Fig. 2From: Population whole-genome bisulfite sequencing across two tissues highlights the environment as the principal source of human methylome variationDNA methylation footprint in adipose tissue and blood. Datasets were merged within tissues, keeping only sites covered ≥12-fold, and the MethylseekR software [26] was employed to identify unmethylated and low-methylated footprints in adipose and blood. Shown are Venn diagrams describing tissue-specificity of identified (a) unmethylated regions (UMR) and (b) low-methylated regions (LMR). For overlapping areas, numbers indicate percentage of overlap based on adipose tissue and blood as indicated. c Histograms display the number of tissue-shared and adipose-specific UMRs overlapping with ranked H3K4me3 bins (see text; top 5 % are shown). d Adipose LMRs and adipose-specific UMRs overlapped with ranked H3K4me1 bins (top 5 % are shown)Back to article page