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MammalMethylClock R package: software for DNA methylation-based epigenetic clocks in mammals
Joseph Alan Zoller, Steve Horvath
Bioinformatics · 2024 · ▲ 20 citations
Abstract
ABSTRACT Epigenetic clocks are prediction methods that relate cytosine methylation levels at specific genomic sites to chronological age, accounting for nuances such as genome mapping information and possibly life history traits such as age at sexual maturity. Defined as multivariate regression models, these DNA methylation-based biomarkers have gained prominence in species conservation efforts and preclinical studies. Once built, these models predict an individual’s age from their tissue sample’s methylation profile, with great potential for aging research, disease risk prediction, gauging intervention impacts. Through the collaborative efforts of our Mammalian Methylation Consortium, we’ve described epigenetic clocks for numerous mammalian species. Our R package includes the utility for implementing these pre-existing mammalian clocks. Overall, we present software tools and a dedicated R package called MammalMethylClock , designed for the construction and assessment of epigenetic clocks.
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- 10.1093/bioinformatics/btae280
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- 2026-10-14 MST
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APA
Zoller, J.A., & Horvath, S. (2024). MammalMethylClock R package: software for DNA methylation-based epigenetic clocks in mammals. <em>Bioinformatics</em>. https://doi.org/10.1093/bioinformatics/btae280
Vancouver
Zoller JA, Horvath S. MammalMethylClock R package: software for DNA methylation-based epigenetic clocks in mammals. Bioinformatics. 2024. doi:10.1093/bioinformatics/btae280.
BibTeX
@article{joseph2024Mammal,
title = {MammalMethylClock R package: software for DNA methylation-based epigenetic clocks in mammals},
author = {Joseph Alan Zoller and Steve Horvath},
journal = {Bioinformatics},
year = {2024},
doi = {10.1093/bioinformatics/btae280},
}
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