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: | Jingchun Chen |
| Institution: | UNIVERSITY OF NEVADA LAS VEGAS |
| Department: | NIPM |
| Country: | |
| Proposed Analysis: | Alzheimer disease is the most common neurodegenerative disorder of the elderly affecting an estimated five million Americans. Genetic factors contribute to the risk for disease with heritability estimates ranging from 57% to 79%. In this study, we will integrate an artificial intelligence algorithm and large genetic and phenotypic data to develop a better prediction model for subtyping and classifying the disease. We will also try to identify genetic risk factors, biomarkers, or pathways specific to MCI and Alzheimer's disease. In addition, we will use the data to investigate the genetic correlation between Alzheimer's disease and other diseases, including Parkinson's disease, psychiatric disorders such as schizophrenia, bipolar disorders, major depressive disease, COVID19, etc. The overall goal is to identify genetic variants/biomarkers/pathways associated with Alzheimer's disease for better prediction, diagnosis, and treatment. |
| Additional Investigators |
