SNP6 Copy number analysis (GISTIC2)
Pheochromocytoma and Paraganglioma (Primary solid tumor)
16 April 2014  |  analyses__2014_04_16
Maintainer Information
Citation Information
Maintained by Dan DiCara (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2014): SNP6 Copy number analysis (GISTIC2). Broad Institute of MIT and Harvard. doi:10.7908/C1VM49XC
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 2.0.21 (Firehose task version: 127).

Summary

There were 159 tumor samples used in this analysis: 18 significant arm-level results, 5 significant focal amplifications, and 22 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 - 5 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
1q21.3 0.00041626 0.00041626 chr1:120523956-154950221 251
4q31.1 0.0015228 0.0015228 chr4:140946021-141006734 1
17q21.31 0.0083183 0.0083183 chr17:42282074-42389627 3
12q13.3 0.034884 0.034884 chr12:55017371-58374945 119
14q24.3 0.066346 0.066346 chr14:77411889-77529068 1
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 1q21.3.

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

Genes
ARNT
BCL9
NOTCH2
TPM3
PDE4DIP
hsa-mir-4258
hsa-mir-190b
hsa-mir-554
hsa-mir-4257
hsa-mir-3118-3
hsa-mir-3118-2
hsa-mir-3118-1
ADAR
CHRNB2
CKS1B
CTSK
CTSS
ECM1
ENSA
FCGR1A
FCGR1B
FLG
FMO5
GJA5
GJA8
IL6R
ILF2
IVL
KCNN3
LOR
MCL1
SMCP
NPR1
PDZK1
PI4KB
PRKAB2
PSMB4
PSMD4
RAB13
RFX5
RORC
RPS27
S100A1
S100A2
S100A3
S100A4
S100A5
S100A6
S100A7
S100A8
S100A9
S100A10
S100A11
S100A12
S100A13
SHC1
SPRR1A
SPRR1B
SPRR2A
SPRR2B
SPRR2C
SPRR2D
SPRR2E
SPRR2F
SPRR2G
SPRR3
VPS72
TCHH
TUFT1
HIST2H2AA3
HIST2H2AC
HIST2H2BE
HIST2H4A
PIP5K1A
ANXA9
ITGA10
PEX11B
SELENBP1
PRPF3
SEC22B
CHD1L
SETDB1
UBAP2L
SV2A
DENND4B
RBM8A
SF3B4
PIAS3
HAX1
SEMA6C
POLR3C
TXNIP
PMVK
JTB
MTMR11
MLLT11
SLC27A3
TDRKH
CD160
CELF3
VPS45
POGZ
RPRD2
SNAPIN
CA14
NBPF14
C1orf43
CHTOP
LCE2B
SLC39A1
RNF115
TMOD4
CERS2
CRNN
BOLA1
APH1A
PLEKHO1
ACP6
GPR89B
OAZ3
MRPS21
ADAMTSL4
CRCT1
C1orf56
GOLPH3L
UBE2Q1
FAM63A
CDC42SE1
OTUD7B
PGLYRP4
ATP8B2
FAM91A2
PBXIP1
S100A14
GATAD2B
CGN
ZNF687
PRUNE
MRPL9
INTS3
SCNM1
TNFAIP8L2
C1orf54
TARS2
SNX27
ANP32E
HORMAD1
POLR3GL
LCE3D
AQP10
PYGO2
NUP210L
PGLYRP3
GNRHR2
THEM4
GABPB2
TCHHL1
RPTN
TDRD10
SHE
HIST2H3C
LIX1L
S100A16
CREB3L4
C1orf51
HFE2
ANKRD35
LELP1
BNIPL
SPRR4
PPIAL4A
PDIA3P
LCE4A
NBPF11
NUDT17
CRTC2
LCE5A
RIIAD1
THEM5
NBPF15
ANKRD34A
HIST2H2AB
HIST2H3A
HIST2H2BC
HIST2H2BA
S100A7A
LINGO4
LCE1A
LCE1B
LCE1C
LCE1D
LCE1E
LCE1F
LCE2A
LCE2C
LCE2D
LCE3A
LCE3B
LCE3C
LCE3E
LOC375010
NOTCH2NL
FLJ39739
LOC388692
LYSMD1
HRNR
FLG2
C1orf189
NBPF9
HIST2H2BF
KPRP
LCE6A
HIST2H4B
PRR9
PPIAL4G
PPIAL4D
LOC645166
S100A7L2
EMBP1
SRGAP2P2
PPIAL4B
LOC653513
GPR89A
PPIAL4C
HIST2H3D
FAM72B
MIR554
HIST2H2AA4
FAM72D
LOC728855
LOC728875
NBPF24
GPR89C
NBPF16
PDZK1P1
PPIAL4F
LOC728989
PPIAL4E
PFN1P2
MIR190B
C1orf68
LOC100130000
LOC100132111
NBPF10
FCGR1C
C2CD4D
LOC100286793
LOC100289211
MIR4257
MIR4258
TNFAIP8L2-SCNM1
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 4q31.1.

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

Genes
MAML3
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 17q21.31.

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

Genes
SLC4A1
UBTF
RUNDC3A
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 12q13.3.

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

Genes
CDK4
DDIT3
NACA
hsa-mir-26a-2
hsa-mir-616
hsa-mir-1228
APOF
ATP5B
CD63
CDK2
CS
CYP27B1
DGKA
ERBB3
B4GALNT1
BLOC1S1
GLI1
INHBC
ITGA7
KIF5A
LRP1
MARS
METTL1
MIP
MMP19
MYL6
MYO1A
NAB2
PA2G4
PRIM1
RAB5B
RBMS2
RDH5
RPL41
RPS26
TSPAN31
SHMT2
PMEL
SMARCC2
STAT2
STAT6
SUOX
TAC3
RDH16
HSD17B6
TIMELESS
KIAA0748
ZBTB39
PAN2
TSFM
CTDSP2
RNF41
GDF11
CNPY2
DCTN2
AVIL
PTGES3
OS9
BAZ2A
NXPH4
GPR182
R3HDM2
TMEM194A
ESYT1
METTL21B
SNORD59A
GLS2
ORMDL2
IL23A
NDUFA4L2
NEUROD4
ARHGAP9
IKZF4
SLC26A10
OBFC2B
PIP4K2C
INHBE
WIBG
SARNP
ZC3H10
DNAJC14
LACRT
XRCC6BP1
MARCH9
COQ10A
MBD6
ARHGEF25
AGAP2
DCD
MUCL1
OR10P1
SDR9C7
OR10A7
MYL6B
DTX3
METTL7B
STAC3
OR6C74
OR6C3
OR6C6
ANKRD52
SLC39A5
SPRYD4
OR6C2
OR6C4
OR6C1
OR6C75
OR6C76
OR6C70
OR6C65
OR6C68
MIR26A2
TMEM198B
OR9K2
SNORD59B
LOC100130776
MIR1228
LOC100506844
BLOC1S1-RDH5
Genes in Wide Peak

This is the comprehensive list of amplified genes in the wide peak for 14q24.3.

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

Genes
IRF2BPL

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 - 22 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
1p12 6.9034e-18 1.9241e-17 chr1:117751737-118152240 1
17q11.2 1.6281e-10 1.7784e-10 chr17:29326736-29622105 2
3p24.1 8.5353e-06 8.5353e-06 chr3:27762089-28433157 2
3q26.1 1.3401e-05 1.237e-05 chr3:161217822-163894013 2
11q22.1 5.2842e-05 5.3191e-05 chr11:96126036-100558999 1
22q13.31 0.00012146 0.0002071 chr22:47571204-48018269 1
9p24.2 0.00049947 0.00049137 chr9:2842384-3826080 1
11p15.4 0.002957 0.0030322 chr11:1-12135187 283
6p12.3 0.0052897 0.0052897 chr6:49915604-49978544 2
16q21 0.011001 0.010483 chr16:59786558-64981096 2
5q23.1 0.015648 0.016166 chr5:76377139-167691641 553
8p22 0.018057 0.017739 chr8:14710032-16024383 3
6q16.1 0.02231 0.022273 chr6:92231219-94419827 2
4q32.3 0.0024923 0.0266 chr4:124570409-191154276 249
17p13.2 0.0274 0.0266 chr17:6344536-6547775 3
12q21.32 0.032922 0.033185 chr12:86272506-88176964 2
4q22.1 0.020401 0.047877 chr4:90762789-91050179 1
Xp21.1 0.13663 0.13097 chrX:30870233-34644819 4
9q21.12 0.15694 0.15226 chr9:38614979-106905276 283
1p36.32 1.1662e-05 0.17454 chr1:1-103577337 1091
1q44 0.24806 0.24806 chr1:1-249250621 2410
22q12.3 0.12135 0.24806 chr22:1-51304566 560
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 1p12.

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

Genes
MAN1A2
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 17q11.2.

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

Genes
NF1
MIR4733
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 3p24.1.

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

Genes
AZI2
CMC1
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 3q26.1.

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

Genes
hsa-mir-1263
LOC647107
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 11q22.1.

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

Genes
CNTN5
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 22q13.31.

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

Genes
LOC339685
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 9p24.2.

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

Genes
RFX3
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 11p15.4.

