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"approved_by_author": "\u231b",
"citation": "Higgins-Chen, Albert T., et al. \"A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking.\" Nature Aging 2 (2022): 644\u2013661.",
"citations": 546,
"citations_date": "2026-10-02",
"clock_name": "pcdnamtl",
"data_type": "DNA methylation",
"doi": "https://doi.org/10.1038/s43587-022-00248-2",
"journal": "Nature Aging",
"last_author": "Morgan E. Levine",
"model_type": "PCA + elastic net regression",
"n_features": 78464,
"notes": "Principal-component proxy trained to reproduce the original DNAmTL clock output; the returned score remains in kilobases. Figure-level base-pair deviations are a separate analysis-scale conversion.",
"platform": [
"Illumina 450K"
],
"population": "adults",
"predicts": [
"leukocyte telomere length"
],
"reference_values": true,
"research_only": null,
"species": "Homo sapiens",
"tissue": [
"whole blood"
],
"training_target": [
"DNAmTL output"
],
"unit": [
"kilobases"
],
"version": "0.5.7",
"year": 2022
} |