Return
Transcriptome-wide association studies at cell-state level using single-cell eQTL data
DOI:10.1016/j.xgen.2025.101060.png)
Abstract
En 中文
• TWiST captures cell states in single-cell TWAS analysis • Outperforms pseudobulk methods in statistical power • Flexible tests of global, dynamic, and nonlinear effects • Dynamic gene-autoimmune disease association along cell differentiation trajectory
Keywords:
transcriptome-wide association studies
single-cell eQTL
cell state
dynamic effect
autoimmune disease
genetics
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9
Papers:
668
Citations:
2.2K

