Use of deep whole-genome sequencing data to identify structure risk variants in breast cancer susceptibility genes
Abstract
Functional disruptions of susceptibility genes by large genomic structure variant (SV) deletions in germlines are known to be associated with cancer risk. However, few studies have been conducted to systematically search for SV deletions in breast cancer susceptibility genes. We analysed deep (> 30x) whole-genome sequencing (WGS) data generated in blood samples from 128 breast cancer patients of Asian and European descent with either a strong...
Paper Details
Title
Use of deep whole-genome sequencing data to identify structure risk variants in breast cancer susceptibility genes
Published Date
Jan 8, 2018
Journal
Volume
27
Issue
5
Pages
853 - 859
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