DNA methylation associated with Alzheimer’s disease and cognitive outcomes in the Health and Retirement Study
- PI
- Wang, Lily
- DAR ID
- 10618
- Initial Approval Date
- November 21, 2024
- Current DAR Status
- Active
- PI Institution
- University of Miami Miller School of Medicine
- PI Institution Country
- United States
- PI Institution Type
- Non-Profit
Requested Datasets (2)
Research Use Statement
Objectives
The goal of this study is to perform statistical and bioinformatics analyses and identify DNA methylation changes associated with cognitive data and dementia outcomes collected by the Health and Retirement Study. Our specific aims are:
(1) Identify blood DNAm associated with aging, AD diagnosis and longitudinal cognitive outcomes
(2) Validate DNAm-based prediction models for identifying subjects with high risk for dementia.
Study design. The Health and Retirement Study (HRS) is a longitudinal panel study
Analysis plan To identify blood DNAm associated with LOAD diagnosis and longitudinal cognitive outcomes, we will fit a mixed effects model with LOAD diagnosis (or longitudinal outcome) as the dependent variable, CpG methylation as the main independent variable, along with age, sex, batch type, estimated blood cell type proportions as covariates. In addition, we will apply our DNAm-based prediction models for LOAD to the Health and Retirement Study data and evaluate the prediction model by computing AUC (area under ROC curve).
Phenotypic characteristics. We will evaluate the association of DNA methylation variants with dementia diagnosis and chronological age, adjusting for covariate variables race/ethnicity, APOE genotype, baseline MMSE at time of blood draw, age, sex, education, smoking history.
The goal of this study is to perform statistical and bioinformatics analyses and identify DNA methylation changes associated with cognitive data and dementia outcomes collected by the Health and Retirement Study. Our specific aims are:
(1) Identify blood DNAm associated with aging, AD diagnosis and longitudinal cognitive outcomes
(2) Validate DNAm-based prediction models for identifying subjects with high risk for dementia.
Study design. The Health and Retirement Study (HRS) is a longitudinal panel study
Analysis plan To identify blood DNAm associated with LOAD diagnosis and longitudinal cognitive outcomes, we will fit a mixed effects model with LOAD diagnosis (or longitudinal outcome) as the dependent variable, CpG methylation as the main independent variable, along with age, sex, batch type, estimated blood cell type proportions as covariates. In addition, we will apply our DNAm-based prediction models for LOAD to the Health and Retirement Study data and evaluate the prediction model by computing AUC (area under ROC curve).
Phenotypic characteristics. We will evaluate the association of DNA methylation variants with dementia diagnosis and chronological age, adjusting for covariate variables race/ethnicity, APOE genotype, baseline MMSE at time of blood draw, age, sex, education, smoking history.
Non-Technical Summary
This study aims to explore how DNA methylation changes are associated dementia outcomes in older adults using data from the Health and Retirement Study. We will identify specific DNA methylation patterns associated with aging and Alzheimer's dementia, while also validating prediction models to identify individuals at high risk for dementia.
Reported Publications
Publications shown are those reported by investigators through NIAGADS DAR reporting and renewal processes and may not represent a complete list of publications associated with the project.
No publications have been reported for this DAR.