Epigenetic drift score captures directional methylation variability and links aging to transcriptional, metabolic, and genetic alterations

(Downloading may take up to 30 seconds. If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.

Figure 2.
Figure 2.

Epigenome-wide identification and annotation of drift- and clock-CpGs. (A) Manhattan plot of significant CpGs (P < 1 × 10−7), colored by drift (blue), clock (blue), or both (red) effects. (B) Venn diagram showing overlap between drift- and clock-CpGs. (C) Overlap of NSPT drift-CpGs with those from Slieker et al. (2016) and Wang et al. (2018). (D,E) Representative CpGs with age-related increase (D) or decrease (E) in methylation variance. (F,G) Genomic enrichment of positive and negative drift-CpGs (F: CpG island-related; G: gene-related features). (H,I) Genomic enrichment of drift- and clock-CpGs (H: CpG island-related; I: gene-related features). (J) Scatter plot of initial (young) versus terminal (old) methylation levels at drift-CpGs. (K,L) Heat maps of positive (K) and negative (L) drift-CpG distribution by methylation levels. (M) Upset plot showing cell type specificity of drift-CpGs across immune lineages. (PosD) positive drift-CpGs, (NegD) negative drift-CpGs, (PosC) positive clock-CpGs, (NegC) negative clock-CpGs, (NonD) nondrift CpGs, (NonC) nonclock CpGs.

This Article

  1. Genome Res. 35: 2173-2188

Preprint Server