Assessing the genetic contribution to successful ageing and Alzheimer’s disease risk

Establishing efficient prevention strategies for dementia and Alzheimer disease’s (AD) is a major health priority for the coming years. An important hurdle is that pathological processes leading to Alzheimer’s disease begin many years before clinical diagnosis, hence efficient prevention should be initiated very early. This requires identifying individuals in the general population who are at high risk of developing dementia and AD. Using next-generation sequencing (NGS) data of whole genomes, we will attempt to identify genetic variation that contributes to the risk of dementia and AD. This project will perform computationally intensive NGS analysis steps including alignment, quality control and variant calling. At the completion of this project, these results will allow further analysis assessing the contribution of genetic variation to dementia and AD