5 research outputs found

### A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimerâ€™s disease onset - Table 3

<p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimerâ€™s disease onset</p> - Table

### Example of hierarchical Bayesian model to estimate APOE4 genotype of a subject based on the age and age of AD onset of the subject and his parents and grandparents.

<p>Example of hierarchical Bayesian model to estimate APOE4 genotype of a subject based on the age and age of AD onset of the subject and his parents and grandparents.</p

### Gompertz AD onset risk function for the general population (â€śbaselineâ€ť), the subjectâ€™s estimated APOE status (â€śgenetic riskâ€ť), and risk factoring in known risk factors (â€śfactored riskâ€ť).

<p>Notice the risk increases steadily until approximately age 80, at which point the risk grows at a slower rate. This is because there is a probability that this individual will never have AD. The baseline risk is calculated by applying the model to the â€śaverageâ€ť person, that has APOE4 genotype probability status equal to that of the population.</p

### Theoretical Bayesian probability of APOE4 genotype based on age of AD onset.

<p>These functions form the basis for the P(AGE|Genotype) variable used in determining posterior probability P(Genotype|AGE). At early ages, the sum of the genetics add up to above 100% since the probability of autosomal dominant genes does not figure into the probabilities of have any of the APOE4 genotypes, which do add up to 100%. This graph is obtained using the conditional probability equation of .</p

### A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimerâ€™s disease onset - Table 1

<p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimerâ€™s disease onset</p> - Table