A) Study design indicating the fibroblast and iPSC samples derived from each
subject in the three twin sets (103_2,103_1; 31_1,31_2; 111_2,111_1). iPSC
clones are colored by shades of the subject’s color code and the colored
rectangles depict indicated passages. Color codes are consistent throughout the
paper. Blood samples were used for whole genome sequencing (WGS), while
fibroblast and iPSC samples were used for DNA methylation (CpG) and RNA-seq
(RNA) analyses. iPSCs indicated by filled cells have both methylation and
RNA-seq data, while those indicated by outlines only have RNA-seq data. B)
Dendrogram showing clustering of genome-wide methylation data of fibroblast
samples from this study (color-coded) with data from 62 previously published
fibroblast samples (grey) showing that fibroblasts do not cluster by genetic
background. C) Dendrogram showing clustering at 65 SNPs present on the
methylation arrays showing that twins cluster together based on genetic
information. D) Hierarchical clustering and heat map of correlation of
genome-wide methylation patterns of iPSC samples showing clustering by subject
(genetic background), clone and passage (colored based on rectangle shades in
1A). E) Hierarchical clustering and heat map of methylation levels at 3,270 CpGs
that have been shown to distinguish pluripotent and somatic cell types and also
passed QC in our analysis. The fibroblasts (labeled black in passage annotation,
six left most columns) randomly cluster whereas iPSC cluster by genetic
background, clone and passage.