Evidence map›Paper›PMID 29845028›Full record

ArticleIranian journal of public health2018

NF-κB1 Rs28362491 Mutant Allele Frequencies along the Silk Road and Beyond.

Safoora Pordel, Kazem Nemati, Mohammad Hossein Karimi, Mehrnoosh Doroudchi

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In one paragraph

Article in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Trial
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.

Safoora PordelDept. of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Kazem NematiDept. of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad Hossein KarimiShiraz Blood Transfusion Center, Shiraz, Iran.
Mehrnoosh DoroudchiDept. of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Shiraz University of Medical Sciences · IRShiraz University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the human evolutionary history, Single Nucleotide Polymorphism (SNP) frequencies are valuable in terms of finding connections between different populations. Due to the pronounced role of the immune system in combating pathogens and environmental stressors, polymorphisms in the immune genes are subject to selection pressure of the diseases as well. The functional polymorphisms in NF-κB1 promoter (-94 ins/del) are associated with different diseases; therefore, we aimed to establish the frequencies of NF-κB1 rs28362491 alleles in a population of Southwestern Iranians in comparison with the world populations.

methodsWe assessed the polymorphism of -94 ATTG ins/del (rs28362491) in 201 Iranian healthy blood donors from Fars Province, central Iran in a one year period between 2015 and 2016 by PCR-RFLP method using DNA extracted from peripheral blood mononuclear cells.

resultsThe frequency of ins/ins homozygote genotype was found to be 46.97%. The frequency of heterozygote individuals was 42.42% and the percentage of del/del homozygote genotype was 10.61%. We observed a genetic similarity based on the genotype frequencies of NF-κB1 -94 ins/del ATTG polymorphism between our sample of Iranians with American Jewish, Turkish, American non-Jewish, Chinese-Uyghurs and Germans.

conclusionThe results confirmed genetic interrelation of Iranians with some ancient neighbors and their admixture with countries along the Silk Road. We suggest that mapping the distribution of NF-κB1-94 ATTG ins/del along with HLA genes may help to better define the relations between human populations and design population-specific vaccines for pathogens with a high rate of variation.

Indexed as

IranNF-κB1Normal populationPCR–RFLPPolymorphism

Identifiers

PMID29845028
PMCPMC5971177
OpenAlexW2794073067

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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.