Evidence map›Paper›PMID 41530431›Full record

ArticleCommunications biology2026

T cell receptor clonotypes predict human leukocyte antigen allele carriage and antigen exposure history.

Hesham ElAbd, Aya K H Mahdy, Eike Matthias Wacker, Maria Gretsova, David Ellinghaus, Astrid Dempfile, Andre Franke

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors.

Hesham ElAbd *Institute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0003-1844-8279
Aya K H Mahdy *Institute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0009-0009-6115-4429
Eike Matthias WackerInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-2068-2550
Maria GretsovaInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
David EllinghausInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-4332-6110
Astrid DempfileInstitute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-2618-3920
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany. a.franke@ikmb.uni-kiel.de.ORCID http://orcid.org/0000-0003-1530-5811

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) Cluster of Excellence 2167Deutsche Forschungsgemeinschaft (German Research Foundation) CRC1526Deutsche Forschungsgemeinschaft (German Research Foundation) EL831/7-1Deutsche Forschungsgemeinschaft (German Research Foundation) RU 5042
6 · The paper itself

Abstract

Conventional T cells recognize peptides presented by the human leukocyte antigen (HLA) proteins through their T cell receptors (TCRs). Given that thousands of HLA proteins have been discovered, each presenting thousands of different peptides, decoding the cognate HLA protein of a TCR experimentally is a challenging task. To address this problem, we combined statistical learning methods with a unique dataset of paired T cell repertoires and HLA allotypes for 6,794 individuals. This enabled us to discover 34,206 T cell receptor alpha (TRA) and 891,564 beta (TRB) clonotypes that were associated with 175 unique HLA alleles. The identified clonotypes target prevalent infections, e.g. influenza, cytomegalovirus and Epstein-Barr virus. Utilizing these clonotypes, we develop statistical models that impute the carriership of common HLA alleles from the TRA- or the TRB- repertoire. In conclusion, the identified allele-associated clonotypes encode the HLA fingerprints and the antigenic exposure history of individuals and populations.

Indexed as

HLA AntigensReceptors, Antigen, T-CellAllelesHumansHLA AntigensReceptors, Antigen, T-Cell

Identifiers

PMID41530431
PMCPMC12800166

What Socratic holds

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LicenceCC BY
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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 Socratic graph.