Evidence map›Paper›PMID 35666741›Full record

ArticlePLoS genetics2022

Regulation of HLA class I expression by non-coding gene variations.

Florence Bettens, Halit Ongen, Guillaume Rey, Stéphane Buhler, Zuleika Calderin Sollet, Emmanouil Dermitzakis, Jean Villard

Abstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Mapping the dynamic genetic regulatory architecture ofmedRxiv : the preprint server for health sciences · 2023
    Article
  12. Article
  13. Review
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.

Florence BettensTransplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0003-0418-4452
Halit OngenDepartment of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-4197-5790
Guillaume ReyDepartment of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-7664-7052
Stéphane BuhlerTransplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0001-6675-5287
Zuleika Calderin SolletTransplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland.
Emmanouil DermitzakisDepartment of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.
Jean VillardTransplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0003-2667-7506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Human Leukocyte Antigen (HLA) is a critical genetic system for different outcomes after solid organ and hematopoietic cell transplantation. Its polymorphism is usually determined by molecular technologies at the DNA level. A potential role of HLA allelic expression remains under investigation in the context of the allogenic immune response between donors and recipients. In this study, we quantified the allelic expression of all three HLA class I loci (HLA-A, B and C) by RNA sequencing and conducted an analysis of expression quantitative traits loci (eQTL) to investigate whether HLA expression regulation could be associated with non-coding gene variations. HLA-B alleles exhibited the highest expression levels followed by HLA-C and HLA-A alleles. The max fold expression variation was observed for HLA-C alleles. The expression of HLA class I loci of distinct individuals demonstrated a coordinated and paired expression of both alleles of the same locus. Expression of conserved HLA-A~B~C haplotypes differed in distinct PBMC's suggesting an individual regulated expression of both HLA class I alleles and haplotypes. Cytokines TNFα /IFNβ, which induced a very similar upregulation of HLA class I RNA and cell surface expression across alleles did not modify the individually coordinated expression at the three HLA class I loci. By identifying cis eQTLs for the HLA class I genes, we show that the non-coding eQTLs explain 29%, 13%, and 31% of the respective HLA-A, B, C expression variance in unstimulated cells, and 9%, 23%, and 50% of the variance in cytokine-stimulated cells. The eQTLs have significantly higher effect sizes in stimulated cells compared to unstimulated cells for HLA-B and HLA-C genes expression. Our data also suggest that the identified eQTLs are independent from the coding variation which defines HLA alleles and thus may be influential on intra-allele expression variability although they might not represent the causal eQTLs.

Indexed as

HLA-C AntigensLeukocytes, MononuclearAllelesGene FrequencyHaplotypesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA-A AntigensHLA AntigensHLA-B AntigensHumansHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA-A AntigensHLA AntigensHLA-B AntigensHLA-C Antigens

Identifiers

PMID35666741
PMCPMC9170083

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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.