Stomach Adenocarcinoma: 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 1060.2, 2147, 2850.6, 3529.8, 4215, 4900, 5561, 6313, 7139.8, 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 132 57 57
Genes 22749 19382 18553

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
84060 RBM48 7q21.2 0.9432 0 0
84299 MIEN1 17q12 0.9348 0 0
889 KRIT1 7q21.2 0.9262 0 0
55717 WDR11 10q26.12 0.9233 0 0
54994 C20orf11 20q13.33 0.9186 0 0
4848 CNOT2 12q15 0.9143 0 0
9862 MED24 17q21.1 0.9139 0 0
6873 TAF2 8q24.12 0.9118 0 0
830 CAPZA2 7q31.2 0.9057 0 0
54467 ANKIB1 7q21.2 0.9008 0 0
10210 TOPORS 9p21.1 0.8981 0 0
5786 PTPRA 20p13 0.8947 0 0
55610 CCDC132 7q21.3 0.8888 0 0
79648 MCPH1 8p23.1 0.8858 0 0
10564 ARFGEF2 20q13.13 0.8833 0 0
4799 NFX1 9p13.3 0.8828 0 0
9777 TM9SF4 20q11.21 0.8821 0 0
5709 PSMD3 17q21.1 0.8812 0 0
54904 WHSC1L1 8p11.23 0.8794 0 0
2064 ERBB2 17q12 0.8786 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