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

TWAS-GKF: a novel method for causal gene identification in transcriptome-wide association studies with knockoff inference.

Bioinformatics (Oxford, England) - 2 Aug 2024

Wang Anqi, Tian Peixin, Zhang Yan Dora

Abstract excerpt

MOTIVATION: Transcriptome-wide association study (TWAS) aims to identify trait-associated genes regulated by significant variants to explore the underlying biological mechanisms at a tissue-specific level. Despite the advancement of current TWAS methods to cover diverse traits, traditional approaches still face two main challenges: (i) the lack of methods that can guarantee finite-sample false discovery rate...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Gene Expression Profiling
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Schizophrenia

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 39189955
DOI: 10.1093/bioinformatics/btae502
PMCID: PMC11361808

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

TWAS-GKF: a novel method for causal gene identification in transcriptome-wide association studies with knockoff inference.PMID 39189955Read ↗

Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studiesSemantic proximity Read ↗

GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies.Semantic proximity Read ↗

Identification of putative causal loci in whole-genome sequencing data via knockoff statistics.Semantic proximity Read ↗

Knockoff procedure improves susceptibility gene identifications in conditional transcriptome-wide association studies.Semantic proximity Read ↗

Identification of putative causal loci in whole-genome sequencing data via knockoff statisticsSemantic proximity Read ↗

kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.Semantic proximity Read ↗

kTWAS: Integrating kernel-machine with transcriptome-wide association studies improves statistical power and reveals novel genesSemantic proximity Read ↗

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

Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics.Semantic proximity Read ↗

CIT-Lasso: a scalable approach beyond guilty by association for identifying causal variants from genome-wide summary statistics.Semantic proximity Read ↗

BIGKnock: fine-mapping gene-based associations via knockoff analysis of biobank-scale data.Semantic proximity Read ↗

Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain.Semantic proximity Read ↗

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