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: | Yuriko Katsumata |
| Institution: | University of Kentucky |
| Department: | Biostatistics |
| Country: | |
| Proposed Analysis: | To date, genome-wide association studies have identified a number of SNPs significantly associated with Alzheimer’s disease, but these SNPs typically have a small effect, indicating that individual SNPs have limited predictive power. Some statistical techniques have developed to aggregate the effects of SNPs across the genome. A polygenic risk score (PRS), which is one of the techniques, is an estimate of an individual genetic liability to a disease calculated as a sum of effect allele counts weighted by corresponding genotype effect size. In the proposed study, we will investigate associations of AD-related polygenic risk score (AD-PRS) calculated by biological pathways based on the GWAS summary statistics and clinical diagnosis of AD and CSF biomarkers. |
| Additional Investigators |
