Mutation Analysis (MutSig 2CV v3.1)
Colon Adenocarcinoma (Primary solid tumor)
21 August 2015  |  analyses__2015_08_21
Maintainer Information
Citation Information
Maintained by David Heiman (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2015): Mutation Analysis (MutSig 2CV v3.1). Broad Institute of MIT and Harvard. doi:10.7908/C1TD9WJ0
Overview
Introduction

This report serves to describe the mutational landscape and properties of a given individual set, as well as rank genes and genesets according to mutational significance. MutSig 2CV v3.1 was used to generate the results found in this report.

  • Working with individual set: COAD-TP

  • Number of patients in set: 367

Input

The input for this pipeline is a set of individuals with the following files associated for each:

  1. An annotated .maf file describing the mutations called for the respective individual, and their properties.

  2. A .wig file that contains information about the coverage of the sample.

Summary
  • MAF used for this analysis:COAD-TP.final_analysis_set.maf

  • Blacklist used for this analysis: pancan_mutation_blacklist.v14.hg19.txt

  • Significantly mutated genes (q ≤ 0.1): 1436

Results
Lego Plots

The mutation spectrum is depicted in the lego plots below in which the 96 possible mutation types are subdivided into six large blocks, color-coded to reflect the base substitution type. Each large block is further subdivided into the 16 possible pairs of 5' and 3' neighbors, as listed in the 4x4 trinucleotide context legend. The height of each block corresponds to the mutation frequency for that kind of mutation (counts of mutations normalized by the base coverage in a given bin). The shape of the spectrum is a signature for dominant mutational mechanisms in different tumor types.

Figure 1.  Get High-res Image SNV Mutation rate lego plot for entire set. Each bin is normalized by base coverage for that bin. Colors represent the six SNV types on the upper right. The three-base context for each mutation is labeled in the 4x4 legend on the lower right. The fractional breakdown of SNV counts is shown in the pie chart on the upper left. If this figure is blank, not enough information was provided in the MAF to generate it.

Figure 2.  Get High-res Image SNV Mutation rate lego plots for 4 slices of mutation allele fraction (0<=AF<0.1, 0.1<=AF<0.25, 0.25<=AF<0.5, & 0.5<=AF) . The color code and three-base context legends are the same as the previous figure. If this figure is blank, not enough information was provided in the MAF to generate it.

CoMut Plot

Figure 3.  Get High-res Image The matrix in the center of the figure represents individual mutations in patient samples, color-coded by type of mutation, for the significantly mutated genes. The rate of synonymous and non-synonymous mutations is displayed at the top of the matrix. The barplot on the left of the matrix shows the number of mutations in each gene. The percentages represent the fraction of tumors with at least one mutation in the specified gene. The barplot to the right of the matrix displays the q-values for the most significantly mutated genes. The purple boxplots below the matrix (only displayed if required columns are present in the provided MAF) represent the distributions of allelic fractions observed in each sample. The plot at the bottom represents the base substitution distribution of individual samples, using the same categories that were used to calculate significance.

Significantly Mutated Genes

Column Descriptions:

  • nnon = number of (nonsilent) mutations in this gene across the individual set

  • npat = number of patients (individuals) with at least one nonsilent mutation

  • nsite = number of unique sites having a non-silent mutation

  • nsil = number of silent mutations in this gene across the individual set

  • p = p-value (overall)

  • q = q-value, False Discovery Rate (Benjamini-Hochberg procedure)

Table 1.  Get Full Table A Ranked List of Significantly Mutated Genes. Number of significant genes found: 1436. Number of genes displayed: 35. Click on a gene name to display its stick figure depicting the distribution of mutations and mutation types across the chosen gene (this feature may not be available for all significant genes).

