Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases
Sai Zhang, Hantao Shu, Jingtian Zhou, Jasper Rubin-Sigler, Xiaoyu Jenny Yang, Yuxi Liu, Johnathan Cooper‐Knock, Emma Monte, Chenchen Zhu, Sharon Tu, Han Li, Mingming Tong, Joseph R. Ecker, Justin K. Ichida, Yin Shen, , Michael P. Snyder
This paper introduces scPRS, a deep learning model that deconvolves polygenic risk scores at the single-cell level to uncover cellular and molecular disease mechanisms in complex human diseases.
bioRxiv · May 14, 2024 · PreprintGenetics