Prostate Adenocarcinoma: Mutation Analysis (MutSig)
Maintained by Dan DiCara (Broad Institute)
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 was used to generate the results found in this report.

Working with individual set: PRAD.

Number of patients in set: 83

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

Significantly mutated genes (q ≤ 0.1): 93

Mutations seen in COSMIC: 28

Significantly mutated genes in COSMIC territory: 7

Genes with clustered mutations (&le 3 aa apart): 23

Significantly mutated genesets: 13

Significantly mutated genesets: (excluding sig. mutated genes): 0

Results
Breakdown of Mutations by Type

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

type count
Frame_Shift_Del 150
Frame_Shift_Ins 77
In_Frame_Del 51
In_Frame_Ins 13
Missense_Mutation 3277
Nonsense_Mutation 185
Nonstop_Mutation 2
Silent 1489
Splice_Site 102
Translation_Start_Site 13
Total 5359
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 839 138713067 6e-06 6 3.9 2.1
*Np(A/C/T)->transit 898 1965699488 4.6e-07 0.46 0.29 2
*ApG->G 107 381313535 2.8e-07 0.28 0.18 2.1
transver 1443 2485726090 5.8e-07 0.58 0.37 5
indel+null 580 2485726090 2.3e-07 0.23 0.15 NaN
double_null 3 2485726090 1.2e-09 0.0012 0.00078 NaN
Total 3870 2485726090 1.6e-06 1.6 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).

Figure 1. 

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

Figure 2. 

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

Table 3.  Get Full Table A Ranked List of Significantly Mutated Genes. Number of significant genes found: 93. Number of genes displayed: 35

