Extended Data Fig. 1: Single-cell stochastic model of DNAm change with age.
From: Quantifying the stochastic component of epigenetic aging
a) Depiction of a 2-state Markov Chain model with X = 0 representing the unmethylated state of one CpG, X = 1 representing it’s methylated state. P is the stochastic matrix so that row-entries add to 1. π represents the invariant steady-state probability distribution of finding a CpG in one cell unmethylated or methylated. The solution to the dynamics specified by the Markov-Chain as well as the steady-state values are given. b) Examples of how the probability of finding a CpG methylated in one cell changes with timestep for different scenarios specified by p (the probability of methylation), q (the probability of demethylation) and initial conditions. c) Empirically estimated effect sizes for real age-associated CpGs, as derived from a large 450k DNAm dataset of 1202 monocytes. Right scatterplot depicts the top-ranked CpG displaying the largest effect size.
