Copy number analysis (GISTIC2)
Kidney Renal Papillary Cell Carcinoma (Primary solid tumor)
22 February 2013  |  analyses__2013_02_22
Maintainer Information
Citation Information
Maintained by Dan DiCara (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Copy number analysis (GISTIC2). Broad Institute of MIT and Harvard. doi:10.7908/C1C24TN4
Overview
Introduction

GISTIC identifies genomic regions that are significantly gained or lost across a set of tumors. The pipeline first filters out normal samples from the segmented copy-number data by inspecting the TCGA barcodes and then executes GISTIC version 2.0.17a (Firehose task version: 0.0.8).

Summary

There were 117 tumor samples used in this analysis: 15 significant arm-level results, 8 significant focal amplifications, and 14 significant focal deletions were found.

Results
Focal results

Figure 1.  Genomic positions of amplified regions: the X-axis represents the normalized amplification signals (top) and significance by Q value (bottom). The green line represents the significance cutoff at Q value=0.25.

Table 1.  Get Full Table Amplifications Table - 8 significant amplifications found. Click the link in the last column to view a comprehensive list of candidate genes. If no genes were identified within the peak, the nearest gene appears in brackets.

Cytoband Q value Residual Q value Wide Peak Boundaries # Genes in Wide Peak
19p13.2 5.063e-10 5.063e-10 chr19:7296453-7397014 0 [INSR]
2q32.1 0.22935 0.22935 chr2:186297358-186918006 1
3p14.1 0.22935 0.22935 chr3:68089010-68094828 1
6p12.3 0.22935 0.22935 chr6:49565389-49615406 1
7q22.1 0.22935 0.22935 chr7:101454617-103862258 33
17q25.2 0.22935 0.22935 chr17:48641966-81195210 430
19q13.11 0.22935 0.22935 chr19:33878199-36222036 52
5q35.2 0.24183 0.24183 chr5:150936362-180915260 236
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 2q32.1.

Table S1.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
FSIP2
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 3p14.1.

Table S2.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
FAM19A1
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 6p12.3.

Table S3.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
RHAG
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 7q22.1.

Table S4.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
hsa-mir-548o
hsa-mir-4285
CUX1
ORC5
POLR2J
RELN
PSMC2
PMPCB
RASA4
LRRC17
SH2B2
DNAJC2
ALKBH4
PRKRIP1
ORAI2
ARMC10
LRWD1
FAM185A
FBXL13
NAPEPLD
POLR2J2
DPY19L2P2
SLC26A5
SPDYE2
POLR2J3
SPDYE6
RPL19P12
UPK3BL
LOC100289561
SPDYE2L
MIR4285
MIR4467
LOC100630923
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 17q25.2.

Table S5.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
CD79B
CLTC
DDX5
HLF
PRKAR1A
ASPSCR1
BRIP1
MSI2
CANT1
hsa-mir-3186
hsa-mir-1250
hsa-mir-4316
hsa-mir-636
hsa-mir-635
hsa-mir-548d-2
hsa-mir-634
hsa-mir-4315-2
hsa-mir-633
hsa-mir-21
hsa-mir-301a
hsa-mir-142
AANAT
ACOX1
ACTG1
BIRC5
APOH
ARHGDIA
CA4
CACNG1
CD7
CDK3
COX11
CSH1
CSH2
CSHL1
CSNK1D
SLC25A10
CYB561
ACE
ERN1
EVPL
BPTF
FASN
FDXR
FOXJ1
GAA
GALK1
GCGR
GH1
GH2
UTS2R
GPS1
GRB2
GRIN2C
H3F3B
ICAM2
ICT1
FOXK2
ITGB4
KCNJ2
KCNJ16
KPNA2
LGALS3BP
LLGL2
LPO
MAFG
MAP3K3
MPO
TRIM37
NME1
NME2
NPTX1
P4HB
PDE6G
PECAM1
SEPT4
PRKCA
MAP2K6
PRPSAP1
PSMC5
PSMD12
PYCR1
PCYT2
RAC3
RAD51C
RFNG
RPL38
MRPL12
RPS6KB1
SCN4A
SEC14L1
SECTM1
SRSF1
SRSF2
SGSH
SMARCD2
SUMO2
SOX9
SRP68
SSTR2
SUPT4H1
TBCD
TBX2
TIMP2
TK1
TRIM25
VEZF1
COIL
AKAP1
EPX
AXIN2
PPM1D
DGKE
CBX4
DNAH17
ABCC3
RGS9
GALR2
SPHK1
CACNA1G
SOCS3
SPAG9
MTMR4
SLC16A6
SLC16A5
SLC16A3
SYNGR2
HGS
NOG
BZRAP1
CYTH1
SLC9A3R1
COG1
RECQL5
PGS1
TBX4
AATK
KIAA0195
EIF4A3
MRC2
HELZ
MED13
TOM1L1
TOB1
ALYREF
DCAF7
ABCA10
ABCA9
ABCA8
BAIAP2
ATP5H
APPBP2
ST6GALNAC2
GNA13
SEPT9
CD300C
RAB40B
TLK2
POLG2
CD300A
TMC6
DDX42
PPM1E
ARSG
AZI1
GGA3
JMJD6
EXOC7
ABCA6
ABCA5
KCTD2
MMD
WBP2
CDC42EP4
FSCN2
NOL11
TANC2
NAT9
PITPNC1
NARF
OR4D1
CACNG5
CACNG4
SAP30BP
NT5C
CDR2L
MRPS7
UTP18
RNFT1
HN1
TUBD1
DCXR
TACO1
AMZ2
ANAPC11
SIRT7
MRPS23
PTRH2
LUC7L3
SDK2
FAM20A
MBTD1
BCAS3
TMEM104
RNF43
MKS1
LINC00483
C17orf80
CCDC40
WIPI1
SMG8
TMEM100
MSX2P1
NPLOC4
PRR11
ST6GALNAC1
TEX2
GPRC5C
TEX14
WDR45L
CA10
CCDC47
CBX8
MIF4GD
INTS2
CASKIN2
RPTOR
BAHCC1
USP36
RNF213
TNRC6C
PCTP
SCPEP1
SLC25A19
UBE2O
HEATR6
DUS1L
FN3K
DNAI2
SMURF2
ENGASE
MRPL38
CARD14
MFSD11
C17orf62
ARMC7
CHMP6
RHBDF2
DHX40
FN3KRP
C17orf101
ZNF750
NUP85
MYO15B
C17orf70
LIMD2
KCNH6
VMP1
TSPAN10
QRICH2
KIF2B
USP32
CBX2
FAM104A
MGC16275
FBF1
UNK
CEP95
TRIM47
ANKRD40
STRADA
C17orf72
MAFG-AS1
OTOP2
TTYH2
CYGB
RNF157
C1QTNF1
PPP1R27
FTSJ3
METTL23
HSF5
OR4D2
SLC38A10
USH1G
CD300LB
KIF19
C17orf64
WFIKKN2
TBC1D16
AFMID
DYNLL2
MGAT5B
C17orf56
B3GNTL1
RBFOX3
CD300LF
C17orf77
TCAM1P
EFCAB3
LOC146880
NOTUM
TMC8
ANKFN1
MARCH10
CEP112
STRA13
LRRC45
SLC39A11
AMZ2P1
TRIM65
UNC13D
MTVR2
STXBP4
MYADML2
NPB
LINC00469
FADS6
C17orf28
TSEN54
FAM100B
TMEM235
CCDC57
HEXDC
C17orf58
MILR1
C17orf47
SLC26A11
ENDOV
GDPD1
C17orf89
LINC00482
TMEM105
METRNL
RAB37
METTL2A
C17orf67
ENPP7
C17orf90
CCDC137
ARL16
CD300E
NACA2
OTOP3
SKA2
FAM195B
GPR142
ZACN
LRRC37A3
RNF126P1
YPEL2
C17orf82
BTBD17
AATK-AS1
FLJ43681
LOC400604
KCNJ2-AS1
LINC00511
LOC400620
FLJ45079
TEX19
CUEDC1
MIR142
MIR21
MIR301A
MXRA7
TBC1D3P2
PLEKHM1P
LOC440461
FLJ90757
MIR338
CPSF4L
C17orf109
LOC645638
TBC1D3P1-DHX40P1
LOC653653
NME1-NME2
LINC00338
SCARNA20
SCARNA16
SNORA76
SNORD1A
SNORD1B
SNORD1C
SNORD104
MIR634
MIR635
MIR636
MIR657
LOC729683
PRCD
MIR454
SNORA38B
C17orf110
LOC100131096
CD300LD
TEN1
C17orf99
LOC100287042
LOC100294362
MIR1250
MIR4316
MIR3065
MIR548W
MIR3186
MIR4315-2
MIR4315-1
LOC100499466
LOC100499467
MIR3614
MIR3678
MIR3615
LOC100506650
LOC100506779
LOC100507218
LOC100507246
LOC100507351
LOC100507410
TEN1-CDK3
MIR4739
MIR4729
MIR4737
MIR4736
MIR4738
MIR4740
MIR4524A
MIR4730
MIR3064
MIR5047
LOC100653515
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 19q13.11.

Table S6.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
ATP4A
CD22
COX6B1
ETV2
GPI
FFAR1
FFAR3
FFAR2
HPN
MAG
PEPD
FXYD1
FXYD3
SCN1B
USF2
KIAA0355
MLL4
UBA2
TMEM147
UPK1A
HAUS5
LSM14A
GAPDHS
ZBTB32
LSR
FXYD7
FXYD5
ZNF302
GRAMD1A
HAMP
CHST8
KCTD15
RBM42
PDCD2L
ZNF30
DMKN
WTIP
ZNF792
ZNF599
FAM187B
LGI4
SCGB2B2
ZNF181
SBSN
KRTDAP
LOC400685
SCGB1B2P
LOC100128675
LOC100128682
SCGB2B3P
LOC100506469
LOC100652909
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 5q35.2.

Table S7.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
EBF1
ITK
NPM1
TLX3
NSD1
RANBP17
hsa-mir-340
hsa-mir-1229
hsa-mir-4281
hsa-mir-1271
hsa-mir-585
hsa-mir-218-2
hsa-mir-103-1-as
hsa-mir-146a
hsa-mir-3142
hsa-mir-1303
hsa-mir-3141
hsa-mir-1294
ADRA1B
ATOX1
BNIP1
CANX
CCNG1
CLTB
NKX2-5
DBN1
DOCK2
DRD1
DUSP1
F12
FABP6
FAT2
FGFR4
FOXI1
FLT4
GABRA1
GABRA6
GABRB2
GABRG2
GABRP
GLRA1
GRK6
GRIA1
GRM6
HK3
HMMR
HNRNPAB
HNRNPH1
HRH2
IL12B
KCNMB1
LCP2
LTC4S
MFAP3
MGAT1
MSX2
MAPK9
PROP1
RARS
SGCD
SLC34A1
SLIT3
SNCB
SPARC
STK10
ZNF354A
TTC1
STC2
ADAM19
FGF18
SQSTM1
ATP6V0E1
PTTG1
PDLIM7
CNOT8
HAND1
MED7
ADAMTS2
CLINT1
MAML1
GFPT2
G3BP1
GNB2L1
SLU7
RGS14
CPLX2
C5orf4
FAM114A2
BTNL3
LMAN2
SOX30
MGAT4B
B4GALT7
RNF44
TBC1D9B
ATP10B
N4BP3
FAF2
WWC1
FBXW11
LARP1
ZNF346
GEMIN5
TSPAN17
OR4F3
HAVCR1
CYFIP2
PRELID1
MAT2B
MRPL22
KCNIP1
ZNF354C
RPL26L1
C5orf45
DDX41
NOP16
HMP19
UIMC1
RAB24
NEURL1B
FAM193B
TMED9
CDHR2
CCDC99
THG1L
GALNT10
NHP2
RNF130
NMUR2
KIAA1191
ERGIC1
CLK4
ODZ2
CNOT6
C5orf54
GMCL1P1
RMND5B
CCNJL
PANK3
SAP30L
BTNL8
DOK3
ZFP2
RUFY1
CPEB4
PRR7
OR4F16
TRIM7
MXD3
THOC3
TRIM52
HAVCR2
AGXT2L2
UNC5A
TRIM41
BOD1
COL23A1
TIMD4
UBTD2
SCGB3A1
SFXN1
GPRIN1
PWWP2A
C1QTNF2
ZNF354B
C5orf47
C5orf58
OR2Y1
LSM11
NUDCD2
UBLCP1
C5orf41
BTNL9
PPP1R2P3
FAM71B
RNF145
HIGD2A
FAM153B
LOC202181
EIF4E1B
RASGEF1C
LOC257358
EFCAB9
SH3PXD2B
LOC285593
FAM153A
ARL10
LOC285626
LOC285627
LOC285629
KIF4B
OR2V2
ZNF454
C5orf60
LOC340037
PFN3
ZNF879
FBLL1
NIPAL4
C5orf25
FLJ38109
MIR103A1
MIR146A
MIR218-2
FNDC9
FLJ16171
MIR340
SNORD95
SNORD96A
LOC643201
ZFP62
CBY3
FAM153C
SNORA74B
MIR585
LOC728554
AACSP1
LOC729678
OR4F29
FAM196B
LOC100132062
LOC100132287
LOC100133331
C5orf52
LOC100268168
MIR1229
MIR103B1
MIR3142
MIR3141
MIR4281
MIR3912
LOC100507387
MIR4634
MIR4638
MIR378E
LOC100859930

Figure 2.  Genomic positions of deleted regions: the X-axis represents the normalized deletion signals (top) and significance by Q value (bottom). The green line represents the significance cutoff at Q value=0.25.

