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Article

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies.

PLoS genetics - 1 Sept 2026

Canida Travis, Ye Zhenyao, Wang Shao-Hsuan, Huang Hsin-Hsiung, Pan Yezhi, Liang Menglu, Chen Shuo, Ma Tianzhou

Abstract excerpt

Transcriptome-wide association studies (TWAS) integrate genome wide association studies with expression quantitative trait locus reference panels to identify genes associated with traits of interest. However, linkage disequilibrium and correlated gene expression can induce spurious TWAS signals, motivating fine mapping methods to prioritize putatively causal genes within associated loci. The rapid growth of...

Read the complete abstract on PubMed

Topics

Genome-Wide Association Study
Bayes Theorem
Quantitative Trait Loci
Phenotype
Humans
Transcriptome

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

Chromosome Mapping

Phenomics

Linkage Disequilibrium

Gene Expression Profiling

Source

Open in PubMed Open full text

Identifiers

PMID: 42709879
DOI: 10.1371/journal.pgen.1012126
PMCID: PMC13581217

Genes

GPT
ARL17B
BCAS3
UBB

Provenance

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