rank gene longname codelen nnei nncd nsil nmis nstp nspl nind nnon npat nsite pCV pCL pFN p q
1 APC adenomatous polyposis coli 8592 0 0 169 269 267 25 104 665 295 372 1e-16 1e-05 1 1e-16 4.6e-13
2 TP53 tumor protein p53 1890 0 0 63 258 35 22 23 338 232 189 1e-16 1e-05 1e-05 1e-16 4.6e-13
3 ARID1A AT rich interactive domain 1A (SWI-like) 6934 4 0 17 43 17 4 19 83 72 63 1e-16 1e-05 0.089 1e-16 4.6e-13
4 RNF43 ring finger protein 43 2384 5 0 1 15 2 1 37 55 46 27 1e-16 1e-05 0.32 1e-16 4.6e-13
5 SOX9 SRY (sex determining region Y)-box 9 (campomelic dysplasia, autosomal sex-reversal) 1538 1 0 0 7 5 1 27 40 36 37 1e-16 0.042 0.47 2.2e-16 8.1e-13
6 FAM123B family with sequence similarity 123B 3412 25 0 6 19 24 0 10 53 50 41 1.2e-14 0.044 0.87 6.1e-14 1.9e-10
7 TXNDC2 thioredoxin domain-containing 2 (spermatozoa) 1672 46 0 2 5 1 0 19 25 22 9 2.8e-10 1e-05 0.97 9.6e-14 2.5e-10
8 ACVR1B activin A receptor, type IB 1679 9 0 0 21 6 0 3 30 26 25 7.1e-11 0.00012 0.12 3.1e-13 7e-10
9 B2M beta-2-microglobulin 374 4 0 1 6 2 5 6 19 15 14 3.4e-13 0.027 0.21 4.1e-13 7.6e-10
10 BCOR BCL6 co-repressor 5324 0 0 5 9 9 2 8 28 27 25 5.7e-12 0.066 0.0041 4.1e-13 7.6e-10
11 CDH1 cadherin 1, type 1, E-cadherin (epithelial) 2709 0 0 17 63 9 12 4 88 74 65 3.4e-09 1e-05 0.33 1.1e-12 1.8e-09
12 MLH1 mutL homolog 1, colon cancer, nonpolyposis type 2 (E. coli) 4163 1 0 14 37 2 16 8 63 53 45 2e-08 1e-05 0.085 6.1e-12 9.2e-09
13 NTAN1 N-terminal asparagine amidase 971 2 0 1 2 0 0 8 10 10 5 3.4e-08 1e-05 0.99 1e-11 1.4e-08
14 ZFP36L2 zinc finger protein 36, C3H type-like 2 1489 23 0 1 1 1 0 12 14 14 11 8.2e-11 0.0017 0.29 1.1e-11 1.4e-08
15 WNT1 wingless-type MMTV integration site family, member 1 1125 1 0 0 0 0 0 7 7 7 1 6.9e-08 1e-05 1e-05 2e-11 2.4e-08
16 BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) 3165 4 0 4 19 13 1 7 40 35 37 1.6e-11 0.063 0.9 5.6e-11 6.4e-08
17 SELPLG selectin P ligand 1217 21 0 1 5 0 0 12 17 16 9 9.9e-08 0.0001 0.57 4.8e-10 5.2e-07
18 CRIPAK cysteine-rich PAK1 inhibitor 1341 43 0 2 7 1 0 10 18 18 10 2.1e-06 1e-05 0.0088 5.3e-10 5.4e-07
19 KDM6A lysine (K)-specific demethylase 6A 4318 10 0 5 22 1 2 2 27 27 19 2.2e-06 1e-05 0.45 5.6e-10 5.4e-07
20 MAPK6 mitogen-activated protein kinase 6 2182 16 0 1 16 0 2 0 18 18 13 3.5e-06 1e-05 0.061 8.8e-10 8e-07
21 RHOA ras homolog gene family, member A 918 5 0 0 6 3 1 2 12 12 8 8.9e-09 0.0023 0.41 1.1e-09 9.5e-07
22 FMN2 formin 2 5237 0 0 12 28 1 1 28 58 49 36 7.9e-06 1e-05 1 1.9e-09 1.6e-06
23 STARD3NL STARD3 N-terminal like 737 46 0 2 13 0 0 0 13 13 5 9.1e-06 1e-05 0.006 2.2e-09 1.7e-06
24 NF2 neurofibromin 2 (merlin) 1894 0 0 24 51 14 10 1 76 62 59 0.000022 1e-05 0.19 5.1e-09 3.8e-06
25 NF1 neurofibromin 1 (neurofibromatosis, von Recklinghausen disease, Watson disease) 12120 3 0 41 87 13 21 2 123 89 91 0.000029 1e-05 0.018 6.8e-09 4.9e-06
26 OR4D10 olfactory receptor, family 4, subfamily D, member 10 936 91 0 2 15 0 0 0 15 14 9 0.000031 1e-05 0.02 7.1e-09 4.9e-06
27 PRKDC protein kinase, DNA-activated, catalytic polypeptide 12728 17 0 19 66 5 9 8 88 63 71 0.000031 1e-05 0.78 7.2e-09 4.9e-06
28 MGA MAX gene associated 9290 1 0 7 30 3 2 10 45 37 35 0.000035 1e-05 1 8e-09 5.2e-06
29 P2RY13 purinergic receptor P2Y, G-protein coupled, 13 1071 19 0 2 14 1 0 0 15 15 11 8.9e-06 0.0001 0.051 1.8e-08 0.000011
30 MVK mevalonate kinase 1398 18 0 2 5 0 0 10 15 14 6 0.00011 1e-05 0.00067 2.3e-08 0.000014
31 ATXN3L ataxin 3-like 1068 17 0 1 16 1 0 1 18 17 14 0.000017 2e-05 0.3 2.6e-08 0.000015
32 FBXW7 F-box and WD repeat domain containing 7 2580 0 1 42 89 20 5 4 118 102 71 0.00016 1e-05 0.02 3.4e-08 0.000019
33 DIP2B DIP2 disco-interacting protein 2 homolog B (Drosophila) 4879 52 0 9 15 2 11 0 28 27 20 0.000018 0.00012 0.12 3.4e-08 0.000019
34 RBMX RNA binding motif protein, X-linked 1265 0 0 4 7 0 0 12 19 17 7 0.00017 1e-05 0.77 3.5e-08 0.000019
35 SMAD2 SMAD family member 2 1444 59 0 1 9 7 2 0 18 16 14 2.6e-07 0.044 0.042 6.3e-08 0.000032
APC

Figure S1.  This figure depicts the distribution of mutations and mutation types across the APC significant gene.

