Integrative analysis of DNA methylation and gene expression identifies genes associated with biological aging in Alzheimer's disease
Abstract
The acceleration of biological aging is a risk factor for Alzheimer's disease (AD). Here, we performed weighted gene co‐expression network analysis (WGCNA) to identify modules and dysregulated genesinvolved in biological aging in AD.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2022
- Source ID
- 10.1002/dad2.12354
Entities
People
- Andrew J. Saykin
- Aparna Vasanthakumar
- Bo‐hyun Kim
- For The Alzheimer’s Disease Neuroimaging Initiative (adni)
- Jeffrey F. Waring
- Jong‐min Lee
- Justin W. Davis
- Kelly N.h. Nudelman
- Kenneth Idler
- Kwangsik Nho
- Qingqin S Li
- Sang Won Seo
- Shannon L. Risacher
Organizations
- Department of Health and Social Care
- Hanyang University
- Indiana University
- National Institute of Biomedical Imaging and Bioengineering
- National Institute on Aging
- National Institutes of Health
- Sungkyunkwan University
- United States Department of Defense