config.json

{
 "approved_by_author": "\u231b",
 "citation": "Mayne, Benjamin T., et al. \"Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation.\" Epigenomics 9 (2017): 279\u2013289.",
 "citations": 150,
 "citations_date": "2026-10-02",
 "clock_name": "mayne",
 "data_type": "DNA methylation",
 "doi": "https://doi.org/10.2217/epi-2016-0103",
 "journal": "Epigenomics",
 "last_author": "Tina Bianco\u2010Miotto",
 "model_type": "elastic net regression",
 "n_features": 62,
 "notes": "Placental elastic-net clock trained on pooled healthy human placenta methylation datasets; 62 selected CpGs predict gestational age and were used to test age acceleration in early-onset preeclampsia.",
 "platform": [
  "Illumina 27K",
  "Illumina 450K"
 ],
 "population": "pregnancies",
 "predicts": [
  "gestational age"
 ],
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "placenta"
 ],
 "training_target": [
  "gestational age"
 ],
 "unit": [
  "weeks"
 ],
 "version": "0.5.7",
 "year": 2017
}