Association of Epigenetic Metrics of Biological Age With Cortical Thickness.

ABSTRACT:

Importance

Magnetic resonance imaging (MRI) studies of aging adults have shown substantial intersubject variability across various brain metrics, and some of this variability is likely attributable to chronological age being an imprecise measure of age-related change. Accurately quantifying one's biological age could allow better quantification of healthy and pathological changes in the aging brain.

Objective

To investigate the association of DNA methylation (DNAm)-based biological age with cortical thickness and to assess whether biological age acceleration compared with chronological age captures unique variance in cortical thinning.

Design, setting, and participants

This cross-sectional study used high-resolution structural brain MRI data collected from a sample of

SUBMITTER: Proskovec AL 

PROVIDER: S-EPMC7490648 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature