KoMethylNet: a novel epigenetic clock based on neural network analysis of DNA methylation data and epigenetic age acceleration in a Korean population.

ABSTRACT:

Background

Epigenetic clocks have been extensively investigated in individuals of European ancestry and may be suboptimal in East Asians. We developed a novel epigenetic clock (KoMethylNet) using neural network analysis of DNA methylation (DNAm) data from the Korean population to predict chronological ages.

Methods

DNAm data (367,785 CpG sites) from 2,747 participants (Infinium Human Methylation 450 K BeadChip: N = 397; Infinium MethylationEPIC BeadChip: N = 2,350) in the Korean Genome and Epidemiology Study (KoGES) were used to train the neural network on chronological ages. SHapley Additive exPlanation analysis was used to select the optimal number of CpG sites. KoMethylNet-epigenetic age acceleration (EAA)-phenotype analysis was conducted with linear regression, to identi

SUBMITTER: Yun D 

PROVIDER: S-EPMC12781313 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature