Evidence map›Paper›PMID 31173929›Full record

ArticleThe Journal of molecular diagnostics : JMD2019

Resolving MiSeq-Generated Ambiguities in HLA-DPB1 Typing by Using the Oxford Nanopore Technology.

Jamie L Duke, Timothy L Mosbruger, Deborah Ferriola, Nilesh Chitnis, Taishan Hu, Nikolaos Tairis, David J Margolis, Dimitri S Monos

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Next-Generation Sequencing Technologies in Blood Group Typing.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2020
    Review
  10. 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

8 authors.

Jamie L DukeImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Timothy L MosbrugerImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Deborah FerriolaImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Nilesh ChitnisImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Taishan HuImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Nikolaos TairisImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
David J MargolisDepartment of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Departments of Dermatology and Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Dimitri S MonosImmunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: monosd@email.chop.edu.

Funding

Atopic Dermatitis and High Resolution HLAR01AR070873 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI MARGOLIS, DAVID, MONOS, DIMITRI S · 2017 to 2022
$2.4M
NIAMS NIH HHS R01 AR070873
6 · The paper itself

Abstract

The technical limitations of current next-generation sequencing technologies, combined with an ever-increasing number of human leukocyte antigen (HLA) alleles, form the basis for the additional ambiguities encountered at an increasing rate in clinical practice. HLA-DPB1 characterization, particularly, generates a significant percentage of ambiguities (25.5%), posing a challenge for accurate and unambiguous HLA-DPB1 genotyping. Phasing of exonic heterozygous positions between exon 2 and all other downstream exons has been the major cause of ambiguities. In this study, the Oxford Nanopore MinION, a third-generation sequencing technology, was used to resolve the phasing. The accurate MiSeq sequencing data, combined with the long reads obtained from the MinION platform, allow for the resolution of the tested ambiguities.

Indexed as

NanoporesExonsGenetic TestingHigh-Throughput Nucleotide SequencingHistocompatibility TestingHLA-DP beta-ChainsHumansSequence Analysis, DNAHLA-DPB1 antigenHLA-DP beta-Chains

Identifiers

PMID31173929
PMCPMC6734860

What OpenQuestion holds

Textmetadata
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.