Data-driven Pharmacogenomics
Drug response varies substantially among individuals, with up to 50% of patients experiencing either a lack of therapeutic efficacy or adverse drug reactions. Our research focuses on understanding how genetic variation contributes to this variability in drug response, an interdisciplinary field known as Pharmacogenomics.Using data-driven approaches, our research group characterizes functional pharmacogenetic variation across ethnogeographic populations to better understand the genetic basis of population-specific risks of abnormal drug responses, develops machine learning methods to interpret the functional consequences of pharmacogenetic variants, identifies clinically relevant pharmacogenomic biomarkers using biobank and clinical genotyping/sequencing data, and integrates pharmacogenetic, functional, and structural information to advance precision therapeutics and pharmacogenomics-guided drug discovery.
Through these efforts, we aim to deepen the understanding of genetic determinants of drug response and support the implementation of precision medicine in both clinical practice and drug development.