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Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array.

Yunsung LeeKristine L HaftornWilliam R P DenaultHaakon E NustadChristian M PageRobert LyleSindre Lee-ØdegårdGunn-Helen MoenRashmi B PrasadLeif C GroopLine SletnerChristine SommerMaria C MagnusHåkon K GjessingJennifer R HarrisPer MagnusSiri E HåbergAstanand JugessurJon Bohlin
Published in: BMC genomics (2020)
Our ABECs predicted adults' chronological age precisely in independent cohorts. As EPIC is now the dominant platform for measuring DNAm, these clocks will be useful in further predictions of chronological age, age-related diseases, and mortality.
Keyphrases
  • dna methylation
  • gene expression
  • endothelial cells
  • high throughput
  • genome wide
  • electronic health record
  • cardiovascular disease
  • risk factors
  • type diabetes
  • big data
  • machine learning
  • deep learning
  • high density