Evidence map›Paper›PMID 29334893›Full record

ArticleBMC genomics2018

High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq).

Yang Jiao, Ran Li, Chao Wu, Yibin Ding, Yanning Liu, Danmei Jia, Lifeng Wang, Xiang Xu, Jing Zhu, Min Zheng and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A Novel Allele-Specific PCR Protocol for the Detection of theThe application of clinical genetics · 2021
    Article
  5. 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
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

11 authors.

Yang JiaoLife Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China.
Ran LiLife Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China.
Chao WuLife Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China.
Yibin DingSchool of Mathematical Science, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China.
Yanning LiuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, 310003, People's Republic of China.
Danmei JiaLife Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China.
Lifeng WangBeijing Ming-tian Genetics Ltd, Beijing, 100070, People's Republic of China.
Xiang XuSchool of Mathematical Science, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China.
Jing ZhuBeijing Ming-tian Genetics Ltd, Beijing, 100070, People's Republic of China. jingzh76@gmail.com.
Min ZhengCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, Zhejiang, 310003, People's Republic of China. minzheng@zju.edu.cn.
Junling JiaLife Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China. junlingjia@zju.edu.cn.

Funding

National Program on Key Research Project of China 2017YFA0104901National Program on Key Research Project of China No.2016YFC0902702Nature Science Foundation of Zhejiang Province LR15C060001
6 · The paper itself

Abstract

backgroundHighly polymorphic human leukocyte antigen (HLA) genes are responsible for fine-tuning the adaptive immune system. High-resolution HLA typing is important for the treatment of autoimmune and infectious diseases. Additionally, it is routinely performed for identifying matched donors in transplantation medicine. Although many HLA typing approaches have been developed, the complexity, low-efficiency and high-cost of current HLA-typing assays limit their application in population-based high-throughput HLA typing for donors, which is required for creating large-scale databases for transplantation and precision medicine.

resultsHere, we present a cost-efficient Saturated Tiling Capture Sequencing (STC-Seq) approach to capturing 14 HLA class I and II genes. The highly efficient capture (an approximately 23,000-fold enrichment) of these genes allows for simplified allele calling. Tests on five genes (HLA-A/B/C/DRB1/DQB1) from 31 human samples and 351 datasets using STC-Seq showed results that were 98% consistent with the known two sets of digitals (field1 and field2) genotypes. Additionally, STC can capture genomic DNA fragments longer than 3 kb from HLA loci, making the library compatible with the third-generation sequencing.

conclusionsSTC-Seq is a highly accurate and cost-efficient method for HLA typing which can be used to facilitate the establishment of population-based HLA databases for the precision and transplantation medicine.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNAHistocompatibility TestingHLA AntigensHumansHLA AntigensHLA typingHuman leukocyte antigen (HLA)Hybridization captureNext-generation sequencing (NGS)Third-generation sequencing

Identifiers

PMID29334893
PMCPMC5769328

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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.