Mutation Analysis (MutSig v2.0 and MutSigCV v0.9 merged result)
Pancreatic Adenocarcinoma (Primary solid tumor)
16 April 2014  |  analyses__2014_04_16
Maintainer Information
Citation Information
doi:10.7908/C1SQ8Z2Z
Maintained by Dan DiCara (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2014): Mutation Analysis (MutSig v2.0 and MutSigCV v0.9 merged result). Broad Institute of MIT and Harvard. doi:10.7908/C1SQ8Z2Z
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 v2.0 and MutSigCV v0.9 merged result was used to generate the results found in this report.

  • Working with individual set: PAAD-TP

  • Number of patients in set: 91

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:PAAD-TP.final_analysis_set.maf

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

  • Significantly mutated genes (q ≤ 0.1): 448

  • Mutations seen in COSMIC: 233

  • Significantly mutated genes in COSMIC territory: 10

  • Significantly mutated genesets: 39

Mutation Preprocessing

  • Read 91 MAFs of type "Broad"

  • Total number of mutations in input MAFs: 46505

  • After removing 41 mutations outside chr1-24: 46464

  • After removing 9234 blacklisted mutations: 37230

  • After removing 2712 noncoding mutations: 34518

  • After collapsing adjacent/redundant mutations: 34144

Mutation Filtering

  • Number of mutations before filtering: 34144

  • After removing 1706 mutations outside gene set: 32438

  • After removing 186 mutations outside category set: 32252

Results
Breakdown of Mutations by Type

Table 1.  Get Full Table Table representing breakdown of mutations by type.

type count
Frame_Shift_Del 2148
Frame_Shift_Ins 759
In_Frame_Del 2235
In_Frame_Ins 57
Missense_Mutation 17837
Nonsense_Mutation 1093
Nonstop_Mutation 22
Silent 6936
Splice_Site 1019
Translation_Start_Site 146
Total 32252
Breakdown of Mutation Rates by Category Type

Table 2.  Get Full Table A breakdown of mutation rates per category discovered for this individual set.

category n N rate rate_per_mb relative_rate exp_ns_s_ratio
*CpG->T 5900 159989074 0.000037 37 4 2.1
*Cp(A/C/T)->T 4352 1265837400 3.4e-06 3.4 0.38 1.7
C->(G/A) 4257 1425826474 3e-06 3 0.33 4.7
A->mut 3430 1349588894 2.5e-06 2.5 0.28 3.9
indel+null 7213 2775415368 2.6e-06 2.6 0.28 NaN
double_null 164 2775415368 5.9e-08 0.059 0.0065 NaN
Total 25316 2775415368 9.1e-06 9.1 1 3.5
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). If the figure is unpopulated, then full coverage is assumed (e.g. MutSig CV doesn't use WIGs and assumes full coverage).

Figure 1. 

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

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

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 3.  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 4.  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 5.  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:

  • N = number of sequenced bases in this gene across the individual set

  • n = 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

  • n1 = number of nonsilent mutations of type: *CpG->T

  • n2 = number of nonsilent mutations of type: *Cp(A/C/T)->T

  • n3 = number of nonsilent mutations of type: C->(G/A)

  • n4 = number of nonsilent mutations of type: A->mut

  • n5 = number of nonsilent mutations of type: indel+null

  • n6 = number of nonsilent mutations of type: double_null

  • p_cons = p-value for enrichment of mutations at evolutionarily most-conserved sites in gene

  • p_joint = p-value for clustering + conservation

  • p = p-value (overall)

