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Utility of next‐generation sequencing methods to identify the novel HLA alleles in potential stem cell donors from Chinese Marrow Donor Program
Author(s) -
Qi Jun,
Wang TianJu,
Chen LiPing,
Wang XiaoFang,
Wang ManNi,
Wu JunHua
Publication year - 2018
Publication title -
international journal of immunogenetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.41
H-Index - 47
eISSN - 1744-313X
pISSN - 1744-3121
DOI - 10.1111/iji.12377
Subject(s) - sanger sequencing , human leukocyte antigen , allele , dna sequencing , biology , haplotype , genetics , allele frequency , typing , computational biology , gene , antigen
Summary The human leucocyte antigen ( HLA ) is the most polymorphic region of the human genome. Compared with Sanger‐sequencing‐based typing ( SBT ) methods, next‐generation sequencing ( NGS ) has significantly higher throughput and depth sequencing characteristics, having dramatic impacts on HLA typing in clinical settings. Here, we performed NGS technology with Ion Torrent S5 platform to evaluate the potential four novel HLA alleles detected in five donors from Chinese Marrow Donor Program ( CMDP , Shaanxi Province) during routine Sanger SBT testing. We also predicted the highest estimated relative frequency novel allele‐bearing haplotypes according to their phenotypes and HaploStats database. NGS assays, as it provided the phase‐defined and complete sequencing information, undoubtedly increase novel allele identification which will greatly enrich HLA database and provide more information for donor selection.