Program in Quantitative Genomics
The Program in Quantitative Genomics (PQG) develops and applies quantitative methods to help handle massive genetic, genomic, and health data. Based in the Harvard Chan School and Longwood Medical Area, its goal is to improve health through the interdisciplinary study of genetics, behavior, environment, and health.
255 Huntington Ave
Building 2, 4th floor
Boston, MA 02115
Decoding Brain Disease Heterogeneity through Population-Scale Multimodal Genomics
Brain disorders arise from genetic and environmental perturbations that act within specific cell types and regulatory programs, yet connecting these molecular effects to disease heterogeneity and clinically meaningful outcomes remains challenging. I will present population-scale, multimodal approaches that integrate single-nucleus transcriptomic and epigenomic data with human genetics, neuropathology, and clinical phenotypes across thousands of donors. Drawing on the PsychAD and GENESIS programs, I will describe computational frameworks for harmonizing large single-cell datasets, mapping genetic risk to disease-relevant cell types and regulatory networks, and developing genetically informed models applicable to large clinical cohorts. These studies illustrate how multimodal genomics and AI can move beyond descriptive cellular atlases toward models of cellular vulnerability and resilience, ancestry-aware molecular prediction, patient stratification, and therapeutic prioritization.