Evidence map›Paper›PMID 25830862›Full record

SynthesisPloS one2015

Meta-analysis of microRNA-146a rs2910164 G>C polymorphism association with autoimmune diseases susceptibility, an update based on 24 studies.

Changzheng Li, Weijun Fu, Yu Zhang, Liang Zhou, Zhi Mao, Weiran Lv, Juan Li, Ye Zhou

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  5. MicroRNAs in Macrophages: Regulators of Activation and Function.Journal of immunology (Baltimore, Md. : 1950) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Changzheng LiNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China; School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Weijun FuNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yu ZhangDepartment of Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Liang ZhouDepartment of Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Zhi MaoDepartment of Intensive Care Unit, Chinese PLA General Hospital, Beijing, China.
Weiran LvNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Juan LiNanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China; School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Ye ZhouSchool of Biotechnology, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublished 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.

methodsWe 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.

resultsA 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.

conclusionsMiR-146a rs2910164 G>C polymorphism was associated with the susceptibility of ADs.

Indexed as

Autoimmune DiseasesCase-Control StudiesGenetic Association StudiesGenetic Predisposition to DiseaseHumansMicroRNAsPolymorphism, Single NucleotideRisk FactorsMicroRNAsMIRN146 microRNA, human

Identifiers

PMID25830862
PMCPMC4382023

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.