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Epigenetic age-predictor for mice based on three CpG sites

Yang Han, Monika Eipel, Julia Franzen, Vadim Sakk, Bertien Dethmers-Ausema, Laura Yndriago, Ander Izeta, Gerald de Haan, Hartmut Geiger, Wolfgang Wagner

eLife · 2018 · ▲ 70 citations

Epigenetic alterations Mouse

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Abstract

Epigenetic clocks for mice were generated based on deep-sequencing analysis of the methylome. Here, we demonstrate that site-specific analysis of DNA methylation levels by pyrosequencing at only three CG dinucleotides (CpGs) in the genes Prima1 , Hsf4 , and Kcns1 facilitates precise estimation of chronological age in murine blood samples, too. DBA/2 mice revealed accelerated epigenetic aging as compared to C57BL6 mice, which is in line with their shorter life-expectancy. The three-CpG-predictor provides a simple and cost-effective biomarker to determine biological age in large intervention studies with mice.

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Provenance

Source: OpenAlex
DOI: 10.7554/elife.37462
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Fetched: 2026-07-24 MST

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APA

Han, Y., Eipel, M., Franzen, J., Sakk, V., Dethmers-Ausema, B., Yndriago, L., Izeta, A., Haan, G.D., Geiger, H., & Wagner, W. (2018). Epigenetic age-predictor for mice based on three CpG sites. <em>eLife</em>. https://doi.org/10.7554/elife.37462

Vancouver

Han Y, Eipel M, Franzen J, Sakk V, Dethmers-Ausema B, Yndriago L, et al. Epigenetic age-predictor for mice based on three CpG sites. eLife. 2018. doi:10.7554/elife.37462.

BibTeX

@article{yang2018Epigen, title = {Epigenetic age-predictor for mice based on three CpG sites}, author = {Yang Han and Monika Eipel and Julia Franzen and Vadim Sakk and Bertien Dethmers-Ausema and Laura Yndriago and Ander Izeta and Gerald de Haan and Hartmut Geiger and Wolfgang Wagner}, journal = {eLife}, year = {2018}, doi = {10.7554/elife.37462}, }