Additional file 1: Table S1. of Somatic mosaicism for copy-neutral loss of heterozygosity and DNA copy number variations in the human genome

General characteristics of the four subjects examined in the study. Table S2. Studied tissues and sample naming. Table S3. Summary of the non-mosaic (germ-line) CNV regions identified in all tissues of the body from four individuals studied. Table S4. Summary of tissue-specific CNVs observed in one of the four individuals studied (KT538). Table S5. Summary of tissue-specific cn-LOH events (>5 Mb) observed in three out of the four individuals studied. Table S6. DNA concentrations (ng/μl) and quality parameters (260/280 and 260/230 nm ratios) for each tissue type and subject. (PDF 548 kb

CpGs’ distance from TSS.

<p>We measured CpGs’ distance from the transcription start site (TSS). a) Distance from TSS of all the CpGs on the methylation array. b) Distance from TSS of hypermethylated CpGs (dotted line) and distance from TSS of hypomethylated CpGs (continuous line). On the x-axis, the distance from TSS is measured in bp-s, and on the y-axis N represents the number of CpGs.</p

Survival curves of 10 differentially methylated CpG sites.

<p>We performed a survival test on each of the CpG sites. The methylation values are divided into 3 groups: low (0–0.25), medium (0.25–0.75) and high (0.75–1). As a result we found 10 CpG sites whose methylation level differs in different survival groups. The x-axis shows survival in years and the y-axis shows overall survival.</p

The concordance between microarray and qRT-PCR measurements.

<p>On the y-axis is shown average log2fold-change determined by Illumina array and qRT-PCR (8 sample pairs). Error bars indicate standard error of the mean (SEM).</p

Differential DNA methylation between NSCLC and normal lung samples.

<p>DNA methylation levels are shown for the top 100 CpG sites with the highest delta Beta values (FDR corrected) of DNA methylation between cancer tissue and normal lung tissue. Methylation Beta-values are represented as row Z-scores. A heatmap was generated using unsupervised 2D hierarchical cluster analysis. Red indicates high methylation and blue indicates low methylation relative to the row mean.</p