Article
Use of deep whole-genome sequencing data to identify structure risk variants in breast cancer susceptibility genes.
Human molecular genetics - 1 Mar 2018
Guo Xingyi, Shi Jiajun, Cai Qiuyin, Shu Xiao-Ou, He Jing, Wen Wanqing, Allen Jamie, Pharoah Paul, Dunning Alison, Hunter David J, Kraft Peter, Easton Douglas F, Zheng Wei, Long Jirong
Abstract excerpt
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...
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