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

Genes
CARS
HRAS
LMO1
NUP98
hsa-mir-4299
hsa-mir-302e
hsa-mir-483
hsa-mir-675
hsa-mir-4298
hsa-mir-210
ADM
AP2A2
AMPD3
APBB1
RHOG
ART1
ASCL2
CCKBR
CD81
CD151
CDKN1C
TPP1
CNGA4
CTSD
DRD4
DUSP8
EIF4G2
HBB
HBBP1
HBD
HBE1
HBG1
HBG2
HPX
IGF2
ILK
INS
IRF7
KCNQ1
LSP1
MUC2
MUC6
NAP1L4
SLC22A18
SLC22A18AS
POLR2L
PSMD13
RNH1
MRPL23
RPL27A
RPLP2
RRM1
SCT
SMPD1
TRIM21
ST5
STIM1
TAF10
TALDO1
TH
TSPAN4
TNNI2
TNNT3
TRPC2
PHLDA2
TUB
WEE1
ZNF143
ZNF195
ZNF214
ZNF215
RASSF7
PPFIBP2
IFITM1
OR6A2
DCHS1
EIF3F
BRSK2
CTR9
TRIM66
TSPAN32
TSSC4
MRVI1
TRIM22
IFITM3
DEAF1
IPO7
IFITM2
TRIM3
OR7E12P
LYVE1
KCNQ1OT1
PKP3
SWAP70
DENND5A
RRP8
SIRT3
OR52A1
ARFIP2
OR5E1P
OR10A3
FXC1
DKK3
RBMXL2
PGAP2
C11orf21
TRPM5
UBQLN3
RNF141
IGF2-AS1
BET1L
CEND1
CYB5R2
TRIM34
CDHR5
TOLLIP
USP47
TRIM68
PIDD
KCNQ1DN
MMP26
AKIP1
C11orf16
TMEM9B
NRIP3
ASCL3
CHRNA10
PNPLA2
PHRF1
SCUBE2
ZBED5
SIGIRR
RIC8A
MRPL17
EPS8L2
STK33
CHID1
OR51G1
OR51B4
OR51B2
OR52N1
RIC3
SLC25A22
ATHL1
OR51G2
OR51E2
PTDSS2
MOB2
SBF2
FAM160A2
TRIM5
SYT8
PRKCDBP
ODF3
OSBPL5
LRRC56
MRGPRE
ART5
TRIM78P
TRIM6
OR52E2
OR52J3
OR51L1
OR51A7
OR51S1
OR51F2
OR52R1
OR52M1
OR52K2
OR5P2
OR5P3
OR2D3
OR2D2
OR52W1
OR56A4
OR56A1
SYT9
OR52B4
C11orf40
OR52I2
OR51E1
UBQLNL
LOC143666
OR10A5
OR2AG1
DNHD1
SCGB1C1
C11orf42
NLRP6
NS3BP
OR56B4
LOC255512
OR52B2
C11orf35
OR51F1
OR51B5
KRT8P41
LOC283104
CSNK2A1P
OR51V1
H19
EFCAB4A
TMEM80
OR10A4
OLFML1
LOC283299
C11orf36
NLRP10
NLRP14
ANO9
LOC338651
B4GALNT4
OR52L1
OR2AG2
OR52B6
OR10A2
OVCH2
PDDC1
GALNTL4
MRGPRG
KRTAP5-1
KRTAP5-3
KRTAP5-4
IFITM5
FAM99A
OR56B1
GVINP1
OR52K1
OR52I1
OR51D1
OR52A5
OR51B6
OR51M1
OR51Q1
OR51I1
OR51I2
OR52D1
OR52H1
OR52N4
OR52N5
OR52N2
OR52E6
OR52E8
OR52E4
OR56A3
OR56A5
OR10A6
OR51T1
OR51A4
OR51A2
IFITM10
MIR210
KRTAP5-5
KRTAP5-2
KRTAP5-6
TMEM41B
LOC440028
TRIM6-TRIM34
MIR483
SNORA3
SNORA52
LOC644656
LOC650368
LOC653486
SNORA23
SNORA45
SNORA54
SNORD97
INS-IGF2
MUC5B
LOC729013
MIR675
MRVI1-AS1
FAM99B
LOC100133161
MRPL23-AS1
MIR4298
MIR4299
MTRNR2L8
MIR210HG
MIR4686
MIR4485
MIR4687
Genes in Wide Peak

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

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

Genes
DEFB113
DEFB114
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 16q21.

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

Genes
CDH8
LOC644649
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 5q23.1.

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

Genes
APC
CD74
EBF1
ITK
PDGFRB
hsa-mir-146a
hsa-mir-3142
hsa-mir-1303
hsa-mir-3141
hsa-mir-1294
hsa-mir-378
hsa-mir-145
hsa-mir-584
hsa-mir-874
hsa-mir-886
hsa-mir-1289-2
hsa-mir-1244-2
hsa-mir-548f-3
hsa-mir-548p
hsa-mir-583
hsa-mir-2277
hsa-mir-9-2
hsa-mir-4280
ADRA1B
ADRB2
ANXA6
ARSB
ATOX1
ALDH7A1
BHMT
CAMK4
CAMK2A
CAMLG
CAST
CCNG1
CCNH
CD14
CDC25C
CDO1
CDX1
CETN3
CHD1
CKMT2
AP3S1
COX7C
HAPLN1
CSF1R
CSF2
CSNK1A1
CSNK1G3
VCAN
CTNNA1
DMXL1
DHFR
DIAPH1
DPYSL3
SLC26A2
HBEGF
EFNA5
EGR1
ETF1
FABP6
FAT2
FBN2
FER
FGF1
GABRA1
GABRA6
GABRB2
GABRG2
GDF9
GFRA3
GLRA1
GLRX
GM2A
GPX3
GRIA1
NR3C1
HARS
HINT1
HMMR
HSD17B4
HSPA4
HSPA9
NDST1
HTR4
IK
IL3
IL4
IL5
IL9
IL12B
IL13
IRF1
KCNN2
LECT2
LMNB1
LNPEP
LOX
SMAD5
MAN2A1
MCC
MEF2C
MFAP3
MSH3
NDUFA2
NEUROG1
NPY6R
PAM
PCDH1
PCDHGC3
PCSK1
PDE6A
PFDN1
PGGT1B
PITX1
POU4F3
PPIC
PPP2CA
PPP2R2B
PURA
RASA1
RASGRF2
RPS14
RPS23
SGCD
SKP1
SLC6A7
SLC12A2
SLC22A4
SLC22A5
SNX2
SPARC
SPINK1
SPOCK1
SRP19
TAF7
TBCA
TCF7
TCOF1
NR2F1
TGFBI
THBS4
TTC1
UBE2B
UBE2D2
VDAC1
WNT8A
XRCC4
ST8SIA4
REEP5
NME5
AP3B1
PDLIM4
PDE8B
EIF4EBP3
PCDHGB4
CDC23
ADAM19
HDAC3
P4HA2
ATG12
PTTG1
NREP
CNOT8
RAB9BP1
HAND1
MED7
HOMER1
MYOT
SCAMP1
NRG2
CXCL14
H2AFY
SMAD5-AS1
RNF14
SNCAIP
TTC37
CLINT1
PCDHGA8
PCDHA9
ZFYVE16
MATR3
KIAA0141
JAKMIP2
PJA2
DDX46
SLC23A1
GNPDA1
SRA1
EDIL3
RAD50
KIF20A
G3BP1
LHFPL2
APBB3
TNIP1
SLU7
POLR3G
SEC24A
C5orf4
FAM114A2
BRD8
TCERG1
HNRNPA0
SPINK5
SOX30
KIF3A
SYNPO
RHOBTB3
ABLIM3
ELL2
HMGXB3
ARHGAP26
FSTL4
ATP10B
SEPT8
PPIP5K2
ACSL6
PHF15
LARP1
HARS2
OTP
SSBP2
BHMT2
TNFAIP8
GEMIN5
PCDHGA12
LRRTM2
CCDC69
PCDHB5
FBXL21
KLHL3
HAVCR1
SNORD63
SNORA74A
RNU5E-1
RNU5D-1
CYFIP2
PKD2L2
UQCRQ
AFF4
IL17B
MAT2B
SLC27A6
SNX24
MRPL22
PCDHB1
DMGDH
TMED7
ISOC1
SAR1B
DCTN4
MZB1
PAIP2
CDKL3
PCDH12
FAM13B
FAM53C
REEP2
PRR16
COMMD10
LARS
CXXC5
RAPGEF6
ERAP1
KDM3B
PHAX
RBM27
FLJ11235
PCDHB18
PCDHB17
ZCCHC10
GIN1
WDR55
ANKHD1
THG1L
WDR41
TMCO6
TRIM36
GALNT10
RBM22
RIOK2
PCDHGC5
PCDHGC4
PCDHGB7
PCDHGB6
PCDHGB5
PCDHGB3
PCDHGB2
PCDHGB1
PCDHGA11
PCDHGA10
PCDHGA9
PCDHGA7
PCDHGA6
PCDHGA5
PCDHGA4
PCDHGA3
PCDHGA2
PCDHGA1
PCDHGB8P
PCDHB15
PCDHB14
PCDHB13
PCDHB12
PCDHB11
PCDHB10
PCDHB9
PCDHB8
PCDHB7
PCDHB6
PCDHB4
PCDHB3
PCDHB2
PCDHAC2
PCDHAC1
PCDHA13
PCDHA12
PCDHA11
PCDHA10
PCDHA8
PCDHA7
PCDHA6
PCDHA5
PCDHA4
PCDHA3
PCDHA2
PCDHA1
VTRNA1-3
VTRNA1-2
VTRNA1-1
NMUR2
FEM1C
C5orf15
CDC42SE2
TRPC7
ODZ2
ZNF608
KCTD16
SEMA6A
ARRDC3
PCDHB16
HMHB1
C5orf54
EPB41L4A
ERAP2
SIL1
ARAP3
FBXL17
YTHDC2
GRAMD3
PCYOX1L
CCNJL
SH3TC2
SAP30L
TXNDC15
MCTP1
NDFIP1
FBXO38
YIPF5
TIGD6
SPRY4
NUDT12
SLC4A9
ATG10
SLC25A2
SPATA9
TSSK1B
FAM172A
PCDHB19P
GPR98
PCBD2
ZCCHC9
PSD2
ANKRD32
C5orf32
MEGF10
SPINK7
SPZ1
HAVCR2
C5orf62
TSLP
FCHSD1
C5orf30
LYRM7
SLC25A46
CDKN2AIPNL
TIMD4
ZNF300
MYOZ3
ATP6AP1L
PRDM6
FTMT
FNIP1
SLC35A4
PWWP2A
C1QTNF2
EPB41L4A-AS1
MARCH3
LYSMD3
LEAP2
SCGB3A2
SLCO6A1
PPARGC1B
PRRC1
JMY
ZNF474
POU5F2
AFAP1L1
GRPEL2
LSM11
GPR151
STARD4
WDR36
ZNF300P1
NUDCD2
UBLCP1
ACOT12
SOWAHA
SHROOM1
C5orf24
C5orf20
SLC36A2
SPINK13
CEP120
SLC25A48
TMEM167A
MBLAC2
TMEM161B
SRFBP1
LOC153469
ZMAT2
ARSK
FAM81B
CCDC112
PPP1R2P3
FAM71B
PRELID2
SH3RF2
PLAC8L1
RNF145
PAPD4
DCP2
LIX1
FAM151B
ADAMTS19
SPATA24
DNAJC18
C5orf27
CMYA5
STK32A
AQPEP
SLC36A1
SERINC5
KIAA0825
GPR150
DTWD2
RELL2
NBPF22P
LOC285626
LOC285627
LOC285629
SLC36A3
KIF4B
RGMB
RFESD
CHSY3
TMEM173
FAM170A
LOC340073
LOC340074
ARSI
ANKRD34B
IRGM
FAM174A
MTX3
CATSPER3
NIPAL4
SLCO4C1
TICAM2
DND1
FLJ38109
C5orf48
LOC389332
C5orf65
C5orf46
ARHGEF37
C5orf63
SPINK6
ANKHD1-EIF4EBP3
MIR143
MIR145
MIR146A
MIR9-2
SPINK14
FNDC9
CRSP8P
FLJ42709
C5orf56
IGIP
TIFAB
FLJ35946
LOC553103
CTXN3
ECSCR
TMEM232
GRXCR2
SPINK9
LOC644100
FLJ33630
LOC644936
CCNI2
LINC00461
SNORA13
SCARNA18
MIR583
SNHG4
MIR143HG
LOC728342
LOC728723
LOC729080
VTRNA2-1
MIR874
LOC100129716
LOC100131067
LOC100133050
C5orf52
LOC100289230
LOC100289673
MIR1289-2
MIR1244-1
TMED7-TICAM2
MIR2277
MIR1244-3
MIR1244-2
MIR4280
MIR3142
MIR3141
MTRNR2L2
MIR3607
MIR3655
MIR3660
MIR3936
MIR3661
LOC100505658
LOC100505678
LOC100505841
LOC100505894
MIR4633
MIR4461
MIR3977
MIR4460
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 8p22.

