There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Michael Lutz |
| Institution: | Duke University School of Medicine |
| Department: | Neurology |
| Country: | |
| Proposed Analysis: | Genome-wide association studies (GWAS) based on meta-analysis of large pooled studies have produced extensive lists of variants associated with late-onset Alzheimer’s disease (LOAD). However, translation of this data into new clinical applications, or biochemical targets with defined mechanisms that are appropriate drug intervention points, lags behind. Most GWAS-identified variants for LOAD with the exception of APOE have a relatively weak association with disease (OR 0.9 – 1.2), and the biological function of the variants is unclear. This research will utilize bioinformatics methods and gene expression profiling data to investigate causal regulatory variants associated with the risk of developing MCI or AD. Two published bioinformatics methods (preferential linkage disequilibrium and localization of a minimal region containing a causal variant) developed to prioritize causal variants based on published GWAS data and a novel database of regulatory variation will be used to interrogate specific genomic regions associated with MCI and AD. The ADNI data will be used to provide a cohort of LOAD cases and controls for these analytical methods. Significant results may be followed up with laboratory work to investigate gene expression in brain tissue from Alzheimer's patients and normal controls. |
| Additional Investigators |
