A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset
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Francis Hane1,2, Carolyn Augusta3, Owen Bai2
1Lakehead University, Thunder Bay, Ontario, CANADA.
Plos One
|July 13, 2018
Abstract:
In this work we use a hierarchical Bayesian paradigm to introduce a theoretical framework to determine an individual's Apolipoprotein ε4 (APOE4) genotype, which heavily influences both the age of onset and probability of acquiring Alzheimer's disease (AD). This calculation is based solely on an individual's family history. This APOE4 genotype estimation is then combined with a number of known factors that influence AD onset to produce a function that estimates the onset of AD as a function of age. We disseminated our Alzheimer's predictive tool online at http://www.alzheimerspredictor.com.