Brain Lower Grade Glioma: Correlations between copy number and mRNAseq expression
Maintained by TCGA GDAC Team (Broad Institute/Dana-Farber Cancer Institute/Harvard Medical School)
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 798.7, 1887.4, 2806.1, 3448.8, 4076, 4735.2, 5451, 6286, 7308.3, 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 144 47 47
Genes 23778 18344 18248

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
10576 CCT2 12q15 0.9551 0 0
4848 CNOT2 12q15 0.9497 0 0
60313 GPBP1L1 1p34.1 0.9455 0 0
9559 VPS26A 10q22.1 0.9306 0 0
908 CCT6A 7p11.2 0.9207 0 0
4193 MDM2 12q15 0.9168 0 0
8089 YEATS4 12q15 0.9158 0 0
4898 NRD1 1p32.3 0.9153 0 0
23560 GTPBP4 10p15.3 0.9152 0 0
6429 SRSF4 1p35.3 0.9127 0 0
51060 TXNDC12 1p32.3 0.9125 0 0
998 CDC42 1p36.12 0.9093 0 0
5511 PPP1R8 1p35.3 0.9067 0 0
23633 KPNA6 1p35.1 0.9029 0 0
51249 TMEM69 1p34.1 0.9013 0 0
51231 VRK3 19q13.33 0.9009 0 0
22826 DNAJC8 1p35.3 0.9008 0 0
79654 HECTD3 1p34.1 0.8979 0 0
10670 RRAGA 9p22.1 0.8967 0 0
6342 SCP2 1p32.3 0.8961 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.