Genome-wide assessments of inflammatory markers and interpretable polygenic risk score for cardiometabolic disease
Dr. Liming Liang is a statistical geneticist with expertise and intensive experience in a variety of large-scale high dimensional omics studies for complex diseases and traits, including genome-wide association studies (GWAS), disease mapping using gene expression, and DNA methylation, metabolomics analyses for complex disease etiology and prediction. His research is focused on developing and applying computational and statistical tools required for understanding the human genome, epigenome, transcriptome, and metabolome, with a particular focus on chronic diseases.