Evidence map›Paper›PMID 32475052›Full record

ArticleHLA2020

Binding affinities of 438 HLA proteins to complete proteomes of seven pandemic viruses and distributions of strongest and weakest HLA peptide binders in populations worldwide.

Rodrigo Barquera, Evelyn Collen, Da Di, Stéphane Buhler, João Teixeira, Bastien Llamas, José M Nunes, Alicia Sanchez-Mazas

Open access · bronzeAbstract read
In one paragraph

Article in HLA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 3 pooled it
7.4field-weighted citation impact, top 2% 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

70 citing papers in PubMed, 3 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
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  13. Narrative Review Explaining the Role ofInfectious disease reports · 2024
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  20. The immunogenetics of COVID-19.Immunogenetics · 2023
    Review

10 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 3 countries.

Rodrigo BarqueraDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany.ORCID 0000-0003-0518-4518
Evelyn CollenAustralian Centre for Ancient DNA (ACAD), Department of Genetics and Evolution, The University of Adelaide, Adelaide, South Australia, Australia.
Da DiAnthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.
Stéphane BuhlerAnthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-6675-5287
João TeixeiraAustralian Centre for Ancient DNA (ACAD), Department of Genetics and Evolution, The University of Adelaide, Adelaide, South Australia, Australia.
Bastien LlamasSchool of Biological Sciences, Centre of Excellence for Australian Biodiversity and Heritage, The University of Adelaide, Adelaide, South Australia, Australia.
José M NunesAnthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-7010-1382
Alicia Sanchez-MazasAnthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-7714-2432
University of Geneva · CHAustralian Research Council · AUMax Planck Institute for the Science of Human History · DEThe University of Adelaide · AU

Funding

Australian Government Research Training Program Stipend (RTPS)Australian Research Council Discovery Indigenous Project IN180100017Australian Research Council Future Fellowship FT170100448European Cooperation in Science and Technology BM0803Max-Planck-GesellschaftSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_188820Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A_144180
6 · The paper itself

Abstract

We report detailed peptide-binding affinities between 438 HLA Class I and Class II proteins and complete proteomes of seven pandemic human viruses, including coronaviruses, influenza viruses and HIV-1. We contrast these affinities with HLA allele frequencies across hundreds of human populations worldwide. Statistical modelling shows that peptide-binding affinities classified into four distinct categories depend on the HLA locus but that the type of virus is only a weak predictor, except in the case of HIV-1. Among the strong HLA binders (IC

Indexed as

PandemicsAfricaAmericasAmino Acid SequenceAsiaAustraliaBetacoronavirusComputational BiologyCoronavirus InfectionsCOVID-19EuropeHIV-1HIV InfectionsHLA AntigensHumansInfluenza A Virus, H1N1 SubtypeHLA AntigensPeptidesViral ProteinscoronavirusCOVID-19HIVHLA population geneticsIndigenous Americansinfluenzanatural selectionpeptide-binding predictionsSARS-CoV-2

Identifiers

PMID32475052
PMCPMC7300650
OpenAlexW3031062516

What OpenQuestion holds

Textmetadata
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.