Genetic Characterization of Movement Disorders and Dementias
- PI
- Singleton, Andrew
- DAR ID
- 10394
- Initial Approval Date
- January 5, 2022
- Current DAR Status
- Expired
- PI Institution
- National Institute on Aging
- PI Institution Country
- United States
- PI Institution Type
- Non-Profit
Requested Datasets (5)
NG00067Alzheimer's Disease Sequencing Project Umbrella StudyNG00108Profiling microglia expression profiles in AD using single-nuclei RNA-seqNG00113Metabolomic and lipidomic signatures in Alzheimer disease brainsNG00114DNA Methylation in Alzheimer disease brainsNG00119Health and Retirement Study Genotype Data 2006-2012
Research Use Statement
The goal of this project is to utilize standard genetics tools and ensemble/deep learning methods to predict/classify the etiological aspects of Alzheimer's disease and other neurodegenerative diseases based on genetic data and genomic data (including individual level data e.g. genotype and sequencing data, transcriptomic, and epigenomics data, and also by the use of summary statistics). Our primary phenotypes of interest include case:control status, age at onset, survival time (in terms of disease duration from diagnosis to loss to follow-up) and related biomarker data, although there may be other phenotypes of interest that are derived later based on available data.
Non-Technical Summary
We are attempting to identify and predict risk of Alzheimer's disease and other neurodegenerative diseases based on genetic and genomic data using standard tools and advanced machine-learning methods.
Reported Publications
Publications shown are those reported by investigators through NIAGADS DAR reporting and renewal processes and may not represent a complete list of publications associated with the project.
No publications have been reported for this DAR.