Mutation Analysis (MutSigCV v0.6)
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: THCA-TP

  • Number of patients in set: 323

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
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: THCA-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: 60. 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
BRAF 558876 159661 833099 183 183 2 1 0 19 1.7 0 700 0.52 0
NRAS 149325 39406 199635 26 26 2 0 0 20 0 1.1e-16 130 0.22 1e-12
HRAS 155035 44759 133192 12 12 2 0 0 20 2.3 2.1e-15 50 0.21 1.3e-11
EMG1 218374 66439 238157 6 6 2 0 0 20 0.98 2.1e-13 43 0.21 9.8e-10
TG 2302519 671736 2604351 16 16 16 3 0 7 2.5 9.6e-12 76 0.22 3.5e-08
RPTN 619600 141797 123888 8 8 6 0 0 5 1.8 3e-10 47 0.22 9.2e-07
TMCO2 139101 39083 102577 3 3 1 0 0 20 0 7.7e-09 24 0.19 0.000018
PTTG1IP 114342 29393 222211 4 4 1 0 0 20 1.8 7.9e-09 29 0.21 0.000018
PRB2 293748 106426 164766 6 6 4 1 0 12 1.4 8.7e-09 32 0.21 0.000018
PPM1D 390309 111659 261876 5 5 5 0 0 20 0.98 1.4e-08 32 0.21 0.000025
GPR44 102245 34152 57612 4 4 2 0 0 20 2.9 3.1e-08 28 0.2 0.000051
EIF1AX 114975 26809 280235 6 5 5 0 0 20 1.1 1.1e-07 23 0.2 0.00017
ARMCX3 285644 81719 56258 3 3 2 0 0 20 0.4 4e-07 22 0.36 0.00057
DNMT3A 672210 187202 835204 5 5 5 0 0 18 0.81 7.1e-07 30 0.21 0.00092
LYPD3 248796 83756 172371 3 3 1 0 0 15 0.5 9.9e-07 22 0.2 0.0012
MUC7 268077 99695 94559 5 5 5 1 0 20 1.1 1.1e-06 22 0.2 0.0012
R3HDM2 476113 145905 519138 4 4 1 0 0 20 1.3 1.6e-06 27 0.2 0.0017
IL32 137903 35616 277748 3 3 1 0 0 20 2 2.6e-06 21 0.19 0.0026
MLL3 3714865 1055301 2815230 8 5 7 0 0 13 0 5.4e-06 29 0.21 0.0052
COL5A3 1156489 395795 2067239 6 6 6 0 0 20 1 0.000017 27 0.21 0.016
ACD 508642 173821 411723 3 3 2 0 0 20 0.32 2e-05 19 0.19 0.018
CHD2 1437259 367014 1661675 4 4 3 0 0 17 0.61 0.000031 26 0.21 0.026
ARID1B 1313581 368121 929182 6 6 6 0 0 5 0 0.000033 27 0.38 0.026
CRIPAK 320364 106465 52349 3 3 3 0 0 20 0.5 0.000034 16 0.19 0.026
SCUBE2 749459 199937 1113214 3 3 1 0 0 20 0.72 0.000046 20 0.2 0.034
KCNK12 91711 30065 11238 2 2 2 0 0 20 1.1 0.000055 15 0.18 0.035
ISYNA1 310216 97132 235557 2 2 2 0 0 20 0 0.000055 15 0.18 0.035
ARFGEF2 1365704 368207 1698022 4 4 4 0 0 20 0 0.000056 19 0.36 0.035
SLC34A2 523174 157090 560781 3 3 3 0 0 20 0 0.000058 16 0.19 0.035
PPTC7 177762 51034 248375 3 3 1 0 0 5 3.5 0.000059 20 0.2 0.035
TPTE2 418194 108403 935580 3 3 2 0 0 14 0 6e-05 16 0.18 0.035
CD3EAP 374917 119411 104631 2 2 1 0 0 20 0 0.000063 15 0.18 0.036
MSI1 179575 53506 428021 3 3 3 0 1 20 1.3 0.000066 16 0.19 0.036
ZFAND5 168072 44251 227686 2 2 2 0 0 20 0 0.000078 13 0.16 0.04
CIRH1A 533346 149002 732442 3 3 3 0 0 20 0 0.000079 16 0.19 0.04
BRAF

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

NRAS

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

HRAS

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

EMG1

Figure S4.  This figure depicts the distribution of mutations and mutation types across the EMG1 significant gene.

TG

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

RPTN

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

TMCO2

Figure S7.  This figure depicts the distribution of mutations and mutation types across the TMCO2 significant gene.

PTTG1IP

Figure S8.  This figure depicts the distribution of mutations and mutation types across the PTTG1IP significant gene.

PPM1D

Figure S9.  This figure depicts the distribution of mutations and mutation types across the PPM1D significant gene.

GPR44

Figure S10.  This figure depicts the distribution of mutations and mutation types across the GPR44 significant gene.

EIF1AX

Figure S11.  This figure depicts the distribution of mutations and mutation types across the EIF1AX significant gene.

ARMCX3

Figure S12.  This figure depicts the distribution of mutations and mutation types across the ARMCX3 significant gene.

DNMT3A

Figure S13.  This figure depicts the distribution of mutations and mutation types across the DNMT3A significant gene.

LYPD3

Figure S14.  This figure depicts the distribution of mutations and mutation types across the LYPD3 significant gene.

MUC7

Figure S15.  This figure depicts the distribution of mutations and mutation types across the MUC7 significant gene.

R3HDM2

Figure S16.  This figure depicts the distribution of mutations and mutation types across the R3HDM2 significant gene.

IL32

Figure S17.  This figure depicts the distribution of mutations and mutation types across the IL32 significant gene.

MLL3

Figure S18.  This figure depicts the distribution of mutations and mutation types across the MLL3 significant gene.

COL5A3

Figure S19.  This figure depicts the distribution of mutations and mutation types across the COL5A3 significant gene.

ACD

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

CHD2

Figure S21.  This figure depicts the distribution of mutations and mutation types across the CHD2 significant gene.

ARID1B

Figure S22.  This figure depicts the distribution of mutations and mutation types across the ARID1B significant gene.

CRIPAK

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

SCUBE2

Figure S24.  This figure depicts the distribution of mutations and mutation types across the SCUBE2 significant gene.

KCNK12

Figure S25.  This figure depicts the distribution of mutations and mutation types across the KCNK12 significant gene.

ISYNA1

Figure S26.  This figure depicts the distribution of mutations and mutation types across the ISYNA1 significant gene.

ARFGEF2

Figure S27.  This figure depicts the distribution of mutations and mutation types across the ARFGEF2 significant gene.

SLC34A2

Figure S28.  This figure depicts the distribution of mutations and mutation types across the SLC34A2 significant gene.

PPTC7

Figure S29.  This figure depicts the distribution of mutations and mutation types across the PPTC7 significant gene.

TPTE2

Figure S30.  This figure depicts the distribution of mutations and mutation types across the TPTE2 significant gene.

CD3EAP

Figure S31.  This figure depicts the distribution of mutations and mutation types across the CD3EAP significant gene.

MSI1

Figure S32.  This figure depicts the distribution of mutations and mutation types across the MSI1 significant gene.

ZFAND5

Figure S33.  This figure depicts the distribution of mutations and mutation types across the ZFAND5 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]

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