Mutation Analysis (MutSigCV v0.6)
Kidney Renal Papillary Cell Carcinoma (Primary solid tumor)
22 February 2013 | analyses__2013_02_22
Maintainer Information
Citation Information
doi:10.7908/C15B00NK
Maintained by Dan DiCara (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Mutation Analysis (MutSigCV v0.6). Broad Institute of MIT and Harvard. doi:10.7908/C15B00NK
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. MutSigCV v0.6 was used to generate the results found in this report.

- Working with individual set: KIRP-TP

- Number of patients in set: 103

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:KIRP-TP.final_analysis_set.maf

- Significantly mutated genes (q ≤ 0.1): 4

Results
Target Coverage for Each Individual

The x axis represents the samples. The y axis represents the exons, one row per exon, and they are sorted by average coverage across samples. For exons with exactly the same average coverage, they are sorted next by the %GC of the exon. (The secondary sort is especially useful for the zero-coverage exons at the bottom).

Figure 1.

Distribution of Mutation Counts, Coverage, and Mutation Rates Across Samples

Figure 2. Patients counts and rates file used to generate this plot: KIRP-TP.patients.counts_and_rates.txt

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

- nflank = number of noncoding mutations from this gene's flanking region, across the individual set

- 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: 4. 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).

gene | Nnon | Nsil | Nflank | nnon | npat | nsite | nsil | nflank | nnei | fMLE | p | score | time | q
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
NF2 | 131943 | 33269 | 17080 | 6 | 6 | 6 | 0 | 0 | 20 | 0.67 | 7.7e-09 | 36 | 0.093 | 0.00014
IL32 | 42024 | 11021 | 6649 | 4 | 4 | 2 | 0 | 0 | 20 | 0.68 | 8.4e-08 | 26 | 0.094 | 0.00077
ELF3 | 91567 | 25132 | 9638 | 4 | 4 | 3 | 0 | 0 | 20 | 0 | 5e-07 | 23 | 0.093 | 0.003
PIPOX | 95481 | 27913 | 9943 | 3 | 3 | 2 | 0 | 0 | 20 | 0 | 5.7e-06 | 20 | 0.09 | 0.026
SFRS2IP | 359161 | 95790 | 16775 | 5 | 5 | 2 | 1 | 0 | 20 | 0.5 | 0.000031 | 26 | 0.09 | 0.11
CDC27 | 200644 | 54281 | 21411 | 4 | 4 | 1 | 0 | 0 | 20 | 0.58 | 0.000039 | 24 | 0.091 | 0.12
POMC | 38728 | 11433 | 2135 | 3 | 3 | 3 | 0 | 0 | 20 | 0 | 0.000049 | 14 | 0.084 | 0.13
STAG2 | 321875 | 79928 | 39772 | 5 | 5 | 4 | 1 | 0 | 20 | 0.74 | 0.000084 | 27 | 0.094 | 0.19
PARD6B | 84769 | 24102 | 2562 | 4 | 4 | 4 | 0 | 0 | 20 | 0.77 | 0.00011 | 19 | 0.089 | 0.22
DARS | 125454 | 32857 | 19032 | 3 | 3 | 3 | 0 | 0 | 20 | 0 | 0.00013 | 16 | 0.085 | 0.23
SMARCB1 | 100734 | 27810 | 10858 | 3 | 3 | 3 | 0 | 0 | 16 | 0 | 0.00021 | 16 | 0.086 | 0.35
C6orf195 | 30282 | 9167 | 1464 | 2 | 2 | 2 | 0 | 0 | 20 | 0.97 | 0.00031 | 13 | 0.083 | 0.44
