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: | Leacky Muchene |
| Institution: | StatsDecide Analytics ans Consulting Limited |
| Department: | N/A |
| Country: | |
| Proposed Analysis: | Globally, the burden of Alzheimer Disease (AD) is well documented and a lot of research effort is in place in developed countries to address the challenges posed by AD. In developing countries however, much more needs to be done in terms of even understanding the early symptoms and proper clinical diagnosis of AD. Our motivation is to therefore explore promising markers for AD that would more easily be implemented in developing countries (or low-healthcare resource settings). Increasingly, high-throughput screening techniques have enabled better understanding of various medical conditions. In most cases, these 'big data" have been analysed independently although a joint approach may prove more accurate especially in diagnosis and disease progression monitoring. The purpose of this research initiative is to perform statistical analysis of AD data by integrating several data sources. Ideally, assessment scores, medical history and biospecimen such as gene expression and blood, stool, saliva or vaginal swabs microbiome may prove easier/cheaper to routinely collect for patients in Kenya, compared to advanced biospecimen such as cerebral spinal fluid or imaging data (MR or PET image data). As a first step, we hope to use the available data from ADNI to evaluate assessment, medical history, imaging and biospecimen parameters that correlates best with AD diagnosis. In the second step, we shall evaluate which subset of the data sources correlates best with imaging data. We hope that through this exercise, we shall establish a set of markers that can be cheaply and easily collected during routine follow-up in least developed countries. Although this is a simplistic summary, a detailed statistical analysis plan will be prepared prior to data analysis. While out of scope for the current data request, ultimately, the goal of our research initiative is to set up a longitudinal ageing study in Kenya, for which markers that we identify from the ADNI data analysis, potentially in addition to others, will be collected on the study participants. |
| Additional Investigators |
