mayne / config.json
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{
"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": "2026-07-05",
"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": "0.5.0",
"year": 2017
}