ArticleScientific reports2020
Targeted methods for epigenetic age predictions in mice.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 66 citations in OpenAlex.
- Sex-Chromosome-Dependent Ageing in Female Heterogametic Methylomes.Molecular ecology · 2025Article
- Emerging issues in the management of patients with disorders of consciousness.Journal of neurology · 2025Review
- Independent Avian Epigenetic Clocks for Ageing and Development.Molecular ecology resources · 2025Article
- scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood.Nature communications · 2024Article
- Article
- TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction.Nature aging · 2024Article
- Predicting neurologic recovery after severe acute brain injury using resting-state networks.Journal of neurology · 2023Article
- Article
- Distinguishable DNA methylation defines a cardiac-specific epigenetic clock.Clinical epigenetics · 2023Article
- Epigenetic Clocks for Mice Based on Age-Associated Regions That are Conserved Between Mouse Strains and Human.Frontiers in cell and developmental biology · 2022Article
- How to Translate DNA Methylation Biomarkers Into Clinical Practice.Frontiers in cell and developmental biology · 2022Review
- Profiling epigenetic age in single cells.Nature aging · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
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Abstract
Age-associated DNA methylation reflects aspect of biological aging-therefore epigenetic clocks for mice can elucidate how the aging process in this model organism is affected by specific treatments or genetic background. Initially, age-predictors for mice were trained for genome-wide DNA methylation profiles and we have recently described a targeted assay based on pyrosequencing of DNA methylation at only three age-associated genomic regions. Here, we established alternative approaches using droplet digital PCR (ddPCR) and barcoded bisulfite amplicon sequencing (BBA-seq). At individual CG dinucleotides (CpGs) the correlation of DNA methylation with chronological age was slightly higher for pyrosequencing and ddPCR as compared to BBA-seq. On the other hand, BBA-seq revealed that neighboring CpGs tend to be stochastically modified at murine age-associated regions. Furthermore, the binary sequel of methylated and non-methylated CpGs in individual reads can be used for single-read predictions, which may reflect heterogeneity in epigenetic aging. In comparison to C57BL/6 mice the single-read age-predictions using BBA-seq were also accelerated in the shorter-lived DBA/2 mice, and in C57BL/6 mice with a lifespan quantitative trait locus of DBA/2 mice. Taken together, we describe alternative targeted methods for epigenetic age predictions that provide new perspectives for aging-intervention studies in mice.
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