Evidence map›Paper›PMID 27798706›Full record

ArticlePloS one2016

Application of High-Throughput Next-Generation Sequencing for HLA Typing on Buccal Extracted DNA: Results from over 10,000 Donor Recruitment Samples.

Yuxin Yin, James H Lan, David Nguyen, Nicole Valenzuela, Ping Takemura, Yung-Tsi Bolon, Brianna Springer, Katsuyuki Saito, Ying Zheng, Tim Hague and 5 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. 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
  3. Review
  4. Review
  5. Article
  6. Bioinformatics Strategies, Challenges, and Opportunities for Next Generation Sequencing-Based HLA Genotyping.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

15 authors.

Yuxin YinUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.
James H LanUniversity of British Columbia Clinician Investigator Program, Vancouver, BC, Canada.
David NguyenUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.
Nicole ValenzuelaUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.
Ping TakemuraUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.
Yung-Tsi BolonNational Marrow Donor Program, Minneapolis, MN, United States of America.
Brianna SpringerNational Marrow Donor Program, Minneapolis, MN, United States of America.
Katsuyuki SaitoOne Lambda, Thermo Fisher Scientific, Canoga Park, CA, United States of America.
Ying ZhengUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.
Tim HagueOmixon LTD, Budapest, Hungary.
Agnes PasztorOmixon LTD, Budapest, Hungary.
Gyorgy HorvathOmixon LTD, Budapest, Hungary.
Krisztina RigoOmixon LTD, Budapest, Hungary.
Elaine F ReedUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.
Qiuheng ZhangUCLA Immunogenetics Center, Department of Pathology & Laboratory Medicine, Los Angeles, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnambiguous HLA typing is important in hematopoietic stem cell transplantation (HSCT), HLA disease association studies, and solid organ transplantation. However, current molecular typing methods only interrogate the antigen recognition site (ARS) of HLA genes, resulting in many cis-trans ambiguities that require additional typing methods to resolve. Here we report high-resolution HLA typing of 10,063 National Marrow Donor Program (NMDP) registry donors using long-range PCR by next generation sequencing (NGS) approach on buccal swab DNA.

methodsMultiplex long-range PCR primers amplified the full-length of HLA class I genes (A, B, C) from promotor to 3' UTR. Class II genes (DRB1, DQB1) were amplified from exon 2 through part of exon 4. PCR amplicons were pooled and sheared using Covaris fragmentation. Library preparation was performed using the Illumina TruSeq Nano kit on the Beckman FX automated platform. Each sample was tagged with a unique barcode, followed by 2×250 bp paired-end sequencing on the Illumina MiSeq. HLA typing was assigned using Omixon Twin software that combines two independent computational algorithms to ensure high confidence in allele calling. Consensus sequence and typing results were reported in Histoimmunogenetics Markup Language (HML) format. All homozygous alleles were confirmed by Luminex SSO typing and exon novelties were confirmed by Sanger sequencing.

resultsUsing this automated workflow, over 10,063 NMDP registry donors were successfully typed under high-resolution by NGS. Despite known challenges of nucleic acid degradation and low DNA concentration commonly associated with buccal-based specimens, 97.8% of samples were successfully amplified using long-range PCR. Among these, 98.2% were successfully reported by NGS, with an accuracy rate of 99.84% in an independent blind Quality Control audit performed by the NDMP. In this study, NGS-HLA typing identified 23 null alleles (0.023%), 92 rare alleles (0.091%) and 42 exon novelties (0.042%).

conclusionLong-range, unambiguous HLA genotyping is achievable on clinical buccal swab-extracted DNA. Importantly, full-length gene sequencing and the ability to curate full sequence data will permit future interrogation of the impact of introns, expanded exons, and other gene regulatory sequences on clinical outcomes in transplantation.

Indexed as

High-Throughput Nucleotide SequencingHistocompatibility TestingAllelesExonsGene FrequencyGenotypeHLA AntigensHumansMouth MucosaMultiplex Polymerase Chain ReactionSequence Analysis, DNATissue DonorsWorkflowHLA Antigens

Identifiers

PMID27798706
PMCPMC5087893

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.