The Carter Lab uses large-scale data to strengthen the interface between experimental systems and common disease in humans. We develop computational methods to analyze genetic architecture, design translatable studies of model systems, perform data alignment to precisely quantify disease relevance, and share data through open science platforms. Our primary focus is leveraging genetic and genomic data to identify and test potential treatments for Alzheimer’s disease. We are creating and characterizing new mouse and marmoset models to understand the origins and progression of dementia in molecular and pathophysiological detail, and using these models to assess diagnostic biomarkers and perform preclinical testing. Through this work, we are derisking molecular targets to accelerate the discovery of precise, targeted therapeutic approaches. We are embedded in a network of collaborative projects and centers including MODEL-AD, TREAT-AD, and MARMO-AD. By integrating knowledge and standardizing analytical strategies across these research consortia, we are maximizing the translational value of computational and experimental research.
