Evidence map›Paper›PMID 26018555›Full record

ArticlePloS one2015

HLA Typing for the Next Generation.

Neema P Mayor, James Robinson, Alasdair J M McWhinnie, Swati Ranade, Kevin Eng, William Midwinter, Will P Bultitude, Chen-Shan Chin, Brett Bowman, Patrick Marks and 4 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Advancements in HLA Typing Techniques and Their Impact on Transplantation Medicine.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Review
  10. Article
  11. Review
  12. The IPD-IMGT/HLA Database.Nucleic acids research · 2023
    Article
  13. Article
  14. Article
  15. A Comprehensive Review ofPharmaceuticals (Basel, Switzerland) · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. Impact of Previously Unrecognized HLA Mismatches Using Ultrahigh Resolution Typing in Unrelated Donor Hematopoietic Cell Transplantation.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Article
  20. 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

14 authors.

Neema P MayorAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom; UCL Cancer Institute, Royal Free Campus, London, United Kingdom.
James RobinsonAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom; UCL Cancer Institute, Royal Free Campus, London, United Kingdom.
Alasdair J M McWhinnieAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom.
Swati RanadePacific Biosciences, Menlo Park, California, United States of America.
Kevin EngPacific Biosciences, Menlo Park, California, United States of America.
William MidwinterAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom.
Will P BultitudeAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom.
Chen-Shan ChinPacific Biosciences, Menlo Park, California, United States of America.
Brett BowmanPacific Biosciences, Menlo Park, California, United States of America.
Patrick MarksPacific Biosciences, Menlo Park, California, United States of America.
Henny BraundAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom.
J Alejandro MadrigalAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom; UCL Cancer Institute, Royal Free Campus, London, United Kingdom.
Katy LathamAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom.
Steven G E MarshAnthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom; UCL Cancer Institute, Royal Free Campus, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allele-level resolution data at primary HLA typing is the ideal for most histocompatibility testing laboratories. Many high-throughput molecular HLA typing approaches are unable to determine the phase of observed DNA sequence polymorphisms, leading to ambiguous results. The use of higher resolution methods is often restricted due to cost and time limitations. Here we report on the feasibility of using Pacific Biosciences' Single Molecule Real-Time (SMRT) DNA sequencing technology for high-resolution and high-throughput HLA typing. Seven DNA samples were typed for HLA-A, -B and -C. The results showed that SMRT DNA sequencing technology was able to generate sequences that spanned entire HLA Class I genes that allowed for accurate allele calling. Eight novel genomic HLA class I sequences were identified, four were novel alleles, three were confirmed as genomic sequence extensions and one corrected an existing genomic reference sequence. This method has the potential to revolutionize the field of HLA typing. The clinical impact of achieving this level of resolution HLA typing data is likely to considerable, particularly in applications such as organ and blood stem cell transplantation where matching donors and recipients for their HLA is of utmost importance.

Indexed as

AllelesGenomicsHigh-Throughput Nucleotide SequencingHistocompatibility TestingHumansSequence Analysis, DNA

Identifiers

PMID26018555
PMCPMC4446346

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.