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

Genes
hsa-mir-383
TUSC3
MIR383
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 6q16.1.

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

Genes
EPHA7
MIR4643
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 4q32.3.

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

Genes
DUX4
FBXW7
hsa-mir-1305
hsa-mir-4276
hsa-mir-548t
hsa-mir-1979
hsa-mir-3140
hsa-mir-548g
hsa-mir-3139
hsa-mir-2054
AGA
SLC25A4
ANXA2P1
CASP3
LRBA
CLGN
CLCN3
CPE
CTSO
DCTD
EDNRA
ELF2
ETFDH
F11
ACSL1
FAT1
FGA
FGB
FGG
FRG1
GAB1
GK3P
GLRB
GPM6A
GRIA2
GUCY1A3
GUCY1B3
GYPA
GYPB
GYPE
HMGB2
HPGD
HSP90AA4P
IL15
ING2
IRF2
KLKB1
SMAD1
MGST2
NR3C2
MTNR1A
NDUFC1
NEK1
NPY1R
NPY2R
NPY5R
PET112
PLRG1
POU4F2
PPID
ABCE1
RPS3A
MSMO1
SFRP2
TDO2
TLL1
TLR2
TLR3
UCP1
VEGFC
GLRA3
SMARCA5
SORBS2
SAP30
INPP4B
SNORD73A
LRAT
HAND2
RAPGEF2
MFAP3L
ANAPC10
PGRMC2
MAB21L2
PLK4
ADAM29
LSM6
ANXA10
KLHL2
SCRG1
HSPA4L
PALLD
TBC1D9
KIAA0922
TRIM2
ANP32C
SLC7A11
CCRN4L
FAM149A
FBXO8
DUX2
INTU
ARFIP1
PDLIM3
ZNF330
SPOCK3
AADAT
FAM198B
ACCN5
GALNT7
CLDN22
PCDH18
DKFZP434I0714
OTUD4
DCHS2
C4orf27
MARCH1
LARP1B
NEIL3
TMEM144
C4orf43
UFSP2
MAML3
DDX60
CDKN2AIP
ODZ3
TMEM184C
LRP2BP
PDGFC
FSTL5
STOX2
ANKRD50
RNF150
PCDH10
KIAA1430
FNIP2
SH3RF1
RXFP1
SPCS3
SCOC
TRAPPC11
HHIP
FAT4
ARHGAP10
MLF1IP
NBLA00301
MAP9
PHF17
WWC2
NAA15
C4orf29
CEP44
SETD7
SLC25A31
RAB33B
SNX25
TTC29
MND1
SLC10A7
TKTL2
USP38
C4orf49
CBR4
FHDC1
MGC45800
PRMT10
DDX60L
NAF1
WDR17
SCLT1
C4orf33
PABPC4L
ZFP42
SPATA4
ENPP6
ASB5
ZNF827
SH3D19
C4orf38
C4orf39
C4orf45
DCLK2
TRIM60
FREM3
MMAA
RBM46
C4orf46
TIGD4
TMEM154
TMEM192
RWDD4
CCDC111
TRIML2
ELMOD2
CCDC110
MFSD8
LOC285419
CYP4V2
LOC285441
LOC285501
RNF175
LOC339975
TRIML1
LOC340017
PRSS48
ANKRD37
LOC389247
TRIM61
HELT
LOC401164
FAM92A3
GUSBP5
HSP90AA6P
C4orf47
DUX4L4
GALNTL6
FRG2
LOC641364
LOC641365
SLED1
LOC646576
C4orf51
FLJ38576
DUX4L6
DUX4L5
DUX4L3
MIR578
LINC00290
LOC728175
DUX4L2
FAM160A1
LOC731424
LOC100129858
CLDN24
LOC100288255
MIR2054
MIR1305
MIR3140
MIR4276
MIR3945
MIR3688-1
LOC100505545
LOC100505989
LOC100506013
LOC100506085
LOC100506122
LOC100506229
MIR4453
MIR4799
MIR3688-2
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 17p13.2.

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

Genes
KIAA0753
FAM64A
PITPNM3
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 12q21.32.

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

Genes
MGAT4C
MIR548AL
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 4q22.1.

Table S22.  Genes in bold are cancer genes as defined by The Sanger Institute: Cancer Gene Census[7].

Genes
MMRN1
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for Xp21.1.

Table S23.  Genes in bold are cancer genes as defined by The Sanger Institute: Cancer Gene Census[7].

Genes
hsa-mir-548f-5
DMD
FTHL17
FAM47A
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 9q21.12.

Table S24.  Genes in bold are cancer genes as defined by The Sanger Institute: Cancer Gene Census[7].

