A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset.

Autor:	Francis Hane, Carolyn Augusta, Owen Bai
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Medicine Science
Zdroj:	PLoS ONE, Vol 13, Iss 7, p e0200263 (2018)
Druh dokumentu:	article
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0200263
Popis:	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.
Databáze:	Directory of Open Access Journals
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