Article

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

2021-08-30

Abstract excerpt

Understanding the impact of regulatory variants on complex phenotypes is a significant challenge because the genes and pathways that are targeted by such variants are typically unknown. Furthermore, a regulatory variant might influence a particular gene’s expression in a cell type or tissue-specific manner. Cell-type specific long-range regulatory interactions that occur between a distal regulatory sequence and a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 381e27c5-9fa0-5488-9adf-36f6280c506c
DOI: 10.1101/2021.08.29.458098

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variationDOI 10.1101/2021.08.29.458098Read

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation.Semantic proximity Read

Discover novel disease-associated genes based on regulatory networks of long-range chromatin interactions.Semantic proximity Read

Hi-GREx: A 3D Genome–Guided Framework for enhancing Gene Expression Prediction Using Hi-C–Selected Distal SNPsSemantic proximity Read

Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases.Semantic proximity Read

Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissectionSemantic proximity Read

Leverage Large-Scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning.Semantic proximity Read

Modeling Regulatory Network Topology Improves Genome-Wide Analyses of Complex Human TraitsSemantic proximity Read

scRiskDB: a single-cell epigenomic resource linking complex traits to regulatory mechanisms across human tissues.Semantic proximity Read

SCRIPT: predicting single-cell long-range <i>cis</i> -regulation based on pretrained graph attention networksSemantic proximity Read

Graph-based data integration predicts long-range regulatory interactions across the human genomeSemantic proximity Read

Epigenomic regulatory programs reveal the latent heterogeneity of complex diseasesSemantic proximity Read

Modeling regulatory network topology improves genome-wide analyses of complex human traits.Semantic proximity Read