| { | |
| "approved_by_author": "\u231b", | |
| "citation": "McCartney, D. L., et al. \u201cEpigenetic prediction of complex traits and death.\u201d Genome Biology 19, 136 (2018).", | |
| "citations": 312, | |
| "citations_date": "2026-10-02", | |
| "clock_name": "mccartneybmi", | |
| "data_type": "DNA methylation", | |
| "doi": "https://doi.org/10.1186/s13059-018-1514-1", | |
| "journal": "Genome Biology", | |
| "last_author": "Riccardo E. Marioni", | |
| "model_type": "LASSO regression", | |
| "n_features": 1109, | |
| "notes": "Whole-blood DNAm LASSO score for body mass index (BMI), trained in Generation Scotland on an age-, sex-, and ancestry-adjusted phenotype residual and evaluated out of sample in LBC1936. BMI was log-transformed before residualization. The current pyaging implementation applies a sigmoid to the linear score, so the returned value is bounded and unitless. It is neither the original continuous phenotype residual nor a calibrated probability; the paper does not specify this sigmoid.", | |
| "platform": [ | |
| "Illumina EPIC" | |
| ], | |
| "population": "adults", | |
| "postprocess": "sigmoid", | |
| "predicts": [ | |
| "body mass index" | |
| ], | |
| "research_only": null, | |
| "species": "Homo sapiens", | |
| "tissue": [ | |
| "whole blood" | |
| ], | |
| "training_target": [ | |
| "body mass index" | |
| ], | |
| "unit": [ | |
| "unitless" | |
| ], | |
| "version": "0.5.7", | |
| "year": 2018 | |
| } |