rank gene description N n npat nsite nsil n1 n2 n3 n4 n5 n6 p_classic p_ns_s p_ks p_cons p_joint p q
1 CCNF cyclin F 199411 3 3 1 1 0 0 0 3 0 0 0.00099 0.79 2e-07 0.029 0 <1.00e-15 <4.53e-12
2 CLSTN1 calsyntenin 1 242387 3 3 1 0 0 0 0 3 0 0 0.0022 0.6 2e-07 0.07 0 <1.00e-15 <4.53e-12
3 POM121 POM121 membrane glycoprotein (rat) 216520 3 3 1 0 0 0 0 3 0 0 0.0012 0.48 6e-07 0.35 0 <1.00e-15 <4.53e-12
4 ZNF285 148155 4 3 2 1 0 0 2 2 0 0 0.00028 0.74 1.8e-06 1.8e-06 0 <1.00e-15 <4.53e-12
5 MUC4 mucin 4, cell surface associated 272535 15 13 9 2 3 4 0 8 0 0 2.9e-13 0.13 0.00037 0.091 0.00096 1.01e-14 3.66e-11
6 C9orf150 chromosome 9 open reading frame 150 47265 3 3 1 0 0 0 0 0 3 0 4.1e-08 1 3e-06 1 3.8e-06 4.73e-12 1.43e-08
7 NKX3-1 NK3 homeobox 1 43527 5 5 5 0 0 2 0 2 1 0 2.2e-10 0.26 0.11 0.0093 0.024 1.39e-10 3.60e-07
8 FIP1L1 FIP1 like 1 (S. cerevisiae) 152119 3 3 1 0 0 0 0 0 3 0 8.3e-06 1 2e-07 1 1.2e-06 2.61e-10 5.92e-07
9 NDUFS4 NADH dehydrogenase (ubiquinone) Fe-S protein 4, 18kDa (NADH-coenzyme Q reductase) 45401 3 3 1 0 0 0 0 3 0 0 3.6e-06 0.58 6.4e-06 0.33 7e-06 6.36e-10 1.28e-06
10 AGT angiotensinogen (serpin peptidase inhibitor, clade A, member 8) 122342 3 3 1 0 0 0 0 3 0 0 0.00012 0.53 6e-07 1 1.8e-06 5.11e-09 9.27e-06
11 FRG1 FSHD region gene 1 67208 6 5 4 0 0 2 0 3 1 0 8.5e-10 0.32 0.31 1 0.5 9.59e-09 0.000016
12 TP53 tumor protein p53 105521 5 5 5 0 3 0 0 1 1 0 2.4e-07 0.33 0.074 0.0014 0.0048 2.48e-08 0.000037
13 DUSP27 dual specificity phosphatase 27 (putative) 264959 3 3 1 1 0 0 0 3 0 0 0.00078 0.82 4e-07 0.92 1.6e-06 2.68e-08 0.000037
14 ARHGAP11B Rho GTPase activating protein 11B 68637 4 4 2 0 0 0 0 1 3 0 4.2e-08 0.25 NaN NaN NaN 4.18e-08 0.000054
15 SCAI 157950 5 5 2 0 0 0 0 5 0 0 1.4e-07 0.45 0.012 0.4 0.023 6.63e-08 0.000076
16 TPTE2 transmembrane phosphoinositide 3-phosphatase and tensin homolog 2 136261 6 6 6 1 1 2 0 2 1 0 3.3e-09 0.48 0.8 0.55 1 6.74e-08 0.000076
17 SLC2A6 solute carrier family 2 (facilitated glucose transporter), member 6 97622 2 2 1 0 0 0 0 2 0 0 0.0011 0.61 0.0011 0.000023 6.4e-06 1.36e-07 0.00014
18 SPOP speckle-type POZ protein 96345 4 4 3 0 0 0 1 3 0 0 1.9e-06 0.39 0.0072 0.27 0.0091 3.27e-07 0.00033
19 ZNF492 zinc finger protein 492 123622 4 4 3 0 0 3 0 1 0 0 0.000013 0.28 0.00036 0.55 0.0016 3.83e-07 0.00037
20 GPATCH4 G patch domain containing 4 97579 2 2 1 0 0 0 0 0 2 0 0.00019 1 0.00086 0.28 0.00051 1.68e-06 0.0015
21 ZNF98 zinc finger protein 98 (F7175) 122162 4 4 4 0 0 1 0 2 1 0 1.3e-07 0.45 0.71 0.97 1 2.20e-06 0.0019
22 YBX1 Y box binding protein 1 68945 4 3 2 0 0 2 0 2 0 0 0.00021 0.32 0.014 0.00087 0.00073 2.60e-06 0.0021
23 MLL3 myeloid/lymphoid or mixed-lineage leukemia 3 1228308 8 7 7 0 0 1 0 2 4 1 1.7e-06 0.23 0.06 0.73 0.098 2.72e-06 0.0021
24 PRIM2 primase, DNA, polypeptide 2 (58kDa) 120943 4 4 2 4 0 0 0 1 3 0 4.3e-06 1 NaN NaN NaN 4.34e-06 0.0033
25 ZNF814 zinc finger protein 814 168858 4 4 2 0 0 2 0 2 0 0 0.000023 0.34 0.0026 0.99 0.013 4.61e-06 0.0033
26 FNBP4 formin binding protein 4 236598 2 2 1 0 0 0 0 0 2 0 0.0013 1 0.00035 0.95 0.00035 7.04e-06 0.0049
27 CTNNB1 catenin (cadherin-associated protein), beta 1, 88kDa 199245 3 3 3 0 0 1 0 2 0 0 0.00073 0.46 0.00068 0.24 0.00082 9.08e-06 0.0061
28 C17orf63 chromosome 17 open reading frame 63 5972 2 2 1 0 0 0 0 2 0 0 9.9e-06 0.65 NaN NaN NaN 9.89e-06 0.0064
29 SFRS11 splicing factor, arginine/serine-rich 11 124634 2 2 1 0 0 0 0 0 2 0 0.0011 1 0.00066 0.8 0.00066 0.000011 0.0069
30 ANKRD36 ankyrin repeat domain 36 204931 4 4 2 1 0 0 0 4 0 0 0.000019 0.71 0.019 0.86 0.043 0.000012 0.0074
31 ETV3 ets variant gene 3 36841 2 2 2 0 0 1 0 0 1 0 0.0003 0.65 0.0023 0.78 0.0029 0.000013 0.0075
32 NUDT11 nudix (nucleoside diphosphate linked moiety X)-type motif 11 32705 2 2 1 0 0 0 0 0 2 0 0.000045 1 0.0022 0.93 0.02 0.000014 0.0075
33 UGT2B10 UDP glucuronosyltransferase 2 family, polypeptide B10 264942 4 3 3 1 0 0 0 3 1 0 0.000069 0.73 0.0077 0.33 0.014 0.000014 0.0075
34 PRR21 58941 4 4 4 0 1 1 0 2 0 0 3e-06 0.26 0.2 0.93 0.31 0.000014 0.0075
35 LILRB3 leukocyte immunoglobulin-like receptor, subfamily B (with TM and ITIM domains), member 3 120480 4 4 2 1 0 0 3 1 0 0 5.5e-06 0.6 0.085 0.96 0.18 0.000015 0.0075

Note:

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: *Np(A/C/T)->transit .

n3 - number of nonsilent mutations of type: *ApG->G .

n4 - number of nonsilent mutations of type: transver .

n5 - number of nonsilent mutations of type: indel+null .

