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: | Jan Krumsiek |
| Institution: | Weill Cornell Medicine |
| Department: | Institute of Computational Biomedicine |
| Country: | |
| Proposed Analysis: | We will apply and extend a newly developed algorithm for the identification of molecular subgroups in omics data. This will identify homogenous subgroups within the ADNI cohort with a common signature across multiple metabolomics platforms. These subgroups are then automatically associated with AD-related (endo-) phenotypes to identify groups that stand out from a clinical point-of-view. We have previously used this methodology to identify patient subgroups of poor survival from multi-omics data in The Cancer Genome Atlas (results unpublished). This method will be extended to automatically identify complex, nested patient stratifications. As a hypothetical example result, the methods could identify a metabolomics subgroup of poor outcome AD samples only within a subgroup of obese/lean, young/old, or females/males. The project is a collaboration with Rima Kaddurah-Daouk from Duke university |
| Additional Investigators | |
| Investigator's Name: | Richa Batra |
| Proposed Analysis: | ROS/MAP blood/brain metabolomics associations with AD pathology. |
| Investigator's Name: | Zeyu Wang |
| Proposed Analysis: | Research associate in Krumsiek lab. Performs data preprocessing and automated data analysis. |
