Evidence map›Paper›PMID 24376542›Full record

ArticlePloS one2013

HLA-G UTR haplotype conservation in the Malian population: association with soluble HLA-G.

Federico Carlini, Karim Traore, Nissem Cherouat, Pierre Roubertoux, Stéphane Buhler, Martì Cortey, Sophie Simon, Ogobara Doumbo, Jacques Chiaroni, Christophe Picard and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  4. Frontiers in immunology · 2022
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  9. Frontiers in immunology · 2018
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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

11 authors at 5 institutions in 3 countries.

Federico CarliniAix-Marseille Université, CNRS, EFS, ADES UMR 7268, Marseille, France.
Karim TraoreMalaria Research and Training Center, Department of Epidemiology of Parasitic Diseases, Faculty of Medicine, Pharmacy and Dentistry, Bamako, Mali.
Nissem CherouatImmuno-genetics laboratory, Etablissement Français du Sang Alpes Méditerranée, Marseille, France.
Pierre RoubertouxInserm U491, Génétique Médicale et Développement, Aix-Marseille Université, Faculté de Médecine, Marseille, France.
Stéphane BuhlerLaboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
Martì CorteyAix-Marseille Université, CNRS, EFS, ADES UMR 7268, Marseille, France.
Sophie SimonImmuno-genetics laboratory, Etablissement Français du Sang Alpes Méditerranée, Marseille, France.
Ogobara DoumboMalaria Research and Training Center, Department of Epidemiology of Parasitic Diseases, Faculty of Medicine, Pharmacy and Dentistry, Bamako, Mali.
Jacques ChiaroniAix-Marseille Université, CNRS, EFS, ADES UMR 7268, Marseille, France.
Christophe PicardAix-Marseille Université, CNRS, EFS, ADES UMR 7268, Marseille, France ; Immuno-genetics laboratory, Etablissement Français du Sang Alpes Méditerranée, Marseille, France.
Julie Di CristofaroAix-Marseille Université, CNRS, EFS, ADES UMR 7268, Marseille, France.
Aix-Marseille Université · FRÉtablissement Français du Sang · FRCentre National de la Recherche Scientifique · FRUniversity of Bamako · MLUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HLA-G molecule plays an important role in immunomodulation. In a previous study carried out on a southern French population our team showed that HLA-G haplotypes, defined by SNPs in the coding region and specific SNPs located in 5'URR and 3'UTR regulatory regions, are associated with differential soluble HLA-G expression (sHLA-G). Furthermore, the structure of these HLA-G haplotypes appears to be conserved in geographically distant populations. The aim of our study is to confirm these expectations in a sub-Saharan African population and to explore additional factors, such as HLA-A alleles, that might influence sHLA-G expression. DNA and plasma samples were collected from 229 Malians; HLA-G and HLA-A genotyping were respectively performed by the Snap Shot® method and by Luminex™ technology. sHLA-G dosage was performed using an ELISA kit. HLA-G and HLA-A allelic and haplotypic frequencies were estimated using an EM algorithm from the Gene[Rate] program. Associations between genetic and non genetic parameters with sHLA-G were performed using a non-parametric test with GRAPH PAD Prism 5. Our results reveal a good conservation of the HLA-G UTR haplotype structure in populations with different origins and demographic histories. These UTR haplotypes appear to be involved in different sHLA-G expression patterns. Specifically, the UTR-2 haplotype was associated with low sHLA-G levels, displaying a dominant negative effect. Furthermore, an allelic effect of both HLA-G and HLA-A, as well as non genetic parameters, such as age and gender possibly linked to osteogenesis and sexual hormones, also seem to be involved in the modulation of sHLA-G. These data suggest that further investigation in larger cohorts and in populations from various ethnical backgrounds is necessary not only to detect new functional polymorphism in HLA-G regulatory regions, but also to reveal the extent of biological phenomena that influence sHLA-G secretion and this might therefore have an impact on transplantation practice.

Indexed as

3' Untranslated RegionsAdolescentAdultAgedAged, 80 and overAllelesChildChild, PreschoolConserved SequenceFemaleGene FrequencyGenetic LociHaplotypesHLA-A AntigensHLA-G AntigensHumans3' Untranslated RegionsHLA-A AntigensHLA-G Antigens

Identifiers

PMID24376542
PMCPMC3871591
OpenAlexW2015309791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.