Correlations between copy number and mRNAseq expression
Lung Adenocarcinoma (MAGNOID)
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/C19G5JWV
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 1015, 2059, 2768, 3422, 4066.5, 4695, 5368.9, 6066, 6896, 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 63 63 63
Genes 23778 18297 18208

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
9070 ASH2L 8p11.23 0.8966 0 0
11212 PROSC 8p11.23 0.8908 0 0
4705 NDUFA10 2q37.3 0.8883 0 0
51125 GOLGA7 8p11.21 0.872 0 0
80153 EDC3 15q24.1 0.87 0 0
830 CAPZA2 7q31.2 0.8671 0 0
11160 ERLIN2 8p11.23 0.864 0 0
7372 UMPS 3q21.2 0.8628 0 0
10778 ZNF271 18q12.2 0.8621 0 0
57461 ISY1 3q21.3 0.8621 0 0
1452 CSNK1A1 5q32 0.8565 0 0
7572 ZNF24 18q12.2 0.8494 0 0
91782 CHMP7 8p21.3 0.8494 0 0
9217 VAPB 20q13.32 0.8414 0 0
93621 MRFAP1 4p16.1 0.8409 0 0
22916 NCBP2 3q29 0.8405 0 0
55341 LSG1 3q29 0.8384 0 0
23259 DDHD2 8p11.23 0.8381 0 0
5528 PPP2R5D 6p21.1 0.8379 0 0
9477 MED20 6p21.1 0.8375 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.