Ruilin Li

Genetics of cardiometabolic disease progression

The paper develops a method to identify genetic predictors of cardiometabolic disease progression using time-to-event data from the UK Biobank, finding ten polygenic hazard scores that significantly predict disease progression.

Significant Sparse Polygenic Risk Scores across 813 traits in UK Biobank

The paper develops sparse polygenic risk scores for 813 traits using UK Biobank data, showing significant predictive performance and a correlation between variant count and performance.

Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks

The paper develops efficient solvers for large-scale regularized regressions on genetic data, reducing memory usage and improving computational speed.

Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression

The paper introduces a group-regularized Cox regression method for survival analysis of rare events using common responses, showing improved prediction performance on UK Biobank data.

Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank

The paper develops a scalable sparse reduced-rank regression method for high-dimensional multitask learning, applied to UK Biobank data to generate polygenic risk scores.