… model (robust regression), which is different from the nonlinear trajectory of cognitive decline
previously proposed in a hypothetical model … recall, Alzheimer Disease Assessment Scale-…

… Although this study was conducted in a stress animal model, it still provides evidence from
an epigenetic perspective for NPAS4 as a possible target. Another molecule involved in tau …

… we fitted a logistic regression model, in which methylation variability status (hypervariable or
… We found that the observed differential association of DNA methylation variability status with …

… We analyzed differential DNA methylation across diagnosis groups using a mixed model
with a … Data collection and sharing for this project was funded by the Alzheimer's Disease …

… We present a novel Alzheimer's disease prediction model based on deep neural network. …
based model that can predict AD using large-scale gene expression and DNA methylation data…

… We assessed blood-based DNA methylation at 13 CpGs in the … Using linear mixed models
regression, we examined the … risks of Alzheimer's disease (AD) and cardiovascular disease. …

… To assess whether regions of the genome were differentially methylated between Alzheimer’s
disease cases and controls, we used bumphunter with the same models as above [26]. …

… utility of DNA methylation as clinical biomarkers, we also compared methylation differences
in … , we first removed confounding effects in DNA methylation data by fitting the model median …

… in DNA methylation data by fitting the model methylation M … from this model; these are the
ROSMAP methylation residuals. … ] that are annotated to Alzheimer's disease, many of which are …

… , we summarize the association of DNA methylation with the … diseases, such as, Alzheimer’s
disease, Parkinson’s disease, … model, as well as in the 3xTg-AD mouse model, changes in …