| { | |
| "approved_by_author": "\u231b", | |
| "citation": "Muskens, Ivo S., et al. \"The genome-wide impact of trisomy 21 on DNA methylation and its implications for hematopoiesis.\" Nature Communications 12 (2021): 821.", | |
| "citations": 64, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "downsyndrome", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1038/s41467-021-21064-z", | |
| "journal": "Nature Communications", | |
| "last_author": "Adam J. de Smith", | |
| "model_type": "weighted linear score", | |
| "n_features": 652, | |
| "notes": "Implementation-derived Down-syndrome-associated methylation projection score: pyaging computes a zero-intercept weighted sum of 652 neonatal blood-spot beta values using the paper's autosomal EWAS beta_overall effect estimates. The paper presents an EWAS, not a trained or validated Down syndrome classifier.", | |
| "platform": [ | |
| "Illumina EPIC" | |
| ], | |
| "population": "newborns", | |
| "predicts": [ | |
| "Down syndrome methylation score" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "neonatal blood spots" | |
| ], | |
| "training_target": [ | |
| "not applicable" | |
| ], | |
| "unit": [ | |
| "unitless" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2021 | |
| } |