Genes
FANCC
GNAQ
OMD
SYK
XPA
NR4A3
hsa-mir-1302-8
hsa-mir-24-1
hsa-mir-2278
hsa-let-7d
hsa-mir-4291
hsa-mir-4290
hsa-mir-3153
hsa-mir-4289
hsa-mir-7-1
hsa-mir-204
hsa-mir-1299
ALDH1A1
ALDOB
ANXA1
APBA1
AUH
BAAT
KLF9
CKS2
COL15A1
CTSL1
CTSL2
CTSL1P8
CYLC2
DAPK1
ECM2
S1PR3
FBP1
FOXE1
FXN
GAS1
GCNT1
HNRNPK
HSD17B3
IARS
NCBP1
NFIL3
NINJ1
NTRK2
ROR2
OGN
PCSK5
PGM5
PHF2
PPP3R2
PRKACG
PTCH1
RORB
TGFBR1
TLE1
TLE4
TMOD1
CORO2A
ZNF189
ZFAND5
PIP5K1B
CDC14B
TMEFF1
FBP2
FAM189A2
TJP2
GABBR2
GDA
GNA14
TRIM14
SEMA4D
ANP32B
SPTLC1
SMC2
GADD45G
SPIN1
SEC61B
SLC35D2
ZNF510
HABP4
ERP44
SMC5
FAM120A
VPS13A
AGTPBP1
BICD2
TDRD7
CDK20
TMEM2
ZNF658
FAM75A7
OSTF1
INVS
PSAT1
UBQLN1
PCA3
FAM108B1
GOLM1
C9orf156
SHC3
NANS
MRPL50
FAM22F
DIRAS2
ASPN
TEX10
LPPR1
C9orf95
STX17
NOL8
C9orf40
RFK
TBC1D2
HEMGN
KIF27
BARX1
RNF20
BDAG1
NAA35
SLC28A3
IPPK
WNK2
SECISBP2
ZCCHC6
GALNT12
CNTNAP3
RMI1
TRPM3
GKAP1
ISCA1
ZNF484
CEP78
ANKRD20A1
C9orf64
C9orf89
HIATL2
C9orf125
HIATL1
C9orf3
ALG2
FGD3
C9orf30
FAM122A
GRIN3A
TMC1
C9orf41
C9orf57
C9orf85
C9orf135
PTPDC1
ANKRD19P
TRPM6
NXNL2
RASEF
FAM201A
LOC158257
FAM120AOS
LINC00475
TSTD2
ZNF782
LOC158434
LOC158435
PRUNE2
C9orf71
ZNF169
C9orf21
ZNF367
ANKS6
SUSD3
CBWD5
MAMDC2
FRMD3
C9orf47
C9orf79
LOC286238
LOC286297
LOC286359
LOC286370
FOXD4L3
LOC340508
LOC340515
FAM75D5
MURC
FOXD4L4
AQP7P1
PTAR1
C9orf102
KGFLP1
FAM75A6
MGC21881
FAM75D4
FAM75D3
FAM75D1
LOC389765
C9orf153
CTSL3
LOC392364
FAM74A1
FAM74A4
ZNF658B
C9orf170
CENPP
MIRLET7A1
MIRLET7D
MIRLET7F1
MIR204
MIR23B
MIR24-1
MIR27B
MIR7-1
C9orf103
LOC440173
LOC440896
ANKRD20A3
ANKRD20A2
AQP7P3
FAM75C1
LOC441454
LOC441455
FAM22G
LOC441461
LOC442421
FOXB2
CBWD3
C9orf129
LOC494127
LOC494558
FAM27A
LOC572558
PGM5P2
LOC642236
FAM75A2
FAM75A4
LOC642929
LOC643648
CBWD6
FAM75C2
FAM75A1
FAM74A2
RPSAP9
FOXD4L6
FOXD4L5
LOC653501
KGFLP2
FAM75A3
FAM75A5
FAM74A3
CNTNAP3B
ANKRD20A4
FOXD4L2
SNORA84
LOC100128076
LOC100128361
LINC00476
UNQ6494
LOC100129316
LOC100132077
LOC100132352
LOC100132781
FAM27C
FAM95B1
FAM27B
LOC100133920
LINC00092
LOC100286938
MIR548H3
MIR2278
MIR3074
MIR4291
MIR3153
MIR4290
MIR4289
C9orf174
LOC100499484
MIR3910-1
MIR3910-2
MIR3651
LOC100507244
LOC100507299
LOC100507346
C9orf30-TMEFF1
MIR4670
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 1p36.32.

Table S25.  Genes in bold are cancer genes as defined by The Sanger Institute: Cancer Gene Census[7].

