Our research is dedicated to understanding the genetics of Alzheimer’s disease and related disorders. We utilize functional genomics and bioinformatics tools to analyze publicly available cohort and population data.
Specifically, our lab employs a multi-modal, big-data approach that integrates genetics, multi-omics, brain imaging (MRI and PET), endophenotypes, clinical findings, and histopathological data. This holistic approach ensures we capture the full spectrum of biologically relevant information to deepen our understanding of the disease.
Our primary goal is to identify novel genetic risk variants for Alzheimer’s disease and elucidate their molecular mechanisms. This knowledge will inform drug development and advance the field of personalized genetic medicine.
We tackle these challenges from three fundamental perspectives:
Investigating sex dimorphism in Alzheimer’s disease genetics. This involves exploring the role of sex chromosomes and conducting omics-driven research to make novel discoveries.
Understanding the influence of ancestry on Alzheimer’s disease genetics. Our focus here is on pinpointing both ancestry-specific risk factors as well as identifying genetic risk factors consistent across different ancestries.
Merging brain imaging with genetic and multi-omics data to examine disease heterogeneity and resilience. This will help identify novel drug targets for resilience to Alzheimer’s disease and brain aging generally.
The Belloy Lab is part of the Neurogenomics and Informatics (NGI) Center