Correlations between copy number and mRNAseq expression
Colorectal Adenocarcinoma (Primary solid tumor)
23 September 2013  |  analyses__2013_09_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/C1TH8K0R
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 756.2, 1558, 2143.6, 2769, 3459, 4132, 4815.4, 5490, 6290.8, 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 589 316 314
Genes 23778 18068 17983

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
9491 PSMF1 20p13 0.8987 0 0
25980 C20orf4 20q11.23 0.8913 0 0
91782 CHMP7 8p21.3 0.89 0 0
55246 CCDC25 8p21.1 0.8891 0 0
55140 ELP3 8p21.1 0.8885 0 0
26133 TRPC4AP 20q11.22 0.8874 0 0
51507 C20orf43 20q13.31 0.887 0 0
79648 MCPH1 8p23.1 0.8836 0 0
6780 STAU1 20q13.13 0.8819 0 0
51340 CRNKL1 20p11.23 0.8759 0 0
64412 GZF1 20p11.21 0.8746 0 0
54994 C20orf11 20q13.33 0.8743 0 0
57805 KIAA1967 8p21.3 0.8719 0 0
54915 YTHDF1 20q13.33 0.8716 0 0
137492 VPS37A 8p22 0.8714 0 0
55756 INTS9 8p21.1 0.8708 0 0
8451 CUL4A 13q34 0.8684 0 0
1457 CSNK2A1 20p13 0.8683 0 0
5786 PTPRA 20p13 0.8678 0 0
57325 CSRP2BP 20p11.23 0.8639 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

In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.