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ABSTRACT: Background
Epigenetic clocks have been recognized for their precise prediction of chronological age, age-related diseases, and all-cause mortality. Existing epigenetic clocks are based on CpGs from the Illumina HumanMethylation450 BeadChip (450?K) which has now been replaced by the latest platform, Illumina MethylationEPIC BeadChip (EPIC). Thus, it remains unclear to what extent EPIC contributes to increased precision and accuracy in the prediction of chronological age.Results
We developed three blood-based epigenetic clocks for human adults using EPIC-based DNA methylation (DNAm) data from the Norwegian Mother, Father and Child Cohort Study (MoBa) and the Gene Expression Omnibus (GEO) public repository: 1) an Adult Blood-based EPIC Clock (ABEC) trained on DNAm data from MoBa (n?=?1592, age-span: 19 to 59?years), 2) an extended ABEC (eABEC) trained on DNAm data from MoBa and GEO (n?=?2227, age-span: 18 to 88?years), and 3) a common ABEC (cABEC) trained on the same training set as eABEC but restricted to CpGs common to 450?K and EPIC. Our clocks showed high precision (Pearson correlation between chronological and epigenetic age (r)?>?0.94) in independent cohorts, including GSE111165 (n?=?15), GSE115278 (n?=?108), GSE132203 (n?=?795), and the Epigenetics in Pregnancy (EPIPREG) study of the STORK Groruddalen Cohort (n?=?470). This high precision is unlikely due to the use of EPIC, but rather due to the large sample size of the training set.Conclusions
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.
SUBMITTER: Lee Y
PROVIDER: S-EPMC7590728 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Lee Yunsung Y Haftorn Kristine L KL Denault William R P WRP Nustad Haakon E HE Page Christian M CM Lyle Robert R Lee-Ødegård Sindre S Moen Gunn-Helen GH Prasad Rashmi B RB Groop Leif C LC Sletner Line L Sommer Christine C Magnus Maria C MC Gjessing Håkon K HK Harris Jennifer R JR Magnus Per P Håberg Siri E SE Jugessur Astanand A Bohlin Jon J
BMC genomics 20201027 1
<h4>Background</h4>Epigenetic clocks have been recognized for their precise prediction of chronological age, age-related diseases, and all-cause mortality. Existing epigenetic clocks are based on CpGs from the Illumina HumanMethylation450 BeadChip (450 K) which has now been replaced by the latest platform, Illumina MethylationEPIC BeadChip (EPIC). Thus, it remains unclear to what extent EPIC contributes to increased precision and accuracy in the prediction of chronological age.<h4>Results</h4>We ...[more]