BGI-Shenzhen, Shenzhen, 518083, China; School of Bioscience and Bioengineering, South China University of Technology, China.
Genomics. 2013 Oct;102(4):338-44. doi: 10.1016/j.ygeno.2013.07.002. Epub 2013 Jul 15.
We reported HIVID (high-throughput Viral Integration Detection), a novel experimental and computational method to detect the location of Hepatitis B Virus (HBV) integration breakpoints in Hepatocellular Carcinoma (HCC) genome. In this method, the fragments with HBV sequence were enriched by a set of HBV probes and then processed to high-throughput sequencing. In order to evaluate the performance of HIVID, we compared the results of HIVID with that of whole genome sequencing method (WGS) in 28 HCC tumors. We detected a total of 246 HBV integration breakpoints in HCC genome, 113 out of which were within 400bp upstream or downstream of 125 breakpoints identified by WGS method, covering 89.3% (125/140) of total breakpoints. The integration was located in the gene TERT, MLL4, and CCNE1. In addition, we discovered 133 novel breakpoints missed by WGS method, with 66.7% (10/15) of validation rate. Our study shows HIVID is a cost-effective methodology with high specificity and sensitivity to identify viral integration in human genome.
我们报道了 HIVID(高通量病毒整合检测),这是一种新的实验和计算方法,用于检测乙型肝炎病毒(HBV)整合断裂点在肝细胞癌(HCC)基因组中的位置。在这种方法中,通过一组 HBV 探针富集具有 HBV 序列的片段,然后进行高通量测序。为了评估 HIVID 的性能,我们将 HIVID 的结果与 28 个 HCC 肿瘤的全基因组测序方法(WGS)的结果进行了比较。我们总共在 HCC 基因组中检测到 246 个 HBV 整合断裂点,其中 113 个位于 WGS 方法鉴定的 125 个断裂点的上下游 400bp 内,占总断裂点的 89.3%(125/140)。整合位于基因 TERT、MLL4 和 CCNE1 中。此外,我们还发现了 WGS 方法错过的 133 个新断裂点,其中 66.7%(10/15)的验证率。我们的研究表明,HIVID 是一种具有成本效益的方法,具有高特异性和敏感性,可用于鉴定人类基因组中的病毒整合。