Genes
CDKN2C
EPS15
JAK1
JUN
LCK
MPL
MUTYH
MYCL1
PAX7
RPL22
SDHB
SFPQ
TAL1
ARID1A
TNFRSF14
BCL10
THRAP3
PRDM16
MDS2
hsa-mir-553
hsa-mir-137
hsa-mir-760
hsa-mir-186
hsa-mir-1262
hsa-mir-3117
hsa-mir-101-1
hsa-mir-3116-2
hsa-mir-761
hsa-mir-30c-1
hsa-mir-4255
hsa-mir-552
hsa-mir-4254
hsa-mir-1976
hsa-mir-3115
hsa-mir-4253
hsa-mir-1256
hsa-mir-1290
hsa-mir-1273d
hsa-mir-34a
hsa-mir-4252
hsa-mir-551a
hsa-mir-4251
hsa-mir-429
hsa-mir-1302-2
ABCA4
ACADM
AGL
AK2
AK4
ALPL
RERE
ATP6V0B
BAI2
BMP8B
BRDT
C1QA
C1QB
C1QC
C8A
C8B
CA6
CAPZB
CASP9
RUNX3
TNFRSF8
CDA
CDK11B
CDC20
CDC42
CD52
RCC1
CLCA1
CLCN6
CLCNKA
CLCNKB
PLK3
CNN3
CNR2
COL8A2
COL9A2
COL11A1
COL16A1
CORT
CPT2
CRYZ
CSF3R
CTBS
CTH
CTPS
CYP2J2
CYP4A11
CYP4B1
DAB1
DBT
GADD45A
DDOST
DFFA
DFFB
DHCR24
DIO1
DPH2
DPYD
DR1
DVL1
E2F2
ECE1
S1PR1
EDN2
PHC2
MEGF6
EPHA2
ELAVL4
ENO1
EPB41
EPHA8
EPHB2
EXTL1
EXTL2
EYA3
F3
FAAH
FABP3
FGR
FHL3
FOXE3
FOXD2
MTOR
FUCA1
IFI6
GABRD
GALE
GBP1
GBP2
GBP3
GFI1
GJA4
GJB3
GJB5
GCLM
GNB1
GNG5
SFN
GPR3
GPX7
GRIK3
GTF2B
GUCA2A
GUCA2B
HCRTR1
HDAC1
ZBTB48
HMGN2
HMGCL
HPCA
HSPG2
HTR1D
HTR6
ID3
CYR61
IL12RB2
TNFRSF9
INPP5B
IPP
STMN1
LEPR
TACSTD2
MAGOH
MATN1
MFAP2
MSH4
MTF1
MTHFR
NASP
NBL1
NDUFS5
NFIA
NFYC
NPPA
NPPB
NRD1
YBX1
ROR1
OPRD1
ORC1
PAFAH2
PRDX1
PDE4B
PEX10
PEX14
PGD
PGM1
PIK3CD
PIN1P1
PLA2G2A
PLA2G5
PLOD1
EXOSC10
POU3F1
PPP1R8
PPT1
PRKAA2
PRKACB
PKN2
PRKCZ
PSMB2
PTAFR
PTGER3
PTGFR
PTPRF
ABCD3
RAB3B
RABGGTB
RAP1GAP
RBBP4
RHCE
RHD
RLF
SNORD21
RPA2
RPE65
RPL5
RPL11
RPS6KA1
RPS8
RSC1A1
SCNN1D
SCP2
SRSF4
ST3GAL3
STIL
SKI
SLC1A7
SLC2A1
SLC2A5
SLC6A9
SLC9A1
SRM
TAF12
TCEA3
TCEB3
TGFBR3
TIE1
TNFRSF1B
TP73
TTC4
TNFRSF4
UQCRH
UROD
USP1
VCAM1
ZSCAN20
ZBTB17
SLC30A2
LUZP1
PRDM2
DNALI1
LRP8
LAPTM5
BSND
EVI5
PTP4A2
CDC7
BCAR3
SNHG3
NR0B2
RAD54L
PIK3R3
MMP23B
MMP23A
KCNAB2
LMO4
FCN3
CDC14A
YARS
MKNK1
AKR7A2
PPAP2B
RTCD1
PTCH2
ALDH4A1
EIF3I
EIF4G3
B4GALT2
TNFRSF25
PABPC4
TNFRSF18
FPGT
PER3
FUBP1
EIF2B3
ARTN
MAP3K6
DIRAS3
KCNQ4
ZMYM4
ZMYM6
DHRS3
SRSF11
VAMP3
ZFYVE9
SEP15
ZRANB2
SNRNP40
ARHGAP29
C1orf38
TMEM59
H6PD
CLCA3P
CLCA2
ISG15
PLCH2
HS2ST1
IPO13
SDC3
KDM4A
CROCC
PUM1
CEP104
RIMS3
KIAA0494
DNAJC6
LPPR4
KLHL21
SLC35E2
ZBTB40
MFN2
INSL5
PIGK
PTPRU
TSPAN1
CELA3A
PDZK1IP1
WASF2
INADL
ANGPTL7
HNRNPR
SRRM1
CNKSR1
ZMPSTE24
UBE4B
AKR1A1
TESK2
PPIE
MAD2L2
PPIH
CAP1
LRRC41
IFI44
PDPN
KHDRBS1
GMEB1
NUDC
MASP2
SRSF10
UTS2
SF3A3
IFI44L
EBNA1BP2
KIF2C
RER1
DNAJB4
RCAN3
FAF1
GLMN
HHLA3
MST1P2
MST1P9
PADI2
LYPLA2
PARK7
CTRC
ACOT7
CLCA4
MTF2
DNAJC8
CLSTN1
FOXJ3
SCMH1
AKR7A3
TTC39A
SPEN
KDM1A
USP33
WDTC1
KIAA0090
KIF1B
MAST2
NCDN
SLC35D1
PLEKHM2
OTUD3
KAZN
CAMTA1
LPHN2
KIAA1107
ZCCHC11
SZT2
DNAJC16
UBR4
USP24
ATP13A2
ITGB3BP
TARDBP
CELA3B
SLC35A3
ICMT
MACF1
LRRC8B
LPAR3
PADI4
DDAH1
TMEM50A
KPNA6
SSBP3
STX12
CLIC4
SYF2
RWDD3
PARS2
MMACHC
ZZZ3
ACOT11
CHD5
C1orf144
LDLRAP1
SERBP1
NOC2L
FBXO2
FBXO6
PLA2G2D
AK5
MYCBP
HEYL
EIF2C1
OR4F3
SNORA66
SNORD45B
SNORD45A
SNORD55
RNU11
RNF11
FOXD3
TRAPPC3
HSPB7
ARHGEF16
AHDC1
TEKT2
SMPDL3B
ANGPTL3
PRO0611
LINC00339
SSU72
GNL2
UBIAD1
ALG6
PADI1
PLA2G2E
DNTTIP2
WRAP73
SLC45A1
HP1BP3
TMED5
CELA2B
ZNF593
ZNF691
TXNDC12
TNNI3K
SH3GLB1
MECR
UTP11L
SDF4
MRTO4
TMEM69
MRPL37
HOOK1
SNX7
HPCAL4
YTHDF2
ZCCHC17
DPH5
HSPB11
PADI3
CMPK1
GPR88
ERRFI1
WNT4
YIPF1
FBXO42
CCDC76
RNF186
SPATA6
MXRA8
L1TD1
HES2
ZNHIT6
GPN2
LEPROT
FBLIM1
MED18
TRIT1
GIPC2
PALMD
FNBP1L
PQLC2
CASZ1
RHBDL2
ADPRHL2
TRNAU1AP
C1orf109
CPSF3L
C1orf123
C1orf159
AURKAIP1
TTC22
MRPL20
AIM1L
TMEM51
BSDC1
XKR8
TMEM39B
CDCA8
LRRC8D
ARHGEF10L
RNF220
VPS13D
FAM176B
ATAD3A
TMEM57
TRIM62
RAVER2
PANK4
ECHDC2
FGGY
MCOLN3
CAMK2N1
ASAP3
POMGNT1
PNRC2
LRRC40
DEPDC1
PIGV
NBPF1
MAP7D1
TMEM48
NECAP2
IQCC
DNAJC11
RCC2
DMAP1
AJAP1
GNG12
TMEM234
FAM54B
CCBL2
CTNNBIP1
C1orf63
AGTRAP
PITHD1
MAN1C1
NIPAL3
SEPN1
TP73-AS1
PLEKHG5
LRRC47
ODF2L
PTCHD2
LRRC7
KIF17
ZSWIM5
KIAA1522
CACHD1
MIER1
HES4
GRHL3
PTBP2
DNASE2B
DLGAP3
IL22RA1
HIVEP3
GPBP1L1
MIIP
CELA2A
GPATCH3
DMRTB1
DMRTA2
CLSPN
OXCT2
RRAGC
ELTD1
TINAGL1
LEPRE1
PLA2G2F
HIAT1
SMAP2
ATPAF1
S100PBP
MEAF6
DEM1
CEP85
NMNAT1
ELOVL1
VWA1
MRPS15
PINK1
MARCKSL1
PRAMEF1
PRAMEF2
NADK
ZNF643
SELRC1
PHACTR4
C1orf135
ERI3
C1orf50
CCDC28B
EFHD2
MMEL1
RSG1
DLEU2L
OR4F5
NKAIN1
MUL1
TMEM53
AKIRIN1
HECTD3
BEND5
YRDC
ZYG11B
NOL9
PPCS
LIN28A
SH3D21
TTLL7
SNIP1
AGMAT
WDR78
ZMYM1
LINC00115
RPAP2
MORN1
FAM110D
KIAA0319L
DHDDS
WLS
GPR157
RPF1
ZC3H12A
SPSB1
GLTPD1
ZNF436
TAS1R2
TAS1R1
GJA9
OR4F16
SYNC
ACTL8
ANKRD13C
TSSK3
CCNL2
ST6GALNAC5
HYI
SH3BGRL3
SESN2
ESPN
TAS1R3
ATAD3B
STK40
TM2D1
TMEM222
PLEKHN1
SYDE2
ZNF644
USP48
ZMYND12
NBPF3
LRRC8C
ZDHHC18
SGIP1
SLC25A33
DDI2
LZIC
EFCAB7
NT5C1A
TRIM63
FAM167B
MGC12982
C1orf170
CROCCP2
HPDL
AGBL4
MFSD2A
ATG4C
PRPF38A
SYTL1
IGSF21
LSM10
C1orf94
SNHG12
DOCK7
KIAA1751
KIAA2013
THAP3
C1orf201
SPOCD1
BTF3L4
UBXN11
NEXN
C1orf158
FBXO44
ATPIF1
SNORD46
SNORD38A
SNORD38B
DNAJA1P5
MED8
KTI12
C1orf212
ADC
TMEM54
TOE1
ERMAP
CSMD2
MYSM1
CROCCP3
FHAD1
OSBPL9
LOC115110
OMA1
RAB42
LRRC42
GBP4
GBP5
FAM46B
RBP7
ACAP3
SSX2IP
UBE2J2
OLFM3
CCDC163P
C1orf172
LRRC38
AADACL3
PUSL1
B3GALT6
WDR63
IFFO2
SLC44A3
ASB17
TYW3
C1orf173
LRRIQ3
TPRG1L
FAM213B
MYOM3
DMBX1
TMCO2
ZNF684
TCEANC2
PODN
LRRC39
GJB4
HMGB4
RNF19B
C1orf122
OSCP1
C1orf216
KLHDC7A
VWA5B1
UBXN10
C1orf87
KLF17
TMEM125
ARHGEF19
ACTRT2
MIB2
C1orf127
SAMD11
LOC148413
SAMD13
C1orf52
PHF13
TMEM56
UBE2U
SLC30A7
CCDC27
C1orf213
KNCN
MOB3C
GLIS1
MGC27382
DCDC2B
ZNF362
LOC149086
MANEAL
IL23R
PDIK1L
CLDN19
WDR65
C1orf210
CCDC24
BTBD19
CCDC17
C1orf64
SLC2A7
GBP6
LPPR5
CALML6
IL28RA
CYP4Z2P
CITED4
FLJ40434
C1orf177
KANK4
SASS6
FAM43B
HFM1
PAQR7
EIF2C3
EIF2C4
ALG14
FAM76A
LINC00466
C1orf168
TMEM201
TMEM61
CYP4Z1
C1orf86
CDCP2
SLC5A9
CC2D1B
TXLNA
TCTEX1D1
SLFNL1
C1orf126
SLC44A5
ATAD3C
AKR7L
FNDC5
EPHX4
LOC254099
TTLL10
TMCO4
MCOLN2
COL24A1
PCSK9
ST6GALNAC3
ZNF683
NEGR1
CYP4X1
NPHP4
BEST4
CYP4A22
C1orf185
LOC284551
FAM41C
LOC284632
RSPO1
EPHA10
LOC284661
ZNF326
BTBD8
RIMKLA
SLC25A34
ESPNP
FAM151A
LOC339442
C1orf174
KLHL17
TMEM240
TMEM52
MTMR9LP
ZBTB8OS
TFAP2E
LOC339505
LOC339524
C1orf228
ZNF642
AADACL4
PRAMEF5
HNRNPCL1
PRAMEF9
PRAMEF10
CCDC18
BARHL2
HSP90B3P
TCTEX1D4
SERINC2
FAM159A
FAM131C
PADI6
BMP8A
C1orf187
SPATA21
CCDC23
ATPAF1-AS1
HEATR8
FAM73A
AGRN
APITD1
CATSPER4
NSUN4
GPR153
FAM132A
HES5
LOC388588
RNF207
TMEM82
TRNP1
CD164L2
LOC388630
LDLRAD1
GBP7
C1orf146
FAM69A
HES3
PRAMEF12
PRAMEF21
PRAMEF8
PRAMEF18
PRAMEF17
PLA2G2C
SKINTL
UOX
FRRS1
TMEM200B
PRAMEF4
PRAMEF13
SH2D5
C1orf130
LOC400752
C1orf141
GBP1P1
FLJ27354
MIR137HG
RNF223
PRAMEF3
LDLRAD2
LOC402779
MIR101-1
MIR137
MIR186
MIR200A
MIR200B
MIR30C1
MIR30E
MIR34A
LHX8
C1orf180
FLJ42875
PRAMEF11
PRAMEF6
LOC440563
UQCRHL
MINOS1
FLJ32224
FAM183A
ZYG11A
FLJ31662
ANKRD65
PRAMEF7
GEMIN8P4
RBMXL1
LURAP1
PEF1
MIR429
CYB5RL
FAM138F
KIAA0754
LOC643837
TMEM88B
C1orf233
LOC644961
C1orf200
PRAMEF19
PRAMEF20
FAM138A
LOC646471
LOC646626
LOC649330
ZBTB8A
LOC653160
LOC653566
PRAMEF22
PRAMEF15
WASH7P
PRAMEF16
SCARNA1
SNORA44
SNORA55
SNORA61
SNORA59B
SNORA59A
SNORA16A
SNORD45C
SNORD85
SNORD99
SNORD103A
SNORD103B
MIR548D1
MIR551A
MIR553
ZBTB8B
LOC728431
PPIEL
CCDC30
CDK11A
SLC35E2B
LOC728716
RPS15AP10
LOC729041
LOC729059
HSD52
PRAMEF14
FLJ37453
LOC729737
OR4F29
LOC729970
LOC729987
MIR760
LOC100128071
LOC100128787
LOC100129046
LOC100129196
LOC100129534
LOC100129620
LOC100129924
LOC100130197
LOC100130417
LOC100130557
LOC100131060
LOC100131564
LOC100132062
LOC100132287
ZRANB2-AS1
LOC100132774
LOC100133331
LOC100133445
LOC100133612
DDX11L1
TTC34
LOC100288069
LOC100289178
MIR1976
MIR1262
MIR761
NPPA-AS1
MIR3115
MIR3117
MIR4255
MIR4253
MIR4251
MIR4252
MIR4254
MIR3659
MIR3917
MIR3605
MIR3671
MIR548AA1
MIR3675
LOC100505768
ENO1-AS1
ZMYM6NB
LOC100506730
LOC100506801
LOC100506963
LOC100507178
LOC100507423
LOC100507564
LOC100507634
APITD1-CORT
FPGT-TNNI3K
GJA9-MYCBP
HEATR8-TTC4
TMEM56-RWDD3
C1orf151-NBL1
MIR4695
MIR4420
MIR4422
MIR4781
MIR4794
MIR4684
MIR4711
MIR4689
MIR4632
MIR2682
MIR4423
MIR4417
MIR378F
RCAN3AS
NEGR1-IT1
ZRANB2-AS2
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 1q44.

