Evidence map›Paper›PMID 38740772›Full record

ArticleNature communications2024

Relationship between HLA genetic variations, COVID-19 vaccine antibody response, and risk of breakthrough outcomes.

Junqing Xie, Beatriz Mothe, Marta Alcalde Herraiz, Chunxiao Li, Yu Xu, Annika M Jödicke, Yaqing Gao, Yunhe Wang, Shuo Feng, Jia Wei and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

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  16. Review
  17. Human genetics of responses to vaccines.Clinical and experimental immunology · 2025
    Review
  18. Article
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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

19 authors.

Junqing XieCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0040-0042
Beatriz MotheInfectious Diseases Department, IrsiCaixa AIDS Research Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.ORCID http://orcid.org/0000-0001-9975-407X
Marta Alcalde HerraizCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
Chunxiao LiMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
Yu XuCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7304-5045
Annika M JödickeCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
Yaqing GaoNuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.
Yunhe WangNuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.
Shuo FengOxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-7855-0991
Jia WeiNuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-9621-529X
Zhuoyao ChenCentre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-4201-4649
Shenda HongNational Institute of Health Data Science, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-7521-5127
Yeda WuInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-5977-1526
Binbin SuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Xiaoying ZhengSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Catherine CohetReal-World Evidence Workstream, Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, Noord-Holland, The Netherlands.ORCID http://orcid.org/0000-0002-0022-7251
Raghib AliMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
Nick WarehamMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1422-2993
Daniel Prieto AlhambraCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK. daniel.prietoalhambra@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0002-3950-6346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid global distribution of COVID-19 vaccines, with over a billion doses administered, has been unprecedented. However, in comparison to most identified clinical determinants, the implications of individual genetic factors on antibody responses post-COVID-19 vaccination for breakthrough outcomes remain elusive. Here, we conducted a population-based study including 357,806 vaccinated participants with high-resolution HLA genotyping data, and a subset of 175,000 with antibody serology test results. We confirmed prior findings that single nucleotide polymorphisms associated with antibody response are predominantly located in the Major Histocompatibility Complex region, with the expansive HLA-DQB1*06 gene alleles linked to improved antibody responses. However, our results did not support the claim that this mutation alone can significantly reduce COVID-19 risk in the general population. In addition, we discovered and validated six HLA alleles (A*03:01, C*16:01, DQA1*01:02, DQA1*01:01, DRB3*01:01, and DPB1*10:01) that independently influence antibody responses and demonstrated a combined effect across HLA genes on the risk of breakthrough COVID-19 outcomes. Lastly, we estimated that COVID-19 vaccine-induced antibody positivity provides approximately 20% protection against infection and 50% protection against severity. These findings have immediate implications for functional studies on HLA molecules and can inform future personalised vaccination strategies.

Indexed as

AllelesAntibodies, ViralCOVID-19COVID-19 VaccinesHLA AntigensPolymorphism, Single NucleotideSARS-CoV-2AdultAntibody FormationBreakthrough InfectionsFemaleGenetic VariationGenotypeHLA-DQ beta-ChainsHumansMaleAntibodies, ViralCOVID-19 VaccinesHLA AntigensHLA-DQ beta-Chains

Identifiers

PMID38740772
PMCPMC11091043

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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.