Correlations between copy number and mRNA expression
Colon Adenocarcinoma (Primary solid tumor)
21 April 2013 | analyses__2013_04_21
Maintainer Information
Citation Information
doi:10.7908/C1KH0K84
Maintained by John Zhang (MD Anderson Cancer Center)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Colon Adenocarcinoma (Primary solid tumor cohort) - 21 April 2013: Correlations between copy number and mRNA expression. Broad Institute of MIT and Harvard. doi:10.7908/C1KH0K84
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 expression 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 intensity of the expressions of the corresponding feature across patients. High positive/low negative correlation coefficients indicate that genomic alterations result in differences in the expressions of mRNA the genomic regions transcribe.

Summary

The correlation coefficients in 10, 20, 30, 40, 50, 60, 70, 80, 90 percentiles are -0.05139, 0.0114, 0.06453, 0.1214, 0.18545, 0.2609, 0.33347, 0.41328, 0.50719, 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 mRNA and number of samples in copy number and expression data sets and common to both

Category | Copy number | Expression | Common
--- | --- | --- | ---
Sample | 413 | 153 | 146
Genes | 24174 | 17815 | 15702

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

feature | r | p-value | q-value | chrom | start | end | geneid
--- | --- | --- | --- | --- | --- | --- | ---
CSNK2A1 | 0.8475 | 0 | 0 | 1457 | 20p13 | -0.201 | 0.504
PSMF1 | 0.8395 | 0 | 0 | 9491 | 20p13 | -0.201 | 0.504
CDC16 | 0.8381 | 0 | 0 | 8881 | 13q34 | 0.948 | 0.758
SMARCE1 | 0.8379 | 0 | 0 | 6605 | 17q21.2 | 0.039 | -0.260
CUL4A | 0.8354 | 0 | 0 | 8451 | 13q34 | 0.948 | 0.758
CRNKL1 | 0.8271 | 0 | 0 | 51340 | 20p11.23 | 2.081 | 0.504
SAP18 | 0.8235 | 0 | 0 | 10284 | 13q12.11 | 0.951 | 0.674
C20orf111 | 0.8168 | 0 | 0 | 51526 | 20q13.12 | 1.860 | 1.306
YTHDF1 | 0.8142 | 0 | 0 | 54915 | 20q13.33 | 1.860 | 1.306
C20orf43 | 0.8141 | 0 | 0 | 51507 | 20q13.31 | 1.860 | 1.306
ERBB2 | 0.811 | 0 | 0 | 2064 | 17q12 | 0.039 | -0.260
SNRPB2 | 0.811 | 0 | 0 | 6629 | 20p12.1 | 1.215 | 0.504
PUF60 | 0.81 | 0 | 0 | 22827 | 8q24.3 | 1.015 | 0.894
ENTPD6 | 0.8083 | 0 | 0 | 955 | 20p11.21 | 0.640 | 0.504
TRMT6 | 0.8063 | 0 | 0 | 51605 | 20p12.3 | -0.201 | 0.504
UBAC2 | 0.8025 | 0 | 0 | 337867 | 13q32.3 | 0.948 | 0.758
PCID2 | 0.8015 | 0 | 0 | 55795 | 13q34 | 0.948 | 0.758
SERINC3 | 0.8013 | 0 | 0 | 10955 | 20q13.12 | 1.860 | 1.306
TMTC4 | 0.8007 | 0 | 0 | 84899 | 13q32.3 | 0.948 | 0.758
RNF6 | 0.8002 | 0 | 0 | 6049 | 13q12.13 | 0.951 | 0.674

Methods & Data
Input

Gene level (TCGA Level III) expression data and copy number data of the corresponding loci derived by using the CNTools package of Bioconductor were used for the calculations. Pearson 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.

- Analysis Results (MD5 checksum)

- Auxiliary Data (MD5 checksum)

- MAGE-TAB File (MD5 checksum)

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