Table S26.  Genes in bold are cancer genes as defined by The Sanger Institute: Cancer Gene Census[7].

Genes
ABL2
ARNT
BCL9
CDKN2C
ELK4
EPS15
FCGR2B
FH
JAK1
JUN
LCK
MDM4
MPL
MUC1
MUTYH
MYCL1
NOTCH2
NRAS
NTRK1
PAX7
PBX1
PRCC
RPL22
SDHB
SDHC
SFPQ
TAL1
TPM3
TPR
ARID1A
TNFRSF14
BCL10
PDE4DIP
THRAP3
TRIM33
PRDM16
RBM15
SLC45A3
MDS2
hsa-mir-3124
hsa-mir-3123
hsa-mir-1537
hsa-mir-1182
hsa-mir-320b-2
hsa-mir-664
hsa-mir-194-1
hsa-mir-3122
hsa-mir-4260
hsa-mir-205
hsa-mir-29b-2
hsa-mir-135b
hsa-mir-1231
hsa-mir-181a-1
hsa-mir-1278
hsa-mir-3121
hsa-mir-488
hsa-mir-199a-2
hsa-mir-1295
hsa-mir-3119-2
hsa-mir-557
hsa-mir-1255b-2
hsa-mir-921
hsa-mir-556
hsa-mir-4259
hsa-mir-765
hsa-mir-9-1
hsa-mir-555
hsa-mir-92b
hsa-mir-4258
hsa-mir-190b
hsa-mir-554
hsa-mir-4257
hsa-mir-3118-3
hsa-mir-3118-2
hsa-mir-3118-1
hsa-mir-942
hsa-mir-320b-1
hsa-mir-4256
hsa-mir-197
hsa-mir-553
hsa-mir-137
hsa-mir-760
hsa-mir-186
hsa-mir-1262
hsa-mir-3117
hsa-mir-101-1
hsa-mir-3116-2
hsa-mir-761
hsa-mir-30c-1
hsa-mir-4255
hsa-mir-552
hsa-mir-4254
hsa-mir-1976
hsa-mir-3115
hsa-mir-4253
hsa-mir-1256
hsa-mir-1290
hsa-mir-1273d
hsa-mir-34a
hsa-mir-4252
hsa-mir-551a
hsa-mir-4251
hsa-mir-429
hsa-mir-1302-2
ABCA4
ACADM
ACTA1
ACTN2
ADAR
ADORA1
ADORA3
PARP1
ADSS
AGL
AGT
AK2
AK4
ALDH9A1
ALPL
ALX3
AMPD1
AMPD2
AMY1A
AMY1B
AMY1C
AMY2A
AMY2B
APCS
APOA2
FASLG
ARF1
RHOC
ASTN1
SERPINC1
ATF3
RERE
ATP1A1
ATP1A2
ATP1A4
ATP1B1
ATP2B4
ATP5F1
ATP6V0B
AVPR1B
BAI2
BGLAP
BMP8B
BRDT
C1QA
C1QB
C1QC
C4BPA
C4BPB
C8A
C8B
CA6
CACNA1E
CACNA1S
CAPN2
CAPZA1
CAPZB
CASP9
CASQ1
CASQ2
RUNX3
CD1A
CD1B
CD1C
CD1D
CD1E
CD2
CD247
CD5L
TNFRSF8
CD34
CD48
CD53
CD58
CDA
CDK11B
CDC20
CDC42
CD52
CENPF
RCC1
CHI3L1
CHI3L2
CHIT1
CHML
LYST
CHRM3
CHRNB2
CKS1B
CLCA1
CLCN6
CLCNKA
CLCNKB
CLK2
PLK3
CNN3
CNR2
COL8A2
COL9A2
COL11A1
COL16A1
COPA
CORT
CPT2
CR1
CR1L
CR2
CRABP2
CRP
CRYZ
CSF1
CSF3R
CSRP1
CTBS
CTH
CTPS
CTSE
CTSK
CTSS
CYP2J2
CYP4A11
CYP4B1
DAB1
CD55
DBT
GADD45A
DDOST
DHX9
DFFA
DFFB
DHCR24
DIO1
DPH2
DPT
DPYD
DR1
DVL1
E2F2
ECE1
ECM1
S1PR1
EDN2
PHC2
EIF2D
EFNA1
EFNA3
EFNA4
CELSR2
MEGF6
EPHA2
ELAVL4
ELF3
ENO1
ENSA
EPB41
EPHA8
EPHB2
EPHX1
EPRS
ESRRG
ETV3
EXTL1
EXTL2
EYA3
F3
F5
F13B
FAAH
FABP3
FCER1A
FCER1G
FCGR1A
FCGR1B
FCGR2A
FCGR3A
FCGR3B
FDPS
FGR
FHL3
FOXE3
FOXD2
FLG
FMO1
FMO2
FMO3
FMO4
FMO5
FMOD
MTOR
NR5A2
FUCA1
DARC
IFI6
GABRD
GALE
GALNT2
GBA
GBAP1
GBP1
GBP2
GBP3
GFI1
GJA4
GJA5
GJA8
GJB3
GJB5
GCLM
GLUL
GNAI3
GNAT2
GNB1
GNG4
GNG5
SFN
GPR3
GPR25
GPX7
GRIK3
GSTM1
GSTM2
GSTM3
GSTM4
GSTM5
GTF2B
GUCA2A
GUCA2B
GUK1
H3F3A
HCRTR1
HDAC1
HDGF
CFH
CFHR1
CFHR2
ZBTB48
MR1
HLX
HMGN2
HMGCL
HMGCS2
HNRNPU
HPCA
HSD3B1
HSD3B2
HSD11B1
HSPA6
HSPA7
IGSF3
HSPG2
HTR1D
HTR6
ID3
IFI16
CYR61
IL6R
IL10
IL12RB2
TNFRSF9
ILF2
INPP5B
INSRR
IPP
IRF6
ITPKB
IVL
KCNA2
KCNA3
KCNA10
KCNC4
KCND3
KCNH1
KCNJ9
KCNJ10
KCNK1
KCNK2
KCNN3
KISS1
LAD1
LAMB3
LAMC1
LAMC2
STMN1
LBR
LEPR
LGALS8
LMNA
LMX1A
LOR
LY9
TACSTD2
MAGOH
MARK1
MATN1
MCL1
CD46
SMCP
MEF2D
MFAP2
MGST3
MNDA
MOV10
MPZ
MSH4
MTF1
MTHFR
MTR
MTX1
MYBPH
MYOC
MYOG
PPP1R12B
NASP
NBL1
NCF2
NDUFS2
NDUFS5
NEK2
NFIA
NFYC
NGF
NHLH1
NHLH2
NID1
NIT1
NPPA
NPPB
NPR1
NRD1
YBX1
ROR1
DDR2
NVL
OPRD1
ORC1
OVGP1
PAFAH2
PRDX1
CDK18
PDC
PDE4B
PDZK1
PEX10
PEX14
PFDN2
PFKFB2
PGD
PGM1
PIGC
PIGR
PIK3C2B
PIK3CD
PI4KB
PIN1P1
PKLR
PKP1
PLA2G2A
PLA2G4A
PLA2G5
PLOD1
PLXNA2
EXOSC10
PRRX1
POU2F1
POU3F1
PPOX
PPP1R8
PPP2R5A
PPT1
PRELP
PRKAA2
PRKAB2
PRKACB
PKN2
PRKCZ
PROX1
PSEN2
PSMA5
PSMB2
PSMB4
PSMD4
PTAFR
PTGER3
PTGFR
PTGFRN
PTGS2
QSOX1
PTPN7
PTPN14
PTPRC
PTPRF
PEX19
ABCD3
RAB3B
RAB4A
RAB13
RABGGTB
RABIF
RAP1A
RAP1GAP
RBBP4
RBBP5
REN
RFX5
RGS1
RGS2
RGS4
RGS7
RGS13
RGS16
RHCE
RHD
RIT1
RLF
RNASEL
RNF2
RNPEP
SNORD21
RORC
RPA2
RPE65
RPL5
RPL11
RPS6KA1
RPS8
RPS27
RSC1A1
RXRG
RYR2
S100A1
SORT1
S100A2
S100A3
S100A4
S100A5
S100A6
S100A7
S100A8
S100A9
S100A10
S100A11
S100A12
S100A13
SARS
SCNN1D
SCP2
XCL1
SELE
SELL
SELP
SRSF4
SHC1
ST3GAL3
STIL
SKI
SLAMF1
SLC1A7
SLC2A1
SLC2A5
SLC6A9
SLC9A1
SLC16A1
SNRPE
SOAT1
UAP1
SPRR1A
SPRR1B
SPRR2A
SPRR2B
SPRR2C
SPRR2D
SPRR2E
SPRR2F
SPRR2G
SPRR3
SPTA1
SRM
SRP9
TROVE2
SSR2
AURKAPS1
STXBP3
XCL2
SYCP1
TAF12
TAF13
TARBP1
CNTN2
TBCE
TBX15
TCEA3
TCEB3
VPS72
TGFB2
LEFTY2
TGFBR3
THBS3
TCHH
TIE1
TLR5
GPR137B
TNFRSF1B
TNNI1
TNNT2
TNR
TOP1P1
TP53BP2
TP73
TRAF5
CCT3
TSHB
TSNAX
TTC4
TUFT1
TNFSF4
TNFRSF4
UCK2
UQCRH
UROD
USF1
USP1
USH2A
VCAM1
WNT2B
WNT9A
ZSCAN20
ZNF124
ZBTB17
SLC30A1
SLC30A2
LUZP1
PRDM2
DNALI1
