Discover Community Create You

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

3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk.

Epigenetics & chromatin - 30 Jun 2022

Liu Ning, Sadlon Timothy, Wong Ying Y, Pederson Stephen, Breen James, Barry Simon C

Abstract excerpt

BACKGROUND: Genome-wide association studies (GWAS) have enabled the discovery of single nucleotide polymorphisms (SNPs) that are significantly associated with many autoimmune diseases including type 1 diabetes (T1D). However, many of the identified variants lie in non-coding regions, limiting the identification of mechanisms that contribute to autoimmune disease progression. To address this problem, we developed...

Read the complete abstract on PubMed

Topics

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

Share to Diabetes Mellitus, Type 1
Share to Epigenesis, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to T-Lymphocytes, Regulatory

Source

Open in PubMed Open full text

Identifiers

PMID: 35773720
DOI: 10.1186/s13072-022-00456-5
PMCID: PMC9244893

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk.PMID 35773720Read ↗

3DFAACTS-SNP: Using Regulatory T Cell-specific Epigenomics Data to Uncover Candidate Mechanisms of Type-1 Diabetes (T1D) riskSemantic proximity Read ↗

3DFAACTS-SNP: Using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of Type-1 Diabetes (T1D) riskSemantic proximity Read ↗

A comprehensive integrated post-GWAS analysis of Type 1 diabetes reveals enhancer-based immune dysregulation.Semantic proximity Read ↗

Integrative epigenomic and transcriptomic profiling reveals dysregulated T cell regulatory networks in Stage 3 Type 1 diabetesSemantic proximity Read ↗

Type 1 Diabetes Mellitus-Associated Genetic Variants Contribute to Overlapping Immune Regulatory NetworksSemantic proximity Read ↗

Large-scale genetic association and single cell accessible chromatin mapping defines cell type-specific mechanisms of type 1 diabetes riskSemantic proximity Read ↗

Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes.Semantic proximity Read ↗

Type 1 diabetes mellitus-associated genetic variants contribute to overlapping immune regulatory networksSemantic proximity Read ↗

Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetesSemantic proximity Read ↗

3D chromatin-based variant-to-gene maps across 57 human cell types reveal the cellular and genetic architecture of autoimmune disease susceptibility.Semantic proximity Read ↗

Rare Non-coding Variation Identified by Large Scale Whole Genome Sequencing Reveals Unexplained Heritability of Type 2 DiabetesSemantic proximity Read ↗

Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cellsSemantic proximity Read ↗

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