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

Transcriptome-Wide Association Studies (TWAS): Methodologies, Applications, and Challenges.

Current protocols - 1 Feb 2024

Evans Patrick, Nagai Taylor, Konkashbaev Anuar, Zhou Dan, Knapik Ela W, Gamazon Eric R

Abstract excerpt

Transcriptome-wide association study (TWAS) methodologies aim to identify genetic effects on phenotypes through the mediation of gene transcription. In TWAS, in silico models of gene expression are trained as functions of genetic variants and then applied to genome-wide association study (GWAS) data. This post-GWAS analysis identifies gene-trait associations with high interpretability, enabling follow-up...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Quantitative Trait Loci

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 38314955
DOI: 10.1002/cpz1.981
PMCID: PMC10846672

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

Transcriptome-Wide Association Studies (TWAS): Methodologies, Applications, and Challenges.PMID 38314955Read ↗

Transcriptome-wide association studies: recent advances in methods, applications and available databases.Semantic proximity Read ↗

An alternative framework for transcriptome-wide association studies to detect and decipher gene-trait associationsSemantic proximity Read ↗

Transcriptome-wide association studies: opportunities and challengesSemantic proximity Read ↗

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies.Semantic proximity Read ↗

webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study.Semantic proximity Read ↗

Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.Semantic proximity Read ↗

Enhancing Disease Risk Gene Discovery by Integrating Transcription Factor-Linked Trans-located Variants into Transcriptome-Wide Association AnalysesSemantic proximity Read ↗

Statistical power of transcriptome-wide association studies.Semantic proximity Read ↗

METRO: Multi-ancestry transcriptome-wide association studies for powerful gene-trait association detection.Semantic proximity Read ↗

rvTWAS: identifying gene-trait association using sequences by utilizing transcriptome-directed feature selection.Semantic proximity Read ↗

CATaN maps gene regulatory programs that shape genetic risk across complex diseasesSemantic proximity Read ↗

Multiome-wide Association Studies: Novel Approaches for Understanding Diseases.Semantic proximity Read ↗

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