12 research outputs found

    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.

    No full text
    <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

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

    No full text
    <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 Alzheimer’s disease onset - Table 1

    No full text
    <p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset</p> - Table

    Gompertz AD onset risk function for the general population (“baseline”), the subject’s estimated APOE status (“genetic risk”), and risk factoring in known risk factors (“factored risk”).

    No full text
    <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 “average” person, that has APOE4 genotype probability status equal to that of the population.</p

    A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset - Table 3

    No full text
    <p>A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset</p> - Table

    Force Spectroscopy Setup.

    No full text
    <p>A schematic of experimental setup of force spectroscopy experiment showing Aβ bound to substrate and tip via the PEG linker.</p

    Statistical Data of Force Spectroscopy Experiments.

    No full text
    <p>Statistical Data of Force Spectroscopy Experiments.</p

    Schematic diagram of Aβ dimers with and without copper.

    No full text
    <p>Without copper, the most favorable conformation of the Aβ dimer involves an anti-parallel conformation (A). With the addition of copper, Aβ adopts a parallel dimer conformation (B) stabilized by the occupied copper binding sites (C).</p

    Representative force curves.

    No full text
    <p>Force curves showing rupture forces of an Aβ dimer without (A) and with (B) copper added at a retraction rate of 400 nm/s. Curves are shown as force vs. piezo z-displacement.</p

    AFM images of amyloid-metal aggregates.

    No full text
    <p>AFM images of Aβ incubated without copper for periods of 1 hr (A) 6 hr (B) and 24 hr (C), and with copper at a 10∶1 molar ratio for 1 hr (D), 6 hr (E), and 24 hr (F). The lateral scale bar is 1 µm.</p
    corecore