LRP8
LAPTM5
BSND
CSDE1
EVI5
DAP3
NPHS2
BTG2
PTP4A2
HIST3H3
CDC7
HIST2H2AA3
HIST2H2AC
HIST2H2BE
HIST2H4A
PIP5K1A
TAGLN2
BCAR3
ANXA9
SNHG3
NR0B2
RAD54L
GNPAT
DYRK3
TTF2
CDC42BPA
RGS5
PPFIA4
PIK3R3
MMP23B
MMP23A
KCNAB2
ITGA10
LMO4
FCN3
BLZF1
CDC14A
DEGS1
KMO
YARS
MKNK1
AKR7A2
PPAP2B
RTCD1
PTCH2
ALDH4A1
EIF3I
EIF4G3
VAMP4
PEA15
B4GALT3
B4GALT2
B3GALT2
TNFRSF25
ADAM15
PABPC4
TNFRSF18
FPGT
PEX11B
CREG1
CD84
PER3
FUBP1
EIF2B3
RAB7L1
SELENBP1
TNFSF18
TAF1A
MPZL1
SH2D2A
ARTN
MAP3K6
ANGPTL1
DIRAS3
TBX19
FCGR2C
SLC16A4
PRPF3
KCNQ4
EXO1
ARHGEF2
DEDD
ZMYM4
ZMYM6
XPR1
FAIM3
DHRS3
MAPKAPK2
GPR37L1
GPR52
SRSF11
VAMP3
ZFYVE9
CD101
SEP15
ZRANB2
SNRNP40
ARHGAP29
AIM2
GGPS1
RASAL2
C1orf38
ADAMTS4
TMEM59
SEC22B
CHD1L
H6PD
SOX13
PRDX6
CLCA3P
CLCA2
ISG15
IKBKE
PLCH2
HS2ST1
IPO13
SDC3
SLC25A44
KIAA0040
KDM4A
CROCC
PUM1
NOS1AP
TMEM63A
CEP104
RIMS3
TOMM20
KIAA0494
URB2
ARHGEF11
DNAJC6
CEP350
CEP170
LRIG2
SETDB1
ZC3H11A
SMG7
LPPR4
UBAP2L
SV2A
KLHL21
SLC35E2
DENND4B
RABGAP1L
TMCC2
FAM20B
ZBTB40
LPGAT1
MFN2
KIF14
RBM8A
NR1I3
AKT3
INSL5
PIGK
SCAMP3
PTPRU
ARPC5
TSPAN2
TSPAN1
CELA3A
PDZK1IP1
WASF2
INADL
PRG4
ANGPTL7
GPA33
STX6
HNRNPR
SRRM1
CNKSR1
SF3B4
ZMPSTE24
UBE4B
BCAS2
AKR1A1
WARS2
BPNT1
CEPT1
PIAS3
TESK2
TIMM17A
LRRN2
PPIE
VAV3
HAX1
MAD2L2
PPIH
ZNF238
C1orf61
CAP1
LRRC41
SEMA6C
HBXIP
SLC19A2
IFI44
POLR3C
IVNS1ABP
TXNIP
PDPN
LEFTY1
SPHAR
PMVK
KHDRBS1
GMEB1
FAM189B
AP4B1
NUDC
PHTF1
MASP2
CAPN9
NES
KDM5B
AHCYL1
SRSF10
SDCCAG8
CFHR4
CFHR3
WDR3
OCLM
JTB
MTMR11
MAN1A2
UTS2
SF3A3
MLLT11
IFI44L
EBNA1BP2
SLC27A3
KIF2C
IL24
TDRKH
RER1
DNAJB4
ADAM30
RCAN3
FAF1
CD160
GLMN
HHLA3
CELF3
MST1P2
DDX20
DUSP10
MST1P9
PADI2
PMF1
DUSP12
VPS45
LYPLA2
PARK7
CTRC
ACOT7
COG2
CLCA4
MTF2
DNAJC8
NTNG1
PLEKHA6
CLSTN1
FOXJ3
KIAA0907
WDR47
KIFAP3
ATF6
SCMH1
AKR7A3
TTC39A
SPEN
KDM1A
RBM34
USP33
WDTC1
KIF21B
NMNAT2
KIAA0090
KIF1B
NFASC
POGZ
GLT25D2
MAST2
NCDN
CLCC1
SLC35D1
RGL1
PLEKHM2
SYT11
PRRC2C
FBXO28
RPRD2
OTUD3
KAZN
CAMTA1
LPHN2
CAMSAP2
KIAA1107
ZCCHC11
SZT2
DNAJC16
UBR4
USP24
SRGAP2
SMG5
NCSTN
ATP13A2
CRB1
ITGB3BP
GPR161
TARDBP
CELA3B
SLC35A3
ABCB10
ICMT
MACF1
LRRC8B
ZNF281
SNAPIN
LPAR3
PADI4
DDAH1
TMEM50A
OPN3
PHLDA3
RUSC1
CA14
KPNA6
SSBP3
STX12
DSTYK
RAB3GAP2
CCDC19
LMOD1
NBPF14
BRP44
TRIM58
INTS7
OLFML2B
AHCTF1
C1orf43
CLIC4
NSL1
SYF2
RWDD3
PARS2
MMACHC
ZZZ3
ACOT11
CHD5
DNM3
TOR1AIP1
CHTOP
C1orf144
LDLRAP1
SERBP1
NOC2L
OR1C1
PTPN22
PHGDH
FBXO2
LCE2B
OR2M4
OR2L2
OR2L1P
OPTC
FBXO6
PLA2G2D
AK5
MYCBP
OR10J1
HEYL
EIF2C1
OR4F3
OR2T1
RPS6KC1
SNORD81
SNORD79
SNORD80
SNORA66
SNORD47
SNORD45B
SNORD45A
SNORD44
SNORD55
RNU11
RNU5F-1
RNF11
USP21
FOXD3
DIEXF
TRAPPC3
TAF5L
CACYBP
HSPB7
CHIA
SLC39A1
DISC2
DISC1
ARHGEF16
AHDC1
RNF115
KLHL20
TEKT2
SMPDL3B
ANGPTL3
LAMTOR2
FLVCR1
PRO0611
UBE2T
LINC00339
CNIH4
SSU72
TMOD4
GNL2
GPSM2
UBIAD1
PYCR2
NME7
ALG6
NENF
PADI1
IL19
CERS2
SLC25A24
PLA2G2E
DNTTIP2
WRAP73
CRNN
G0S2
IL20
SLC45A1
DCAF8
HP1BP3
F11R
TMED5
RRP15
GLRX2
BOLA1
PPPDE1
CELA2B
ZNF593
ZBTB7B
ZNF691
TXNDC12
TNNI3K
RRNAD1
ADIPOR1
SCCPDH
SH3GLB1
MECR
APH1A
UTP11L
TRIM17
KCTD3
SDF4
MRTO4
PLEKHO1
HAO2
ACP6
TMEM69
MRPL37
IER5
HOOK1
SNX7
UCHL5
C1orf9
HPCAL4
YTHDF2
GPR89B
HSD17B7
UFC1
DTL
ZCCHC17
METTL13
DPH5
HSPB11
OAZ3
PADI3
CYB5R1
CMPK1
ARID4B
CD244
GPR88
ERRFI1
DPM3
WNT4
YIPF1
FBXO42
MRPS21
CCDC76
TMCO1
ADAMTSL4
CRCT1
RNF186
SPATA6
EGLN1
MXRA8
L1TD1
HES2
KIAA1383
RSBN1
ZNHIT6
GPN2
LEPROT
FBLIM1
MED18
TRIT1
GIPC2
SWT1
GDAP2
FAM46C
GON4L
GPATCH4
PALMD
FNBP1L
ST7L
PQLC2
CASZ1
LAX1
RHBDL2
DUSP23
ADPRHL2
TRNAU1AP
C1orf27
C1orf109
C1orf56
CPSF3L
C1orf123
C1orf159
MARC2
AURKAIP1
TTC22
MRPL20
AIM1L
SUSD4
KIF26B
TMEM51
RALGPS2
GPATCH2
BSDC1
XKR8
TMEM39B
PRPF38B
HEATR1
CDCA8
LRRC8D
MSTO1
DARS2
ARHGEF10L
PRMT6
RNF220
VPS13D
FAM176B
GOLPH3L
ATAD3A
TMEM57
KLHDC8A
TRIM62
ETNK2
RAVER2
PANK4
KIRREL
TMEM206
YY1AP1
ECHDC2
FGGY
MCOLN3
SLC22A15
YOD1
CAMK2N1
BATF3
SLC30A10
UBE2Q1
RNPC3
ITLN1
ASAP3
POMGNT1
PNRC2
LRRC40
DEPDC1
PIGV
ZNF692
NBPF1
IARS2
MAP7D1
IPO9
TMEM48
NECAP2
IQCC
C1orf112
HHAT
DNAJC11
ENAH
NUP133
RCOR3
C1orf106
LRIF1
FAM63A
ADCY10
DCAF6
ASH1L
LENEP
CTTNBP2NL
RCC2
FAM212B
DMAP1
AJAP1
GNG12
SLC50A1
TMEM234
FAM54B
SERTAD4
CCBL2
ERO1LB
FMN2
SLAMF8
CDC42SE1
UBQLN4
TMEM167B
OLFML3
SMYD2
LHX9
OTUD7B
ADCK3
CTNNBIP1
C1orf63
AGTRAP
PITHD1
RAB25
PGLYRP4
ZNF695
RHBG
MAN1C1
SCYL3
GJC2
CAMK1G
NIPAL3
SEPN1
ATP8B2
TP73-AS1
VANGL2
FAM91A2
PBXIP1
S100A14
PLEKHG5
GATAD2B
AMIGO1
LRRC47
ODF2L
CGN
KIAA1324