Table 2.  Get Full Table Deletions Table - 14 significant deletions found. Click the link in the last column to view a comprehensive list of candidate genes. If no genes were identified within the peak, the nearest gene appears in brackets.

Cytoband Q value Residual Q value Wide Peak Boundaries # Genes in Wide Peak
9p21.3 1.7695e-12 1.7695e-12 chr9:21865498-22448737 4
1p36.31 0.00053959 0.00053959 chr1:1-9894852 161
3p22.1 0.0046983 0.0046983 chr3:41280645-42218893 1
2q37.3 0.01306 0.012974 chr2:217722405-243199373 264
6q22.31 0.024897 0.024897 chr6:123955968-125232805 1
Xq28 0.028413 0.0287 chrX:151843350-152761709 21
4q28.2 0.038897 0.039068 chr4:14992411-191154276 754
19q13.42 0.049694 0.051669 chr19:36699035-59128983 864
14q11.2 0.018474 0.069195 chr14:1-35185588 189
5q35.2 0.076392 0.076264 chr5:174422375-177410415 51
14q23.3 0.039151 0.14559 chr14:58869576-81577655 189
Xq21.31 0.20164 0.184 chrX:91074436-92938656 2
14q32.2 0.033866 0.22185 chr14:94398372-104184010 190
2p11.2 0.24499 0.24499 chr2:1-243199373 1516
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 9p21.3.

Table S8.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
CDKN2A
CDKN2B
C9orf53
CDKN2B-AS1
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 1p36.31.

Table S9.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
RPL22
TNFRSF14
PRDM16
hsa-mir-34a
hsa-mir-4252
hsa-mir-551a
hsa-mir-4251
hsa-mir-429
hsa-mir-1302-2
RERE
CA6
CDK11B
DFFB
DVL1
MEGF6
ENO1
GABRD
GNB1
ZBTB48
TNFRSF9
PEX10
PIK3CD
PRKCZ
SCNN1D
SKI
SLC2A5
TP73
TNFRSF4
MMP23B
MMP23A
KCNAB2
TNFRSF25
TNFRSF18
PER3
VAMP3
H6PD
ISG15
PLCH2
CEP104
KLHL21
SLC35E2
UTS2
RER1
PARK7
ACOT7
CLSTN1
CAMTA1
ICMT
CHD5
NOC2L
OR4F3
ARHGEF16
SSU72
WRAP73
SLC45A1
SDF4
ERRFI1
MXRA8
HES2
CPSF3L
C1orf159
AURKAIP1
MRPL20
ATAD3A
PANK4
DNAJC11
AJAP1
TP73-AS1
PLEKHG5
LRRC47
HES4
VWA1
NADK
MMEL1
OR4F5
NOL9
LINC00115
MORN1
GPR157
SPSB1
GLTPD1
TAS1R1
OR4F16
CCNL2
ESPN
TAS1R3
ATAD3B
PLEKHN1
SLC25A33
C1orf170
KIAA1751
THAP3
LOC115110
ACAP3
UBE2J2
PUSL1
B3GALT6
TPRG1L
FAM213B
ACTRT2
MIB2
SAMD11
LOC148413
PHF13
CCDC27
SLC2A7
CALML6
TMEM201
C1orf86
ATAD3C
LOC254099
TTLL10
NPHP4
FAM41C
LOC284661
C1orf174
KLHL17
TMEM240
TMEM52
AGRN
GPR153
FAM132A
HES5
LOC388588
RNF207
HES3
RNF223
MIR200A
MIR200B
MIR34A
FLJ42875
ANKRD65
MIR429
FAM138F
LOC643837
TMEM88B
C1orf233
C1orf200
FAM138A
WASH7P
MIR551A
CDK11A
SLC35E2B
LOC728716
LOC729737
OR4F29
LOC100129534
LOC100130417
LOC100132062
LOC100132287
LOC100133331
LOC100133445
LOC100133612
DDX11L1
TTC34
LOC100288069
MIR4251
MIR4252
ENO1-AS1
MIR4689
MIR4417
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 3p22.1.

Table S10.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
ULK4
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 2q37.3.

Table S11.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
ACSL3
PAX3
FEV
hsa-mir-3133
hsa-mir-149
hsa-mir-4269
hsa-mir-562
hsa-mir-1471
hsa-mir-1244-1
hsa-mir-4268
hsa-mir-3132
hsa-mir-153-1
hsa-mir-3131
hsa-mir-26b
AAMP
AGXT
ALPI
ALPP
ALPPL2
KIF1A
BCS1L
BOK
CHRND
CHRNG
COL4A3
COL4A4
COL6A3
CRYBA2
CYP27A1
DES
DTYMK
EPHA4
GBX2
GPC1
GPR35
HDLBP
AGFG1
DNAJB2
HTR2B
SP110
IHH
CXCR1
CXCR2
CXCR2P1
INHA
INPP5D
IRS1
KCNJ13
NCL
NDUFA10
SEPT2
NEU2
NPPC
PDCD1
PDE6D
SERPINE2
PPP1R7
PSMD1
PTMA
PTPRN
SNORD20
SAG
CCL20
SLC4A3
SLC11A1
SP100
SPP2
TNP1
TNS1
TUBA4A
VIL1
WNT6
ZNF142
SCG2
CUL3
DGKD
STK16
PER2
CDK5R2
RQCD1
LRRFIP1
GPR55
TRIP12
ECEL1
EIF4E2
TTLL4
HDAC4
FARP2
FARSB
ABCB6
ARPC2
ARL4C
RAMP1
SPEG
NMUR1
STK25
COPS8
CAPN10
SP140
PASK
ATG4B
OBSL1
DNPEP
SH3BP4
KCNE4
NGEF
SNORD82
PNKD
SNED1
GIGYF2
TRAF3IP1
CNPPD1
STK36
GMPPA
ANO7
PRLH
THAP4
ANKMY1
SCLY
ASB1
CAB39
PRKAG3
UGT1A10
UGT1A8
UGT1A7
UGT1A6
UGT1A5
UGT1A9
UGT1A4
UGT1A1
UGT1A3
PID1
ATG16L1
ANKZF1
USP40
HJURP
HES6
ACCN4
DOCK10
C2orf83
MFF
CXCR7
RNPEPL1
WDFY1
NYAP2
USP37
CTDSP1
GAL3ST2
TMBIM1
RAB17
RNF25
COPS7B
MRPL44
TRPM8
ATG9A
MLPH
FAM134A
GLB1L
CHPF
IQCA1
NHEJ1
FAM124B
TM4SF20
C2orf54
TUBA4B
ARMC9
EFHD1
SPHKAP
WNT10A
SLC19A3
ILKAP
ITM2C
RHBDD1
ING5
PLCD4
MGC16025
DNER
B3GNT7
SP140L
STK11IP
MOGAT1
AGAP1
TWIST2
DIS3L2
NEU4
AP1S3
SGPP2
SPATA3
TMEM198
ZFAND2B
FBXO36
MTERFD2
UBE2F
OTOS
MYEOV2
OR6B3
LOC150935
LOC151171
LOC151174
CCDC140
SLC23A3
LOC151300
GPBAR1
SLC16A14
LOC151475
LINC00471
LOC151484
MSL3P1
WDR69
C2orf57
TIGD1
LOC200772
CCDC108
C2orf72
CXXC11
RUFY4
DUSP28
ESPNL
ECEL1P2
LOC348761
C2orf62
RBM44
AQP12A
KLHL30
RESP18
C2orf82
OR6B2
ASB18
FLJ43879
MIR149
MIR153-1
MIR26B
DNAJB3
MIR375
LOC643387
PRR21
LOC646736
PRSS56
AQP12B
SNORA75
SCARNA6
SCARNA5
D2HGDH
LOC728323
DIRC3
LOC100129175
PP14571
LOC100286922
MIR1471
MIR1244-1
BOK-AS1
MIR1244-3
MIR1244-2
MIR3131
MIR4268
MIR3132
MIR4269
UBE2F-SCLY
MIR4439
MIR4777
MIR2467
MIR4440
MIR4786
MIR4441
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 6q22.31.

Table S12.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
NKAIN2
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for Xq28.

Table S13.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
CETN2
MAGEA1
MAGEA2
MAGEA3
MAGEA6
MAGEA12
ZNF185
ZNF275
TREX2
PNMA3
NSDHL
HAUS7
PNMA6A
PNMA5
ZFP92
CSAG1
MAGEA2B
CSAG3
CSAG2
PNMA6C
PNMA6D
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 4q28.2.

