A Quantitative Epistasis Framework For Interrogating the Network of Enhancers
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ABSTRACT: The mammalian genome possesses a network of non-coding regulatory elements with key genes regulated by many enhancers. It remains unknown why these genes require multiple enhancers for regulation and what is the functional role of each enhancer contributing to a coordinated enhancer network. Here we develop a novel framework, named SEER (Systematic Enhancer Epistasis Regulatory network analysis), which leverages a suite of perturbative, mapping, and imaging approaches, combined with machine learning and Genome-Wide Association Study (GWAS) analysis to systematically and quantitatively anatomize the enhancer epistasis network. Applying the framework to the MYC locus, we revealed a hierarchical two-layer epistasis model and defined a class of synergistic regulatory elements (SREs) which can maintain both high expression and robustness upon perturbation. Via machine learning, we identified and validated that two features, spatial contacts and BRD4 coactivator condensation, are major factors in maintaining the synergistic interactions of SREs. We used SEER to predict the synergistic functions of non-coding variants in SREs for their clinical risks in cancer and autoimmune disorders. The SEER framework provides a novel approach and theory for delineating roles of the massive enhancer network in gene regulation and interpreting non-coding variants for clinical risks in complex diseases.
ORGANISM(S): Homo sapiens
PROVIDER: GSE160768 | GEO | 2022/08/12
REPOSITORIES: GEO
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