Skip to content

Zhao Lab

Summary

The Zhao Lab, led by Hongyu Zhao, is a computational biology and statistical genetics research group based at the Yale School of Public Health and the Yale School of Medicine. The lab focuses on the development and application of statistical and computational methods for genetic studies, including disease association studies, genome-wide association studies (GWAS) analysis, and polygenic risk score (PRS) methodology.

Research Focus

The lab develops methods for: - Polygenic Risk Prediction: Improving genetic risk scores across diverse populations using summary statistics (e.g., MIXPRS). - Multi-Ancestry Studies: Harmonizing genomic data across different ancestral cohorts to enhance the generalizability of genetic findings. - Machine Learning in Genomics: Applying deep learning and advanced statistical frameworks to parse complex multi-omic data.

Citations