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: | Arvis Sulovari |
| Institution: | Cajal Neuroscience |
| Department: | Computational Biology |
| Country: | |
| Proposed Analysis: | Dear Data Publication and Sharing Committee, I am a Senior Scientist (Computational Genetics Lead) at a new company in Seattle that is focusing on Neurodegenerative Disorders. I recently finished my postdoctoral training at the University of Washington School of Medicine under the mentorship of Dr. Evan Eichler. The scope of this application is to identify genetic markers that associate with different patient subgroups within ADNI. We are particularly interested in the ADNI dataset because of its imaging data: sMRI, dMRI, fMRI, and PET. We will use this rich brain imaging dataset to define distinct groups of patient populations, followed by genome-wide and targeted genotype-phenotype associations across the patient subgroups. Our expectation is that such analyses would help us develop novel therapeutic hypotheses. Please feel free to contact me if you have any additional inquiries. Thank you, Arvis Sulovari |
| Additional Investigators | |
| Investigator's Name: | Jennifer Luyapan |
| Proposed Analysis: | Dr. Luyapan is a scientist in the Computational Biology team at Cajal Neuroscience. She will use statistical genetics approaches to identify mutations that are likely to be causal for AD. |
| Investigator's Name: | Jake Gockley |
| Proposed Analysis: | Doctor Gockley is a Senior Scientist in the Computational Biology department at Cajal Neuroscience. He will use his expertise in transcriptome-wide association studies (see Gockley et al., Genome Medicine 2021) to infer gene expression of ADNI samples using orthogonal brain-specific cis-eQTL weights. |
