Evidence map›Paper›PMID 29160618›Full record

ArticleHLA2018

Deciphering the fine nucleotide diversity of full HLA class I and class II genes in a well-documented population from sub-Saharan Africa.

T Goeury, L E Creary, L Brunet, M Galan, M Pasquier, B Kervaire, A Langaney, J-M Tiercy, M A Fernández-Viña, J M Nunes and 1 more

Open access · hybridAbstract read
In one paragraph

Article in HLA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  6. Digital Image Processing to Detect Adaptive Evolution.Molecular biology and evolution · 2024
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  7. A paradoxical population structure ofbioRxiv : the preprint server for biology · 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

11 authors at 3 institutions in 3 countries.

T GoeuryLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
L E CrearyDepartment of Pathology, Stanford University School of Medicine, Palo Alto, California.
L BrunetLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
M GalanINRA, UMR 1062 CBGP, avenue du Campus Agropolis, Montferrier sur Lez, France.
M PasquierLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
B KervaireLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
A LanganeyLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
J-M TiercyInstitute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland.
M A Fernández-ViñaDepartment of Pathology, Stanford University School of Medicine, Palo Alto, California.
J M NunesLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.
A Sanchez-MazasLaboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-7714-2432
University of Geneva · CHStanford University · USAgropolis International · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the aim to understand how next-generation sequencing (NGS) improves both our assessment of genetic variation within populations and our knowledge on HLA molecular evolution, we sequenced and analysed 8 HLA loci in a well-documented population from sub-Saharan Africa (Mandenka). The results of full-gene NGS-MiSeq sequencing compared with those obtained by traditional typing techniques or limited sequencing strategies showed that segregating sites located outside exon 2 are crucial to describe not only class I but also class II population diversity. A comprehensive analysis of exons 2, 3, 4 and 5 nucleotide diversity at the 8 HLA loci revealed remarkable differences among these gene regions, notably a greater variation concentrated in the antigen recognition sites of class I exons 3 and some class II exons 2, likely associated with their peptide-presentation function, a lower diversity of HLA-C exon 3, possibly related to its role as a KIR ligand, and a peculiar molecular diversity of HLA-A exon 2, revealing demographic signals. Based on full-length HLA sequences, we also propose that the most frequent DRB1 allele in the studied population, DRB1*13:04, emerged from an allelic conversion involving 3 potential alleles as donors and DRB1*11:02:01 as recipient. Finally, our analysis revealed a high occurrence of the DRB1*13:04-DQA1*05:05:01-DQB1*03:19 haplotype, possibly resulting from a selective sweep due to protection to Onchorcerca volvulus, a prevalent pathogen in West Africa. This study unveils highly relevant information on the molecular evolution of HLA genes in relation to their immune function, calling for similar analyses in other populations living in contrasting environments.

Indexed as

AdultAfrica South of the SaharaFemaleHLA-A AntigensHLA-C AntigensHLA-DQ alpha-ChainsHLA-DRB1 ChainsHumansMaleHLA-A AntigensHLA-C AntigensHLA-DQA1 antigenHLA-DQ alpha-ChainsHLA-DRB1 Chainsallelic conversionbalancing selectionfull-length HLA genesHLA nucleotide diversityOnchocerciasispopulation geneticsselective sweepWest Africa

Identifiers

PMID29160618
PMCPMC5767763
OpenAlexW2768670499

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.