Back to search

Article

Systematic prioritization of candidate genes in disease loci identifies <i>TRAFD1</i> as a master regulator of IFNγ signalling in celiac disease

2020-03-05

Abstract excerpt

<h4>Background</h4> Celiac disease (CeD) is a complex T cell–mediated enteropathy induced by gluten. Although genome-wide association studies have identified numerous genomic regions associated with CeD, it is difficult to accurately pinpoint which genes in these loci are most likely to cause CeD. <h4>Results</h4> We used four different in silico approaches – Mendelian Randomization inverse variance weighting,...

Topics

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

Identifiers and source

Literature Corpus work
6d38a635-c8cc-5902-aa7d-cc49e51d76d7
DOI
10.1101/2020.03.04.973487
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Systematic prioritization of candidate genes in disease loci identifies <i>TRAFD1</i> as a master regulator of IFNγ signalling in celiac diseaseDOI 10.1101/2020.03.04.973487
Systematic Prioritization of Candidate Genes in Disease Loci Identifies TRAFD1 as a Master Regulator of IFNγ Signaling in Celiac DiseaseSemantic proximity
Integrative multi-omic analyses identify candidate targets for celiac disease involving tissue-specific regulationSemantic proximity
Integrative multi-omic analyses identify candidate targets for celiac disease involving tissue-specific regulationSemantic proximity
Unlocking New Treatment Horizons for Celiac Disease: PRKCD Revealed as a Promising Target through Mendelian RandomizationSemantic proximity
Systematic annotation of celiac disease loci refines pathological pathways and suggests a genetic explanation for increased interferon-gamma levels.Semantic proximity
Integrative Transcriptomics and Machine Learning Identify Key Predictive Genes and Pathways in Celiac DiseaseSemantic proximity
Exploring celiac disease candidate pathways by global gene expression profiling and gene network cluster analysisSemantic proximity
Artificial Intelligence Analysis of Celiac Disease Using an Autoimmune Discovery Transcriptomic Panel Highlighted Pathogenic Genes including BTLASemantic proximity
Whole genome transcriptional analysis of intestinal biopsies and blood cells indicate genes involved in antioxidant defense systems and antigen presentation in the pathogenesis of celiac diseaseSemantic proximity
Multitissue Multiomics Integration Reveals Tissue-Specific Pathways, Gene Networks, and Drug Candidates for Type 1 DiabetesSemantic proximity
Improved integrative framework combining association data with gene expression features to prioritize Crohn's disease genes.Semantic proximity
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease.Semantic proximity
Select a neighboring publication to make it the new centre.