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Elife. 2018 Aug 24;7. pii: e37462. doi: 10.7554/eLife.37462.

Epigenetic age-predictor for mice based on three CpG sites.

Author information

1
Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Aachen, Germany.
2
Institute for Biomedical Engineering - Cell Biology, University Hospital RWTH Aachen, Aachen, Germany.
3
Institute of Molecular Medicine, Ulm University, Ulm, Germany.
4
Laboratory of Ageing Biology and Stem Cells, European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands.
5
Tissue Engineering Laboratory, Instituto Biodonostia, San Sebastian, Spain.
6
Department of Biomedical Engineering, School of Engineering, Tecnun-University of Navarra, San Sebastian, Spain.
7
Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Burnet Campus, Cincinnati, United States.

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.

KEYWORDS:

DNA methylation; age; aging; clock; developmental biology; genetics; genomics; mouse; predictor; signature

PMID:
30142075
PMCID:
PMC6156076
DOI:
10.7554/eLife.37462
[Indexed for MEDLINE]
Free PMC Article

Conflict of interest statement

YH, ME, JF, VS, BD, LY, AI, Gd, HG No competing interests declared, WW cofounder of Cygenia GmbH that can provide service for Epigenetic-Aging-Signatures (http://www.cygenia.com), but the method is fully described in this manuscript.

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