Extended Data Fig. 7: Mutation age prediction without whole-genome features.
From: Somatic mutation as an explanation for epigenetic aging
a) Correlation of chronological versus predicted age, shown for mutation or methylation clocks built without whole-genome features (n = 1,601 individuals). Correlations are shown across all tissues and in each of five TCGA tissues individually: LGG (Brain), GBM (Brain-2), SARC (Bone), KIRP (Kidney), and THCA (Thyroid). b) As in (a) but for age predictions using samples from normal (that is non-cancerous) tissues (n = 40). c) The methylation age residual is plotted versus the mutation age residual, using clocks without whole-genome features (Methods). Violin plots summarize the same samples as in panel (a). Pearson r refers to the correlation between methylation age residual and mutation age residual, controlling for chronological age (that is, partial correlation, p = 6.66 × 10–105). The central line of the inner boxplot represents the median, the edges of the box the interquartile range (IQR), and the whiskers 1.5-times the IQR. A two-sided p value was calculated based on the exact distribution of Pearson’s r modeled as a beta function. d) Similar to (c), but for the samples in (b). The central line of the inner boxplot represents the median, the edges of the box the interquartile range (IQR), the whiskers 1.5-times the IQR, and the points all the methylation age residual values. Statistics calculated as in (c).
