HIVID: an efficient method to detect HBV integration using low coverage sequencing.

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.

journal_name

Genomics

journal_title

Genomics

authors

Li W,Zeng X,Lee NP,Liu X,Chen S,Guo B,Yi S,Zhuang X,Chen F,Wang G,Poon RT,Fan ST,Mao M,Li Y,Li S,Wang J,Jianwang,Xu X,Jiang H,Zhang X

doi

10.1016/j.ygeno.2013.07.002

subject

Has Abstract

pub_date

2013-10-01 00:00:00

pages

338-44

issue

4

eissn

0888-7543

issn

1089-8646

pii

S0888-7543(13)00130-4

journal_volume

102

pub_type

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