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

Table 3.  Get Full Table A Ranked List of Significantly Mutated Genes. Number of significant genes found: 448. 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 description N n npat nsite nsil n1 n2 n3 n4 n5 n6 p_clust p_cons p_joint p_cv p q
1 ATRX alpha thalassemia/mental retardation syndrome X-linked (RAD54 homolog, S. cerevisiae) 690426 7 7 2 1 0 0 0 0 7 0 0 0.97 0 0.3 0 0
2 GRIN1 glutamate receptor, ionotropic, N-methyl D-aspartate 1 235319 7 7 2 0 0 0 0 0 7 0 4e-07 0.00039 0 8e-07 0 0
3 DHX9 DEAH (Asp-Glu-Ala-His) box polypeptide 9 356751 10 9 4 2 1 0 0 0 8 1 1.2e-06 0.088 0 0.18 0 0
4 HIBCH 3-hydroxyisobutyryl-Coenzyme A hydrolase 110122 8 8 1 0 0 0 0 0 8 0 0 0.99 0 3.1e-11 0 0
5 AFTPH aftiphilin 256838 15 14 3 0 0 0 1 1 13 0 0 6e-07 0 1.6e-14 0 0
6 APP amyloid beta (A4) precursor protein (peptidase nexin-II, Alzheimer disease) 211429 12 10 4 0 0 1 1 0 10 0 0 0.91 0 3.5e-07 0 0
7 TMC4 transmembrane channel-like 4 180364 19 19 2 0 0 0 0 1 18 0 0 0.044 0 0 0 0
8 KIAA0020 KIAA0020 177868 5 5 1 1 0 0 0 0 5 0 0 0.88 0 0.0016 0 0
9 BRDT bromodomain, testis-specific 264435 17 17 2 0 0 0 1 0 16 0 0 0.13 0 2.8e-15 0 0
10 SETD1A SET domain containing 1A 444042 17 17 1 0 0 0 0 0 17 0 0 0.76 0 8.8e-15 0 0
11 SEH1L SEH1-like (S. cerevisiae) 119619 18 17 2 0 0 0 0 0 18 0 0 1 0 1e-14 0 0
12 IRS1 insulin receptor substrate 1 339636 15 15 3 1 0 0 1 0 14 0 0 1 0 4.4e-13 0 0
13 PLAUR plasminogen activator, urokinase receptor 94273 6 6 1 0 0 0 0 0 6 0 0 0.97 0 7.1e-08 0 0
14 TERF1 telomeric repeat binding factor (NIMA-interacting) 1 120427 6 6 1 0 0 0 0 0 6 0 0 0.49 0 0.00013 0 0
15 PDILT protein disulfide isomerase-like, testis expressed 163708 11 11 2 0 0 0 1 0 10 0 0 1 0 3.2e-06 0 0
16 CUX2 cut-like homeobox 2 373090 14 11 6 1 2 1 1 0 10 0 0 1 0 2.1e-08 0 0
17 KRT73 keratin 73 150947 10 10 2 0 0 0 0 0 10 0 0 0.95 0 2e-11 0 0
18 TAOK2 TAO kinase 2 413541 23 20 6 1 0 1 1 1 20 0 0 0.033 0 0 0 0
19 SORBS2 sorbin and SH3 domain containing 2 323945 17 17 4 1 0 2 0 0 15 0 0 0.62 0 5.2e-15 0 0
20 ATG16L2 ATG16 autophagy related 16-like 2 (S. cerevisiae) 136042 5 5 1 0 0 0 0 0 5 0 0 0.83 0 0.000019 0 0
21 CCM2 cerebral cavernous malformation 2 130782 2 2 2 2 1 0 0 0 1 0 0.19 0 0 0.27 0 0
22 PTCD1 pentatricopeptide repeat domain 1 193827 8 8 1 0 0 0 0 0 8 0 0 0.98 0 0.037 0 0
23 FAM198B family with sequence similarity 198, member B 152854 6 6 2 1 0 0 1 0 5 0 0 0.81 0 0.00022 0 0
24 NDEL1 nudE nuclear distribution gene E homolog (A. nidulans)-like 1 100837 5 5 1 2 0 0 0 0 5 0 0 0.68 0 6.8e-06 0 0
25 NFIL3 nuclear factor, interleukin 3 regulated 126761 11 11 2 0 0 1 0 0 10 0 0 1 0 1.5e-14 0 0
26 ATP13A3 ATPase type 13A3 345178 11 11 2 0 0 0 1 0 10 0 0 0.98 0 1e-10 0 0
27 IPP intracisternal A particle-promoted polypeptide 162560 17 17 2 0 0 0 0 0 16 1 0 1 0 1.4e-14 0 0
28 GAS2L2 growth arrest-specific 2 like 2 241174 23 23 4 0 0 0 0 3 20 0 0 0.34 0 0 0 0
29 XRCC2 X-ray repair complementing defective repair in Chinese hamster cells 2 77795 5 5 1 0 0 0 0 0 5 0 0 0.00068 0 6.9e-08 0 0
30 ZBTB33 zinc finger and BTB domain containing 33 184042 6 6 2 0 0 0 0 0 6 0 0 0.17 0 5.6e-06 0 0
31 PTPRF protein tyrosine phosphatase, receptor type, F 504756 20 17 6 3 4 0 0 1 15 0 0 1 0 1.3e-12 0 0
32 UBXN6 UBX domain protein 6 120516 10 9 3 0 0 0 1 1 8 0 0 0.99 0 5.9e-11 0 0
33 MEPCE methylphosphate capping enzyme 157888 19 18 3 0 0 0 0 0 19 0 0 1 0 6.3e-15 0 0
34 CRAT carnitine acetyltransferase 170688 6 6 1 0 0 0 0 0 6 0 0 1 0 1.8e-06 0 0
35 MBD3 methyl-CpG binding domain protein 3 80639 13 13 2 0 0 1 0 0 12 0 0 1 0 1.3e-14 0 0
ATRX

