Genotype Imputation for Statistical Analysis of Alzheimer's Disease
Supervisor: Jinko Graham
Dementia is a general term for loss of memory and other cognitive abilities serious enough to interfere with daily life. Alzheimer's disease is the most common form of dementia, accounting for 60-80 percent of cases. The disease is progressive and there is no known cure. The greatest risk factor is increasing age. However, Alzheimer's disease is not a normal part of aging. Genetics influences our risk of developing Alzheimer's disease and could play a role in early detection. In an initial case-control study, the Alzheimer's Disease Neuroimaging Initiative (ADNI) collected information or "genotypes" on an initial set of genome-wide variation. In a second case-control study involving new subjects, ADNI collected genotypes for a different set of genome-wide variation having some overlap with the first. We would like to impute the variation from the first set of genotypes into the second set of genotypes in the second study, using the spatial correlation of variation in the genome. This project will consist of learning and documenting the imputation process for the ADNI data and the workflow to automate the imputation.