Evidence map›Paper›PMID 31341856›Full record

ArticleIranian journal of public health2019

Single Nucleotide Polymorphisms of FCRL3 in Iranian Patients with Behcet's Disease.

Farhad Shahram, Javad Kazemi, Mahmoud Mahmoudi, Zohreh Jadali

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2019. 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
0.8field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Impacts of rs7528684 (-169T/C) onFrontiers in genetics · 2025
    Article
  2. Review
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

4 authors at 2 institutions in 1 country.

Farhad ShahramRheumatology Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Javad KazemiDepartment of Clinical Genetics, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Mahmoud MahmoudiDepartment of Biostatics and Epidemiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Zohreh JadaliDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRNational Institute of Genetic Engineering and Biotechnology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth genetic and environmental factors influence, susceptibility to autoimmune disorders including Behcet's disease (BD). FCRL3 (Fc receptor like 3 genes), a novel immunoregulatory gene, has recently been reported as a new promising candidate gene for general autoimmunity. This study was conducted to explore the potential association of FCRL3 polymorphisms with BD.

methodsThis study was conducted from 2010 to 2015 in Tehran University of Medical Sciences, Tehran, Iran. Four single-nucleotide polymorphisms of FCRL3 (rs7528684, rs11264799, rs945635, and rs3761959) were genotyped in 220 patients and 220 healthy controls. Typing of the polymorphisms in this case-control study was carried out using polymerase chain reaction-restriction fragment length polymorphism analysis.

resultsAnalysis of the alleles revealed a significantly lower frequency of the A allele at the -169 site (rs7528684) in BD patients compared with that in controls (

conclusionThis study revealed a significant difference in both allele and genotype frequency at position -169 of FCRL3 gene between Iranian patients with BD and normal subjects. These data suggest FCRL3 gene polymorphisms might be the autoimmunity risk factor for BD.

Indexed as

AutoimmunityBehcet diseaseFc receptor like 3 (FCRL3)Polymorphism

Identifiers

PMID31341856
PMCPMC6635340
OpenAlexW2954407008

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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.