TY - JOUR
T1 - Epigenetic age-predictor for mice based on three CpG sites
AU - Han, Yang
AU - Eipel, Monika
AU - Franzen, Julia
AU - Sakk, Vadim
AU - Dethmers-Ausema, Bertien
AU - Yndriago, Laura
AU - Izeta, Ander
AU - de Haan, Gerald
AU - Geiger, Hartmut
AU - Wagner, Wolfgang
PY - 2018/8/24
Y1 - 2018/8/24
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053878861&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/30142075
U2 - https://doi.org/10.7554/eLife.37462
DO - https://doi.org/10.7554/eLife.37462
M3 - Article
C2 - 30142075
SN - 2050-084X
VL - 7
JO - eLife
JF - eLife
M1 - e37462
ER -