Kidney Renal Clear Cell Carcinoma: 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 654.2, 1589.4, 2019, 2419, 2816, 3231.2, 3686, 4191.6, 4854, 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 489 469 459
Genes 22749 19343 18473

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
4140 MARK3 14q32.32 0.6877 0 0
8816 DCAF5 14q24.1 0.6859 0 0
91833 WDR20 14q32.31 0.6583 0 0
10038 PARP2 14q11.2 0.6548 0 0
91754 NEK9 14q24.3 0.6464 0 0
11154 AP4S1 14q12 0.6386 0 0
92399 MRRF 9q33.2 0.6326 0 0
25983 NGDN 14q11.2 0.6284 0 0
10001 MED6 14q24.2 0.6259 0 0
10342 TFG 3q12.2 0.6172 0 0
6429 SRSF4 1p35.3 0.6144 0 0
55154 MSTO1 1q22 0.613 0 0
404734 ANKHD1-EIF4EBP3 5q31.3 0.6078 0 0
54455 FBXO42 1p36.13 0.6049 0 0
55778 ZNF839 14q32.31 0.6008 0 0
122553 TRAPPC6B 14q21.1 0.6005 0 0
64432 MRPS25 3p25.1 0.5977 0 0
55780 C6orf70 6q27 0.5966 0 0
55072 RNF31 14q12 0.5957 0 0
56948 SDR39U1 14q12 0.5943 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. Location of data archives could not be determined.

Meta
  • Maintainer = TCGA GDAC Team