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

GRIN1

Figure S2.  This figure depicts the distribution of mutations and mutation types across the GRIN1 significant gene.

DHX9

Figure S3.  This figure depicts the distribution of mutations and mutation types across the DHX9 significant gene.

HIBCH

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

AFTPH

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

APP

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

TMC4

Figure S7.  This figure depicts the distribution of mutations and mutation types across the TMC4 significant gene.

KIAA0020

Figure S8.  This figure depicts the distribution of mutations and mutation types across the KIAA0020 significant gene.

BRDT

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

SETD1A

Figure S10.  This figure depicts the distribution of mutations and mutation types across the SETD1A significant gene.

SEH1L

Figure S11.  This figure depicts the distribution of mutations and mutation types across the SEH1L significant gene.

IRS1

Figure S12.  This figure depicts the distribution of mutations and mutation types across the IRS1 significant gene.

PLAUR

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

TERF1

Figure S14.  This figure depicts the distribution of mutations and mutation types across the TERF1 significant gene.

PDILT

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

CUX2

Figure S16.  This figure depicts the distribution of mutations and mutation types across the CUX2 significant gene.

KRT73

Figure S17.  This figure depicts the distribution of mutations and mutation types across the KRT73 significant gene.

TAOK2

Figure S18.  This figure depicts the distribution of mutations and mutation types across the TAOK2 significant gene.

SORBS2

Figure S19.  This figure depicts the distribution of mutations and mutation types across the SORBS2 significant gene.

ATG16L2

Figure S20.  This figure depicts the distribution of mutations and mutation types across the ATG16L2 significant gene.

CCM2

Figure S21.  This figure depicts the distribution of mutations and mutation types across the CCM2 significant gene.

FAM198B

Figure S22.  This figure depicts the distribution of mutations and mutation types across the FAM198B significant gene.

NDEL1

Figure S23.  This figure depicts the distribution of mutations and mutation types across the NDEL1 significant gene.

NFIL3

Figure S24.  This figure depicts the distribution of mutations and mutation types across the NFIL3 significant gene.

ATP13A3

Figure S25.  This figure depicts the distribution of mutations and mutation types across the ATP13A3 significant gene.

IPP

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

GAS2L2

Figure S27.  This figure depicts the distribution of mutations and mutation types across the GAS2L2 significant gene.

XRCC2

Figure S28.  This figure depicts the distribution of mutations and mutation types across the XRCC2 significant gene.

ZBTB33

Figure S29.  This figure depicts the distribution of mutations and mutation types across the ZBTB33 significant gene.

PTPRF

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

UBXN6

Figure S31.  This figure depicts the distribution of mutations and mutation types across the UBXN6 significant gene.

MEPCE

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

CRAT

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

COSMIC analyses

In this analysis, COSMIC is used as a filter to increase power by restricting the territory of each gene. Cosmic version: v48.

