My research mainly lies in developing and applying statistical and system computational approaches to discover complex disease mechanisms, biomarkers and treatment targets by integrate large-scale biological “omics” data.
My research mainly focuses on genetic dissection of complex diseases using/developing the state-of-the-art multi- and inter-disciplinary approaches of genomic technologies, and statistical and bioinformatical methods. The approaches involve genome-wide association analyses, genome-wide transcriptome analyses, proteome-wide protein expression profiling, epigenetic profiling by various statistical methods, including e.g. data imputation, regularized regression, pathway analysis, fine mapping. I am also extending our research of complex diseases to systematically and accurately characterize complex disease. I am interested in developing novel statistical methods and bioinformatics tools for integrating large, complex multi-omics datasets (e.g. DNA-Seq, RNA-Seq) in research. e.g., I performed integration analysis for cancer at micro-RNA, mRNA, DNA methylation levels. In addition, I am interested in how to transfers knowledge from my basic research to clinical research.
Major depressive disorder (MDD) affects women approximately twice as often as men. Women are three times as likely to have atypical depression, with hypersomnia and weight gain. This suggests that the molecular mechanisms of MDD may differ by sex.