Evidence map›Paper›PMID 40275118›Full record

ArticleGenes and immunity2025

Association between HLA genetics and SARS-CoV-2 infection in a large real-world cohort.

Stanley I Letovsky, Xia Cao, Jill A Hollenbach, Steven J Mack, Martin Maiers

Abstract read
In one paragraph

Article in Genes and immunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
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

5 authors.

Stanley I LetovskyDepartment of Data Science, AI, and Bioinformatics, Laboratory Corporation of America, Burlington, NC, USA. letovss@labcorp.com.ORCID 0000-0002-5512-1470
Xia CaoDepartment of Data Science, AI, and Bioinformatics, Laboratory Corporation of America, Burlington, NC, USA.
Jill A HollenbachDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6572-7962
Steven J MackDepartment of Pediatrics, University of California, San Francisco, Oakland, CA, USA.
Martin MaiersCIBMTR® (Center for International Blood and Marrow Transplant Research), NMDP, Minneapolis, MN, USA.ORCID 0000-0002-0198-2064

Funding

Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
MHC Variation in Host Response to SARS-CoV2 and COVID-19 OutcomesR01AI159260 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLLENBACH, JILL ALLISON · 2021 to 2025
$4.0M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) R01AI128775NIAID NIH HHS R01 AI128775NIAID NIH HHS R01 AI159260U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI159260
6 · The paper itself

Abstract

Genetic variation in the human leukocyte antigen (HLA) region is thought to influence susceptibility to and severity of a variety of infectious diseases. Several studies have explored a possible relationship between HLA genetics and SARS-CoV-2 infection, although mixed results, small sample sizes, and difficulty controlling for exposure risk have made it difficult to draw firm conclusions. Here, a dataset of 419,234 subjects with HLA genotype data and COVID-19 PCR test results was studied. A baseline analysis was performed to examine the association of non-HLA factors on COVID-19 positivity. Then, multivariate logistic regressions, incorporating single and paired HLA alleles, were performed and then corrected for significant factors from the baseline analysis. Proxies for socioeconomic status and exposure risk were significantly associated with COVID-19 positivity across all ancestry groups studied. Forty-one single HLA alleles displayed significant association with COVID-19 positivity; after controlling for socioeconomic status and exposure risk, only eight significant associations remained. Additionally, two HLA allele pairs were associated with test positivity after correction. Of all variables, socioeconomic status showed the greatest effect size. The results from this study suggest that many, if not all, of the reported associations between HLA alleles and SARS-CoV-2 infection may be spurious, owing to confounding factors.

Indexed as

COVID-19HLA AntigensAdultAgedAllelesCohort StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedSARS-CoV-2HLA Antigens

Identifiers

PMID40275118
PMCPMC12170163

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.