Pleiotropic and Interaction Effects on Alzheimer's disease Risk and Progression

Brigham Young University, Provo UT

Investigators

Linked publications & trials

Abstract

DESCRIPTION (provided by applicant): Recent observations in Alzheimer's disease suggest that factors, which influence the relationship between pathological features in the brain and clinical symptoms, play a significant role in the disease process. First, more than 25% of non-demented, elderly individuals have brain pathology that is indistinguishable from known Alzheimer's disease individuals. Second, among those with a clinical diagnosis of disease there are clearly fast progressors and slow progressors. We will perform a genome-wide screen for relationship loci (rQTL) that modify the known relationship (correlation) between cerebrospinal fluid A¿42 levels and case/control status, thus screening for loci that explain the observation of non-demented individuals with Alzheimer's disease pathology. With slight adjustments to our models we can also screen for loci, which modify the known relationship between cerebrospinal fluid A¿42 levels and tau levels, and may explain the variation in the rate of progression of disease. For these analyses we have assembled over 2,000 samples with cerebrospinal fluid biomarker measurements, clinical evaluations, and whole-genome marker data for discovery and nearly 1000 samples with cerebrospinal fluid biomarker measurements and clinical evaluations for replication (genotyping to be completed as part of this proposal). We will then test the replicated variants for association with risk and rate of progression of Alzheimer's disease in approximately 20,000 cases and 30,000 controls (over 1900 of which have longitudinal measurements of disease progression). As demonstrated by our preliminary analyses, this promising approach will leverage the largest sample of its kind to identify genetic variation that is associated with Alzheimer's disease and Alzheimer's disease biomarkers via pleiotropic and interaction effects. This will provide insight into variation in important disease related processes such as protein aggregation and inflammatory and immune response. These findings are likely to be important for other protein aggregation and/or protein misfolding diseases.