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: | Linchen He |
| Institution: | New york university |
| Department: | Environmental Health |
| Country: | |
| Proposed Analysis: | The most commonly used association tests for GWAS such as the Cochran-Armitage Trend test (CATT) ignore the potential latent genetic heterogeneity in the GWAS data and suffer from efficiency loss. We have recently developed a likelihood ratio test that can utilize latent genetic heterogeneity (denoted by LRT-H). The LRT-H can be applied to the dataset to account for latent genetic heterogeneity. |
| Additional Investigators |