Table S14.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
IL2
KDR
KIT
PDGFRA
RAP1GDS1
PHOX2B
DUX4
CHIC2
TET2
FBXW7
FIP1L1
hsa-mir-1305
hsa-mir-4276
hsa-mir-548t
hsa-mir-1979
hsa-mir-3140
hsa-mir-548g
hsa-mir-3139
hsa-mir-2054
hsa-mir-1973
hsa-mir-577
hsa-mir-1243
hsa-mir-302b
hsa-mir-297
hsa-mir-576
hsa-mir-1255a
hsa-mir-575
hsa-mir-1269
hsa-mir-574
hsa-mir-1255b-1
hsa-mir-4275
hsa-mir-573
hsa-mir-218-1
ADH1A
ADH1B
ADH1C
ADH4
ADH5
ADH6
ADH7
AFM
AFP
AGA
ALB
AMBN
ANK2
SLC25A4
ANXA2P1
ANXA3
ANXA5
APBB2
AREG
RHOH
ART3
ATOH1
BMP3
BMPR1B
BST1
BTC
CAMK2D
CASP3
CASP6
CCKAR
CCNA2
CCNG2
SCARB2
CD38
LRBA
CDS1
CLGN
CENPC1
CENPE
CLCN3
CNGA1
CPE
CSN1S1
CSN2
CSN3
CTSO
DCK
DCTD
DHX15
DMP1
DSPP
EDNRA
EGF
EIF4E
ELF2
ENPEP
EPHA5
EREG
ETFDH
F11
FABP2
ACSL1
FAT1
FGA
FGB
FGF2
FGF5
FGG
FRG1
GAB1
GABRA2
GABRA4
GABRB1
GABRG1
GC
GK2
GK3P
GLRB
GNRHR
GPM6A
GRIA2
GRID2
CXCL1
CXCL2
CXCL3
GRSF1
GUCY1A3
GUCY1B3
GYPA
GYPB
GYPE
H2AFZ
HADH
UBE2K
HMGB2
HNRNPD
HPGD
HSP90AA4P
HSP90AB3P
HTN1
HTN3
IBSP
CFI
IGFBP7
IGJ
RBPJ
IL8
IL15
ING2
CXCL10
IRF2
KLKB1
MAD2L1
SMAD1
MANBA
MGST2
CXCL9
AFF1
NR3C2
MTNR1A
MTTP
MUC7
NDUFC1
NEK1
NFKB1
NKX6-1
NPY1R
NPY2R
NPY5R
PCDH7
PDHA2
PET112
PF4
PF4V1
PITX2
PKD2
PLRG1
EXOSC9
POLR2B
POU4F2
PPEF2
PPAT
PPBP
PPID
PPP3CA
PRKG2
MAPK10
PTPN13
QDPR
REST
RFC1
ABCE1
RPL9
RPL34
RPS3A
MSMO1
CXCL6
CXCL11
CXCL5
SFRP2
SGCB
SNCA
SOD3
SPINK2
SPP1
SRP72
STATH
SULT1E1
TACR3
TDO2
TEC
TLL1
TLR1
TLR2
TLR3
TRPC3
TXK
UBE2D3
UCHL1
UCP1
UGDH
UGT2B4
UGT2B7
UGT2B10
UGT2B15
UGT2B17
UGT8
VEGFC
GLRA3
SPARCL1
SMARCA5
SORBS2
PRSS12
USO1
UNC5C
LAMTOR3
PDE5A
SLC4A4
SAP30
INPP4B
PROM1
HERC3
SNORD73A
STBD1
CDKL2
PAPSS1
LDB2
LRAT
AIMP1
NDST3
SLIT2
TMPRSS11D
ABCG2
HAND2
ADAMTS3
CLOCK
CEP135
RAPGEF2
MFAP3L
SEC24D
G3BP2
FGFBP1
HNRPDL
TSPAN5
ENAM
FAM13A
SPRY1
TLR6
ANAPC10
ATP8A1
PGRMC2
SEC24B
SLC30A9
CXCL13
SLC34A2
MAB21L2
PAICS
PDLIM5
RRH
CORIN
UGT2B11
PLK4
PTTG2
HPSE
NMU
SMR3B
NPFFR2
PPARGC1A
PPBPL2
UGT2A1
CCNI
LIAS
ADAM29
PRDM5
LSM6
NUDT6
ANXA10
KLHL2
SCRG1
HSPA4L
SEC31A
RUFY3
MMRN1
LIMCH1
WDFY3
PALLD
DCUN1D4
TBC1D9
METAP1
TBC1D1
SEL1L3
KIAA0922
PDS5A
LPHN3
TRIM2
ANP32C
SLC7A11
CCRN4L
PARM1
FAM149A
RCHY1
ANKRD17
STAP1
FBXL5
FBXO8
DUX2
SMR3A
PPA2
DAPP1
DKK2
FAM184B
INTU
NAAA
COQ2
ARFIP1
SULT1B1
PDLIM3
HPGDS
ZNF330
TMPRSS11E
ZCCHC4
ANAPC4
SPOCK3
MRPS18C
LAP3
KLHL5
SEPSECS
COPS4
AADAT
HSD17B11
LEF1
HERC5
KLF3
FAM198B
PLAC8
LARP7
EMCN
MYOZ2
ACCN5
GALNT7
NUDT9
NUP54
CLDN22
GAR1
UGT2B28
RBM47
PCDH18
USP53
DKFZP434I0714
OTUD4
DCHS2
ARHGEF38
DCAF16
OCIAD1
COMMD8
ODAM
C4orf27
HERC6
CCDC109B
MARCH1
BANK1
LARP1B
SDAD1
TMEM33
LGI2
BBS7
UBA6
NEIL3
PGM2
C4orf19
TBC1D19
PI4K2B
TMEM144
C4orf43
UFSP2
C4orf21
AP1AR
MAML3
CHRNA9
BMP2K
DDX60
CDKN2AIP
ODZ3
N4BP2
TMEM184C
SEPT11
EXOC1
LRP2BP
TMEM165
PDGFC
FSTL5
BDH2
SMARCAD1
MEPE
STOX2
PRDM8
UTP3
INTS12
ANKRD50
ATP10D
DANCR
KIAA1211
RNF150
KIAA1239
CC2D2A
KLHL8
PCDH10
KIAA1430
FNIP2
SLAIN2
SHROOM3
STIM2
SH3RF1
METTL14
WDR19
GBA3
ENOPH1
PROL1
OSTC
IL21
RXFP1
GUF1
SPCS3
SCOC
TRAPPC11
NEUROG2
SLC39A8
NCAPG
HHIP
NDST4
AGXT2L1
USP46
MRPL1
RASL11B
ELOVL6
NDNF
FAT4
ARSJ
SRD5A3
ARHGAP10
FLJ13197
MLF1IP
THAP9
NSUN7
UGT2A3
NBLA00301
GSTCD
MAP9
TNIP3
PHF17
SCD5
DNAJB14
TMEM156
WWC2
FRAS1
NAA15
CWH43
C4orf29
ALPK1
MED28
CXXC4
KCNIP4
CEP44
SETD7
PLA2G12A
TLR10
SLC25A31
RAB33B
ARHGAP24
FGFBP2
SNX25
TTC29
MND1
SLC10A7
TKTL2
C4orf17
QRFPR
FAM175A
KIAA1109
NOA1
HOPX
COL25A1
USP38
LNX1
C4orf49
NAA11
AGPAT9
CBR4
PIGY
CABS1
FHDC1
FLJ20021
MGC45800
PRMT10
CCDC149
DDX60L
YTHDC1
NAF1
MOB1B
TIFA
FAM114A1
RG9MTD2
TBCK
HELQ
CYP2U1
C1QTNF7
DDIT4L
WDR17
ARAP2
GDEP
ANTXR2
OCIAD2
SCLT1
C4orf33
TMEM155
PABPC4L
ADAD1
ZFP42
LIN54
SPATA18
C4orf32
TMPRSS11B
GNPDA2
SPATA4
CPEB2
ARL9
AASDH
PDCL2
C4orf36
PACRGL
TRAM1L1
ENPP6
SLC9B2
ASB5
SLC9B1
ZNF827
SH3D19
NFXL1
NIPAL1
PAQR3
SHISA3
LOC152578
SCFD2
C4orf38
C4orf39
THAP6
C4orf26
KLB
PPM1K
C4orf45
RASGEF1B
SPATA5
BBS12
DCLK2
GPR125
TRIM60
FREM3
MMAA
TIGD2
RASSF6
RBM46
SGMS2
COX7B2
GSX2
SYNPO2
C4orf46
SLC10A4
TIGD4
TMEM154
C4orf34
TMEM192
RWDD4
CCDC111
TAPT1
FLJ39653
TRIML2
CNOT6L
TECRL
LCORL
C4orf22
LOC255130
EPGN
ELMOD2
NPNT
CCDC110
MFSD8
LOC256880
FDCSP
NAP1L5
LOC285419
DCAF4L1
CYP4V2
LOC285441
LOC285456
LOC285501
FAM13A-AS1
GPRIN3
COX18
YIPF7
FRYL
RNF175
LOC285540
FAM200B
C4orf37
CSN1S2AP
ZAR1
CCDC158
TMPRSS11A
LOC339975
TRIML1
LRRC66
LOC340017
LOC344967
PRSS48
SOWAHB
LRIT3
SLC10A6
HSD17B13
ANKRD37
PCNAP1
KCNIP4-IT1
KCTD8
C4orf52
BEND4
GRXCR1
TMPRSS11F
LOC389247
TRIM61
HELT
DTHD1
LOC401127
LOC401134
SYT14L
TMPRSS11BNL
C4orf40
AMTN
FAM190A
FLJ14186
C4orf3
LOC401164
RPL21P44
FAM92A3
WDFY3-AS2
MIR218-1
MIR302A
C4orf11
MTHFD2L
LOC441025
TMEM150C
GUSBP5
HSP90AA6P
C4orf47
DUX4L4
GALNTL6
MIR302B
MIR302C
MIR302D
MIR367
FRG2
CISD2
LOC550112
LOC550113
UGT2A2
LOC641364
LOC641365
LOC641518
SLED1
LOC644145
LOC644248
TMPRSS11GP
CLRN2
CEP170P1
LOC645513
LOC646576
C4orf51
FLJ38576
DUX4L6
DUX4L5
DUX4L3
SNORA24
SNORA26
MIR573
MIR574
MIR575
MIR577
MIR578
LINC00290
LOC728175
DUX4L2
CETN4P
FAM160A1
LOC731424
RELL1
SNHG8
FAM47E
LOC100129858
FTLP10
CLDN24
LOC100144602
PP12613
LOC100288255
ERVMER34-1
MIR1243
MIR2054
MIR1305
MIR1973
CSN1S2BP
MIR3140
MIR4275
MIR4276
LOC100499177
MIR3945
MIR3684
MIR3688-1
LOC100505545
LOC100505702
LOC100505875
SLIT2-IT1
LOC100505912
LOC100505989
LOC100506013
LOC100506035
LOC100506085
LOC100506122
LOC100506229
LOC100506462
LOC100506564
LOC100506746
LOC100507053
LOC100507096
1/2-SBSRNA4
MIR4453
MIR4799
MIR548AJ2
MIR4802
MIR4450
MIR3688-2
MIR4451
MIR4801
MIR4449
FAM47E-STBD1
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 19q13.42.

