Evidence map›Paper›PMID 30337930›Full record

ArticleFrontiers in immunology2018

Reference Grade Characterization of Polymorphisms in Full-Length HLA Class I and II Genes With Short-Read Sequencing on the ION PGM System and Long-Reads Generated by Single Molecule, Real-Time Sequencing on the PacBio Platform.

Shingo Suzuki, Swati Ranade, Ken Osaki, Sayaka Ito, Atsuko Shigenari, Yuko Ohnuki, Akira Oka, Anri Masuya, John Harting, Primo Baybayan and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. HLA Genetics for the Human Diseases.Advances in experimental medicine and biology · 2024
    Review
  3. Review
  4. Article
  5. Sequence Variations WithinFrontiers in immunology · 2022
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Defining Blood Group Gene Reference Alleles by Long-Read Sequencing: Proof of Concept in theTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. 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
  16. 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

17 authors at 4 institutions in 3 countries.

Shingo SuzukiDivision of Basic Medical Science and Molecular Medicine, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Swati RanadeMolecular Biology Applications, Pacific Biosciences, Inc, Menlo Park, CA, United States.
Ken OsakiPacific Biosciences Division, Tomy Digital Biology Co., Ltd, Tokyo, Japan.
Sayaka ItoDivision of Basic Medical Science and Molecular Medicine, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Atsuko ShigenariDivision of Basic Medical Science and Molecular Medicine, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Yuko OhnukiDivision of Basic Medical Science and Molecular Medicine, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Akira OkaThe Institute of Medical Sciences, Tokai University, Isehara, Japan.
Anri MasuyaGenoDive Pharma Inc., Atsugi, Japan.
John HartingMolecular Biology Applications, Pacific Biosciences, Inc, Menlo Park, CA, United States.
Primo BaybayanMolecular Biology Applications, Pacific Biosciences, Inc, Menlo Park, CA, United States.
Miwako KitazumePacific Biosciences Division, Tomy Digital Biology Co., Ltd, Tokyo, Japan.
Junichi SunagaPacific Biosciences Division, Tomy Digital Biology Co., Ltd, Tokyo, 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.
Hidetoshi InokoGenoDive Pharma Inc., Atsugi, Japan.
Jerzy K KulskiDivision of Basic Medical Science and Molecular Medicine, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Takashi ShiinaDivision of Basic Medical Science and Molecular Medicine, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Tokai University · JPPacific Biosciences (United States) · USAichi Medical University · JPUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although NGS technologies fuel advances in high-throughput HLA genotyping methods for identification and classification of HLA genes to assist with precision medicine efforts in disease and transplantation, the efficiency of these methods are impeded by the absence of adequately-characterized high-frequency HLA allele reference sequence databases for the highly polymorphic HLA gene system. Here, we report on producing a comprehensive collection of full-length HLA allele sequences for eight classical HLA loci found in the Japanese population. We augmented the second-generation short read data generated by the Ion Torrent technology with long amplicon spanning consensus reads delivered by the third-generation SMRT sequencing method to create reference grade high-quality sequences of HLA class I and II gene alleles resolved at the genomic coding and non-coding level. Forty-six DNAs were obtained from a reference set used previously to establish the HLA allele frequency data in Japanese subjects. The samples included alleles with a collective allele frequency in the Japanese population of more than 99.2%. The HLA loci were independently amplified by long-range PCR using previously designed HLA-locus specific primers and subsequently sequenced using SMRT and Ion PGM sequencers. The mapped long and short-reads were used to produce a reference library of consensus HLA allelic sequences with the help of the reference-aware software tool LAA for SMRT Sequencing. A total of 253 distinct alleles were determined for 46 healthy subjects. Of them, 137 were novel alleles: 101 SNVs and/or indels and 36 extended alleles at a partial or full-length level. Comparing the HLA sequences from the perspective of nucleotide diversity revealed that HLA-DRB1 was the most divergent among the eight HLA genes, and that the HLA-DPB1 gene sequences diverged into two distinct groups, DP2 and DP5, with evidence of independent polymorphisms generated in exon 2. We also identified two specific intronic variations in HLA-DRB1 that might be involved in rheumatoid arthritis. In conclusion, full-length HLA allele sequencing by third-generation and second-generation technologies has provided polymorphic gene reference sequences at a genomic allelic resolution including allelic variations assigned up to the field-4 level for a stronger foundation in precision medicine and HLA-related disease and transplantation studies.

Indexed as

Genes, MHC Class IGenes, MHC Class IIHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareAdultAgedAged, 80 and overAllelesArthritis, RheumatoidComputational BiologyFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenomicsgenotypingHLAhuman leukocyte antigenIon PGMnext-generation sequencingNGSPacBio RS IISMRT sequencing

Identifiers

PMID30337930
PMCPMC6180199
OpenAlexW2895055036

What OpenQuestion holds

Textmetadata
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.