A Federated and Privacy-Preserving Framework for Large-Scale Genome-Wide Association Studies with Mixed-Effects Models
Xiaowen Suo, Fuzhong Xue, Yanyan Zhao
This paper develops a federated framework for GWAS using mixed-effects models to enable privacy-preserving analysis across distributed datasets while maintaining statistical accuracy.
bioRxiv · Dec 19, 2025 · PreprintGenomics