Yun Ju Sung, PhD

Associate Professor, Psychiatry and Biostatistics

Dr. Sung has worked on several projects dealing with GWAS consortia, imputation of genotypes in various multi-ancestry family studies, analysis of sequence data, and analysis of rare variants using various statistical methods. To decipher the genetic and environmental architecture of cardiovascular disease traits, she worked on establishing the gene-lifestyle interactions working group within CHARGE and created robust infrastructure and analysis pipelines. Through gene-environment (GxE) interactions with six lifestyle factors (including smoking and physical activity) the group identified several loci showing biologic plausibility and clinical relevance for blood pressure and lipid homeostasis (Sung et al., American Journal of Human Genetics, 2018; Bentley et al., Nature Genetics 2019). Dr. Sung joined the NeuroGenomics and Informatics Center in 2020 and has worked on proteomics analysis using SOMAscan data to identify multi-tissue molecular signatures for Alzheimer disease (AD) and individuals with APP, PSEN1, PSEN2, and TREM2 risk variants.

Dr. Sung’s CV