Merging Data for Genetic Studies

Supervisor: Brad McNeney

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. Genetics influences our risk of developing Alzheimer's disease and could play a role in early detection.  This project involves merging genetic data from two studies of Alzheimer's Disease. To merge the studies, missing data on genetic variation of the subjects will need to be filled in through the use of a comprehensive and publicly available reference panel of genetic variation. The student will implement the merging process and write a reproducible document describing the workflow. We are looking for a student with good writing skills who is curious about the analysis of data on genetic variation. Prior experience with computing in a Unix environment (e.g. shell scripting) and with documenting workflows in R and RMarkdown would be an asset.