Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factors.

ABSTRACT: In human blood, it has been demonstrated that methylomic information can be used to predict smoking status, alcohol intake, and chronological age. While it is possible to robustly predict chronological age using DNA methylation information derived from buccal tissue, it remains to be determined if other variables can be directly predicted in cheek swabs. Here, we demonstrate that classifiers for smoking status and race/ethnicity can be built in a buccal methylomic dataset derived from 8,045 adults spanning an age range of 18-93 years. Furthermore, we build novel regressors for body mass index, alcohol intake, and chronological age. For each of these models, we identify the 1,000 most important CpGs and perform enrichment analyses on them to expose associated biological pathways and transcr

SUBMITTER: Shokhirev MN 

PROVIDER: S-EPMC12521809 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature