Develops computational strategies using genetic data to understand complex genetic systems involving multiple genes and environmental factors.
Contemporary technologies such as high-throughput genome sequencing now enable the measurement of biological systems with unprecedented scale, power and precision, creating the opportunity to decipher the genetics that underlie human diseases. The overall goal of our laboratory is to develop novel computational strategies that use these data to understand complex genetic systems in which multiple genes and environmental factors combine to affect biological outcomes. These methods aim to map complex genetic architecture and infer models that predict the outcomes of genetic and environmental variation. We derive network models of interacting genes, integrate disparate phenotypic and molecular data types, critically evaluate models with experimental tests, and seek to understand how biological information is encoded in genetic networks and genomic data.
The IU/JAX/Pitt MODEL-AD Center
Principal Investigator and Head of Bioinformatics and Data Management
NIA U54 AG054345, 2016-2027
Generation, Characterization, and Validation of Marmoset Models of Alzheimer’s Disease (Marmo-AD)
Program Director/Principal Investigator and Head of Bioinformatics and Data Integration
NIA U19 AG074866, 2022-2027
The Open Drug Discovery Center for Alzheimer’s Disease (TREAT-AD)
Principal Investigator and Head of Bioinformatics
NIA U54 AG065187, 2019-2024
Modeling the Genetic Interaction Between Klotho and APOE Alleles in Alzheimer's Disease
Principal Investigator
NIA RF1 AG075701, 2022-2027
Determining Genetic Interactors of Apolipoprotein E in Alzheimer’s disease
Principal Investigator
NIA RF1 AG055104, 2018-2023
Identification of Genetic and Genomic Variants by Next-Gen Sequencing in Nonhuman Animal Models
Co-Investigator
NIDA U01 DA051235, 2021-2026
Full Human Gene Replacement Mouse Models of Alzheimer's Disease
Co-Investigator
NIA RF1 AG079125, 2022-2027
Cancer Center Support
Co-Project Lead
NCI P30 CA034196, 2020-2025