Article
Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases
2024-05-14
Abstract excerpt
Polygenic risk scores (PRSs) are commonly used for predicting an individual's genetic risk of complex diseases. Yet, their implication for disease pathogenesis remains largely limited. Here, we introduce scPRS, a geometric deep learning model that constructs single-cell-resolved PRS leveraging reference single-cell chromatin accessibility profiling data to enhance biological discovery as well as disease prediction...
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Identifiers and source
- Literature Corpus work
- ab80748a-bfc8-5bea-b775-adebe499b0c6
- DOI
- 10.1101/2024.05.14.594252