TP53

Figure S2.  This figure depicts the distribution of mutations and mutation types across the TP53 significant gene.

ARID1A

Figure S3.  This figure depicts the distribution of mutations and mutation types across the ARID1A significant gene.

RNF43

Figure S4.  This figure depicts the distribution of mutations and mutation types across the RNF43 significant gene.

SOX9

Figure S5.  This figure depicts the distribution of mutations and mutation types across the SOX9 significant gene.

FAM123B

Figure S6.  This figure depicts the distribution of mutations and mutation types across the FAM123B significant gene.

TXNDC2

Figure S7.  This figure depicts the distribution of mutations and mutation types across the TXNDC2 significant gene.

ACVR1B

Figure S8.  This figure depicts the distribution of mutations and mutation types across the ACVR1B significant gene.

B2M

Figure S9.  This figure depicts the distribution of mutations and mutation types across the B2M significant gene.

BCOR

Figure S10.  This figure depicts the distribution of mutations and mutation types across the BCOR significant gene.

CDH1

Figure S11.  This figure depicts the distribution of mutations and mutation types across the CDH1 significant gene.

MLH1

Figure S12.  This figure depicts the distribution of mutations and mutation types across the MLH1 significant gene.

NTAN1

Figure S13.  This figure depicts the distribution of mutations and mutation types across the NTAN1 significant gene.

ZFP36L2

Figure S14.  This figure depicts the distribution of mutations and mutation types across the ZFP36L2 significant gene.

WNT1

Figure S15.  This figure depicts the distribution of mutations and mutation types across the WNT1 significant gene.

BMPR2

Figure S16.  This figure depicts the distribution of mutations and mutation types across the BMPR2 significant gene.

SELPLG

Figure S17.  This figure depicts the distribution of mutations and mutation types across the SELPLG significant gene.

CRIPAK

Figure S18.  This figure depicts the distribution of mutations and mutation types across the CRIPAK significant gene.

KDM6A

Figure S19.  This figure depicts the distribution of mutations and mutation types across the KDM6A significant gene.

MAPK6

Figure S20.  This figure depicts the distribution of mutations and mutation types across the MAPK6 significant gene.

RHOA

Figure S21.  This figure depicts the distribution of mutations and mutation types across the RHOA significant gene.

FMN2

Figure S22.  This figure depicts the distribution of mutations and mutation types across the FMN2 significant gene.

STARD3NL

Figure S23.  This figure depicts the distribution of mutations and mutation types across the STARD3NL significant gene.

NF2

Figure S24.  This figure depicts the distribution of mutations and mutation types across the NF2 significant gene.

NF1

Figure S25.  This figure depicts the distribution of mutations and mutation types across the NF1 significant gene.

OR4D10

Figure S26.  This figure depicts the distribution of mutations and mutation types across the OR4D10 significant gene.

PRKDC

Figure S27.  This figure depicts the distribution of mutations and mutation types across the PRKDC significant gene.

MGA

Figure S28.  This figure depicts the distribution of mutations and mutation types across the MGA significant gene.

P2RY13

Figure S29.  This figure depicts the distribution of mutations and mutation types across the P2RY13 significant gene.

MVK

Figure S30.  This figure depicts the distribution of mutations and mutation types across the MVK significant gene.

ATXN3L

Figure S31.  This figure depicts the distribution of mutations and mutation types across the ATXN3L significant gene.

FBXW7

Figure S32.  This figure depicts the distribution of mutations and mutation types across the FBXW7 significant gene.

DIP2B

Figure S33.  This figure depicts the distribution of mutations and mutation types across the DIP2B significant gene.

Methods & Data
Methods

In brief, we tabulate the number of mutations and the number of covered bases for each gene. The counts are broken down by mutation context category: four context categories that are discovered by MutSig, and one for indel and 'null' mutations, which include indels, nonsense mutations, splice-site mutations, and non-stop (read-through) mutations. For each gene, we calculate the probability of seeing the observed constellation of mutations, i.e. the product P1 x P2 x ... x Pm, or a more extreme one, given the background mutation rates calculated across the dataset. [1]

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.

References
[1] TCGA, Integrated genomic analyses of ovarian carcinoma, Nature 474:609 - 615 (2011)