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首页> 外文期刊>The Journal of molecular diagnostics: JMD >Development and Validation of a Template Independent Next-Generation Sequencing Assay for Detecting Low-Level Resistance-Associated Variants of Hepatitis C Virus
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Development and Validation of a Template Independent Next-Generation Sequencing Assay for Detecting Low-Level Resistance-Associated Variants of Hepatitis C Virus

机译:模板无关的下一代测序技术的开发和验证,用于检测丙型肝炎病毒的低水平抗药性相关变异

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To develop hepatitis C virus (HCV) direct-acting antiviral (DAA) drugs that can treat most HCV genotypes and offer higher barriers for treatment-resistant mutations, it is important to study resistance-associated variants (RAVs). Current commercially available RAV detection assays rely on genotype- or subtype-specific template-dependent PCR amplification. These assays are limited to genotypes and subtypes that are often prevalent in developed countries because of availability of public sequence databases. To support global clinical trials, of DAAs, we developed and validated a template-independent (TI) next-generation sequencing (NGS) assay for HCV whole genome sequencing that can perform HCV subtyping, detect HCV mixed genotype or subtype infection, and identify low-level RAVs at a 5% fraction of the viral population with sensitivity and positive predictive value >= 0.9. We compared TI-NGS with commercial genotype- or subtype-specific Sanger sequencing assays, and found that TI-NGS both confirmed most of variants called by Sanger sequencing and avoided biases likely caused by PCR primers used in Sanger sequencing. To confirm TI-NGS assay's variant calls at the discrepant positions with Sanger sequencing, we custom designed template-dependent NGS assays and obtained 100% concordance with the TI-NGS assay. The ability to reliably detect low-level RAVs in HCV samples of any subtype without PCR primer-related bias makes this TI-NGS assay an important tool in studying HCV DAA drug resistance.
机译:为了开发可治疗大多数HCV基因型并为治疗耐药性突变提供更高屏障的丙型肝炎病毒(HCV)直接作用抗病毒(DAA)药物,研究耐药性相关变异(RAV)非常重要。当前的市售RAV检测测定法依赖于基因型或亚型特异性模板依赖性PCR扩增。由于公共序列数据库的可用性,这些测定仅限于发达国家中普遍存在的基因型和亚型。为了支持DAA的全球临床试验,我们开发并验证了用于HCV全基因组测序的模板无关(TI)下一代测序(NGS)分析,可以进行HCV亚型分型,检测HCV混合基因型或亚型感染并鉴定低水平的RAV占病毒种群的5%,敏感度和阳性预测值> = 0.9。我们将TI-NGS与商业基因型或亚型特异性Sanger测序分析进行了比较,发现TI-NGS既确认了Sanger测序所称的大多数变异,又避免了Sanger测序中使用的PCR引物可能引起的偏倚。为了用Sanger测序确认TI-NGS分析在不同位置的变异,我们定制设计了模板依赖性的NGS分析,并与TI-NGS分析获得100%的一致性。能够可靠地检测任何亚型的HCV样品中的低水平RAV,而无需PCR引物相关的偏倚,这使得TI-NGS分析成为研究HCV DAA耐药性的重要工具。

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