Mediation analysis of the effect of depression on Alzheimer's disease risk in older adults

Yubai Yuan Co-Author
Pennsylvania State University
 
Fei Xue Co-Author
Purdue University
 
Kecheng Wei Co-Author
Fudan University
 
Jin Zhou Co-Author
UCLA
 
Annie Qu Co-Author
University of California At Irvine
 
Yuexia Zhang First Author
The University of Texas at San Antonio
 
Yuexia Zhang Presenting Author
The University of Texas at San Antonio
 
Thursday, Aug 7: 9:20 AM - 9:35 AM
2406 
Contributed Papers 
Music City Center 
Depression and Alzheimer's Disease (AD) are both highly prevalent among older adults, yet the causal relationship between them remains underexplored. Using datasets from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study, we examine whether geriatric depression has a significant causal effect on the risk of AD and investigate the mediating role of key biological and clinical mediators. To estimate these causal effects consistently, we control for ultra-high-dimensional potential confounders, including DNA methylation levels, applying a ball correlation-based method for confounder selection within the mediation analysis. To ensure robustness against model misspecification, we adopt a robust mediation analysis framework. Our findings indicate a significantly positive causal effect of geriatric depression on AD risk. Based on these insights, new prevention and treatment strategies for geriatric depression and Alzheimer's disease can be proposed by targeting the identified confounders and mediators.

Keywords

mediation analysis

geriatric depression

Alzheimer's disease

causal inference

DNA methylation 

Main Sponsor

Biometrics Section