Evidence map›Paper›PMID 28600441›Full record

ArticleG3 (Bethesda, Md.)2017

Unique Allelic eQTL Clusters in Human MHC Haplotypes.

Tze Hau Lam, Meixin Shen, Matthew Zirui Tay, Ee Chee Ren

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. HLA Haplotypes and Relapse After Hematopoietic Cell Transplantation.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
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  13. Article
  14. International journal of molecular sciences · 2020
    Article
  15. Article
  16. Article
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  18. 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

4 authors at 3 institutions in 2 countries.

Tze Hau LamSingapore Immunology Network, A*STAR, Singapore 138648.
Meixin ShenSingapore Immunology Network, A*STAR, Singapore 138648.
Matthew Zirui TayDepartment of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina 27710.
Ee Chee RenSingapore Immunology Network, A*STAR, Singapore 138648 ren_ee_chee@immunol.a-star.edu.sg.ORCID 0000-0001-5039-2207
Singapore Immunology Network · SGAgency for Science, Technology and Research · SGDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The control of gene regulation within the major histocompatibility complex (MHC) remains poorly understood, despite several expression quantitative trait loci (eQTL) studies revealing an association of MHC gene expression with independent tag-single nucleotide polymorphisms (SNPs). MHC haplotype variation may exert a greater effect on gene expression phenotype than specific single variants. To explore the effect of MHC haplotype sequence diversity on gene expression phenotypes across the MHC, we examined the MHC transcriptomic landscape at haplotype-specific resolution for three prominent MHC haplotypes (A2-B46-DR9, A33-B58-DR3, and A1-B8-DR3) derived from MHC-homozygous B-lymphoblastoid cell lines (B-LCLs). We demonstrate that MHC-wide gene expression patterns are dictated by underlying haplotypes, and identify 36 differentially expressed genes. By mapping these haplotype sequence variations to known eQTL, we provide evidence that unique allelic combinations of eQTL, embedded within haplotypes, are correlated with the level of expression of 17 genes. Interestingly, the influence of haplotype sequence on gene expression is not homogenous across the MHC. We show that haplotype sequence polymorphisms within or proximate to HLA-A, HLA-C, C4A, and HLA-DRB regions exert haplotype-specific gene regulatory effects, whereas the expression of genes in other parts of the MHC region are not affected by the haplotype sequence. Overall, we demonstrate that MHC haplotype sequence diversity can impact phenotypic outcome via the alteration of transcriptional variability, indicating that a haplotype-based approach is fundamental for the assessment of trait associations in the MHC.

Indexed as

AllelesBase SequenceGene Expression ProfilingGene Expression RegulationHaplotypesHumansMajor Histocompatibility ComplexQuantitative Trait LocieQTLshaplotypesMHCMHC sequence polymorphism

Identifiers

PMID28600441
PMCPMC5555465
OpenAlexW2621406467

What OpenQuestion holds

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LicenceCC BY
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.