Table 4.  Get Full Table Significantly mutated genes (COSMIC territory only). To access the database please go to: COSMIC. Number of significant genes found: 10. Number of genes displayed: 10

rank gene description n cos n_cos N_cos cos_ev p q
1 TTK TTK protein kinase 9 2 8 182 24 0 0
2 KRAS v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog 66 52 66 4732 860617 0 0
3 GNAS GNAS complex locus 13 7 7 637 1285 0 0
4 TP53 tumor protein p53 59 356 55 32396 16811 0 0
5 CDKN2A cyclin-dependent kinase inhibitor 2A (melanoma, p16, inhibits CDK4) 22 332 22 30212 779 0 0
6 SMAD4 SMAD family member 4 17 159 10 14469 34 0 0
7 TNFRSF9 tumor necrosis factor receptor superfamily, member 9 7 1 4 91 4 1.6e-14 1.1e-11
8 ADAMTS18 ADAM metallopeptidase with thrombospondin type 1 motif, 18 10 8 3 728 6 4.8e-08 0.000027
9 TGFBR2 transforming growth factor, beta receptor II (70/80kDa) 5 12 2 1092 2 0.000049 0.025
10 NF2 neurofibromin 2 (merlin) 5 550 5 50050 5 0.00011 0.051

Note:

n - number of (nonsilent) mutations in this gene across the individual set.

cos = number of unique mutated sites in this gene in COSMIC

n_cos = overlap between n and cos.

N_cos = number of individuals times cos.

cos_ev = total evidence: number of reports in COSMIC for mutations seen in this gene.

p = p-value for seeing the observed amount of overlap in this gene)

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

Geneset Analyses

Table 5.  Get Full Table A Ranked List of Significantly Mutated Genesets. (Source: MSigDB GSEA Cannonical Pathway Set).Number of significant genesets found: 39. Number of genesets displayed: 10

