Evidence map›Paper›PMID 27331013›Full record

ArticleMeta gene2016

Association of EVI5 rs11808092, CD58 rs2300747, and CIITA rs3087456 polymorphisms with multiple sclerosis risk: A meta-analysis.

Jiahe Liu, Xu Liu, Yong Liu, Shimin Deng, Hongbin Huang, Qicong Chen, Weidong Liu, Zunnan Huang

Abstract read
In one paragraph

Article in Meta gene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
  2. Association ofAuto- immunity highlights · 2019
    Article
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.

Jiahe LiuKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Xu LiuKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Yong LiuKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong 523808, China; Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, Zhanjiang, Guangdong 524023, China.
Shimin DengKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Hongbin HuangKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Qicong ChenSchool of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China.
Weidong LiuKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Zunnan HuangKey Laboratory for Medical Molecular Diagnostics of Guangdong Province, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China; School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong 523808, China; Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, Zhanjiang, Guangdong 524023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple sclerosis (MS) is a major demyelinating disease of the central nervous system with a strong genetic component. Previous studies have reported that the association of EVI5 rs11808092, CD58 rs2300747, and CIITA rs3087456 polymorphisms with the susceptibility to MS. However, the results were inconsistent. Thus, we conducted this meta-analysis to provide a more accurate estimation of the association between any of these polymorphisms and MS risk.

methodsThe PubMed, Embase, Chinese National Knowledge Infrastructure, Wan Fang databases and MSGene were used to search all potentially relevant studies. The odds ratio (OR) with 95% confidence interval (CI) was used to investigate the associations between these three polymorphisms and MS risk.

results16 independent case-control studies from 12 publications were finally included into this meta-analysis. The results showed that EVI5 rs11808092 polymorphism was related with increasing the development of MS under five genetic models (allelic: OR = 1.17, 95% CI = 1.10-1.24, P < 0.01; homozygous: OR = 1.37, 95% CI = 1.18-1.59, P < 0.01; heterozygous: OR = 1.16, 95% CI = 1.07-1.26, P < 0.01; recessive: OR = 1.28, 95% CI = 1.11-1.48, P < 0.01; and dominant: OR = 1.19, 95% CI = 1.11-1.48, P < 0.01). CD58 rs2300747 polymorphism was found to be associated with decreasing MS risk in three genetic models (allelic: OR = 0.86, 95% CI = 0.78-0.94, P < 0.01; heterozygous: OR = 0.85, 95% CI = 0.76-0.94, P < 0.01, and dominant: OR = 0.84, 95% CI = 0.76-0.93, P < 0.01). However, this meta-analysis indicated that CIITA rs3087456 polymorphism was not related to multiple sclerosis.

conclusionsThe mutant alleles of EVI5 rs11808092 polymorphism may increase the susceptibility to MS while those of CD58 rs2300747 polymorphism may decrease MS risk. In addition, CIITA rs3087456 polymorphism might not be associated with MS.

Indexed as

CD58 rs2300747CIITA rs3087456EVI5 rs11808092Meta-analysisMultiple sclerosisPolymorphisms

Identifiers

PMID27331013
PMCPMC4908284

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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.