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

Leveraging gene co-regulation to identify gene sets enriched for disease heritability.

American journal of human genetics - 3 Mar 2022

Siewert-Rocks Katherine M, Kim Samuel S, Yao Douglas W, Shi Huwenbo, Price Alkes L

Abstract excerpt

Identifying gene sets that are associated to disease can provide valuable biological knowledge, but a fundamental challenge of gene set analyses of GWAS data is linking disease-associated SNPs to genes. Transcriptome-wide association studies (TWASs) detect associations between the genetically predicted expression of a gene and disease risk, thus implicating candidate disease genes. However, causal disease genes...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Predisposition to Disease
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Multifactorial Inheritance

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 35108496
DOI: 10.1016/j.ajhg.2022.01.005
PMCID: PMC8948163

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Leveraging gene co-regulation to identify gene sets enriched for disease heritability.PMID 35108496Read ↗

Leveraging gene co-regulation to identify gene sets enriched for disease heritabilitySemantic proximity Read ↗

Modeling tissue co-regulation to estimate tissue-specific contributions to diseaseSemantic proximity Read ↗

Estimating the proportion of disease heritability mediated by gene expression levelsSemantic proximity Read ↗

Co-expression-wide association studies link genetically regulated interactions with complex traitsSemantic proximity Read ↗

Modeling tissue co-regulation estimates tissue-specific contributions to disease.Semantic proximity Read ↗

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell dataSemantic proximity Read ↗

Leveraging Gene Co-expression Patterns to Infer Trait-Relevant Tissues in Genome-wide Association StudiesSemantic proximity Read ↗

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data.Semantic proximity Read ↗

Gene co-expression analysis for functional classification and gene-disease predictions.Semantic proximity Read ↗

The molecular basis, genetic control and pleiotropic effects of local gene co-expressionSemantic proximity Read ↗

The molecular basis, genetic control and pleiotropic effects of local gene co-expression.Semantic proximity Read ↗

A powerful framework for differential co-expression analysis of general risk factorsSemantic proximity Read ↗

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