Yanyan Zhao

A Federated and Privacy-Preserving Framework for Large-Scale Genome-Wide Association Studies with Mixed-Effects Models

This paper develops a federated framework for GWAS using mixed-effects models to enable privacy-preserving analysis across distributed datasets while maintaining statistical accuracy.

On set-based association tests: insights from a regression using summary statistics

The paper introduces a summary statistics-based regression framework for set-based association tests, improving power through precision matrix transformation and demonstrating its effectiveness via simulations and applications.