Correlations between copy number and mRNAseq expression
Lung Adenocarcinoma (MOLECULAR_NONSMOKER)
07 February 2013  |  awg_luad__2013_02_07
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/C19C6VJF
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 985, 2044, 2723, 3380, 4019, 4659, 5330, 6022.8, 6806, 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 81 81 81
Genes 23778 18227 18137

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
11336 EXOC3 5p15.33 0.8957 0 0
4848 CNOT2 12q15 0.8868 0 0
65980 BRD9 5p15.33 0.8591 0 0
9217 VAPB 20q13.32 0.8585 0 0
79648 MCPH1 8p23.1 0.856 0 0
9070 ASH2L 8p11.23 0.8541 0 0
10210 TOPORS 9p21.1 0.8505 0 0
51125 GOLGA7 8p11.21 0.8466 0 0
137964 AGPAT6 8p11.21 0.8385 0 0
84902 CEP89 19q13.11 0.8371 0 0
133957 CCDC127 5p15.33 0.8353 0 0
57179 KIAA1191 5q35.2 0.8351 0 0
27297 CRCP 7q11.21 0.8344 0 0
55508 SLC35E3 12q15 0.8303 0 0
81790 RNF170 8p11.21 0.8262 0 0
5908 RAP1B 12q15 0.8238 0 0
908 CCT6A 7p11.2 0.8231 0 0
23480 SEC61G 7p11.2 0.8208 0 0
5786 PTPRA 20p13 0.8195 0 0
8658 TNKS 8p23.1 0.8194 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.