Table S15.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
AKT2
BCL3
CD79A
ERCC2
KLK2
PPP2R1A
CIC
CBLC
TFPT
ZNF331
hsa-mir-1274b
hsa-mir-935
hsa-mir-373
hsa-mir-1283-2
hsa-mir-643
hsa-mir-125a
hsa-mir-150
hsa-mir-4324
hsa-mir-220c
hsa-mir-3191
hsa-mir-320e
hsa-mir-769
hsa-mir-642
hsa-mir-4323
hsa-mir-641
A1BG
ACTN4
AP2A1
APOC1
APOC1P1
APOC2
APOC4
APOE
KLK3
ATP1A3
AXL
BAX
BCAT2
BCKDHA
CEACAM1
BLVRB
C5AR1
CA11
CALM3
CD33
SIGLEC6
CD37
CEACAM5
CGB
CEACAM3
CEACAM7
CEACAM8
CEACAM4
CKM
AP2S1
CLC
CLPTM1
CRX
CYP2A6
CYP2A7
CYP2A13
CYP2B6
CYP2B7P1
CYP2F1
DBP
DMPK
DMWD
ECH1
MEGF8
EMP3
ERCC1
ERF
FBL
ETFB
FCAR
FCGRT
FKBP1AP1
FLT3LG
FOSB
FPR1
FPR2
FPR3
FTL
FUT1
FUT2
GIPR
GPR4
GPR32
GRIK5
GRIN2D
ARHGAP35
GSK3A
GYS1
HAS1
FOXA3
HNRNPL
HRC
PRMT1
IL11
IRF3
KCNA7
KCNC3
KCNJ14
KCNN4
KIR2DL1
KIR2DL3
KIR2DL4
KIR2DS4
KIR3DL1
KIR3DL2
KLK1
LAIR1
LAIR2
LGALS4
LGALS7
LHB
LIG1
LIM2
LIPE
BCAM
MAP3K10
MYBPC2
CEACAM6
NDUFA3
NFKBIB
NKG7
CNOT3
NOVA2
NPAS1
NTF4
NUCB1
PAFAH1B3
PEG3
PLAUR
POLD1
POU2F2
PPP5C
PRKCG
PRRG2
KLK7
KLK6
KLK10
PSG1
PSG2
PSG3
PSG4
PSG5
PSG6
PSG7
PSG9
PSG11
PSMC4
PSMD8
PTGIR
PTPRH
PVR
PVRL2
RELB
RPL18
RPL28
MRPS12
RPS5
RPS9
RPS11
RPS16
RPS19
RRAS
RTN2
RYR1
CLEC11A
SEPW1
SLC1A5
SLC8A2
SNRNP70
SNRPA
SNRPD2
SPIB
AURKC
SULT2B1
SULT2A1
SUPT5H
SYT5
TGFB1
TNNI3
TNNT1
TULP2
NR1H2
VASP
XRCC1
ZFP36
ZNF8
ZNF17
ZNF28
MZF1
ZNF45
ZNF221
ZNF222
ZNF132
ZNF134
ZNF135
ZNF137P
ZNF146
ZNF154
ZNF155
ZNF175
ZNF180
ZNF223
ZNF224
ZNF225
ZNF226
ZNF227
ZFP112
ZNF229
ZNF230
SYMPK
MIA
DPF1
LTBP4
TEAD2
PPFIA3
PLA2G4C
NAPA
SIGLEC5
FCGBP
PGLYRP1
UBE2M
ARHGEF1
DYRK1B
NUMBL
CYTH2
ZNF235
ZNF264
KCNK6
NCR1
NAPSA
GMFG
KLK4
ZNF432
DHX34
SAE1
TRIM28
ZNF256
LILRB2
PAK4
TOMM40
ZNF211
RABAC1
TRAPPC2P1
SPINT2
DLL3
ZNF234
ZNF274
ZNF460
PPP1R13L
CD3EAP
RUVBL2
LILRB1
KDELR1
LILRB5
SLC27A5
LILRB4
KLK11
LILRA1
LILRB3
LILRA3
LILRA2
HNRNPUL1
CLASRP
KPTN
MAP4K1
KLK8
PNKP
U2AF2
ATF5
ZFP30
PPP6R1
CARD8
SIRT2
CYP2G1P
SIPA1L3
ZC3H4
FBXO46
ETHE1
RPL13A
SYNGR4
LILRA4
PRG1
ZIM2
NUP62
HSPBP1
PPP1R15A
PLD3
EML2
ZNF324
KLK5
ZNF345
PRKD2
ZNF473
KLK13
CCDC9
PRPF31
IRF2BP1
FGF21
SNORD35A
SNORD34
SNORD33
SNORD32A
ZNF285
SIGLEC7
LYPD3
BBC3
DKKL1
SIGLEC9
SIGLEC8
GPR77
CHMP2A
DHDH
ZNF544
EIF3K
UBE2S
SLC6A16
LGALS13
CYP2S1
STRN4
CCDC106
EPN1
SERTAD3
SERTAD1
GLTSCR2
GLTSCR1
EHD2
KLK14
KLK12
SHANK1
NOSIP
ZNF580
HSD17B14
GP6
VRK3
ZNF571
ZNF581
PTOV1
RAB4B
PAF1
PPP1R12C
TRPM4
ZNF586
QPCTL
FAM83E
EPS8L1
RASIP1
SARS2
TMEM160
PIH1D1
SAMD4B
ATP5SL
C19orf73
PNMAL1
TMEM143
ZNF444
KLK15
MED29
NLRP2
ZNF416
ZNF446
ZNF701
ZNF83
ZNF415
SMG9
IRGC
CABP5
SPHK2
LGALS14
EXOSC5
MEIS3
CEACAM19
SLC17A7
NAT14
CD177
VN1R1
RCN3
ZNF304
TTYH1
PNMAL2
PRR12
ZNF471
LRFN1
USP29
PLEKHA4
ZFP14
ZNF529
PRX
SPTBN4
MARK4
CATSPERG
ZNF71
SCAF1
CACNG8
CACNG7
CACNG6
ZNF350
TSKS
ZNF667
DMRTC2
C19orf33
ELSPBP1
LIN7B
HIF3A
ZNF574
PLEKHG2
ZNF649
ZSCAN18
MGC2752
TSEN34
TRAPPC6A
MBOAT7
FKRP
ZSCAN5A
LENG1
LILRP2
LILRA6
ZNF576
ZNF329
TBC1D17
ZNF419
GEMIN7
ISOC2
MYH14
ZNF665
ZNF552
ZNF671
ZNF613
ADCK4
CNTD2
ZNF702P
ZNF606
ZNF614
FUZ
OPA3
ITPKC
B9D2
RSPH6A
ZNF611
MED25
BCL2L12
TEX101
GRWD1
WDR87
CCDC8
ZNF541
SYT3
AKT1S1
ZNF528
BRSK1
ZNF527
CNFN
SNORD35B
ZNF347
ZNF577
ZNF607
SUV420H2
C19orf48
ZBTB45
ZNF382
ZNF587
FIZ1
ZNF566
GALP
SIGLEC10
SIGLEC12
ZNF628
KIR3DX1
ZNF551
CEACAM21
ZNF616
ZNF766
CCDC97
EXOC3L2
ZNF468
ZNF160
CTU1
ZNF835
YIF1B
ZNF765
NLRP12
MYADM
ZNF845
ZNF461
ZNF585B
TIMM50
SHKBP1
CCDC114
DKFZp434J0226
ACPT
CGB5
CGB7
LRRC4B
LENG9
CGB8
GNG8
PPP1R14A
EGLN2
BIRC8
FAM71E1
RDH13
PTH2
ZIM3
SIGLEC11
CGB1
CGB2
LMTK3
LENG8
FBXO17
KIR3DL3
RASGRP4
ZNF526
ZNF837
CLDND2
ZNF816
ZNF543
CEACAM20
COX6B2
OSCAR
ZNF813
JOSD2
IZUMO2
CPT1C
ALDH16A1
NTN5
NLRP13
NLRP8
NLRP5
ZNF787
ZNF573
EID2B
IRGQ
ZNF428
RINL
FBXO27
C19orf47
ZFP28
VSIG10L
LOC147646
LINC00085
ZNF480
ZNF534
ZNF578
ERVV-1
LOC147670
C19orf18
ZNF418
ZNF417
ZNF548
PPM1N
KLC3
IGSF23
LYPD4
TMEM190
HIPK4
TMC4
LOC147804
ZNF524
ZNF784
CCDC155
DACT3
SIX5
IGFL2
ZNF420
NLRP4
ZNF542
ZNF582
ZNF583
FAM98C
CAPN12
LGALS16
TTC9B
CDC42EP5
ZNF569
ZNF570
ZNF836
ZNF610
ZNF600
ZNF320
ZNF497
ZNF550
ZNF296
DEDD2
ZNF579
ZNF114
ZNF567
ZNF383
ZNF781
EID2
ZNF780B
ZNF540
ZNF525
SPACA4
ZNF585A
NLRP7
GGN
CADM4
C19orf76
ZNF584
ZSCAN4
NLRP11
TMEM86B
PRR24
ZNF549
NAPSB
IL4I1
IL28A
IL28B
IL29
SSC5D
ZNF547
ZIK1
ZNF776
ZSCAN1
ZNF780A
C19orf54
PRR19
TMEM145
CXCL17
LOC284344
ZNF575
LYPD5
ZNF283
PPP1R37
NKPD1
TPRX1
MAMSTR
IZUMO1
C19orf63
MGC45922
KLK9
SIGLECP3
C19orf75
ZNF615
ZNF841
LOC284379
ZFP82
LOC284408
LOC284412
VSTM1
TMEM150B
FAM71E2
HKR1
VN1R2
VN1R4
NLRP9
ZNF260
ZNF546
MYPOP
NANOS2
ZNF850
NCCRP1
SYCN
LEUTX
ZNF404
ZNF284
C19orf81
ZNF677
RFPL4A
ZSCAN5B
ZSCAN22
SELV
ZNF530
C19orf51
ZNF233
LILRA5
ZNF829
ZNF568
B3GNT8
IGFL1
ZNF773
LOC386758
ZNF790
CEACAM22P
CEACAM16
BLOC1S3
LOC388553
IGFL3
ZNF808
ZNF761
TMEM238
ZNF470
ZNF749
ZNF324B
ZNF793
PAPL
LOC390940
ZNF805
SPRED3
ZNF321P
LGALS17A
SIGLEC16
FLJ26850
ZNF880
ZNF772
IGLON5
MIRLET7E
MIR125A
MIR150
MIR99B
PSG8
TARM1
MIR330
MIR371A
MIR372
MIR373
IGFL4
A1BG-AS1
DPRX
DUXA
ASPDH
MIR512-1
MIR512-2
MIR498
MIR520E
MIR515-1
MIR519E
MIR520F
MIR515-2
MIR519C
MIR520A
MIR526B
MIR519B
MIR525
MIR523
MIR518F
MIR520B
MIR518B
MIR526A1
MIR520C
MIR518C
MIR524
MIR517A
MIR519D
MIR521-2
MIR520D
MIR517B
MIR520G
MIR516B2
MIR526A2
MIR518E
MIR518A1
MIR518D
MIR516B1
MIR518A2
MIR517C
MIR520H
MIR521-1
MIR522
MIR519A1
MIR527
MIR516A1
MIR516A2
MIR519A2
KLKP1
TMEM91
LOC643669
LOC644189
LOC644554
LOC646508
SBK2
LOC646862
PSG10P
LGALS7B
PHLDB3
SEC1
SNORD23
SNORD88A
SNORD88B
SNORD88C
MIR641
MIR642A
MIR643
RPL13AP5
LOC728752
CCDC61
CEACAM18
SHISA7
FLJ30403
ZNF814
MIR769
SIGLEC14
MIMT1
MIR935
SNAR-G1
SNAR-F
SNAR-A1
SNAR-A2
SNAR-A12
LOC100128252
LOC100128398
LOC100129083
LOC100129935
SGK110
BSPH1
LOC100131691
LOC100134317
PEG3-AS1
SNAR-A3
SNAR-A5
SNAR-A7
SNAR-A11
SNAR-A9
SNAR-A4
SNAR-A6
SNAR-A8
SNAR-A13
SNAR-A10
SNAR-B2
SNAR-C2
SNAR-C4
SNAR-E
SNAR-C5
SNAR-B1
SNAR-C1
SNAR-C3
SNAR-D
SNAR-G2
SRRM5
C19orf69
SNAR-A14
ERVV-2
LOC100287177
LOC100289650
ZNF587B
MIR1283-2
MIR1323
MIR1283-1
LOC100379224
MIR3191
MIR3190
MIR320E
MIR4324
MIR4323
MIR642B
LOC100505495
LOC100505622
LOC100505681
LOC100505715
LOC100505812
LOC100506012
LOC100506033
LOC100506068
LOC100506930
LOC100507003
ZNF865
LOC100507433
ZNF816-ZNF321P
MIA-RAB4B
RAB4B-EGLN2
APOC4-APOC2
MIR4530
MIR4754
MIR4752
MIR371B
MIR4749
MIR4750
MIR4531
MIR4751
LOC100631378
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 14q11.2.

Table S16.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
CCNB1IP1
hsa-mir-3172
hsa-mir-624
hsa-mir-3171
hsa-mir-4307
hsa-mir-208b
hsa-mir-1201
ANG
APEX1
ARHGAP5
BCL2L2
CEBPE
CFL2
CMA1
LTB4R
CTSG
DAD1
COCH
FOXG1
GPR33
GZMH
GZMB
HNRNPC
MMP14
MYH6
MYH7
NEDD8
NFATC4
NOVA1
PNP
NRL
OXA1L
PCK2
PRKD1
PSMB5
PSME1
PSME2
RABGGTA
RNASE1
RNASE2
RNASE3
RNASE4
RNASE6
SALL2
TEP1
TGM1
PABPN1
AP1G2
SLC7A7
CPNE6
AKAP6
TOX4
REC8
PARP2
DHRS2
EFS
IRF9
PRMT5
TM9SF1
EDDM3A
DHRS4
RIPK3
AP4S1
SUPT16H
ACIN1
SCFD1
KHNYN
SLC7A8
HECTD1
HEATR5A
NGDN
LRP10
TINF2
OR10G3
OR10G2
OR4E2
CIDEB
CHMP4A
STXBP6
STRN3
SLC39A2
FAM158A
ZNF219
GMPR2
SLC22A17
HAUS4
C14orf119
RNF31
RBM23
C14orf167
G2E3
OSGEP
ARHGEF40
EAPP
METTL3
LTB4R2
SDR39U1
RPGRIP1
NDRG2
NYNRIN
HOMEZ
CHD8
SNX6
C14orf93
ABHD4
NPAS3
EDDM3B
CDH24
METTL17
IL25
THTPA
OR4K5
OR11H2
OR4K1
IPO4
NUBPL
DCAF11
OR4K15
JPH4
RNASE7
ARHGAP5-AS1
RAB2B
AJUBA
ZFHX2
RPPH1
LRRC16B
PPP1R3E
TMEM55B
TTC5
EGLN3
C14orf126
DHRS1
CMTM5
RNASE11
TPPP2
RNASE8
MRPL52
PSMB11
OR4K14
OR4L1
OR11H6
KLHL33
MDP1
FITM1
REM2
C14orf21
SPTSSA
ADCY4
LOC283624
TSSK4
DHRS4L2
SNORD8
RNASE10
OR6S1
C14orf23
OR4N2
OR4K2
OR4K13
OR4K17
OR4N5
OR11G2
OR11H4
RNASE9
OR5AU1
POTEG
MIR208A
C14orf165
OR11H12
RNASE13
OR4Q3
OR4M1
RNASE12
POTEM
LOC642426
ECRP
C14orf176
CBLN3
SNORD9
MIR624
DHRS4L1
SNORD126
MIR208B
MIR4307
LOC100505967
LOC100506071
NEDD8-MDP1
BCL2L2-PABPN1
MIR548AI
MIR4707
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 5q35.2.

