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: | Vishal Sarsani |
| Institution: | Harvard T.H. Chan School of Public Health |
| Department: | Epidemiology |
| Country: | |
| Proposed Analysis: | Complex diseases result from a combination of genetic and environmental factors and are prevalent, such as diabetes and Alzheimer's, affecting millions of people worldwide. Consequently, they significantly burden public health systems, which is predicted to increase with the aging population. Therefore, it is essential to develop personalized treatment approaches, such as identifying new drug targets (i.e., drug repurposing) and biomarkers and improving patient stratification. By providing molecular profiles of disease-relevant cell types, the multi-omics data of primary human tissues can offer insights beyond what can be derived from genetic studies. This molecular information will be valuable in addressing the challenges of translational efforts for complex diseases. Incorporating omics data with GWAS findings has the potential to pinpoint target genes associated with risk variants by leveraging causal inference methods such as Mendelian randomization or colocalization approaches. This integration also enhances the characterization of risk variants, particularly those in noncoding sequences. We propose an interdisciplinary project to examine associations and molecular networks in both Type 2 diabetes mellitus (T2D) and Alzheimer's (AD) by integrating multi-omics data from various data sources like Accelerating Medicines Partnership-Alzheimer's Disease (AMP-AD) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). Developing new statistical methods and frameworks to integrate multi-omics data to uncover the regulatory mechanisms underpinning biological signals across molecular levels and disease stages is crucial for a better understanding of diabetes and Alzheimer's. |
| Additional Investigators |
