Evidence map›Paper›PMID 31237117›Full record

ArticleHLA2019

Comparison of sequence-specific oligonucleotide probe vs next generation sequencing for HLA-A, B, C, DRB1, DRB3/B4/B5, DQA1, DQB1, DPA1, and DPB1 typing: Toward single-pass high-resolution HLA typing in support of solid organ and hematopoietic cell transplant programs.

Anajane G Smith, Shalini Pereira, Andrés Jaramillo, Scott T Stoll, Faisal M Khan, Noureddine Berka, Ahmed A Mostafa, Marcelo J Pando, Crystal Y Usenko, Maria P Bettinotti and 5 more

Abstract readComparative Study
In one paragraph

Article in HLA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
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  9. Effects ofOpen life sciences · 2025
    Article
  10. Review
  11. 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
  12. Review
  13. 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.

Anajane G SmithClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Shalini PereiraDepartment of Laboratory Medicine, University of Washington, Seattle, Washington.
Andrés JaramilloDivision of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0002-0910-1460
Scott T StollDivision of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, Arizona.
Faisal M KhanCalgary Laboratory Services, Calgary, Alberta Children's Hospital Research Institute, Alberta.
Noureddine BerkaCalgary Laboratory Services, Calgary, Alberta Children's Hospital Research Institute, Alberta.
Ahmed A MostafaCalgary Laboratory Services, Calgary, Alberta Children's Hospital Research Institute, Alberta.
Marcelo J PandoDepartment of Surgery, Scott & White Medical Center, Temple, Texas.
Crystal Y UsenkoDepartment of Surgery, Scott & White Medical Center, Temple, Texas.
Maria P BettinottiImmunogenetics Laboratory, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
Chul-Woo PyoClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Wyatt C NelsonClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Amanda WillisDepartment of Pathology and Laboratory Medicine, Baylor University Medical Center, Dallas, Texas.
Medhat AskarDepartment of Pathology and Laboratory Medicine, Baylor University Medical Center, Dallas, Texas.
Daniel E GeraghtyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

Funding

An integrated genotyping approach for HLA and other genetic systemsR44AI120617 · NIAID · SCISIO GENETICS, INC. · PI NELSON, WYATT · 2015 to 2017
$2.2M
NIH HHS R44 AI120617
6 · The paper itself

Abstract

Many clinical laboratories supporting solid organ transplant programs use multiple HLA genotyping technologies, depending on individual laboratory needs. Sequence-specific primers and quantitative polymerase chain reaction (qPCR) serve the rapid turnaround necessary for deceased donor workup, while sequence-specific oligonucleotide probe (SSOP) technology is widely employed for higher volumes. When clinical need mandates high-resolution data, Sanger sequencing-based typing (SBT) has been the "gold standard." However, all those methods commonly yield ambiguous typing results that utilize valuable laboratory resources when resolution is required. In solid organ transplantation, high-resolution typing may provide critical information for highly sensitized patients with donor-specific anti-HLA antibodies (DSA), particularly when DSA involve HLA alleles not discriminated by SSOP typing. Arguments against routine use of SBT include assay complexity, long turnaround times (TAT), and increased costs. Here, we compare a next generation sequencing (NGS) technology with SSOP for accuracy, effort, turnaround time, and level of resolution for genotyping of 11 HLA loci among 289 specimens from five clinical laboratories. Results were concordant except for SSOP misassignments in eight specimens and 21 novel sequences uniquely identified by NGS. With few exceptions, SSOP generated ambiguous results while NGS provided unambiguous three-field allele assignments. For complete HLA genotyping of up to 24 samples by either SSOP or NGS, bench work was completed on day 1 and typing results were available on day 2. This study provides compelling evidence that, although not viable for STAT typing of deceased donors, a single-pass NGS HLA typing method has direct application for solid organ transplantation.

Indexed as

Genotyping TechniquesHematopoietic Stem Cell TransplantationHigh-Throughput Nucleotide SequencingHistocompatibility TestingOrgan TransplantationAllelesHLA AntigensHumansOligonucleotide ProbesHLA AntigensOligonucleotide ProbesHLA genotypingnext generation sequencingsolid organ transplantation

Identifiers

PMID31237117
PMCPMC6772026

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.