Table S17.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
NSD1
hsa-mir-4281
hsa-mir-1271
CLTB
DBN1
DRD1
F12
FGFR4
GRK6
HK3
HRH2
SLC34A1
SNCB
PDLIM7
RGS14
CPLX2
LMAN2
B4GALT7
RNF44
FAF2
ZNF346
TSPAN17
PRELID1
DDX41
NOP16
UIMC1
RAB24
FAM193B
TMED9
CDHR2
KIAA1191
DOK3
PRR7
MXD3
THOC3
UNC5A
SFXN1
GPRIN1
HIGD2A
FAM153B
LOC202181
EIF4E1B
FAM153A
ARL10
LOC340037
PFN3
C5orf25
LOC643201
LOC728554
MIR4281
LOC100507387
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 14q23.3.

Table S18.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
TSHR
GPHN
hsa-mir-1260
hsa-mir-625
hsa-mir-548h-1
ACTN1
ACYP1
ARG2
ZFP36L1
ENTPD5
DIO2
DLST
EIF2S1
ERH
ESR2
ESRRB
FNTB
FOS
FUT8
GPX2
GSTZ1
HIF1A
HSPA2
LTBP2
MAX
MAP3K9
ALDH6A1
MNAT1
MTHFD1
SIX6
PGF
PIGH
PPM1A
PPP2R5E
PRKCH
PSEN1
ABCD4
RAD51B
RTN1
SRSF5
SIX1
SLC8A3
SLC10A1
SNAPC1
SPTB
TGFB3
ZBTB25
DPF3
NUMB
ADAM21
ADAM20
DCAF5
ALKBH1
EIF2B2
PNMA1
NRXN3
AKAP5
SPTLC2
RGS6
KIAA0247
KIAA0586
KIAA0317
MED6
VTI1B
BATF
NPC2
AHSA1
ACOT2
TMED10
C14orf1
VASH1
ZBTB1
SNW1
PCNX
DAAM1
TTLL5
SYNE2
ANGEL1
ZFYVE26
TTC9
PLEKHG3
SIPA1L1
DCAF4
PLEK2
TIMM9
MLH3
KCNH5
POMT2
COQ6
FCF1
RDH11
COX16
DACT1
ATP6V1D
JKAMP
DHRS7
SIX4
ZFYVE1
EXD2
VRTN
SYNJ2BP
SLC39A9
FLVCR2
C14orf118
YLPM1
C14orf162
ADCK1
TMEM63C
RHOJ
GALNTL1
PLEKHH1
TRMT5
ZNF410
NGB
RBM25
C14orf133
SMOC1
IRF2BPL
MPP5
C14orf135
GPR135
ZC2HC1C
C14orf169
C14orf45
SGPP1
SLIRP
DNAL1
RPS6KL1
SYT16
KIAA1737
PAPLN
CHURC1
C14orf43
LIN52
NEK9
IFT43
WDR89
C14orf149
GPHB5
NOXRED1
JDP2
ISCA2
ACOT4
RDH12
ADAM21P1
PPP1R36
SLC38A6
LOC145474
PTGR2
FAM161B
C14orf166B
ISM2
CEP128
FAM71D
TMEM229B
TMEM30B
SAMD15
PROX2
ZDHHC22
TMED8
C14orf178
C14orf55
C14orf39
SNORD56B
VSX2
RAB15
HEATR4
FLJ22447
PLEKHD1
LINC00238
TEX21P
ACOT1
ACOT6
LOC645431
FLJ43390
SYNDIG1L
C14orf38
LOC731223
LOC100289511
MIR1260A
LOC100506321
SYNJ2BP-COX16
CHURC1-FNTB
MIR4505
MIR4708
MIR4709
MIR4706
LOC100628307
HIF1A-AS2
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for Xq21.31.

Table S19.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
NAP1L3
PCDH11X
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 14q32.2.

Table S20.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
TCL1A
DICER1
TCL6
BCL11B
hsa-mir-4309
hsa-mir-1247
hsa-mir-656
hsa-mir-370
hsa-mir-345
hsa-mir-342
hsa-mir-3173
SERPINA3
BDKRB1
BDKRB2
SERPINA6
CKB
DIO3
DYNC1H1
EIF5
EML1
HSP90AA1
IFI27
KLC1
MARK3
SERPINA5
SERPINA1
SERPINA4
PPP2R5C
MOK
TNFAIP2
TRAF3
VRK1
WARS
XRCC3
YY1
DLK1
CCNK
BAG5
CDC42BPB
TCL1B
TECPR2
CYP46A1
PAPOLA
RCOR1
SERPINA10
GLRX5
EVL
C14orf129
CINP
ASB2
ATG2B
MEG3
ZNF839
C14orf132
DDX24
BEGAIN
PPP4R4
DIO3OS
OTUB2
MEG8
WDR25
LINC00341
CLMN
AMN
IFI27L2
SETD3
APOPT1
HHIPL1
EXOC3L4
WDR20
TRMT61A
ANKRD9
AK7
IFI27L1
SLC25A29
DEGS2
LINC00239
GSC
SERPINA12
C14orf49
LINC00521
SERPINA11
SNHG10
C14orf177
SLC25A47
LINC00523
CCDC85C
SERPINA9
SERPINA13
C14orf64
RTL1
DICER1-AS1
MIR127
MIR134
MIR136
MIR154
MIR299
MIR323A
MIR337
MIR345
MIR376C
MIR369
MIR376A1
MIR377
MIR379
MIR380
MIR381
MIR382
MIR433
MIR431
MIR329-1
MIR329-2
MIR323B
MIR409
MIR412
MIR410
MIR376B
MIR485
MIR493
MIR432
MIR494
MIR495
MIR496
MIR487A
MIR539
MIR376A2
MIR487B
SCARNA13
SNORA28
MIR411
MIR654
MIR655
MIR656
SNORD113-1
SNORD113-2
SNORD113-4
SNORD113-5
SNORD113-6
SNORD113-7
SNORD113-9
SNORD114-1
SNORD114-2
SNORD114-3
SNORD114-4
SNORD114-5
SNORD114-6
SNORD114-7
SNORD114-8
SNORD114-9
SNORD114-10
SNORD114-11
SNORD114-12
SNORD114-13
SNORD114-14
SNORD114-15
SNORD114-16
SNORD114-17
SNORD114-18
SNORD114-19
SNORD114-20
SNORD114-21
SNORD114-22
SNORD114-23
SNORD114-24
SNORD114-25
SNORD114-26
SNORD114-27
SNORD114-28
SNORD114-29
SNORD114-30
SNORD114-31
MIR758
MIR668
MIR770
MIR300
MIR541
MIR665
MIR543
MIR889
LOC100129345
LOC100131366
MIR1247
MIR1185-1
MIR1185-2
MIR1197
MIR1193
MIR4309
MIR3173
LOC100507043
MIR2392
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 2p11.2.

Table S21.  Genes in bold are cancer genes as defined by The Sanger Institute's Cancer Gene Census [7].

