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"approved_by_author": "\u231b",
"citation": [
"Rozenblit, M., et al. Evidence of accelerated epigenetic aging of breast tissues in patients with breast cancer is driven by CpGs associated with polycomb-related genes. Clinical Epigenetics 14, 30 (2022).",
"Levine, M. E., et al. \"An epigenetic biomarker of aging for lifespan and healthspan.\" Aging 10.4 (2018): 573-591."
],
"citations": 23,
"citations_date": "2026-10-02",
"clock_name": "dnamphenoageprc",
"data_type": "DNA methylation",
"doi": "https://doi.org/10.1186/s13148-022-01249-z",
"journal": "Clinical Epigenetics",
"last_author": "Morgan Levine",
"model_type": "weighted linear score",
"n_features": 55,
"notes": "Original Levine-lab polycomb-related PhenoAge contribution using 55 CpGs. Coefficients retain their original values; the 60.664 PhenoAge intercept is excluded from both partitions, so these scores are not standalone calibrated ages. The two contributions plus the original intercept reconstruct DNAmPhenoAge. Follows author imputation=FALSE: absent CpGs and supplied NA values contribute zero. The parent DNAmPhenoAge coefficients were fitted on InCHIANTI 450K whole-blood data; the selected sites also occur on 27K and EPIC arrays.",
"platform": [
"Illumina 450K"
],
"population": "adults",
"predicts": [
"polycomb-related PhenoAge contribution"
],
"preprocess": "missing_beta_zero_contribution",
"research_only": null,
"species": "Homo sapiens",
"tissue": [
"whole blood"
],
"training_target": [
"phenotypic age"
],
"unit": [
"years"
],
"version": "0.5.7",
"year": 2022
} |