Research Highlights

1. High-dimensional variable screening, selection and categorization with multiple studies

2. Big data (multi-omics data, neuroimaging and genetic data) integration

3. Post-GWAS statistical genetic methods (e.g. fine mapping, Polygenic risk score (PRS), Mendelian randomization (MR) based causal inference, Transcriptome wide association analysis (TWAS)).

4. Cross species resemblance analysis of genomic response.

5. Meta-analysis of multiple transcriptomic studies