Genes
ALK
ATIC
CHN1
CREB1
DNMT3A
ERCC3
ACSL3
MSH6
HOXD11
HOXD13
IDH1
MSH2
MYCN
NFE2L2
PAX3
PMS1
REL
PAX8
NCOA1
EML4
BCL11A
FEV
TTL
hsa-mir-3133
hsa-mir-149
hsa-mir-4269
hsa-mir-562
hsa-mir-1471
hsa-mir-1244-1
hsa-mir-4268
hsa-mir-3132
hsa-mir-153-1
hsa-mir-3131
hsa-mir-26b
hsa-mir-548f-2
hsa-mir-1302-4
hsa-mir-2355
hsa-mir-3130-4
hsa-mir-3129
hsa-mir-1245
hsa-mir-561
hsa-mir-1258
hsa-mir-3128
hsa-mir-1246
hsa-mir-10b
hsa-mir-933
hsa-mir-128-1
hsa-mir-663b
hsa-mir-1302-3
hsa-mir-4267
hsa-mir-4266
hsa-mir-4265
hsa-mir-3127
hsa-mir-4264
hsa-mir-1285-2
hsa-mir-3126
hsa-mir-216b
hsa-mir-559
hsa-mir-558
hsa-mir-4263
hsa-mir-1301
hsa-mir-3125
hsa-mir-4262
hsa-mir-548s
hsa-mir-4261
AAMP
ACADL
ACP1
ACTG2
ACVR1
ACVR2A
ACYP2
ADCY3
ADD2
ADRA2B
AGXT
ALPI
ALPP
ALPPL2
BIN1
ANXA4
AOX1
APOB
RHOB
RND3
ATP5G3
ATP6V1B1
KIF1A
AUP1
BARD1
BCS1L
BMPR2
BOK
ZFP36L2
BUB1
CACNB4
CAD
CALM2
CAPG
CASP8
CASP10
CCNT2
CD8A
CD8B
CD28
CENPA
CHRNA1
CHRND
CHRNG
CLK1
CNGA3
COL3A1
COL4A3
COL4A4
COL5A2
COL6A3
COX5B
CPS1
ATF2
CRYBA2
CRYGA
CRYGB
CRYGC
CRYGD
CTLA4
CTNNA2
CYP1B1
CYP27A1
DARS
DBI
DCTN1
DDX1
DES
DGUOK
LOC1720
DLX1
DLX2
DNAH6
DYNC1I2
DOK1
DPP4
DTNB
DTYMK
DUSP2
E2F6
EEF1B2
EGR4
EMX1
EN1
EPAS1
EPHA4
ERBB4
FABP1
FAP
EFEMP1
FHL2
FKBP1B
FN1
FOSL2
FRZB
FSHR
FTH1P3
GAD1
GALNT3
GBX2
GCG
GCKR
MSTN
GFPT1
GGCX
GLI2
GLS
GPC1
GPD2
GPR1
GPR17
GPR35
GPR39
GRB14
GTF3C2
GYPC
HADHA
HADHB
HDLBP
HK2
HNMT
TLX2
HOXD1
HOXD3
HOXD4
HOXD8
HOXD9
HOXD10
HOXD12
HPCAL1
AGFG1
DNAJB2
HSPD1
HSPE1
FOXN2
HTR2B
ID2
SP110
IGFBP2
IGFBP5
IHH
IL1A
IL1B
IL1R1
IL1RN
CXCR1
CXCR2
CXCR2P1
INHA
INHBB
INPP1
INPP4A
INPP5D
ITGA6
IRS1
ITGA4
ITGAV
ITGB6
KCNF1
KCNJ3
KCNJ13
KCNK3
KCNS3
KHK
KIF3C
KIF5C
AFF3
LCT
LHCGR
LIMS1
LRP2
LTBP1
LY75
EPCAM
MXD1
MAL
MAP2
MAT2A
MATN3
MCM6
MDH1
MEIS1
MGAT5
MPV17
MYO1B
MTIF2
MYL1
MYO7B
NAB1
NCL
NEB
NDUFA10
NDUFB3
NDUFS1
SEPT2
NEU2
NEUROD1
NPAS2
NPHP1
NPPC
NR4A2
ODC1
ORC2
ORC4
OTX1
REG3A
PCBP1
PDCD1
PDE1A
PDE6D
PDK1
PEX13
VIT
SERPINE2
PIGF
PLCL1
PLEK
PLGLB2
PLGLB1
POLR2D
POMC
POU3F3
PPM1B
PPM1G
PPP1CB
PPP1R7
PPP3R1
PRKCE
EIF2AK2
PROC
PSMD1
PTH2R
PTMA
PTPN4
PTPRN
RAB1A
RALB
RANBP2
RBMS1
REG1A
REG1B
REG1P
SNORD20
RPE
RPL31
RPL37A
RPS7
RPS27A
RRM2
RTKN
SAG
SCN1A
SCN2A
SCN3A
SCN7A
SCN9A
SCTR
CCL20
SDC1
SRSF7
SFTPB
SIX3
SLC4A3
SLC1A4
SLC3A1
SLC8A1
SLC9A2
SLC11A1
SLC20A1
SNRPG
SOS1
SOX11
SP3
SP100
SPAST
SPP2
SPR
SPTBN1
SRD5A2
SSB
SSFA2
STAT1
STAT4
STRN
SULT1C2
ADAM17
TACR1
GCFC2
TFPI
TGFA
TIA1
TNFAIP6
TNP1
TNS1
TPO
TSN
TSSC1
TTN
TUBA4A
SUMO1
UCN
UGP2
VIL1
VRK2
VSNL1
WIPF1
WNT6
XDH
XPO1
XRCC5
ZAP70
ZNF2
ZNF142
SLC30A3
PXDN
ALMS1
MOGS
RNF103
IL1R2
MALL
CXCR4
FZD5
SCG2
DYSF
FZD7
SDPR
NCK2
DUSP11
CUL3
KLF11
MAP4K3
PKP4
HAT1
DGKD
AGPS
PRKRA
STK16
SLC25A12
KLF7
ABCB11
VAMP8
MARCO
B3GALT1
ADAM23
SUCLG1
IL18RAP
IL1RL2
IL18R1
NRP2
CFLAR
ASAP2
PER2
ST3GAL5
SLC5A6
DDX18
EIF2B4
CDK5R2
KYNU
TAF1B
NAT8
NMI
RQCD1
COX7A2L
TMSB10
IL1RL1
LRRFIP1
STK17B
ITGB1BP1
GPR55
TRIP12
GTF3C3
PPIG
NRXN1
OTOF
CIAO1
TGFBRAP1
HS6ST1
CRIPT
ECEL1
MAP4K4
EIF2AK3
EIF4E2
ROCK2
CHST10
TP53I3
CIR1
MRPL33
BRE
PREPL
CYTIP
FEZ2
GCC2
TTLL4
SOCS5
EIF5B
GREB1
BZW1
USP34
LAPTM4A
HDAC4
RNF144A
SNX17
SERTAD2
MRPL19
ZEB2
FARP2
TLK1
SUPT7L
CD302
ARHGAP25
TANK
BCL2L11
FARSB
ABCB6
ACTR3
ACTR2
ARPC2
PREB
ACTR1B
ARL4C
LRPPRC
PDIA6
ABI2
CEBPZ
DHRS9
TXNDC9
MPHOSPH10
CALCRL
PSMD14
STAM2
RAMP1
SPEG
LANCL1
NMUR1
SMYD5
KBTBD10
MYCNOS
C1D
MERTK
UBE2E3
STK25
SEMA4F
CCT7
CCT4
GNLY
CDC42EP3
STAMBP
TGOLN2
MTX2
CGREF1
B3GNT2
USP39
TBR1
SIX2
MAP3K2
NCKAP1
VAMP5
MTHFD2
ARID5A
PROKR1
RAB10
EDAR
COPS8
GPR75
YWHAQ
IMMT
SNRNP27
GTF2A1L
STON1
RAPGEF4
EMILIN1
CAPN10
TBC1D8
RABL2A
GALNT5
NXPH2
GPR45
SP140
MGAT4A
GPN1
IKZF2
COBLL1
AAK1
FASTKD2
MAPRE3
PLA2R1
RAB3GAP1
RPIA
SLC4A1AP
EFR3B
SNRNP200
MYT1L
WDR43
LPIN1
CEP68
PASK
UBXN4
ATG4B
PSME4
EXOC6B
EHBP1
SATB2
CLASP1
OBSL1
PUM2
NCAPH
RHOQ
SF3B1
HAAO
TMEM131
R3HDM1
DNPEP
PSD4
WBP1
NTSR2
TMEFF2
SH3BP4
PRKD3
KCNE4
RASGRP3
NGEF
QPCT
GCA
VAX2
SNORD82
MOB4
POLR1A
CNRIP1
FAM98A
PNKD
UNC50
SNED1
GORASP2
SPATS2L
RAB11FIP5
GIGYF2
EPC2
TRAF3IP1
ABCA12
IFT172
ARL5A
HIBCH
PTPN18
CNNM4
CNNM3
IL36RN
SH3YL1
SNORD53
SNORD51
CNPPD1
STK36
IL36B
IL37
IL36A
SULT1C4
NFU1
ERLEC1
MMADHC
BMP10
ZNF638
STK39
HTRA2
TRIB2
CPS1-IT1
METTL5
LGALSL
OLA1
C2orf27A
GRHL1
TFCP2L1
ICOS
GMPPA
NRBP1
BAZ2B
SLC40A1
KCNIP3
EHD3
SMARCAL1
CD207
ITSN2
ANO7
ARHGEF4
PDE11A
TPRKB
FAHD2A
PRLH
WDPCP
MEMO1
THAP4
TRAPPC12
ASB3
INSIG2
CRIM1
ANKRD39
FAM178B
RNF181
MRPL30
DNAJC27
ANKMY1
KRCC1
MRPL35
C2orf28
PCYOX1
GULP1
REV1
NAT8B
SCLY
VPS54
NBAS
LIPT1
NOP58
DYNC2LI1
SF3B14
YPEL5
CHMP3
FKBP7
ASB1
CPSF3
CAB39
ZAK
LRP1B
PRKAG3
PPIL3
SNTG2
DNAJC10
ATAD2B
ETAA1
HEATR5B
CCDC93
ASNSD1
UGT1A10
UGT1A8
UGT1A7
UGT1A6
UGT1A5
UGT1A9
UGT1A4
UGT1A1
UGT1A3
AFTPH
MFSD6
TMEM214
RETSAT
INO80D
SEMA4C
C2orf18
C2orf42
TRMT61B
PID1
PTCD3
PLEKHB2
ATG16L1
FANCL
SRBD1
FIGN
ANKZF1
RIF1
USP40
MOB1A
STEAP3
ASXL2
ADI1
THNSL2
ACOXL
WDR33
HJURP
STRADB
C2orf56
HES6
ACCN4
C2orf29
NAGK
DOCK10
TTC27
SMPD4
TMEM127
PRPF40A
SLC30A6
IWS1
LIMS2
KANSL3
MREG
CCDC88A
WDR12
MBD5
KDM3A
ALLC
PECR
ARHGAP15
ZC3H15
CFC1
DNAH7
GKN1
IL36G
RPRM
CYP26B1
POLE4
KCNK12
UGGT1
KCMF1
DPYSL5
PNO1
STARD7
C2orf83
MFF
RPL23AP32
CXCR7
RNPEPL1
RTN4
TRIM54
PELI1
SLC39A10
TTC7A
SMEK2
SLC4A10
CYP20A1
SPC25
BIRC6
ERMN
KIDINS220
MTA3
HECW2
WDR35
MARCH4
WDFY1
NYAP2
DPP10
RDH14
EPB41L5
ALS2
ZDBF2
USP37
CWC22
ANKRD36B
G6PC2
SLC4A5
CTDSP1
NLRC4
MPP4
SLC5A7
NIF3L1
AGBL5
C2orf43
THADA
PCGEM1
RBKS
GAL3ST2
TMBIM1
IFIH1
OSGEPL1
ATL2
ABCG5
ABCG8
RAB17
RNF25
HS1BP3
GMCL1
TTC31
ANAPC1
COPS7B
RMND5A
FNDC4
MARCH7
OBFC2A
PAPOLG
MRPS9
MRPS5
REEP1
RAPH1
CDK15
TMEM237
NBEAL1
CFLAR-AS1
MRPL44
SOWAHC
PLEKHA3
TRAK2
BOLL
COLEC11
PDCL3
TRPM8
ATG9A
C2orf49
MLPH
TMEM185B
FAM134A
CENPO
OR7E91P
GLB1L
C2orf47
SPAG16
CHPF
SAP130
GALNT14
SCRN3
CCDC121
FASTKD1
SMC6
GTDC1
CLIP4
IQCA1
ALS2CR8
TTC21B
CAMKMT
METTL8
GEMIN6
NHEJ1
FAM124B
TM4SF20
CYBRD1
C2orf54
NOL10
ANKRD53
CSRNP3
PGAP1
LRRTM4
DCAF17
TUBA4B
MZT2B
YSK4
UXS1
FBXO11
ARMC9
COQ10B
SLC35F5
EFHD1
C2orf44
SPHKAP
WNT10A
SLC19A3
TSGA10
THSD7B
THUMPD2
TMEM177
KIAA1715
ILKAP
FAM49A
LMAN2L
LBH
TMEM163
ITM2C
TCF7L1
INO80B
AMMECR1L
CDCA7
WDR54
ZRANB3
RAB6C
WDR75
FAM161A
FAM176A
ANTXR1
POLR1B
ELMOD3
RGPD5
C2orf16
RHBDD1
CHCHD5
YIPF4
PRADC1
C2orf88
ING5
CCDC115
MKI67IP
C2orf40
ZNF512
ZC3H8
KIAA1841
ST6GAL2
IL1F10
DPY30
MCEE
LOXL3
ABHD1
PCGF1
DDX11L2
MFSD9
PLCD4
SFT2D3
CCDC142
ZNF514
FAM136A
TMEM87B
ATOH8
LOC84931
MGC16025
TANC1
EPT1
LBX2
PNPT1
KCNH7
FER1L5
MCFD2
ATP6V1E2
LOC90499
CCDC74A
LOC90784
DHX57
LOC91149
SESTD1
CCDC74B
PKDCC
ANKRD44
RSAD2
ZNF804A
TTC30A
DAPL1
CAPN13
TMEM169
DNER
CCDC164
IMP4
HNRPLL
MARS2
B3GNT7
NT5C1B
NEURL3
SP140L
SFXN5
ORMDL1
LIMS3
LINC00152
TUBA3E
CCDC104
TEX261
TUBA3D
STK11IP
FMNL2
CCDC85A
GALNT13
KLHL29
OSBPL6
NOSTRIN
DIRC1
WDR92
MOGAT1
LYPD1
MRPL53
AGAP1
TWIST2
PARD3B
RPL23AP7
PPP1R21
C2orf89
TMEM150A
NUP35
XIRP2
TYW5
NMS
LYG1
MITD1
DIS3L2
CMPK2
MBOAT2
CNTNAP5
TMEM18
FBLN7
NEU4
RBM45
C2orf73
TRIM43
BBS5
C2orf77
ACMSD
ICA1L
FAM168B
CIB4
REG3G
RFTN2
C2orf63
PLEKHH2
AP1S3
C2orf76
SGPP2
ACVR1C
OSR1
TTC32
UBR3
KCTD18
ALS2CR12
ZNF513
SPATA3
LYPD6
LYPD6B
GALM
TMEM198
ZFAND2B
TMEM178
CPO
MDH1B
C2orf50
PQLC3
TMEM182
AHSA2
FBXO36
MTERFD2
CCDC148
C2orf65
MYO3B
TMEM37
UBE2F
DUSP19
CKAP2L
CBWD2
TEKT4
LOC150527
FLJ32063
LOC150568
SMYD1
C2orf15
LOC150622
OTOS
MYEOV2
OR6B3
COMMD1
PROM2
ANKAR
FBXO41
TTC30B
GPAT2
ITPRIPL1
LOC150776
WTH3DI
FAM117B
TCF23
LOC150935
FAM59B
PUS10
PKI55
LINC00309
LOC151009
SEPT10
C2orf67
PLB1
ZSWIM2
ZNF385B
LOC151171
LOC151174
ARL6IP6
METTL21A
CCNYL1
KLHL23
SULT1C2P1
PPP1R1C
SGOL2
ALS2CR11
SLC38A11
CCDC140
SLC23A3
LOC151300
GPBAR1
FAHD2B
MYADML
FAM84A
FAM82A1
GDF7
SLC16A14
LOC151475
LINC00471
LOC151484
MSL3P1
ASPRV1
WDSUB1
UPP2
LOC151534
GPR155
WDR69
LONRF2
CCDC138
GPR113
C2orf57
OXER1
FAM179A
FAM171B
C1QL2
UBXN2A
CLEC4F
DQX1
KCNG3
CYS1
FOXD4L1
PCDP1
VWA3B
CREG2
ALMS1P
TET3
GKN2
C2orf51
ANKRD23
APLF
PIKFYVE
KRTCAP3
LOC200726
TMEM17
SPRED2
TIGD1
LOC200772
FAM123C
LINC00116
C2orf69
HNRNPA3
SPDYA
ATP6V1C2
RNASEH1
LCLAT1
CCDC75
CERS6
METAP1D
LOC254128
LYG2
CCDC108
C2orf72
SH2D6
LOC284950
CCDC150
RNF149
LOC284998
LOC285000
FAM150B
CCDC141
LOC285033
LINC00486
C2orf61
LOC285074
LOC285084
CXXC11
LOC285103
DNAJC5G
IAH1
FLJ33534
CYP1B1-AS1
FAM126B
UNC80
RUFY4
PLGLA
RGPD4
DUSP28
STON1-GTF2A1L
SPOPL
MLK7-AS1
CYP27C1
ESPNL
C2orf70
C2orf53
LOC339788
LINC00299
LOC339803
C2orf74
LOC339807
LOC339822
MSGN1
C2orf55
FIGLA
NOTO
NCKAP5
FOXI3
EVX2
CDKL4
PRORSD1P
AOX2P
SH3RF3
GPR148
ECEL1P2
LRRTM1
GEN1
C2orf48
FONG
LOC348761
PFN4
LOC375190
LOC375196
ANKRD36
WASH2P
RBM43
LOC375295
CERKL
C2orf62
RBM44
AQP12A
ZC3H6
KLHL30
LOC386597
MFSD2B
C2orf71
LOC388942
LOC388946
LOC388948
TSPYL6
C2orf78
BOLA3
C2orf81
FUNDC2P2
C2orf68
SLC9A4
LOC389023
LOC389033
LOC389043
SP5
PLEKHM3
C2orf80
RESP18
C2orf82
OR6B2
PTRHD1
SULT6B1
DYTN
LOC400940
LINC00487
FLJ12334
LOC400950
UNQ6975
EML6
FLJ30838
FLJ16341
LOC400958
PCBP1-AS1
PAIP2B
RGPD1
FLJ42351
LOC401010
DKFZp686O1327
LOC401022
FSIP2
C2orf66
ASB18
FLJ43879
VWC2L
MIR10B
MIR128-1
MIR149
MIR153-1
MIR216A
MIR217
MIR26B
C2orf27B
DNAJB3
ASTL
CAPN14
ACTR3BP2
LOC440894
LOC440895
LOC440900
LOC440905
LOC440910
POTEKP
LOC440925
LOC442028
SULT1C3
POTEE
COA5
PHOSPHO2
CHAC2
MIR375
DFNB59
LOC541471
LOC554201
ANKRD30BL
FBXO48
SNORA41
FAM110C
LOC643387
PRR21
LOC644838
GGT8P
ANKRD36BP2
LOC645949
LOC646324
LOC646736
LOC646743
PRSS56
LOC647012
C2orf84
TRIM43B
CFC1B
AQP12B
RGPD3
MZT2A
SNORA75
LOC654342
FAM138B
LOC654433
SCARNA6
SCARNA5
SNORD11
SNORD70
SNORD89
SNORD92
SNORD94
MIR558
MIR559
MIR561
RGPD8
LOC727982
D2HGDH
LOC728323
POTEF
LOC728537
LOC728730
PABPC1P2
LOC728819
LOC729121
ANKRD20A8P
LOC729234
RAD51AP2
RGPD6
DIRC3
DNAJC27-AS1
RGPD2
MORN2
LOC730811
RFX8
SNORD11B
SNORA36C
SNORA70B
MIR216B
MIR933
LOC100128590
OST4
LOC100129175
LOC100129726
LOC100129961
PP14571
LOC100130451
LOC100130452
LOC100130691
TMEM194B
LOC100131320
SP9
LOC100132215
CYP4F30P
LOC100133985
LOC100134259
LOC100144595
RNU4ATAC
DBIL5P2
SNAR-H
LOC100189589
LOC100216479
ARHGEF33
LOC100271832
LIMS3-LOC440895
LOC100286922
LOC100286979
LOC100287010
LOC100287216
LOC100288570
LIMS3L
LOC100288911
MIR1471
MIR1246
MIR548N
MIR1258
MIR1245A
MIR1301
MIR1244-1
LOC100302650
GPR75-ASB3
SNORA80B
ZEB2-AS1
MIR548F2
MIR663B
LOC100329109
SNORA70F
BOK-AS1
MIR3128
MIR4265
MIR1244-3
MIR1244-2
MIR4264
MIR3129
MIR3127
MIR4261
MIR3131
MIR4268
MIR4263
MIR3125
MIR3130-1
MIR4267
MIR4262
MIR3130-2
MIR4266
MIR3126
MIR2355
MIR3132
MIR4269
LOC100499194
MIR3606
MIR3682
MIR3679
LOC100505624
LOC100505695
LOC100505716
LOC100505876
LOC100505964
LOC100506054
LOC100506123
LOC100506124
LOC100506134
LOC100506274
LOC100506421
LOC100506474
LOC100506783
LOC100506866
LOC100507140
BOLA3-AS1
LOC100507334
LOC100507443
LOC100507600
LY75-CD302
RNF103-CHMP3
NT5C1B-RDH14
PHOSPHO2-KLHL23
HSPE1-MOB4
INO80B-WBP1
UBE2F-SCLY
MIR4436B1
MIR4772
MIR4779
MIR4783
MIR4439
MIR4782
MIR4437
MIR4765
MIR4776-1
MIR4757
MIR4777
MIR1245B
MIR4435-2
MIR4426
MIR4774
MIR2467
MIR4775
MIR4785
MIR4784
MIR4773-1
MIR4444-1
MIR4440
MIR4436A
MIR4786
MIR4773-2
MIR4434
MIR4780
MIR4778
MIR4429
MIR4776-2
MIR4432
MIR548AD
MIR4441
MIR4435-1
LOC100630918
LOC100861402
Arm-level results

