Skin Cutaneous Melanoma: Correlations between copy number and mRNAseq expression
Maintained by TCGA GDAC Team (Broad Institute/Dana-Farber Cancer Institute/Harvard Medical School)
Overview
Introduction

A TCGA sample is profiled to detect the copy number variations and expressions of genes. This pipeline attempts to correlate copy number and Rnaseq data of genes across samples to determine if the copy number variations also result in differential expressions. This report contains the calculated correlation coefficients based on measurements of genomic copy number (log2) values and RNAseq expression of the corresponding feature across patients. High positive/low negative correlation coefficients indicate that genomic alterations result in differences in the expressions of mRNAseq the genomic regions transcribe.

Summary

The correlation coefficients in 10, 20, 30, 40, 50, 60, 70, 80, 90 percentiles are 1094.5, 1767, 2386, 2962, 3564.5, 4193, 4854, 5551, 6309.5, respectively.

Results
Correlation results

Number of genes and samples used for the calculation are shown in Table 1. Figure 1 shows the distribution of calculated correlation coefficients and quantile-quantile plot of the calculated correlation coefficients against a normal distribution. Table 2 shows the top 20 features ordered by the value of correlation coefficients.

Table 1.  Counts of mRNAseq and number of samples in copy number and expression data sets and common to both

Category Copy number Expression Common
Sample 219 153 153
Genes 22749 18143 17356

Figure 1.  Summary figures. Left: histogram showing the distribution of the calculated correlations across samples for all Genes. Right: QQ plot of the calculated correlations across samples. The QQ plot is used to plot the quantiles of the calculated correlation coefficients against that derived from a normal distribution. Points deviating from the blue line indicate deviation from normality.

Table 2.  Get Full Table Top 20 features (defined by the feature column) ranked by correlation coefficients

Locus ID Gene Symbol Cytoband cor p-value q-value
92105 INTS4 11q14.1 0.8687 0 0
2547 XRCC6 22q13.2 0.8304 0 0
4718 NDUFC2 11q14.1 0.8102 0 0
84893 FBXO18 10p15.1 0.8075 0 0
6730 SRP68 17q25.1 0.7974 0 0
1211 CLTA 9p13.3 0.7947 0 0
9798 IST1 16q22.2 0.7903 0 0
54926 UBE2R2 9p13.3 0.7884 0 0
1207 CLNS1A 11q14.1 0.7858 0 0
55585 UBE2Q1 1q21.3 0.7847 0 0
54915 YTHDF1 20q13.33 0.7798 0 0
5546 PRCC 1q23.1 0.7795 0 0
6257 RXRB 6p21.32 0.778 0 0
220064 ORAOV1 11q13.3 0.7775 0 0
3550 IK 5q31.3 0.7761 0 0
1019 CDK4 12q14.1 0.776 0 0
9785 DHX38 16q22.2 0.7752 0 0
54455 FBXO42 1p36.13 0.7747 0 0
5394 EXOSC10 1p36.22 0.7741 0 0
55069 C7orf42 7q11.21 0.7736 0 0
Methods & Data
Input

Gene level (TCGA Level III) mRNAseq expression data and copy number data of corresponding gene derived by GISTIC pipelinePearson correlation coefficients were calculated for each pair of genes shared by the two data sets across all the samples that were common.

Correlation across sample

Pairwise correlations between the log2 copy numbers and expressions of each gene across samples were calculated using Pearson correlation.

Download Results

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.