Multi-tissue DNA methylation age predictor in mouse
BI Ageing Clock Team; Thomas M. Stubbs; Marc Jan Bonder; Anne‐Katrien Stark; Felix Krueger; Ferdinand von Meyenn; Oliver Stegle; Wolf Reik · 2017 · Genome biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: DNA methylation changes at a discrete set of sites in the human genome are predictive of chronological and biological age. However, it is not known whether these changes are causative or a consequence of an underlying ageing process. It has also not been shown whether this epigenetic clock is unique to humans or conserved in the more experimentally tractable mouse. RESULTS: We have generated a comprehensive set of genome-scale base-resolution methylation maps from multiple mouse tissues spanning a wide range of ages. Many CpG sites show significant tissue-independent correlations w
Abstract by BI Ageing Clock Team; Thomas M. Stubbs; Marc Jan Bonder; Anne‐Katrien Stark; Felix Krueger; Ferdinand von Meyenn; Oliver Stegle; Wolf Reik, Genome biology (2017) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s13059-017-1203-5