CMImpute: cross-species and tissue imputation of species-level DNA methylation samples across mammalian species
The large-scale application of the mammalian methylation array has substantially expanded the availability of DNA methylation data in mammalian species. However, this data captures only a small portion of species-tissue combinations. To address this, we develop CMImpute (Cross-species Methylation Imputation), a method based on a conditional variational autoencoder, to impute DNA methylation representing species-tissue combinations. We demonstrate that CMImpute achieves strong sample-wise correlation between imputed and observed values. Using CMImpute and data from 348 species and 59 tissue types, we impute methylation data for 19,786 new species-tissue combinations. We expect CMImpute will be a useful resource for DNA methylation analyses.
Authors
- Steve Horvath (ORCID: https://orcid.org/0000-0002-4110-3589)
- Jason Ernst (ORCID: https://orcid.org/0000-0003-4026-7853)
- Emily Maciejewski
Institutions
- University of California, Los Angeles (US)
- University of Cambridge (GB)
- Broad Center (US)
Publication Details
- Journal
- Genome biology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1186/s13059-025-03561-2
- Citations
- 3
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Rose Hills Foundation
- National Institutes of Health
- Jonsson Comprehensive Cancer Center