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: | Daniel Felsky |
| Institution: | Centre for Addiction and Mental Health |
| Department: | Krembil Centre for Neuroinformatics |
| Country: | |
| Proposed Analysis: | We would like to further previous work from our group on the genetic basis for neuroinflammatory processes in the brain, specifically through polygenic analyses using GWAS summary data from analyses of the proportion of active microglia measured in postmortem human cortex. We have several primary hypotheses, including: A) microglial activation polygenic risk will be associated with levels of amyloid brain pathology measured in vivo with PET and in CSF, B) the presence of high polygenic risk for postmortem microglial activation will be associated with diagnosis and change in cognitive status over time, and C) the relationship between canonical pathological measures of Alzheimer's disease with cognitive decline will be influenced by polygenic risk for microglial activation in stratified analyses. Secondarily, we will preform network-based analyses of structural neuroimaging data to identify specific brain regions that may be morphologically affected by propensity for microglial activation measured by genetics. We also plan to incorporate medication use and other more peripheral measures, such as vital signs, physical examination, and other elements of medical history, to understand any correlates and modifiers of our microglial scores. |
| Additional Investigators | |
| Investigator's Name: | Earvin Tio |
| Proposed Analysis: | Mr. Tio’s research focus is primarily on testing the first hypothesis which theorises that microglial activation is associated with amyloid brain pathology indicative of AD. To that end, we have obtained some preliminary results indicating association in specific brain regions. Recent results indicate that microglial activation PRSs in the interior-temporal lobe showed positive association with a number of AD markers, however there was large variability in PRS results in other brain regions. To that end, Mr. Tio will work on standardising the PRS score calculation in order to validate the initial results in other clinical datasets. |
| Investigator's Name: | Mu Yang |
| Proposed Analysis: | Mr. Yang is looking at multi-omic data from a number of studies in order to ultimately categorise individuals on their cognitive function and aging status. He will be integrating the ADNI subject group into a wider dataset that integrates multiple data types from similar longitudinal studies in order to subtype individuals’ aging status and cognitive functions. Microglial activation expression data will be integrated into the model that will ultimately generate the cognitive function subtypes. |
| Investigator's Name: | Timothy Hohman |
| Proposed Analysis: | Dr. Hohman will provide assistance to our group on the analysis of cross-cohort harmonized datasets, as well as with imputation of ADNI genotype data. The cross-cohort harmonized data analysis includes ADNI and ROS/MAP. All investigators listed on our approved project are also fully approved for data access with ROS/MAP. |
