Fig. 2: Visualisation of genome-wide analysis results in the Discovery and TCGA-CHOL datasets. | British Journal of Cancer

Fig. 2: Visualisation of genome-wide analysis results in the Discovery and TCGA-CHOL datasets.

From: HOXD8 hypermethylation as a fully sensitive and specific biomarker for biliary tract cancer detectable in tissue and bile samples

Fig. 2: Visualisation of genome-wide analysis results in the Discovery and TCGA-CHOL datasets.

a Scatter plot displaying average CGI β-values distribution in normal and tumour samples of the Discovery dataset. Red dots indicate statistically significant differentially methylated (|Δβ| > 0.20, P value < 0.05) CGIs. b Volcano plot of CGIs Δβ of the Discovery dataset. In the x axis, the difference of methylation between tumours and normal samples. In the y axis, the -logarithm of the P value. Red dots indicate hypermethylated CGIs (Δβ > 0.2) and green dots represent hypomethylated CGIs (Δβ < −0.2). c, d Discovery dataset unsupervised hierarchical clustering analysis based on the average CGI β values (c) and on the average CGI somatic changes, defined as the difference between the β-value of every tumour and the average of the normal samples for each of the aberrantly methylated CGIs (d). e Scatter plot displaying average CGI β-values distribution in normal and tumour samples of the TCGA-CHOL dataset. Red dots indicate statistically significant differentially methylated CGIs. f Volcano plot distribution of CGIs Δβ of the TCGA-CHOL dataset. Red dots indicate hypermethylated CGIs (Δβ > 0.2) and green dots represent hypomethylated CGIs (Δβ < −0.2). g, h TCGA-CHOL dataset unsupervised hierarchical clustering analysis based on the average CGI β values (g) and somatic changes (h) for each of the aberrantly methylated CGIs.

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