BS, Biology and Statistics, Seoul National University, 2005
PhD, Biostatistics, University of North Carolina, 2010
Seunggeun (Shawn) Lee is an Associate Professor in the Department of Biostatistics. He received his PhD in Biostatistics from the University of North Carolina at Chapel Hill and completed postdoctoral training at Harvard School of Public Health. His research focuses on developing statistical and computational methods for the analysis of large-scale, high-dimensional genomic data, which is essential to better understand the genetic architecture of complex diseases and traits.
Genetic association analysis of Biobank data
Genetics / Genomics / other OMICS
- A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis
- Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT)
- Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data