Abstract:
:The mechanistic details of most disease-causing mutations remain poorly explored within the context of regulatory networks. We present a high-resolution three-dimensional integrated regulatory network (iRegNet3D) in the form of a web tool, where we resolve the interfaces of all known transcription factor (TF)-TF, TF-DNA and chromatin-chromatin interactions for the analysis of both coding and non-coding disease-associated mutations to obtain mechanistic insights into their functional impact. Using iRegNet3D, we find that disease-associated mutations may perturb the regulatory network through diverse mechanisms including chromatin looping. iRegNet3D promises to be an indispensable tool in large-scale sequencing and disease association studies.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Liang S,Tippens ND,Zhou Y,Mort M,Stenson PD,Cooper DN,Yu Hdoi
10.1186/s13059-016-1138-2subject
Has Abstractpub_date
2017-01-18 00:00:00pages
10issue
1eissn
1474-7596issn
1474-760Xpii
10.1186/s13059-016-1138-2journal_volume
18pub_type
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