Correlations between copy number and mRNAseq expression
Prostate Adenocarcinoma (Primary solid tumor)
23 May 2013  |  analyses__2013_05_23
Maintainer Information
Citation Information
Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Correlations between copy number and mRNAseq expression. Broad Institute of MIT and Harvard. doi:10.7908/C1HD7SQF
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 660.6, 1563, 1985, 2390.4, 2827, 3301, 3866, 4524, 5404.4, 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 187 176 175
Genes 23778 18257 18157

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
55140 ELP3 8p21.1 0.9018 0 0
91782 CHMP7 8p21.3 0.8941 0 0
55246 CCDC25 8p21.1 0.8936 0 0
9798 IST1 16q22.2 0.8926 0 0
55756 INTS9 8p21.1 0.871 0 0
9070 ASH2L 8p11.23 0.8637 0 0
57805 KIAA1967 8p21.3 0.8573 0 0
51125 GOLGA7 8p11.21 0.8493 0 0
5728 PTEN 10q23.31 0.8434 0 0
8720 MBTPS1 16q23.3 0.8163 0 0
22980 TCF25 16q24.3 0.8159 0 0
11212 PROSC 8p11.23 0.8149 0 0
83693 HSDL1 16q23.3 0.8138 0 0
1389 CREBL2 12p13.2 0.8081 0 0
10671 DCTN6 8p12 0.8046 0 0
5713 PSMD7 16q23.1 0.8003 0 0
55854 ZC3H15 2q32.1 0.8 0 0
9785 DHX38 16q22.2 0.7963 0 0
55290 BRF2 8p11.23 0.7921 0 0
9474 ATG5 6q21 0.7917 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.