null - mutation category that includes nonsense, frameshift, splice-site mutations

p_classic = p-value for the observed amount of nonsilent mutations being elevated in this gene

p_ns_s = p-value for the observed nonsilent/silent ratio being elevated in this gene

p = p-value (overall)

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

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: 7. Number of genes displayed: 10

rank gene description n cos n_cos N_cos cos_ev p q
1 TP53 tumor protein p53 5 308 5 25564 1608 8e-10 3.6e-06
2 CHEK2 CHK2 checkpoint homolog (S. pombe) 2 2 2 166 2 3.3e-08 0.000075
3 CTNNB1 catenin (cadherin-associated protein), beta 1, 88kDa 3 101 3 8383 1229 3.7e-07 0.00055
4 ACSM2B acyl-CoA synthetase medium-chain family member 2B 1 1 1 83 1 0.00013 0.084
5 BRE brain and reproductive organ-expressed (TNFRSF1A modulator) 1 1 1 83 1 0.00013 0.084
6 KCNH1 potassium voltage-gated channel, subfamily H (eag-related), member 1 1 1 1 83 1 0.00013 0.084
7 PTEN phosphatase and tensin homolog (mutated in multiple advanced cancers 1) 3 728 3 60424 15 0.00013 0.084
8 CHAT choline acetyltransferase 2 2 1 166 1 0.00026 0.13
9 CYP4F2 cytochrome P450, family 4, subfamily F, polypeptide 2 1 2 1 166 2 0.00026 0.13
10 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 2 184 2 15272 355 0.00028 0.13

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)

Clustered Mutations

Table 5.  Get Full Table Genes with Clustered Mutations

num gene desc n mindist nmuts0 nmuts3 nmuts12 npairs0 npairs3 npairs12
1655 MUC4 mucin 4, cell surface associated 15 0 13 23 23 13 23 23
480 CDC27 cell division cycle 27 homolog (S. cerevisiae) 10 0 6 8 9 6 8 9
2272 SCAI 5 0 6 6 6 6 6 6
92 AGT angiotensinogen (serpin peptidase inhibitor, clade A, member 8) 3 0 3 3 3 3 3 3
144 ANKRD36 ankyrin repeat domain 36 4 0 3 3 3 3 3 3
464 CCNF cyclin F 3 0 3 3 3 3 3 3
563 CLSTN1 calsyntenin 1 3 0 3 3 3 3 3 3
624 CROCC ciliary rootlet coiled-coil, rootletin 5 0 3 3 3 3 3 3
665 CYP2D6 cytochrome P450, family 2, subfamily D, polypeptide 6 4 0 3 3 3 3 3 3
779 DUSP27 dual specificity phosphatase 27 (putative) 3 0 3 3 3 3 3 3

Note:

n - number of mutations in this gene in the individual set.

mindist - distance (in aa) between closest pair of mutations in this gene

npairs3 - how many pairs of mutations are within 3 aa of each other.

npairs12 - how many pairs of mutations are within 12 aa of each other.

