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

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 indi...

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Detalles Bibliográficos
Autores principales: Hane, Francis, Augusta, Carolyn, Bai, Owen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042730/
https://www.ncbi.nlm.nih.gov/pubmed/30001420
http://dx.doi.org/10.1371/journal.pone.0200263
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author Hane, Francis
Augusta, Carolyn
Bai, Owen
author_facet Hane, Francis
Augusta, Carolyn
Bai, Owen
author_sort Hane, Francis
collection PubMed
description 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.
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spelling pubmed-60427302018-07-19 A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset Hane, Francis Augusta, Carolyn Bai, Owen PLoS One Research Article 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. Public Library of Science 2018-07-12 /pmc/articles/PMC6042730/ /pubmed/30001420 http://dx.doi.org/10.1371/journal.pone.0200263 Text en © 2018 Hane et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hane, Francis
Augusta, Carolyn
Bai, Owen
A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset
title A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset
title_full A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset
title_fullStr A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset
title_full_unstemmed A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset
title_short A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset
title_sort hierarchical bayesian model to predict apoe4 genotype and the age of alzheimer’s disease onset
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042730/
https://www.ncbi.nlm.nih.gov/pubmed/30001420
http://dx.doi.org/10.1371/journal.pone.0200263
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