Ontology highlight
ABSTRACT:
SUBMITTER: Anderson JA
PROVIDER: S-EPMC8087445 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Anderson Jordan A JA Johnston Rachel A RA Lea Amanda J AJ Campos Fernando A FA Voyles Tawni N TN Akinyi Mercy Y MY Alberts Susan C SC Archie Elizabeth A EA Tung Jenny J
eLife 20210406
Aging, for virtually all life, is inescapable. However, within populations, biological aging rates vary. Understanding sources of variation in this process is central to understanding the biodemography of natural populations. We constructed a DNA methylation-based age predictor for an intensively studied wild baboon population in Kenya. Consistent with findings in humans, the resulting 'epigenetic clock' closely tracks chronological age, but individuals are predicted to be somewhat older or youn ...[more]