Table 3.  Get Full Table Arm-level significance table - 15 significant results found.

Arm # Genes Amp Frequency Amp Z score Amp Q value Del Frequency Del Z score Del Q value
1p 2121 0.02 -2.61 1 0.12 0.996 0.913
1q 1955 0.09 -0.222 1 0.07 -0.811 1
2p 924 0.12 0.0279 1 0.01 -3.44 1
2q 1556 0.14 1.06 0.413 0.00 -3.47 1
3p 1062 0.28 5.38 1.14e-07 0.08 -1.03 1
3q 1139 0.32 6.7 4.11e-11 0.04 -2.21 1
4p 489 0.05 -2.51 1 0.10 -0.973 1
4q 1049 0.04 -2.54 1 0.10 -0.656 1
5p 270 0.14 0.0834 1 0.07 -1.93 1
5q 1427 0.12 0.301 0.954 0.07 -1.37 1
6p 1173 0.04 -2.51 1 0.09 -0.871 1
6q 839 0.03 -2.92 1 0.11 -0.535 1
7p 641 0.56 14 0 0.00 -2.74 1
7q 1277 0.57 15.8 0 0.00 -2.52 1
8p 580 0.07 -1.77 1 0.05 -2.55 1
8q 859 0.09 -1.1 1 0.03 -2.95 1
9p 422 0.02 -3.3 1 0.14 0.276 1
9q 1113 0.01 -3.31 1 0.15 1.03 0.913
10p 409 0.04 -2.91 1 0.07 -1.89 1
10q 1268 0.03 -2.81 1 0.07 -1.43 1
11p 862 0.04 -2.7 1 0.07 -1.64 1
11q 1515 0.03 -2.63 1 0.10 -0.375 1
12p 575 0.34 6.97 7.13e-12 0.00 -3.35 1
12q 1447 0.34 8.1 1.9e-15 0.00 -3.07 1
13q 654 0.14 0.496 0.827 0.11 -0.54 1
14q 1341 0.03 -2.47 1 0.19 2.78 0.0357
15q 1355 0.02 -2.99 1 0.10 -0.219 1
16p 872 0.50 12.2 0 0.07 -1.33 1
16q 702 0.47 11.1 0 0.06 -1.5 1
17p 683 0.57 14.1 0 0.11 -0.307 1
17q 1592 0.63 18.5 0 0.00 -2.25 1
18p 143 0.07 -1.84 1 0.18 1.39 0.658
18q 446 0.05 -2.27 1 0.19 1.81 0.35
19p 995 0.02 -3.27 1 0.05 -2.2 1
19q 1709 0.02 -2.97 1 0.04 -2.11 1
20p 355 0.34 6.57 9.18e-11 0.03 -2.77 1
20q 753 0.37 8.03 2.78e-15 0.00 -3.23 1
21q 509 0.05 -2.37 1 0.14 0.45 1
22q 921 0.01 -3.13 1 0.25 4.31 0.000322
Xq 1312 0.31 6.11 1.63e-09 0.22 3.16 0.0157
Methods & Data
Input
Description
  • Segmentation File: The segmentation file contains the segmented data for all the samples identified by GLAD, CBS, or some other segmentation algorithm. (See GLAD file format in the Genepattern file formats documentation.) It is a six column, tab-delimited file with an optional first line identifying the columns. Positions are in base pair units.The column headers are: (1) Sample (sample name), (2) Chromosome (chromosome number), (3) Start Position (segment start position, in bases), (4) End Position (segment end position, in bases), (5) Num markers (number of markers in segment), (6) Seg.CN (log2() -1 of copy number).

  • Markers File: The markers file identifies the marker names and positions of the markers in the original dataset (before segmentation). It is a three column, tab-delimited file with an optional header. The column headers are: (1) Marker Name, (2) Chromosome, (3) Marker Position (in bases).

  • Reference Genome: The reference genome file contains information about the location of genes and cytobands on a given build of the genome. Reference genome files are created in Matlab and are not viewable with a text editor.

  • CNV Files: There are two options for the cnv file. The first option allows CNVs to be identified by marker name. The second option allows the CNVs to be identified by genomic location. Option #1: A two column, tab-delimited file with an optional header row. The marker names given in this file must match the marker names given in the markers file. The CNV identifiers are for user use and can be arbitrary. The column headers are: (1) Marker Name, (2) CNV Identifier. Option #2: A 6 column, tab-delimited file with an optional header row. The 'CNV Identifier' is for user use and can be arbitrary. 'Narrow Region Start' and 'Narrow Region End' are also not used. The column headers are: (1) CNV Identifier, (2) Chromosome, (3) Narrow Region Start, (4) Narrow Region End, (5) Wide Region Start, (6) Wide Region End

  • Amplification Threshold: Threshold for copy number amplifications. Regions with a log2 ratio above this value are considered amplified.

  • Deletion Threshold: Threshold for copy number deletions. Regions with a log2 ratio below the negative of this value are considered deletions.

  • Cap Values: Minimum and maximum cap values on analyzed data. Regions with a log2 ratio greater than the cap are set to the cap value; regions with a log2 ratio less than -cap value are set to -cap. Values must be positive.

  • Broad Length Cutoff: Threshold used to distinguish broad from focal events, given in units of fraction of chromosome arm.

  • Remove X-Chromosome: Flag indicating whether to remove data from the X-chromosome before analysis. Allowed values= {1,0} (1: Remove X-Chromosome, 0: Do not remove X-Chromosome.

  • Confidence Level: Confidence level used to calculate the region containing a driver.