Geneset Analyses

Table 6.  Get Full Table A Ranked List of Significantly Mutated Genesets. (Source: MSigDB GSEA Cannonical Pathway Set).Number of significant genesets found: 13. 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 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 CDKN1B(2), PRB1(3), TP53(5) 1062488 10 10 10 0 3 1 0 3 3 0 0.12 1.8e-07 0.00011
2 HSA00564_GLYCEROPHOSPHOLIPID_METABOLISM Genes involved in glycerophospholipid metabolism ACHE, AGPAT1, AGPAT2, AGPAT3, AGPAT4, AGPAT6, ARD1A, CDIPT, CDS1, CDS2, CHAT, CHKA, CHKB, CHPT1, CRLS1, DGKA, DGKB, DGKD, DGKE, DGKG, DGKH, DGKI, DGKQ, DGKZ, ESCO1, ESCO2, ETNK1, ETNK2, GNPAT, GPAM, GPD1, GPD1L, GPD2, LCAT, LYCAT, LYPLA1, LYPLA2, LYPLA3, MYST3, MYST4, NAT5, NAT6, PCYT1A, PCYT1B, PEMT, PHOSPHO1, PISD, PLA2G10, PLA2G12A, PLA2G12B, PLA2G1B, PLA2G2A, PLA2G2D, PLA2G2E, PLA2G2F, PLA2G3, PLA2G4A, PLA2G5, PLA2G6, PLD1, PLD2, PNPLA3, PPAP2A, PPAP2B, PPAP2C, PTDSS1, PTDSS2, SH3GLB1 64 AGPAT2(1), AGPAT3(1), CHAT(2), DGKD(1), DGKH(1), DGKI(1), DGKQ(2), ESCO1(3), GNPAT(1), MYST3(1), PEMT(1), PLA2G2A(1), PLA2G4A(1), PLA2G5(1), PLD1(1), PTDSS1(1) 8241571 20 19 20 2 2 4 1 9 4 0 0.11 2.8e-06 0.00087
3 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(5), CHEK2(2), TP53(5) 1994178 12 11 11 0 3 6 0 2 1 0 0.032 0.000016 0.0033
4 SA_REG_CASCADE_OF_CYCLIN_EXPR Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases. CCNA1, CCNA2, CCND1, CCNE1, CCNE2, CDK2, CDK4, CDKN1B, CDKN2A, E2F1, E2F2, E2F4, PRB1 13 CCNA1(1), CCNE2(1), CDKN1B(2), PRB1(3) 1130432 7 7 7 0 0 2 0 3 2 0 0.25 0.00015 0.023
5 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(2), AKT1(1), ATM(5), TP53(5) 2602579 13 12 13 0 4 6 0 2 1 0 0.015 0.0003 0.037
6 HSA00530_AMINOSUGARS_METABOLISM Genes involved in aminosugars metabolism AMDHD2, CHIA, CHIT1, CMAS, CTBS, CYB5R1, CYB5R3, GFPT1, GFPT2, GNE, GNPDA1, GNPDA2, GNPNAT1, HEXA, HEXB, HK1, HK2, HK3, LHPP, MTMR1, MTMR2, MTMR6, NAGK, NANS, NPL, PGM3, PHPT1, RENBP, UAP1 29 AMDHD2(1), CHIA(1), GFPT2(1), GNPNAT1(1), HEXB(2), PGM3(1), RENBP(1) 3576644 8 8 8 0 2 1 0 2 3 0 0.18 0.00044 0.043
7 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(1), ATM(5), TP53(5) 2266716 11 10 11 0 3 5 0 2 1 0 0.034 0.00049 0.043
8 ATRBRCAPATHWAY BRCA1 and 2 block cell cycle progression in response to DNA damage and promote double-stranded break repair; mutations induce breast cancer susceptibility. ATM, ATR, BRCA1, BRCA2, CHEK1, CHEK2, FANCA, FANCC, FANCD2, FANCE, FANCF, FANCG, HUS1, MRE11A, NBS1, RAD1, RAD17, RAD50, RAD51, RAD9A, TP53, TREX1 21 ATM(5), BRCA2(3), CHEK2(2), FANCD2(2), FANCG(1), TP53(5) 5495234 18 15 16 1 3 6 0 6 3 0 0.061 0.00073 0.052
9 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(5) 879118 6 6 6 0 3 1 0 1 1 0 0.16 0.00076 0.052
10 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(5), TP53(5) 2195302 10 9 10 1 3 4 0 2 1 0 0.19 0.0013 0.074

