Correlations between copy number and mRNAseq expression
Rectum Adenocarcinoma (Primary solid tumor)
22 February 2013  |  analyses__2013_02_22
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/C1TQ5ZSJ
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 925.9, 2005, 2652, 3228, 3805, 4393.4, 4991, 5628, 6432.1, 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 162 72 71
Genes 23778 17926 17840

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
57325 CSRP2BP 20p11.23 0.9002 0 0
91782 CHMP7 8p21.3 0.8797 0 0
55968 NSFL1C 20p13 0.8762 0 0
9491 PSMF1 20p13 0.8677 0 0
55756 INTS9 8p21.1 0.8594 0 0
6143 RPL19 17q12 0.8552 0 0
9878 TOX4 14q11.2 0.8463 0 0
8795 TNFRSF10B 8p21.3 0.8412 0 0
51507 C20orf43 20q13.31 0.8404 0 0
661 POLR3D 8p21.3 0.8364 0 0
55909 BIN3 8p21.3 0.8362 0 0
55140 ELP3 8p21.1 0.8361 0 0
3035 HARS 5q31.3 0.8359 0 0
1457 CSNK2A1 20p13 0.8356 0 0
5786 PTPRA 20p13 0.8329 0 0
9513 FXR2 17p13.1 0.8303 0 0
64412 GZF1 20p11.21 0.8287 0 0
23514 KIAA0146 8q11.21 0.8259 0 0
57805 KIAA1967 8p21.3 0.82 0 0
1211 CLTA 9p13.3 0.8192 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.