ArticleBMC genomics2020
Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Epigenetic signatures of cardiometabolic risk in men: accelerated aging and differential methylation replicated across cohorts.Clinical epigenetics · 2026Article
- Reversal of proteomic aging with exercise-results from the UK biobank and a 12-week intervention study.npj aging · 2025Article
- Enhanced Outer Membrane Vesicle Production inInternational journal of molecular sciences · 2025Article
- Examination of Genetic and Epigenetic Characteristics of Patients with Hyperhomocysteinemia Following High-Dose Folic Acid Consumption.Nutrients · 2025Article
- MinLinMo: a minimalist approach to variable selection and linear model prediction.BMC bioinformatics · 2024Article
- Comprehensive evaluation of smoking exposures and their interactions on DNA methylation.EBioMedicine · 2024Article
- Where are we in the implementation of tissue-specific epigenetic clocks?Frontiers in bioinformatics · 2024Article
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- The Relationship between Epigenetic Age and Myocardial Infarction/Acute Coronary Syndrome in a Population-Based Nested Case-Control Study.Journal of personalized medicine · 2022Article
- Age and sex effects on DNA methylation sites linked to genes implicated in severe COVID-19 and SARS-CoV-2 host cell entry.PloS one · 2022Article
- An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies.Clinical epigenetics · 2021Article
Corrections and comments
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Authors and funding
19 authors at 5 institutions in 6 countries.
Funding
Abstract
backgroundEpigenetic 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 Existing epigenetic clocks are based on CpGs from the Illumina HumanMethylation450 BeadChip (450 K) which has now been replaced by the latest platform, Illumina MethylationEPIC BeadChip (EPIC).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.
resultsWe 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.
conclusionsOur 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.
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