首页> 美国卫生研究院文献>The Journal of Infectious Diseases >Whole Genome Pyrosequencing of Rare Hepatitis C Virus Genotypes Enhances Subtype Classification and Identification of Naturally Occurring Drug Resistance Variants
【2h】

Whole Genome Pyrosequencing of Rare Hepatitis C Virus Genotypes Enhances Subtype Classification and Identification of Naturally Occurring Drug Resistance Variants

机译:罕见的丙型肝炎病毒基因型的全基因组焦磷酸测序增强了亚型的分类和天然耐药性变异的鉴定。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

>Background. Infection with hepatitis C virus (HCV) is a burgeoning worldwide public health problem, with 170 million infected individuals and an estimated 20 million deaths in the coming decades. While 6 main genotypes generally distinguish the global geographic diversity of HCV, a multitude of closely related subtypes within these genotypes are poorly defined and may influence clinical outcome and treatment options. Unfortunately, the paucity of genetic data from many of these subtypes makes time-consuming primer walking the limiting step for sequencing understudied subtypes.>Methods. Here we combined long-range polymerase chain reaction amplification with pyrosequencing for a rapid approach to generate the complete viral coding region of 31 samples representing poorly defined HCV subtypes.>Results. Phylogenetic classification based on full genome sequences validated previously identified HCV subtypes, identified a recombinant sequence, and identified a new distinct subtype of genotype 4. Unlike conventional sequencing methods, use of deep sequencing also facilitated characterization of minor drug resistance variants within these uncommon or, in some cases, previously uncharacterized HCV subtypes.>Conclusions. These data aid in the classification of uncommon HCV subtypes while also providing a high-resolution view of viral diversity within infected patients, which may be relevant to the development of therapeutic regimens to minimize drug resistance.
机译:>背景。 C丙型肝炎病毒(HCV)感染是一个正在迅速发展的全球性公共卫生问题,在未来几十年中,将有1.7亿人被感染,估计有2000万人死亡。尽管6种主要基因型通常可以区分HCV的全球地理多样性,但这些基因型中的许多密切相关的亚型定义不清,可能会影响临床结果和治疗选择。不幸的是,这些亚型中许多遗传数据的匮乏,使得耗时的引物成为研究这些亚型测序的限制步骤。>方法。这里,我们将远距离聚合酶链反应扩增与焦磷酸测序结合起来,可快速进行>结果。基于全基因组序列的系统发育分类验证了先前鉴定的HCV亚型,鉴定了重组序列,并鉴定了新的独特亚型基因型4。与常规测序方法不同,深度测序的使用还有助于表征这些罕见的,或在某些情况下以前未表征的HCV亚型中较小的耐药变异。>结论。这些数据有助于分类HCV亚型的特征,同时也提供了感染p中病毒多样性的高分辨率视图可能与开发治疗方案以最大程度降低耐药性有关的态度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号