ArticleGenome biology2017
iRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations.
Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Pharmacogenomics and circadian rhythms as mediators of cardiovascular drug-drug interactions.Current research in pharmacology and drug discovery · 2021Review
- Gain-of-Function Mutations: An Emerging Advantage for Cancer Biology.Trends in biochemical sciences · 2019Review
- Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Briefings in bioinformatics · 2019Review
- Most chromatin interactions are not in linkage disequilibrium.Genome research · 2019Article
- Genetic Study of Hepatocyte Nuclear Factor 1 Alpha Variants in Development of Early-Onset Diabetes Type 2 and Maturity-Onset Diabetes of the Young 3 in Iran.Advanced biomedical research · 2019Article
- Human disease genomics: from variants to biology.Genome biology · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.