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

Authors :
Yibin Ding
Jing Zhu
Ran Li
Yanning Liu
Junling Jia
Xiang Xu
Chao Wu
Yang Jiao
Min Zheng
Lifeng Wang
Danmei Jia
Source :
BMC Genomics, Vol 19, Iss 1, Pp 1-10 (2018), BMC Genomics
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

Background Highly 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. Results Here, 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. Conclusions STC-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. Electronic supplementary material The online version of this article (10.1186/s12864-018-4431-5) contains supplementary material, which is available to authorized users.

Details

ISSN :
14712164
Volume :
19
Database :
OpenAIRE
Journal :
BMC Genomics
Accession number :
edsair.doi.dedup.....243326ee2434442b8e074151cbbacf2b
Full Text :
https://doi.org/10.1186/s12864-018-4431-5