Project Grant R01AG086467
Award Date 8/5/25
Completion Date 7/31/30
Dollars Obligated $3.6M
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
New York, USA
Similar Awards
- This federal Project Grant award for $528,876, provided by the National Institute on Aging (CFDA 93.866 Aging Research), supports research to investigate the cis- and trans-genetic regulation of brain transcriptomics and proteomics associated with Alzheimer's disease (AD) and AD-related dementias (ADRD). The key goals of the project are to: Estimate genome-wide cis- and trans-acting quantitative trait loci (QTLs) effects for transcriptome-wide genes and proteome-wide proteins across 4 brain...
- This $1,221,276 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) supports the "In Vivo Single-Cell Analysis of Alzheimer's Disease-Associated Regulatory Elements" research project at the University of North Carolina at Chapel Hill. The project aims to develop a novel genomic platform called Single-Cell Massively Parallel Reporter Assays (SCMPRA) to investigate how Alzheimer's disease-associated regulatory elements orchestrate gene expression...
- This federal Project Grant award of $839,933 from the National Institute on Aging (CFDA 93.866 - Aging Research) will support research to investigate the role of N6-methyladenosine (m6A) RNA modifications in microglial dysfunction and Alzheimer's disease (AD) pathogenesis. The project aims to systematically map m6A modification landscapes in microglia isolated from human brain tissue and human induced pluripotent stem cell-derived microglial models. The researchers will also use CRISPR-based...
- This federal Project Grant award of $2,316,710 from the National Institute on Aging (CFDA 93.866 Aging Research) aims to develop magnetogenetic techniques for manipulating the activity of specific brain cell types implicated in the onset and progression of Alzheimer's disease (AD). The research will focus on using a magnetogenetic tool called FERIC (Ferritin Iron Redistribution to Ion Channels) in combination with enhancer AAV vectors to non-invasively control the activity of AD-vulnerable...
- This Project Grant award of $762,636 from the National Institute on Aging (CFDA 93.866 - Aging Research) supports research by The Leland Stanford Junior University to develop interpretable machine learning (ML) methods for analyzing the genetics of Alzheimer's disease (AD). The objective is to discover causal genetic variants that could lead to new AD therapies. The work involves pairing rigorous feature selection in ML with causal inference to identify genetic variants that influence AD risk,...
- This federal Project Grant award of $372,690, provided by the National Institute on Aging (CFDA 93.866 Aging Research), aims to comprehensively understand the heterogeneous causal pathophysiology of Alzheimer's disease (AD). The key objectives are to: (1) develop new statistical methods for uncovering heterogeneous causal relationships among amyloid-beta, tau accumulation, and cognition across diverse AD datasets; (2) apply these methods to reveal optimal treatment windows and target populations...
- This $6,925,230 Project Grant award from the National Institutes of Health (NIH) National Institute on Aging (CFDA 93.866 - Aging Research) will support a research project at The Trustees of Columbia University in the City of New York to develop a "Multi-Organ Chart of Personalized Susceptibility to Alzheimer's Disease and Aging." The overarching goal is to use large-scale multi-omics, multi-organ biomedical data, advanced artificial intelligence/machine learning, and computational...
- This $2,151,878 federal Project Grant award, funded by the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866), supports research at the University of North Carolina at Chapel Hill (UNC-CH) and its subrecipient, the University of Pennsylvania, to map the causal genetic-imaging-clinical pathway for Alzheimer's disease (AD). The key products and services to be delivered through this 3-year project include: Developing robust functional connectome analysis and causal...
- This federal Project Grant award of $3,188,901.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to better understand the relationships between in-vivo biomarkers for amyloid, tau, and neurodegeneration (ATN), neuropsychiatric symptoms, vascular risk factors, and genetic risks in Alzheimer's disease. The study will leverage data from large research cohorts like the Alzheimer's Disease Neuroimaging Initiative to develop and optimize machine learning models that can...
- This $1,012,879 Project Grant was awarded by the National Institute on Aging (CFDA 93.866 - Aging Research) to New York University (NYU) to develop three novel statistical machine learning methods for Alzheimer's disease (AD) research using multi-view imaging, genomic, and clinical data. The specific aims include: 1) developing a multi-view data decomposition method to construct brain and genomic networks across AD statuses, 2) developing an optimal false discovery rate control method to...