Our research aims to develop computational approaches to gain biological or clinical insights into human disease. Using genetic variation as a foundation, in particular “high impact” variants from large-scale sequencing studies, we hope to shed insight into genes, disease processes, and experimental manipulations that could one day lead to improved treatments or patient care.

Association studies for complex disease
To identify novel loci or genes associated with type 2 diabetes and other complex diseases, we participate in the analysis of genetic association studies, particularly those that use next-generation sequencing, Via new methods for genetic architecture simulation, we have shown that the genetic basis of type 2 diabetes is due predominantly to common variants.