rank geneset description genes N_genes mut_tally N n npat nsite nsil n1 n2 n3 n4 n5 n6 p_ns_s p q
1 TELPATHWAY Telomerase is a ribonucleotide protein that adds telomeric repeats to the 3' ends of chromosomes. AKT1, BCL2, EGFR, G22P1, HSPCA, IGF1R, KRAS2, MYC, POLR2A, PPP2CA, PRKCA, RB1, TEP1, TERF1, TERT, TNKS, TP53, XRCC5 15 AKT1(2), EGFR(2), IGF1R(3), POLR2A(2), PPP2CA(1), RB1(3), TEP1(10), TERF1(6), TERT(6), TNKS(3), TP53(59), XRCC5(2) 3909142 99 65 80 8 24 10 12 18 34 1 0.000023 <1.00e-15 <2.05e-13
2 RBPATHWAY The ATM protein kinase recognizes DNA damage and blocks cell cycle progression by phosphorylating chk1 and p53, which normally inhibits Rb to allow G1/S transitions. ATM, CDC2, CDC25A, CDC25B, CDC25C, CDK2, CDK4, CHEK1, MYT1, RB1, TP53, WEE1, YWHAH 12 ATM(8), CDC25A(3), CDC25C(2), CDK4(2), MYT1(10), RB1(3), TP53(59), YWHAH(1) 2418316 88 64 74 5 19 8 14 17 30 0 0.000046 <1.00e-15 <2.05e-13
3 P53PATHWAY p53 induces cell cycle arrest or apoptosis under conditions of DNA damage. APAF1, ATM, BAX, BCL2, CCND1, CCNE1, CDK2, CDK4, CDKN1A, E2F1, GADD45A, MDM2, PCNA, RB1, TIMP3, TP53 16 APAF1(3), ATM(8), CCNE1(1), CDK4(2), MDM2(2), RB1(3), TP53(59) 2504477 78 63 67 4 18 7 14 15 24 0 0.000027 <1.00e-15 <2.05e-13
4 P53HYPOXIAPATHWAY Hypoxia induces p53 accumulation and consequent apoptosis with p53-mediated cell cycle arrest, which is present under conditions of DNA damage. ABCB1, AKT1, ATM, BAX, CDKN1A, CPB2, CSNK1A1, CSNK1D, FHL2, GADD45A, HIC1, HIF1A, HSPA1A, HSPCA, IGFBP3, MAPK8, MDM2, NFKBIB, NQO1, TP53 19 ABCB1(4), AKT1(2), ATM(8), CSNK1D(1), FHL2(1), HIC1(2), HIF1A(1), MAPK8(2), MDM2(2), TP53(59) 2904975 82 64 71 5 16 6 14 19 27 0 0.000031 1.89e-15 2.30e-13
5 ARFPATHWAY Cyclin-dependent kinase inhibitor 2A is a tumor suppressor that induces G1 arrest and can activate the p53 pathway, leading to G2/M arrest. ABL1, CDKN2A, E2F1, MDM2, MYC, PIK3CA, PIK3R1, POLR1A, POLR1B, POLR1C, POLR1D, RAC1, RB1, TBX2, TP53, TWIST1 16 ABL1(7), CDKN2A(22), MDM2(2), PIK3CA(4), PIK3R1(1), POLR1A(3), POLR1B(3), RB1(3), TBX2(1), TP53(59) 2829804 105 64 85 3 19 12 15 15 44 0 4.6e-09 2.55e-15 2.30e-13
6 PLK3PATHWAY Active Plk3 phosphorylates CDC25c, blocking the G2/M transition, and phosphorylates p53 to induce apoptosis. ATM, ATR, CDC25C, CHEK1, CHEK2, CNK, TP53, YWHAH 7 ATM(8), ATR(9), CDC25C(2), TP53(59), YWHAH(1) 2182623 79 64 67 5 17 6 12 15 29 0 0.0011 2.55e-15 2.30e-13
7 SA_G1_AND_S_PHASES Cdk2, 4, and 6 bind cyclin D in G1, while cdk2/cyclin E promotes the G1/S transition. ARF1, ARF3, CCND1, CDK2, CDK4, CDKN1A, CDKN1B, CDKN2A, CFL1, E2F1, E2F2, MDM2, NXT1, PRB1, TP53 15 ARF1(1), CDK4(2), CDKN2A(22), MDM2(2), NXT1(1), TP53(59) 1183860 87 61 68 1 18 7 12 12 38 0 5.3e-09 3.22e-15 2.30e-13
8 ATMPATHWAY The tumor-suppressing protein kinase ATM responds to radiation-induced DNA damage by blocking cell-cycle progression and activating DNA repair. ABL1, ATM, BRCA1, CDKN1A, CHEK1, CHEK2, GADD45A, JUN, MAPK8, MDM2, MRE11A, NBS1, NFKB1, NFKBIA, RAD50, RAD51, RBBP8, RELA, TP53, TP73 19 ABL1(7), ATM(8), BRCA1(5), MAPK8(2), MDM2(2), MRE11A(3), NFKBIA(2), RBBP8(9), RELA(1), TP53(59) 4111596 98 69 78 2 19 9 16 15 39 0 2.3e-07 3.55e-15 2.30e-13
9 G1PATHWAY CDK4/6-cyclin D and CDK2-cyclin E phosphorylate Rb, which allows the transcription of genes needed for the G1/S cell cycle transition. ABL1, ATM, ATR, CCNA1, CCND1, CCNE1, CDC2, CDC25A, CDK2, CDK4, CDK6, CDKN1A, CDKN1B, CDKN2A, CDKN2B, DHFR, E2F1, GSK3B, HDAC1, MADH3, MADH4, RB1, SKP2, TFDP1, TGFB1, TGFB2, TGFB3, TP53 25 ABL1(7), ATM(8), ATR(9), CCNA1(3), CCNE1(1), CDC25A(3), CDK4(2), CDK6(2), CDKN2A(22), DHFR(1), GSK3B(1), RB1(3), SKP2(2), TGFB1(1), TGFB2(2), TP53(59) 4177722 126 67 103 11 21 14 20 19 52 0 0.000033 4.33e-15 2.30e-13
10 TERTPATHWAY hTERC, the RNA subunit of telomerase, and hTERT, the catalytic protein subunit, are required for telomerase activity and are overexpressed in many cancers. HDAC1, MAX, MYC, SP1, SP3, TP53, WT1, ZNF42 7 SP1(1), TP53(59) 972295 60 60 49 0 15 4 9 11 21 0 6.1e-08 4.55e-15 2.30e-13
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)
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