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Published on: June 21, 2018
Association between miR-146a rs2910164 polymorphism and autoimmune diseases susceptibility: a meta-analysis
Hui Fang Chen1, Ting Ting Hu, Xue Yan Zheng
1Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China.
Abstract:
Published data on the rs2910164 in microRNA-146a (miR-146a) are shown to be associated with increased or decreased autoimmune diseases risk. To derive a more precise estimation of the relationship, we performed a meta-analysis to systematically summarize the possible. A meta-analysis including 11 studies with 3042 controls and 2197 cases was performed for genotypes CC (recessive effect), CC+CG (dominant effect) and C allele in fixed or random-effects models based on between-study heterogeneity. Overall, no significant association between miR-146a G/C rs2910164 polymorphism and autoimmune diseases risk was found in all genetic models when all studies were pooled into the meta-analysis. SLE (OR=0.99, 95% CI: 0.90-1.10), RA (OR=0.98, 95% CI: 0.85-1.14) did not yield statistical significance as for C allele pooled studies. In the subgroup analysis by ethnicity, still no significant association was detected in all genetic models. Our meta-analysis suggests that there is no association between miR-146a G/C rs2910164 polymorphism and the development of autoimmune diseases.
Insights
This meta-analysis found no significant link between the microRNA-146a G/C rs2910164 polymorphism and the risk of developing autoimmune diseases. The study systematically reviewed 11 studies to assess this genetic association.
Area of Science:
- Genetics
- Immunology
- Molecular Biology
Background:
- Published data suggest a potential association between the microRNA-146a (miR-146a) G/C rs2910164 polymorphism and autoimmune disease risk.
- Existing studies show conflicting results regarding the influence of this polymorphism on disease susceptibility.
Purpose of the Study:
- To conduct a comprehensive meta-analysis to precisely evaluate the association between the miR-146a G/C rs2910164 polymorphism and the risk of autoimmune diseases.
- To systematically summarize and synthesize findings from available studies to clarify the genetic contribution of this polymorphism.
Main Methods:
- A meta-analysis was performed, pooling data from 11 independent studies.
- Included were 2197 cases and 3042 controls, analyzing genotypes CC (recessive), CC+CG (dominant), and the C allele.
- Fixed or random-effects models were employed based on assessed between-study heterogeneity.
Main Results:
- The overall meta-analysis revealed no statistically significant association between the miR-146a G/C rs2910164 polymorphism and autoimmune disease risk across all genetic models.
- Subgroup analyses by ethnicity also failed to detect any significant associations.
- Specific conditions like Systemic Lupus Erythematosus (SLE) and Rheumatoid Arthritis (RA) did not show a significant link with the C allele.
Conclusions:
- The meta-analysis concludes that the miR-146a G/C rs2910164 polymorphism is not associated with an increased or decreased risk of developing autoimmune diseases.
- This finding suggests that this specific genetic variant may not play a significant role in the pathogenesis of autoimmune conditions.
- Further research may be warranted to explore other genetic or environmental factors contributing to autoimmune disease development.
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