise estimation of the association between miR-146a rs2910164 and AD susceptibility.

Purpose of the Study:

  • To conduct a comprehensive meta-analysis to clarify the association between the miR-146a rs2910164 polymorphism and autoimmune disease susceptibility.
  • To resolve controversies arising from previous conflicting meta-analyses.

Main Methods:

  • A systematic literature search was performed in PubMed, OvidSP, and CNKI databases up to September 8th, 2014.
  • Data from 24 case-control studies were extracted and analyzed using Stata 12.0.
  • Random or fixed effect models were employed based on heterogeneity assessment.

Main Results:

  • The meta-analysis included 24 case-control studies, exceeding previous efforts.
  • In Caucasians, the GC genotype and GC+CC genotype showed increased AD susceptibility in heterozygote and dominant models, respectively.
  • In other disease subgroups, the C allele, CC genotype, and GC+CC genotype were associated with increased risks in allele, homozygote, and dominant models.

Conclusions:

  • The miR-146a rs2910164 G>C polymorphism is significantly associated with autoimmune disease susceptibility.
  • Stratified analyses by ethnicity and disease type provide further insights into this genetic association.

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