2010
DOI: 10.1016/j.humimm.2010.06.016
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Next-generation sequencing: the solution for high-resolution, unambiguous human leukocyte antigen typing

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Cited by 135 publications
(97 citation statements)
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“…• Multi-gene diagnostic panels (Morgan et al 2010) • Achieving a molecular diagnosis for rare genetic diseases (Lupski et al 2010;Ng et al 2010a, b;Worthey et al 2011;Vissers et al 2010) • Tissue matching and HLA-typing (Bentley et al 2009;Gabriel et al 2009;Lind et al 2010) • Non-invasive prenatal diagnosis (Chiu et al 2008;Fan et al 2008;Lo et al 2010) • Quantifying the burden of disease from solid tumours (Leary et al 2010;McBride et al 2010) and • Cancer genome profiling leading to stratified treatment regimens Diamandis et al 2010;Stratton et al 2009) RNA sequencing (RNA-seq) and chromatin immunoprecipitation (ChIP) sequencing can also be used to study gene expression and for detection of somatic mutations, gene fusions, and other non-mutational events, an understanding of which can have an impact on management of diseases such as cancer (Cowin et al 2010;Robison 2010). However, numerous barriers to clinical translation still exist, including: validation of the technology; standardisation of the analysis pipeline; integration of information from the numerous databases of genomic variation; building a robust evidence base to allow clinical interpretation of novel variants; developing a service delivery infrastructure that can capitalise upon the high-throughput advantages of new sequencing technologies; providing an appropriately skilled health care workforce to deal with genomic medicine; and addressing the numerous ethical, legal and social implications of sequencing, storing and accessing whole genomes.…”
Section: Resultsmentioning
confidence: 99%
“…• Multi-gene diagnostic panels (Morgan et al 2010) • Achieving a molecular diagnosis for rare genetic diseases (Lupski et al 2010;Ng et al 2010a, b;Worthey et al 2011;Vissers et al 2010) • Tissue matching and HLA-typing (Bentley et al 2009;Gabriel et al 2009;Lind et al 2010) • Non-invasive prenatal diagnosis (Chiu et al 2008;Fan et al 2008;Lo et al 2010) • Quantifying the burden of disease from solid tumours (Leary et al 2010;McBride et al 2010) and • Cancer genome profiling leading to stratified treatment regimens Diamandis et al 2010;Stratton et al 2009) RNA sequencing (RNA-seq) and chromatin immunoprecipitation (ChIP) sequencing can also be used to study gene expression and for detection of somatic mutations, gene fusions, and other non-mutational events, an understanding of which can have an impact on management of diseases such as cancer (Cowin et al 2010;Robison 2010). However, numerous barriers to clinical translation still exist, including: validation of the technology; standardisation of the analysis pipeline; integration of information from the numerous databases of genomic variation; building a robust evidence base to allow clinical interpretation of novel variants; developing a service delivery infrastructure that can capitalise upon the high-throughput advantages of new sequencing technologies; providing an appropriately skilled health care workforce to deal with genomic medicine; and addressing the numerous ethical, legal and social implications of sequencing, storing and accessing whole genomes.…”
Section: Resultsmentioning
confidence: 99%
“…16 Epigenomic techniques include whole methylome-bisulfate sequencing (WM-Bseq), chromatin-immunoprecipitation sequencing (ChIP-seq), open chromatin sequencing (DNase-seq, Faire-Seq), long-range genome interaction mapping (3C, 5C, Hi-C, Chia-PET). 17 that non-HLA-A, B, C, DQB1 and DRB1 genetic differences may be important in allorecognition. For example, HLA-DP, which is poorly expressed on the surface of lymphocytes, was not historically considered in matching.…”
Section: Box 1 New Genomics Technology In Hctmentioning
confidence: 99%
“…SGS makes targeted sequencing of entire HLA genes feasible with minimal increase in cost. 17 In light of the recent findings that HLA-DP and other non-classical HLA mismatches also correlate with increased risk of TRM and GVHD, additional genetic information captured with SGS-based HLA typing may have clinical utility, particularly where multiple equivocally matched donors are identified based on classical HLA typing.…”
Section: Box 1 New Genomics Technology In Hctmentioning
confidence: 99%
“…[22][23][24][25] Following amplification, all products are quantified and normalized to equimolar amounts, which is time-consuming when handling large numbers of samples. The goal of this study was to design an accurate, fast, and costefficient tool for molecular testing of all known LCA genes using MPS.…”
Section: Original Research Articlementioning
confidence: 99%