LRFN4 | 74778 | 28016 | 1647 | 3 | 3 | 3 | 0 | 0 | 20 | 0.5 | 0.00031 | 16 | 0.084 | 0.44
BHMT | 98674 | 27501 | 9211 | 3 | 3 | 3 | 0 | 0 | 20 | 0 | 0.00034 | 14 | 0.083 | 0.44
CUL3 | 188387 | 48307 | 18239 | 4 | 3 | 4 | 0 | 0 | 20 | 0 | 0.00036 | 16 | 0.089 | 0.44
RAB27B | 54590 | 14420 | 6283 | 2 | 2 | 1 | 0 | 0 | 20 | 0.44 | 0.00042 | 13 | 0.084 | 0.48
CALML4 | 48925 | 13081 | 6222 | 3 | 3 | 2 | 0 | 0 | 8 | 0 | 0.00045 | 11 | 0.081 | 0.48
SAV1 | 92494 | 25750 | 6222 | 3 | 3 | 3 | 0 | 0 | 20 | 0.74 | 0.00064 | 16 | 0.084 | 0.62
ARRB1 | 92494 | 26986 | 16287 | 3 | 3 | 2 | 0 | 0 | 20 | 0 | 0.00065 | 11 | 0.083 | 0.62
LGI4 | 50058 | 16068 | 3294 | 4 | 4 | 4 | 0 | 0 | 20 | 1.3 | 0.0011 | 13 | 0.084 | 1
SEPT7 | 74469 | 18746 | 9516 | 2 | 2 | 2 | 0 | 0 | 20 | 0.67 | 0.0012 | 13 | 0.084 | 1
LHFPL4 | 56753 | 17716 | 3538 | 2 | 2 | 1 | 0 | 0 | 20 | 0.58 | 0.0014 | 13 | 0.082 | 1
HOXA5 | 60976 | 16995 | 2684 | 2 | 2 | 2 | 0 | 0 | 20 | 0 | 0.0014 | 10 | 0.08 | 1
OGG1 | 207854 | 55723 | 21716 | 4 | 4 | 3 | 0 | 0 | 12 | 0.85 | 0.0014 | 20 | 0.095 | 1
LYAR | 97232 | 22557 | 9943 | 2 | 2 | 2 | 0 | 0 | 20 | 0 | 0.0015 | 10 | 0.078 | 1
CPXM1 | 156869 | 46659 | 15189 | 3 | 3 | 2 | 0 | 0 | 20 | 0 | 0.0015 | 13 | 0.082 | 1
MRPL54 | 30385 | 9064 | 3477 | 2 | 2 | 2 | 0 | 0 | 20 | 0 | 0.0017 | 7.9 | 0.067 | 1
POU4F2 | 79928 | 23896 | 2623 | 2 | 2 | 1 | 0 | 0 | 20 | 0.52 | 0.0018 | 13 | 0.086 | 1
LBR | 151204 | 42539 | 15616 | 3 | 3 | 3 | 0 | 0 | 20 | 0 | 0.0019 | 10 | 0.078 | 1
STARD3 | 109695 | 29458 | 15616 | 2 | 2 | 2 | 0 | 0 | 20 | 0 | 0.002 | 13 | 0.083 | 1
IFNA16 | 45938 | 12566 | 1464 | 2 | 2 | 1 | 0 | 0 | 20 | 0 | 0.002 | 7.6 | 0.065 | 1
TNKS2 | 269757 | 76735 | 30561 | 3 | 3 | 2 | 0 | 0 | 20 | 0 | 0.0023 | 13 | 0.086 | 1
TMEM37 | 42951 | 13905 | 1342 | 2 | 2 | 1 | 0 | 0 | 20 | 0 | 0.0024 | 7.8 | 0.067 | 1
ZNF30 | 150174 | 37492 | 3111 | 3 | 3 | 3 | 0 | 0 | 13 | 0 | 0.0025 | 13 | 0.087 | 1
SERPINB10 | 98056 | 24720 | 8479 | 2 | 2 | 2 | 0 | 0 | 20 | 0 | 0.0027 | 10 | 0.076 | 1

NF2

Figure S1. This figure depicts the distribution of mutations and mutation types across the NF2 significant gene.

IL32

Figure S2. This figure depicts the distribution of mutations and mutation types across the IL32 significant gene.

ELF3

Figure S3. This figure depicts the distribution of mutations and mutation types across the ELF3 significant gene.

PIPOX

Figure S4. This figure depicts the distribution of mutations and mutation types across the PIPOX 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

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.

- Analysis Results (MD5 checksum)

- Auxiliary Data (MD5 checksum)

- MAGE-TAB File (MD5 checksum)

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