Back to search

Article

A Pseudotime-Dependent TWAS Framework Identifies Disease Genes along Cell Developmental Paths

2025-10-29

Abstract excerpt

Transcriptome-wide association studies (TWAS) link genes to disease risk by integrating gene expression with genome-wide association study (GWAS) data, where the use of bulk-tissue expression data typically provides gene-disease association interpretations at tissue levels. Recently, the increasing availability of single-cell gene expression profiles provides an opportunity to to dissect these associations at fine...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cdd5ca8b-cf9d-515c-847e-4da6c7c10b11
DOI
10.1101/2025.10.28.25338929
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Pseudotime-Dependent TWAS Framework Identifies Disease Genes along Cell Developmental PathsDOI 10.1101/2025.10.28.25338929
Select a neighboring publication to make it the new centre.