DNA methylation epitypes highlight underlying developmental and disease pathways in acute myeloid leukemia

(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 1.
Figure 1.

Unsupervised clustering of 649 AML samples using DNA methylation and relationship with genetic mutations. (A) Heatmap of the 500 most variable CpGs across all samples organized by hierarchical clustering. Samples are annotated by epitype assignment using PAM clustering (colors). (B) The same 500 most variable displayed by t-SNE plot. (C) The distribution of the most common recurrent genetic aberrations in AML within the epitypes. Bubble size represents the percentage of patients within the epitype with the corresponding aberration. (D) Pie charts displaying the frequency of the most common (dominant mutation/combination) within each epitype.

This Article

  1. Genome Res. 31: 747-761

Preprint Server