Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

PLoS computational biology - 1 Jul 2023

Baur Brittany, Shin Junha, Schreiber Jacob, Zhang Shilu, Zhang Yi, Manjunath Mohith, Song Jun S, Stafford Noble William, Roy Sushmita

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 and the cell type context in which regulatory variants operate are typically unknown. Cell-type-specific long-range regulatory interactions that occur between a distal regulatory sequence and a gene offer a powerful framework for examining the impact of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Epigenome
Share to Epigenomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genetic Predisposition to Disease

Share to Genome

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 37428809
DOI: 10.1371/journal.pcbi.1011286
PMCID: PMC10358954

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation.PMID 37428809Read ↗

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variationSemantic 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 ↗

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

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

GWAS4D: multidimensional analysis of context-specific regulatory variant for human complex diseases and traits.Semantic proximity Read ↗

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

Regulatory landscape enrichment analysis (RLEA): a computational toolkit for non-coding variant enrichment and cell type prioritization.Semantic proximity Read ↗

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

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

⌁Select a neighboring publication to make it the new centre.