| Literature DB >> 23867110 |
Weiyang Li1, Xi Zeng, Nikki P Lee, Xiao Liu, Shengpei Chen, Bing Guo, Shang Yi, Xuehan Zhuang, Fang Chen, Guan Wang, Ronnie T Poon, Sheung Tat Fan, Mao Mao, Yingrui Li, Songgang Li, Jun Wang, Xun Xu, Hui Jiang, Xiuqing Zhang.
Abstract
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.Entities:
Keywords: Capture; Cost-effective; Hepatocellular carcinoma; High-throughput; Integration
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Year: 2013 PMID: 23867110 DOI: 10.1016/j.ygeno.2013.07.002
Source DB: PubMed Journal: Genomics ISSN: 0888-7543 Impact factor: 5.736