A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes.

ABSTRACT: Epigenetic aging clocks are computational models that use DNA methylation sites to predict age. Since cheek swabs are non-invasive and painless, collecting DNA from buccal tissue is highly desirable. Here, we review 11 existing clocks that have been applied to buccal tissue. Two of these were exclusively trained on adults and, while moderately accurate, have not been used to capture health-relevant differences in epigenetic age. Using 130 common CpGs utilized by two or more existing buccal clocks, we generate a proof-of-concept predictor in an adult methylomic dataset. In addition to accurately estimating age (r = 0.95 and mean absolute error = 3.88 years), this clock predicted that Down syndrome subjects were significantly older relative to controls. A literature and database review of Cp

SUBMITTER: Johnson AA 

PROVIDER: S-EPMC9593711 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature