Her main research area is statistical genetics. In particular, she is interested in developing statistical methods and computational tools for identifying and characterizing genetic variants that influence susceptibility to complex diseases. Her methodological work includes identifying SNPs responsible for a linkage signal by joint modeling of linkage and association, developing unified statistical framework for association analysis of sibship data and unrelated cases and controls, and developing variance-components linkage and association analysis methods for non-normally distributed quantitative traits. Much of her recent research is focused on evaluating and improving power for genome-wide association studies. Results from her methodological research will directly benefit genetic studies of cardiovascular disease and related traits.