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Transcriptome-wide association studies at cell-state level using single-cell eQTL data

delete2025-11-03
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OA
AI
G
Guanghao Qi *
E
Eardi Lila
Z
Zhicheng Ji
A
Ali Shojaie
A
Alexis Battle
W
Wei Sun
DOI:10.1016/j.xgen.2025.101060delete
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Abstract

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
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Cell Genomics cover
Cell Genomics
IF:
9
Papers:
668
Citations:
2.2K

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D
Duke University
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6.3W
Papers: 5.7W
Citations: 6.5W
U
University of Washington
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F
Fred Hutchinson Cancer Center
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Johns Hopkins University
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