Mutation Analysis (MutSig 2CV v3.1)
Testicular Germ Cell Tumors (Primary solid tumor)
02 April 2015  |  analyses__2015_04_02
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/C1833R4M
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: TGCT-TP

  • Number of patients in set: 147

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:TGCT-TP.final_analysis_set.maf

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

  • Significantly mutated genes (q ≤ 0.1): 52

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: 52. 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 KIT v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog 3013 63 0 0 26 0 0 1 27 26 13 1e-16 1e-05 1e-05 1e-16 6.1e-13
2 KRAS v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog 709 127 0 0 19 0 0 0 19 19 7 1e-16 1e-05 0.0031 1e-16 6.1e-13
3 ANKLE1 ankyrin repeat and LEM domain containing 1 1883 67 0 0 1 0 0 11 12 12 7 1e-16 NaN NaN 1e-16 6.1e-13
4 FAM104B family with sequence similarity 104, member B 500 31 0 0 6 5 0 0 11 7 3 1.3e-11 1e-05 0.39 4.7e-15 2.1e-11
5 CSGALNACT2 chondroitin sulfate N-acetylgalactosaminyltransferase 2 1653 26 0 0 2 3 0 0 5 5 2 1.3e-07 6e-05 0.63 4.8e-10 1.8e-06
6 DDX11 DEAD/H (Asp-Glu-Ala-Asp/His) box polypeptide 11 (CHL1-like helicase homolog, S. cerevisiae) 3022 62 0 1 5 0 0 3 8 8 4 3.8e-06 1e-05 0.91 9.6e-10 2.9e-06
7 NRAS neuroblastoma RAS viral (v-ras) oncogene homolog 945 58 0 0 7 0 0 0 7 7 4 5.9e-07 0.00012 0.087 1.7e-09 4.5e-06
8 PNPLA4 patatin-like phospholipase domain containing 4 786 224 0 0 5 0 0 0 5 5 1 0.000025 3e-05 0.054 5.9e-09 0.000013
9 SERINC2 serine incorporator 2 1404 20 0 0 4 0 0 0 4 4 2 0.000026 0.0001 0.92 5.3e-08 0.00011
10 RBM10 RNA binding motif protein 10 2882 18 0 1 4 0 0 1 5 5 3 0.000056 0.00013 1 1.9e-07 0.00034
11 DEK DEK oncogene (DNA binding) 1168 13 0 0 5 0 0 0 5 5 2 0.000022 0.00038 1 2.4e-07 0.0004
12 ERC1 ELKS/RAB6-interacting/CAST family member 1 3421 7 0 0 7 0 0 0 7 7 3 0.0016 1e-05 0.0043 3e-07 0.00045
13 HSF4 heat shock transcription factor 4 1588 29 0 0 6 0 0 0 6 6 5 2.1e-07 0.072 0.76 3.4e-07 0.00047
14 MUC6 mucin 6, oligomeric mucus/gel-forming 7450 9 0 3 15 0 0 0 15 15 11 0.0019 1e-05 0.76 3.6e-07 0.00047
15 FANK1 fibronectin type III and ankyrin repeat domains 1 1078 125 0 0 0 4 0 0 4 4 1 0.000088 0.0011 1 1.8e-06 0.0022
16 MLLT3 myeloid/lymphoid or mixed-lineage leukemia (trithorax homolog, Drosophila); translocated to, 3 1747 55 0 1 1 0 0 3 4 4 2 0.0011 0.0001 0.94 1.9e-06 0.0022
17 RHPN2 rhophilin, Rho GTPase binding protein 2 2119 20 0 1 6 0 0 0 6 6 3 0.003 0.00021 0.014 2.5e-06 0.0027
18 SP8 Sp8 transcription factor 1533 28 0 0 6 0 0 0 6 6 1 0.00035 0.00053 0.98 3.7e-06 0.0037
19 KRTAP1-1 keratin associated protein 1-1 536 31 0 0 3 0 0 0 3 3 1 0.00026 0.001 0.87 4.2e-06 0.0041
20 ANKRD11 ankyrin repeat domain 11 8036 41 0 3 7 0 0 0 7 7 5 0.0057 3e-05 0.64 4.6e-06 0.0042
21 SPIN2A spindlin family, member 2A 781 75 0 0 3 0 0 0 3 3 1 0.00034 0.001 0.28 5.4e-06 0.0047
22 ATXN3 ataxin 3 1128 287 0 0 0 0 0 3 3 3 1 0.00041 0.001 0.99 6.5e-06 0.0052
23 MEF2A myocyte enhancer factor 2A 1696 54 0 1 3 0 0 0 3 3 1 0.000079 0.013 0.061 6.6e-06 0.0052
24 SSBP3 single stranded DNA binding protein 3 1235 147 0 0 3 0 0 0 3 3 1 0.00065 0.001 0.77 9.9e-06 0.0075
25 KRTAP10-10 keratin associated protein 10-10 758 8 0 2 5 0 0 0 5 5 1 0.00058 0.0012 0.69 1e-05 0.0076
26 BCL11B B-cell CLL/lymphoma 11B (zinc finger protein) 2697 54 0 0 5 0 0 0 5 5 3 0.0015 0.00042 1 0.000011 0.0076
27 FAM101B family with sequence similarity 101, member B 440 97 0 0 3 1 0 0 4 4 3 0.000013 0.057 0.98 0.000014 0.0096
28 PSMD11 proteasome (prosome, macropain) 26S subunit, non-ATPase, 11 1322 186 0 0 4 0 0 0 4 4 1 0.00023 0.0039 0.61 0.000017 0.011
29 FAM8A1 family with sequence similarity 8, member A1 1258 271 0 0 0 3 0 0 3 3 1 0.00072 0.0046 0.43 0.000021 0.013
30 SPTAN1 spectrin, alpha, non-erythrocytic 1 (alpha-fodrin) 7658 10 0 0 3 1 0 0 4 4 4 1.7e-06 1 0.82 0.000024 0.015
31 CRB2 crumbs homolog 2 (Drosophila) 3908 47 0 0 6 0 0 0 6 6 6 1.9e-06 1 0.48 0.000027 0.016
32 OPLAH 5-oxoprolinase (ATP-hydrolysing) 3975 115 0 2 4 0 0 0 4 4 2 0.0076 0.00028 0.82 3e-05 0.017
33 C22orf43 chromosome 22 open reading frame 43 734 345 0 0 3 0 0 0 3 3 1 0.0026 0.001 0.97 0.000035 0.02
34 GAS2L2 growth arrest-specific 2 like 2 2665 43 0 0 3 0 0 0 3 3 1 0.0032 0.001 0.48 0.000044 0.023
35 CDC27 cell division cycle 27 homolog (S. cerevisiae) 2565 4 0 1 2 3 1 0 6 6 4 0.000071 0.041 0.52 0.000051 0.026
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)