Identifying DNase I hypersensitive sites as driver distal regulatory elements in breast cancer
Cancer driver mutations can occur within noncoding genomic sequences. Here, the authors develop a statistical approach to identify candidate noncoding driver mutations in DNase I hypersensitive sites in breast cancer and experimentally demonstrate they are regulatory elements of known cancer genes.
Main Authors: | Matteo D′Antonio, Donate Weghorn, Agnieszka D′Antonio-Chronowska, Florence Coulet, Katrina M. Olson, Christopher DeBoever, Frauke Drees, Angelo Arias, Hakan Alakus, Andrea L. Richardson, Richard B. Schwab, Emma K. Farley, Shamil R. Sunyaev, Kelly A Frazer |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2017-09-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-017-00100-x |
Similar Items
-
Deep learning for DNase I hypersensitive sites identification
by: Chuqiao Lyu, et al.
Published: (2018-12-01) -
Analysis of DNase I hypersensitive sites in the CFTR gene
by: Nuthall, Hugh
Published: (1998) -
Current bioinformatic approaches to identify DNase I hypersensitive sites and genomic footprints from DNase-seq data
by: Pedro eMadrigal, et al.
Published: (2012-10-01) -
Genome-wide prediction of DNase I hypersensitivity using gene expression
by: Weiqiang Zhou, et al.
Published: (2017-10-01) -
Transposable element derived DNaseI-hypersensitive sites in the human genome
by: Jordan I King, et al.
Published: (2006-07-01)