Evidence map›Paper›PMID 32547543›Full record

ArticleFrontiers in immunology2020

Capturing Differential Allele-Level Expression and Genotypes of All Classical HLA Loci and Haplotypes by a New Capture RNA-Seq Method.

Fumiko Yamamoto, Shingo Suzuki, Akiko Mizutani, Atsuko Shigenari, Sayaka Ito, Yoshie Kametani, Shunichi Kato, Marcelo Fernandez-Viña, Makoto Murata, Satoko Morishima and 5 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Methodological strategies for mappingWorld journal of methodology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sex-Specific HLA Alleles Contribute to the Modulation of COVID-19 Severity.International journal of molecular sciences · 2024
    Article
  7. Article
  8. HLA Genetics for the Human Diseases.Advances in experimental medicine and biology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Mapping the dynamic genetic regulatory architecture ofmedRxiv : the preprint server for health sciences · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. 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

15 authors.

Fumiko YamamotoDepartment of Pathology, Stanford University School of Medicine, Palo Alto, CA, United States.
Shingo SuzukiDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Akiko MizutaniDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Atsuko ShigenariDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Sayaka ItoDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Yoshie KametaniDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Shunichi KatoDivision of Hematopoietic Cell Transplantation, Department of Innovative Medical Science, Tokai University School of Medicine, Isehara, Japan.
Marcelo Fernandez-ViñaDepartment of Pathology, Stanford University School of Medicine, Palo Alto, CA, United States.
Makoto MurataDepartment of Hematology and Oncology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Satoko MorishimaDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan.
Yasuo MorishimaDepartment of Promotion for Blood and Marrow Transplantation, Aichi Medical University School of Medicine, Nagakute, Japan.
Masafumi TanakaDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Jerzy K KulskiDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Seiamak BahramLaboratoire d'ImmunoRhumatologie Moléculaire, Plateforme GENOMAX, INSERM UMR_S 1109, LabEx TRANSPLANTEX, Fédération Hospitalo-Universitaire OMICARE, Laboratoire International Associé INSERM FJ-HLA-Japan, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg, Service d'Immunologie Biologique, Nouvel Hôpital Civil, Strasbourg, France.
Takashi ShiinaDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The highly polymorphic human major histocompatibility complex (MHC) also known as the human leukocyte antigen (HLA) encodes class I and II genes that are the cornerstone of the adaptive immune system. Their unique diversity (>25,000 alleles) might affect the outcome of any transplant, infection, and susceptibility to autoimmune diseases. The recent rapid development of new next-generation sequencing (NGS) methods provides the opportunity to study the influence/correlation of this high level of HLA diversity on allele expression levels in health and disease. Here, we describe the NGS capture RNA-Seq method that we developed for genotyping all 12 classical HLA loci (

Indexed as

Genetic LociHaplotypesRNA-SeqGene FrequencyHigh-Throughput Nucleotide SequencingHLA AntigensHumansPolymorphism, Single NucleotidePredictive Value of TestsReproducibility of ResultsHLA Antigenscapture RNA-SeqgenotypingHLA allelehuman leukocyte antigennext-generation sequencingRNA expression level

Identifiers

PMID32547543
PMCPMC7272581

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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.