Table 7.  Get Full Table A Ranked List of Significantly Mutated Genesets (Excluding Significantly Mutated Genes). Number of significant genesets found: 0. 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 HSA00530_AMINOSUGARS_METABOLISM Genes involved in aminosugars metabolism AMDHD2, CHIA, CHIT1, CMAS, CTBS, CYB5R1, CYB5R3, GFPT1, GFPT2, GNE, GNPDA1, GNPDA2, GNPNAT1, HEXA, HEXB, HK1, HK2, HK3, LHPP, MTMR1, MTMR2, MTMR6, NAGK, NANS, NPL, PGM3, PHPT1, RENBP, UAP1 29 AMDHD2(1), CHIA(1), GFPT2(1), GNPNAT1(1), HEXB(2), PGM3(1), RENBP(1) 3576644 8 8 8 0 2 1 0 2 3 0 0.18 0.00044 0.27
2 AMINOSUGARS_METABOLISM CMAS, CYB5R3, GCK, GFPT1, GNE, GNPDA1, GNPDA2, HEXA, HEXB, HK1, HK2, HK3, PGM3, RENBP, UAP1 15 GCK(1), HEXB(2), PGM3(1), RENBP(1) 2107943 5 5 5 0 1 0 0 1 3 0 0.32 0.0026 0.73
3 SMALL_LIGAND_GPCRS C9orf47, CNR1, CNR2, DNMT1, EDG1, EDG2, EDG5, EDG6, MTNR1A, MTNR1B, PTAFR, PTGDR, PTGER1, PTGER2, PTGER4, PTGFR, PTGIR, TBXA2R 13 DNMT1(3), MTNR1A(1), PTGER2(1), TBXA2R(2) 1410721 7 7 7 1 3 2 0 1 1 0 0.19 0.0044 0.73
4 HSA03060_PROTEIN_EXPORT Genes involved in protein export OXA1L, SEC61A2, SRP19, SRP54, SRP68, SRP72, SRP9, SRPR 8 SEC61A2(1), SRP68(1), SRPR(1) 933462 3 3 3 0 0 0 0 1 2 0 0.51 0.0069 0.73
5 HSA00670_ONE_CARBON_POOL_BY_FOLATE Genes involved in one carbon pool by folate ALDH1L1, AMT, ATIC, DHFR, FTCD, GART, MTFMT, MTHFD1, MTHFD1L, MTHFD2, MTHFR, MTHFS, MTR, SHMT1, SHMT2, TYMS 16 DHFR(1), FTCD(2), GART(1), MTHFD1(1), MTHFD1L(1), MTHFR(1) 2365631 7 7 7 0 0 2 0 2 3 0 0.21 0.007 0.73
6 TRKAPATHWAY Nerve growth factor (NGF) promotes neuronal survival and proliferation by binding its receptor TrkA, which activates PI3K/AKT, Ras, and the MAP kinase pathway. AKT1, DPM2, GRB2, HRAS, KLK2, NGFB, NTRK1, PIK3CA, PIK3R1, PLCG1, PRKCA, PRKCB1, SHC1, SOS1 12 AKT1(1), KLK2(1), NTRK1(2), PIK3CA(2) 1940556 6 6 6 0 0 4 1 0 1 0 0.13 0.0093 0.73
7 ETCPATHWAY Energy is extracted from carbohydrates via oxidation and transferred to the mitochondrial electron transport chain, which couples ATP synthesis to the reduction of oxygen to water. ATP5A1, CYCS, GPD2, MTCO1, NDUFA1, SDHA, SDHB, SDHC, SDHD, UQCRC1 9 ATP5A1(1), SDHD(1), UQCRC1(1) 823298 3 3 3 0 0 2 0 0 1 0 0.46 0.01 0.73
8 HSA00564_GLYCEROPHOSPHOLIPID_METABOLISM Genes involved in glycerophospholipid metabolism ACHE, AGPAT1, AGPAT2, AGPAT3, AGPAT4, AGPAT6, ARD1A, CDIPT, CDS1, CDS2, CHAT, CHKA, CHKB, CHPT1, CRLS1, DGKA, DGKB, DGKD, DGKE, DGKG, DGKH, DGKI, DGKQ, DGKZ, ESCO1, ESCO2, ETNK1, ETNK2, GNPAT, GPAM, GPD1, GPD1L, GPD2, LCAT, LYCAT, LYPLA1, LYPLA2, LYPLA3, MYST3, MYST4, NAT5, NAT6, PCYT1A, PCYT1B, PEMT, PHOSPHO1, PISD, PLA2G10, PLA2G12A, PLA2G12B, PLA2G1B, PLA2G2A, PLA2G2D, PLA2G2E, PLA2G2F, PLA2G3, PLA2G4A, PLA2G5, PLA2G6, PLD1, PLD2, PNPLA3, PPAP2A, PPAP2B, PPAP2C, PTDSS1, PTDSS2, SH3GLB1 63 AGPAT2(1), AGPAT3(1), CHAT(2), DGKD(1), DGKH(1), DGKI(1), DGKQ(2), GNPAT(1), MYST3(1), PEMT(1), PLA2G2A(1), PLA2G4A(1), PLA2G5(1), PLD1(1), PTDSS1(1) 8029753 17 16 17 2 2 4 1 8 2 0 0.14 0.011 0.73
9 HSA00830_RETINOL_METABOLISM Genes involved in retinol metabolism ALDH1A1, ALDH1A2, BCMO1, RDH5 4 ALDH1A2(1), BCMO1(2) 483292 3 3 2 0 0 2 0 1 0 0 0.37 0.011 0.73
10 SIG_IL4RECEPTOR_IN_B_LYPHOCYTES Genes related to IL4 rceptor signaling in B lymphocytes AKT1, AKT2, AKT3, BAD, BCL2, GRB2, GSK3A, GSK3B, IL4R, IRS1, IRS2, JAK1, JAK3, MAP4K1, MAPK1, MAPK3, PDK1, PIK3CA, PIK3CD, PIK3R1, PPP1R13B, RAF1, SHC1, SOCS1, SOS1, SOS2, STAT6 27 AKT1(1), GSK3A(1), IL4R(1), IRS1(1), IRS2(2), JAK1(3), MAP4K1(1), PDK1(1), PIK3CA(2), PPP1R13B(1) 4578581 14 12 14 2 1 3 1 6 3 0 0.33 0.016 1
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.

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