| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # downsyndrome | |
| 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. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. | |
| | | | | |
| |---|---| | |
| | **Predicts** | Down syndrome methylation score | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | neonatal blood spots | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | weighted linear score | | |
| | **Year** | 2021 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["downsyndrome"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## 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. | |
| https://doi.org/10.1038/s41467-021-21064-z | |