Tuomo Kiiskinen

Univariate-guided sparse regression for Biobank-scale high-dimensional omics data

We present a scalable framework for computing polygenic risk scores (PRS) in high-dimensional genomic settings using the recently introduced Univariate-Guided Sparse Regression (uniLasso). UniLasso is a two-stage penalized regression procedure that leverages univariate coefficien...