Correlations between copy number and mRNAseq expression
Lymphoid Neoplasm Diffuse Large B-cell Lymphoma (Primary solid tumor)
15 January 2014  |  analyses__2014_01_15
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 (2014): Correlations between copy number and mRNAseq expression. Broad Institute of MIT and Harvard. doi:10.7908/C1HD7T3S
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 773, 1738.4, 2909, 3579.8, 4207, 4834, 5508.4, 6238, 7073, 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 28 28 28
Genes 23778 17576 17493

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
266722 HS6ST3 13q32.1 0.9397 1.73920414119344e-05 0.302534560360599
5194 PEX13 2p16.1 0.8687 2.05811212516949e-09 3.60025554055898e-05
150684 COMMD1 2p15 0.8472 1.29852351093973e-08 0.000227137732533578
175 AGA 4q34.3 0.8382 2.59486694353939e-08 0.000453868177094474
79726 WDR59 16q23.1 0.8375 2.73269702422141e-08 0.000477948709536324
8443 GNPAT 1q42.2 0.8327 3.87781682320565e-08 0.000678191384210436
55677 IWS1 2q14.3 0.8267 5.92569100454909e-08 0.00103628484287555
10425 ARIH2 3p21.31 0.8253 6.50746843078309e-08 0.00113796100449104
7323 UBE2D3 4q24 0.8193 9.72969580459448e-08 0.00170133460839139
29117 BRD7 16q12.1 0.8159 1.21696460908538e-07 0.00212786261898579
157556 C8orf56 8q22.3 0.8131 0.00422912485453963 1
7360 UGP2 2p15 0.8124 1.51685145333147e-07 0.00265206308100474
4101 MAGEA2 Xq28 0.8123 0.00430018191830372 1
402135 OR5K2 3q11.2 0.8115 0.00437221075269756 1
64922 LRRC19 9p21.2 0.8109 2.53101589848814e-05 0.439586841249421
55249 YY1AP1 1q22 0.8078 2.02156745121584e-07 0.00353430637496066
635 BHMT 5q14.1 0.8072 0.00853948021583473 1
3257 HPS1 10q24.2 0.8037 2.60596201950847e-07 0.0045557428025047
123169 LEO1 15q21.2 0.802 2.87697636380813e-07 0.00502924238157298
1874 E2F4 16q22.1 0.8014 2.99176182050331e-07 0.00522959966223979
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.