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...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0200263&type=printable |
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| author | Francis Hane Carolyn Augusta Owen Bai |
| author_facet | Francis Hane Carolyn Augusta Owen Bai |
| author_sort | Francis Hane |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-2c541a90e416446da34228e9441cc4ae |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-2c541a90e416446da34228e9441cc4ae2025-08-20T02:54:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01137e020026310.1371/journal.pone.0200263A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset.Francis HaneCarolyn AugustaOwen BaiIn 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0200263&type=printable |
| spellingShingle | Francis Hane Carolyn Augusta Owen Bai A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0200263&type=printable |
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