  • Join Segment Size: Smallest number of markers to allow in segments from the segmented data. Segments that contain fewer than this number of markers are joined to the neighboring segment that is closest in copy number.

  • Arm Level Peel Off: Flag set to enable arm-level peel-off of events during peak definition. The arm-level peel-off enhancement to the arbitrated peel-off method assigns all events in the same chromosome arm of the same sample to a single peak. It is useful when peaks are split by noise or chromothripsis. Allowed values= {1,0} (1: Use arm level peel off, 0: Use normal arbitrated peel-off).

  • Maximum Sample Segments: Maximum number of segments allowed for a sample in the input data. Samples with more segments than this threshold are excluded from the analysis.

Values

List of inputs used for this run of GISTIC2. All files listed should be included in the archived results.

  • Segmentation File = /xchip/cga/gdac-prod/tcga-gdac/jobResults/GDAC_MergeDataFilesPipeline/KIRP-TP/2588366/2.GDAC_MergeDataFiles.Finished/KIRP-TP.snp__genome_wide_snp_6__broad_mit_edu__Level_3__segmented_scna_minus_germline_cnv_hg19__seg.seg.txt

  • Markers File = /xchip/cga/reference/gistic2/genome.info.6.0_hg19.na31_minus_frequent_nan_probes_sorted_2.1.txt

  • Reference Genome = /xchip/cga/reference/gistic2/hg19_with_miR_20120227.mat

  • CNV Files = /xchip/cga/reference/gistic2/CNV.hg19.bypos.111213.txt

  • Amplification Threshold = 0.1

  • Deletion Threshold = 0.1

  • Cap Values = 1.5

  • Broad Length Cutoff = 0.7

  • Remove X-Chromosome = 0

  • Confidence Level = 0.99

  • Join Segment Size = 4

  • Arm Level Peel Off = 1

  • Maximum Sample Segments = 2000

Table 4.  Get Full Table First 10 out of 117 Input Tumor Samples.

Tumor Sample Names
TCGA-A4-7286-01A-11D-2135-01
TCGA-A4-7287-01A-11D-2135-01
TCGA-A4-7288-01A-11D-2135-01
TCGA-A4-7583-01A-11D-2135-01
TCGA-A4-7584-01A-11D-2135-01
TCGA-A4-7585-01A-11D-2135-01
TCGA-A4-7732-01A-11D-2135-01
TCGA-A4-7734-01A-11D-2135-01
TCGA-A4-7828-01A-11D-2135-01
TCGA-A4-7915-01A-11D-2200-01

Figure 3.  Segmented copy number profiles in the input data

Output
All Lesions File (all_lesions.conf_##.txt, where ## is the confidence level)

The all lesions file summarizes the results from the GISTIC run. It contains data about the significant regions of amplification and deletion as well as which samples are amplified or deleted in each of these regions. The identified regions are listed down the first column, and the samples are listed across the first row, starting in column 10.

Region Data

Columns 1-9 present the data about the significant regions as follows:

  1. Unique Name: A name assigned to identify the region.

  2. Descriptor: The genomic descriptor of that region.

  3. Wide Peak Limits: The 'wide peak' boundaries most likely to contain the targeted genes. These are listed in genomic coordinates and marker (or probe) indices.

  4. Peak Limits: The boundaries of the region of maximal amplification or deletion.

  5. Region Limits: The boundaries of the entire significant region of amplification or deletion.

  6. Q values: The Q value of the peak region.

  7. Residual Q values: The Q value of the peak region after removing ('peeling off') amplifications or deletions that overlap other, more significant peak regions in the same chromosome.

  8. Broad or Focal: Identifies whether the region reaches significance due primarily to broad events (called 'broad'), focal events (called 'focal'), or independently significant broad and focal events (called 'both').

  9. Amplitude Threshold: Key giving the meaning of values in the subsequent columns associated with each sample.

Sample Data

Each of the analyzed samples is represented in one of the columns following the lesion data (columns 10 through end). The data contained in these columns varies slightly by section of the file. The first section can be identified by the key given in column 9 - it starts in row 2 and continues until the row that reads 'Actual Copy Change Given.' This section contains summarized data for each sample. A '0' indicates that the copy number of the sample was not amplified or deleted beyond the threshold amount in that peak region. A '1' indicates that the sample had low-level copy number aberrations (exceeding the low threshold indicated in column 9), and a '2' indicates that the sample had high-level copy number aberrations (exceeding the high threshold indicated in column 9).The second section can be identified the rows in which column 9 reads 'Actual Copy Change Given.' The second section exactly reproduces the first section, except that here the actual changes in copy number are provided rather than zeroes, ones, and twos.The final section is similar to the first section, except that here only broad events are included. A 1 in the samples columns (columns 10+) indicates that the median copy number of the sample across the entire significant region exceeded the threshold given in column 9. That is, it indicates whether the sample had a geographically extended event, rather than a focal amplification or deletion covering little more than the peak region.

Amplification Genes File (amp_genes.conf_##.txt, where ## is the confidence level)

The amp genes file contains one column for each amplification peak identified in the GISTIC analysis. The first four rows are:

  1. Cytoband

  2. Q value

  3. Residual Q value

  4. Wide Peak Boundaries

These rows identify the lesion in the same way as the all lesions file.The remaining rows list the genes contained in each wide peak. For peaks that contain no genes, the nearest gene is listed in brackets.

Deletion Genes File (del_genes.conf_##.txt, where ## is the confidence level)

The del genes file contains one column for each deletion peak identified in the GISTIC analysis. The file format for the del genes file is identical to the format for the amp genes file.

Gistic Scores File (scores.gistic)

The scores file lists the Q values [presented as -log10(q)], G scores, average amplitudes among aberrant samples, and frequency of aberration, across the genome for both amplifications and deletions. The scores file is viewable with the Genepattern SNPViewer module and may be imported into the Integrated Genomics Viewer (IGV).

Segmented Copy Number (raw_copy_number.{fig|pdf|png} )

The segmented copy number is a pdf file containing a colormap image of the segmented copy number profiles in the input data.

Amplification Score GISTIC plot (amp_qplot.{fig|pdf|png|v2.pdf})

The amplification pdf is a plot of the G scores (top) and Q values (bottom) with respect to amplifications for all markers over the entire region analyzed.

Deletion Score GISTIC plot (del_qplot.{fig|pdf|png|v2.pdf})

The deletion pdf is a plot of the G scores (top) and Q values (bottom) with respect to deletions for all markers over the entire region analyzed.

Tables (table_{amp|del}.conf_##.txt, where ## is the confidence level)

Tables of basic information about the genomic regions (peaks) that GISTIC determined to be significantly amplified or deleted. These describe three kinds of peak boundaries, and list the genes contained in two of them. The region start and region end columns (along with the chromosome column) delimit the entire area containing the peak that is above the significance level. The region may be the same for multiple peaks. The peak start and end delimit the maximum value of the peak. The extended peak is the peak determined by robust, and is contained within the wide peak reported in {amp|del}_genes.txt by one marker.

Broad Significance Results (broad_significance_results.txt)

A table of per-arm statistical results for the data set. Each arm is a row in the table. The first column specifies the arm and the second column counts the number of genes known to be on the arm. For both amplification and deletion, the table has columns for the frequency of amplification or deletion of the arm, and a Z score and Q value.

Broad Values By Arm (broad_values_by_arm.txt)

A table of chromosome arm amplification levels for each sample. Each row is a chromosome arm, and each column a sample. The data are in units of absolute copy number -2.

All Data By Genes (all_data_by_genes.txt)

A gene-level table of copy number values for all samples. Each row is the data for a gene. The first three columns name the gene, its NIH locus ID, and its cytoband - the remaining columns are the samples. The copy number values in the table are in units of (copy number -2), so that no amplification or deletion is 0, genes with amplifications have positive values, and genes with deletions are negative values. The data are converted from marker level to gene level using the extreme method: a gene is assigned the greatest amplification or the least deletion value among the markers it covers.

Broad Data By Genes (broad_data_by_genes.txt)

A gene-level table of copy number data similar to the all_data_by_genes.txt output, but using only broad events with lengths greater than the broad length cutoff. The structure of the file and the methods and units used for the data analysis are otherwise identical to all_data_by_genes.txt.

Focal Data By Genes (focal_data_by_genes.txt)

A gene-level table of copy number data similar to the all_data_by_genes.txt output, but using only focal events with lengths greater than the focal length cutoff. The structure of the file and the methods and units used for the data analysis are otherwise identical to all_data_by_genes.txt.

All Thresholded By Genes (all_thresholded.by_genes.txt)

A gene-level table of discrete amplification and deletion indicators at for all samples. There is a row for each gene. The first three columns name the gene, its NIH locus ID, and its cytoband - the remaining columns are the samples. A table value of 0 means no amplification or deletion above the threshold. Amplifications are positive numbers: 1 means amplification above the amplification threshold; 2 means amplifications larger to the arm level amplifications observed for the sample. Deletions are represented by negative table values: -1 represents deletion beyond the threshold; -2 means deletions greater than the minimum arm-level deletion observed for the sample.

Sample Cutoffs (sample_cutoffs.txt)

A table of the per-sample threshold cutoffs (in units of absolute copy number -2) used to distinguish the high level amplifications (+/-2) from ordinary amplifications (+/-1) in the all_thresholded.by_genes.txt output file. The table contains three columns: the sample identifier followed by the low (deletion) and high (amplification) cutoff values. The cutoffs are calculated as the minimum arm-level amplification level less the deletion threshold for deletions and the maximum arm-level amplification plus the amplification threshold for amplifications.

Focal Input To Gistic (focal_input.seg.txt)

A list of copy number segments describing just the focal events present in the data. The segment amplification/deletion levels are in units of (copy number -2), with amplifications positive and deletions negative numbers. This file may be viewed with IGV.

Gene Counts vs. Copy Number Alteration Frequency (freqarms_vs_ngenes.{fig|pdf})

An image showing the correlation between gene counts and frequency of copy number alterations.

Confidence Intervals (regions_track.conf_##.bed, where ## is the confidence level)

A file indicating the position of the confidence intervals around GISTIC peaks that can be loaded as a track in a compatible viewer browser such as IGV or the UCSC genome browser.

GISTIC

GISTIC identifies genomic regions that are significantly gained or lost across a set of tumors. It takes segmented copy number ratios as input, separates arm-level events from focal events, and then performs two tests: (i) identifies significantly amplified/deleted chromosome arms; and (ii) identifies regions that are significantly focally amplified or deleted. For the focal analysis, the significance levels (Q values) are calculated by comparing the observed gains/losses at each locus to those obtained by randomly permuting the events along the genome to reflect the null hypothesis that they are all 'passengers' and could have occurred anywhere. The locus-specific significance levels are then corrected for multiple hypothesis testing. The arm-level significance is calculated by comparing the frequency of gains/losses of each arm to the expected rate given its size. The method outputs genomic views of significantly amplified and deleted regions, as well as a table of genes with gain or loss scores. A more in depth discussion of the GISTIC algorithm and its utility is given in [1], [3], and [5].

CNV Description

Regions of the genome that are prone to germ line variations in copy number are excluded from the GISTIC analysis using a list of germ line copy number variations (CNVs). A CNV is a DNA sequence that may be found at different copy numbers in the germ line of two different individuals. Such germ line variations can confound a GISTIC analysis, which finds significant somatic copy number variations in cancer. A more in depth discussion is provided in [6]. GISTIC currently uses two CNV exclusion lists. One is based on the literature describing copy number variation, and a second one comes from an analysis of significant variations among the blood normals in the TCGA data set.

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] Beroukhim et al, Assessing the significance of chromosomal aberrations in cancer: Methodology and application to glioma, Proc Natl Acad Sci U S A. Vol. 104:50 (2007)
[3] Mermel et al, GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers, Genome Biology Vol. 12:4 (2011)
[5] Beroukhim et al., The landscape of somatic copy-number alteration across human cancers, Nature Vol. 463:7283 (2010)
[6] McCarroll, S. A. et al., Integrated detection and population-genetic analysis of SNPs and copy number variation, Nat Genet Vol. 40(10):1166-1174 (2008)