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: | Jonathan Hess |
| Institution: | SUNY Upstate Medical University |
| Department: | Psychiatry |
| Country: | |
| Proposed Analysis: | Our aims is to perform a genome-wide gene expression mega-analysis on a combined sample collection of all publicly available cohorts comprising Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), and unaffected comparison subjects. The purpose of this analysis is to: (1) identify a robust gene expression signature of AD and MCI in postmortem brain tissue, (2) assess the similarity of brain-derived gene expression signatures for AD/MCI with signatures found in non-brain tissues (i.e., peripheral blood), and (3) to train and validate machine learning classifiers that accurately predict risk for developing AD or MCI based on identified gene expression signatures. We will use a pipeline that we previously used for harmonizing gene expression data across multiple cohorts/studies to identify gene signatures of schizophrenia (Hess et al., 2016, Schizophrenia Research) and autism (Tylee et al., 2016, AJMG:Part B Neuropsych Genet). We are requesting raw (non-normalized) genome-wide gene expression data and any laboratory/clinical characteristics of samples for use as covariates in our statistical analyses (e.g., disease status, age, gender, RNA quality, etc.). |
| Additional Investigators | |
| Investigator's Name: | Stephen Glatt |
| Proposed Analysis: | Stephen Glatt will be supervising the work proposed in this application. |
| Investigator's Name: | Ali Razavi |
| Proposed Analysis: | Shervin (Ali) is a graduate student of Dr. Hess, and will be assisting Drs. Glatt and Hess with the objectives of our approved proposal. |
