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

InTACT: An adaptive and powerful framework for joint-tissue transcriptome-wide association studies.

Genetic epidemiology - 1 Dec 2021

Bae Ye Eun, Wu Lang, Wu Chong

Abstract excerpt

Transcriptome-wide association studies (TWAS) that integrate transcriptomic reference data and genome-wide association studies (GWAS) have successfully enhanced the discovery of candidate genes for many complex traits. However, existing methods may suffer from substantial power loss because they fail to effectively consider that expression of many genes tends to be consistent across tissues. Here we propose a...

Read the complete abstract on PubMed

Topics

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

Share to Genome-Wide Association Study
Share to Models, Genetic
Share to Multifactorial Inheritance

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 34255882
DOI: 10.1002/gepi.22425
PMCID: PMC8604767

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 11 closest

InTACT: An adaptive and powerful framework for joint-tissue transcriptome-wide association studies.PMID 34255882Read ↗

Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies.Semantic proximity Read ↗

Multiple-Tissue Integrative Transcriptome-Wide Association Studies Discovered New Genes Associated With Amyotrophic Lateral SclerosisSemantic proximity Read ↗

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 93 risk genes for Alzheimer’s disease dementiaSemantic proximity Read ↗

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer's disease dementia.Semantic proximity Read ↗

Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer's dementia.Semantic proximity Read ↗

A-TWAS: An aggregated transcriptome-wide association study model incorporating multiple Bayesian priorsSemantic proximity Read ↗

Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementiaSemantic proximity Read ↗

Tensor decomposition of multi-dimensional splicing events across multiple tissues to identify splicing-mediated risk genes associated with complex traits.Semantic proximity Read ↗

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

A fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data.Semantic proximity Read ↗

Transcriptome and plasma proteome analyses identify susceptibility genes and proteins for alcohol-related hepatocellular carcinoma.Semantic proximity Read ↗

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