qlu-lab

Cross-population weighting framework to improve genetic risk prediction in ancestrally diverse populations

Valid and Powerful Machine-Learning-Assisted Genetic Association Studies

Detecting and interpreting genetically-driven heterogeneous treatment effects.

Fine-tuning polygenic risk score models using GWAS summary statistics

An analytical approach for GWAS-by-Subtraction

Polygenic gene-environment (GxE) interactions inference

Task-agnostic machine-learning-assisted inference

A variance component analytical framework to control for genome-wide confounding effects in epidemiologic association studies.

post-prediction adaptive inference