PTCHD2
IGSF9
LRRC7
SIPA1L2
KIF17
ZNF687
ZSWIM5
POGK
KIAA1522
HCN3
CACHD1
MIER1
KIAA1614
FAM5B
HES4
C1orf114
GRHL3
SLAMF7
ZP4
CADM3
PTBP2
RHOU
PRUNE
DNASE2B
DLGAP3
IL22RA1
HIVEP3
KLHL12
LGR6
GPBP1L1
HAPLN2
MIIP
GAS5
PAPPA2
CELA2A
BCAN
GPATCH3
TNN
MRPS14
DMRTB1
DMRTA2
CLSPN
OXCT2
RRAGC
ELTD1
TINAGL1
LEPRE1
TFB2M
SEMA4A
TOR3A
RFWD2
GREM2
RGS18
PLA2G2F
HIAT1
NUCKS1
SMAP2
ACBD3
SMYD3
ATPAF1
MARC1
S100PBP
MEAF6
DEM1
CEP85
ARV1
NMNAT1
ELOVL1
AIDA
VWA1
DCLRE1B
MRPS15
MRPL9
PINK1
JMJD4
MARCKSL1
PRAMEF1
PRAMEF2
INTS3
NADK
ZNF643
SELRC1
PHACTR4
C1orf135
SCNM1
ERI3
C1orf50
WDR77
C1orf116
MGC4473
CCDC28B
C1orf35
EFHD2
MMEL1
RSG1
FCRL2
DLEU2L
OR4F5
NKAIN1
TTC13
EPS8L3
CDC73
MRPL24
MUL1
PGBD5
TNFAIP8L2
C1orf54
TMEM53
AKIRIN1
HECTD3
BEND5
VTCN1
YRDC
ZYG11B
NOL9
PPCS
LIN28A
SH3D21
TTLL7
SNIP1
C1orf115
HHIPL2
VASH2
AGMAT
WDR78
ZMYM1
LINC00115
ZNF669
RPAP2
ZNF672
MORN1
FAM110D
KIAA0319L
DHDDS
PAQR6
DENND2D
WLS
PCNXL2
GPR157
TRIM46
C1orf129
RPF1
SIKE1
ZC3H12A
SPSB1
TARS2
WDR26
TRIM45
EDEM3
FLAD1
TRAF3IP3
GLTPD1
ZNF436
TAS1R2
TAS1R1
SH3BP5L
NPL
GJA9
OR4F16
OR6N2
OR6K2
OR2G3
OR2G2
OR2C3
SYNC
CFHR5
TRIM11
C1orf21
ACTL8
ANKRD13C
PVRL4
SNX27
ANP32E
SHCBP1L
TRMT1L
TSSK3
CCNL2
NUAK2
VANGL1
ST6GALNAC5
ISG20L2
HYI
FCRL5
FCRL4
SH3BGRL3
DDX59
NUF2
RASSF5
SESN2
ESPN
TAS1R3
ATAD3B
HMCN1
GPR61
MIXL1
STK40
C1orf124
TM2D1
FCAMR
REG4
OBSCN
TMEM222
C1orf49
PLEKHN1
HORMAD1
TOMM40L
SYDE2
ZNF644
USP48
ZMYND12
NBPF3
LRRC8C
ZDHHC18
SGIP1
POLR3GL
SLC25A33
TMEM79
NTPCR
EFCAB2
DDI2
ACBD6
LZIC
PROK1
KIAA1804
EFCAB7
ZBTB37
NT5C1A
LCE3D
TRIM63
LINC00260
PSRC1
FAM167B
LINC00467
MGC12982
C1orf170
CROCCP2
FCRLA
ANKRD36BP1
ZNF496
HPDL
ATP1A1OS
AGBL4
MFSD2A
C1orf198
PPP1R15B
ATG4C
MAEL
PRPF38A
SYTL1
IGSF21
LSM10
C1orf94
DISP1
SNHG12
FAM40A
RGS8
DOCK7
KIAA1751
WNT3A
NAV1
SEC16B
AQP10
LHX4
SLAMF9
KIAA2013
THAP3
C1orf201
PYGO2
ANGEL2
SPOCD1
ZNF697
IGFN1
NUP210L
BTF3L4
UBXN11
NEXN
CENPL
DUSP27
RCSD1
MEX3A
METTL18
GORAB
C1orf105
TMEM183A
HIST3H2A
PIGM
IGSF8
C1orf158
LEMD1
ZNF670
FBXO44
ATPIF1
SNORD46
SNORD38A
SNORD38B
DNAJA1P5
C1orf85
MED8
KTI12
C1orf212
ADC
TMEM54
HENMT1
TOE1
NLRP3
ERMAP
PGLYRP3
CSMD2
MYSM1
GNRHR2
CROCCP3
FHAD1
SLAMF6
OSBPL9
SLC26A9
LOC115110
OMA1
RAB42
FCRL1
FCRL3
LRRC42
GBP4
GBP5
FAM46B
FMO9P
FAM36A
RBP7
TSEN15
FAM129A
SNAP47
ACAP3
TADA1
THEM4
SH2D1B
SSX2IP
UBE2J2
OLFM3
GABPB2
TCHHL1
RPTN
CCDC163P
TDRD10
SHE
C1orf172
C1orf96
LRRC38
AADACL3
PUSL1
B3GALT6
WDR63
KLHDC9
AXDND1
MAB21L3
IFFO2
HIST2H3C
SLC44A3
ATXN7L2
C1orf194
LYPLAL1
OR2M5
OR2M3
OR2T12
OR14C36
OR2T34
OR2T10
OR2T4
OR2T11
ATP6V1G3
ASB17
TYW3
C1orf173
LRRIQ3
TPRG1L
FAM213B
MYOM3
DMBX1
OR10J5
TMCO2
ZNF684
TCEANC2
PODN
LRRC39
GJB4
HMGB4
RNF19B
DCST2
DNAH14
OR2B11
ZNF648
TEDDM1
C1orf122
OSCP1
C1orf216
KLHDC7A
VWA5B1
UBXN10
C1orf87
ARL8A
SYT2
LOC127841
GOLT1A
UHMK1
FCRLB
WDR64
C1orf131
LIX1L
HSD3BP4
SPATA17
EDARADD
KLF17
TMEM125
C1orf182
IQGAP3
APOA1BP
ARHGEF19
MRPL55
HIST3H2BB
DRAM2
C1orf88
C1orf162
OR10T2
OR6P1
OR10X1
OR10Z1
OR6K6
OR6N1
TATDN3
S100A16
NEK7
ACTRT2
MIB2
ITLN2
SYT6
C1orf74
CREB3L4
C1orf127
BROX
SAMD11
LOC148413
SAMD13
C1orf52
PHF13
C1orf51
TMEM56
NBPF4
UBE2U
SLC35F3
LOC148696
LOC148709
PTPRVP
HFE2
ANKRD35
FAM163A
B3GALNT2
MFSD4
PM20D1
C1orf150
LOC148824
SLC30A7
CCDC27
C1orf213
KNCN
MOB3C
GLIS1
LELP1
RC3H1
MGC27382
DCDC2B
ZNF362
LOC149086
DCST1
CNIH3
LOC149134
MANEAL
IL23R
METTL11B
FAM78B
SHISA4
EXOC8
PDIK1L
BNIPL
CLDN19
WDR65
C1orf210
CCDC24
BTBD19
CCDC17
LRRC71
C1orf64
RNF187
RP11-165H20.1
PYHIN1
C1orf227
FAM71A
SLC2A7
DENND2C
GBP6
LPPR5
FNDC7
DENND1B
TDRD5
TOR1AIP2
CALML6
IL28RA
CYP4Z2P
CITED4
FLJ40434
C1orf177
SPRR4
KANK4
SASS6
C1orf55
CNST
FAM43B
PPIAL4A
HFM1
PAQR7
TTC24
C1orf65
UBL4B
PDIA3P
EIF2C3
EIF2C4
LCE4A
ALG14
FAM76A
LINC00466
C1orf168
TMEM201
TMEM61
CYP4Z1
C1orf86
CDCP2
SLC5A9
CC2D1B
NBPF11
NUDT17
FLJ23867
TXLNA
TCTEX1D1
PLD5
C1orf100
SPAG17
SLFNL1
KRTCAP2
CRTC2
C1orf126
IBA57
HIPK1
SLC44A5
ATAD3C
AKR7L
AKR7A2P1
TMEM9
FNDC5
EPHX4
LOC254099
TTLL10
AKNAD1
SLC41A1
OR2T6
LCE5A
TMCO4
MCOLN2
COL24A1
LOC255654
PCSK9
SYT14
ST6GALNAC3
C1orf101
ZNF683
ARHGAP30
C1orf192
NEGR1
ASPM
CYP4X1
MAGI3
TIPRL
NPHP4
BEST4
PGBD2
FAM19A3
RIIAD1
THEM5
OR2L13
SLC9A11
OR14A16
CYP4A22
C1orf185
LOC284551
NBPF15
LINC00303
LOC284576
LOC284578
LOC284581
FAM41C
FAM102B
SYPL2
CYB561D1
ANKRD34A
RUSC1-AS1
LOC284632
LOC284648
DKFZP564C196
RSPO1
EPHA10
LOC284661
C1orf204
C1orf111
LOC284688
ZNF326
BTBD8
HNRNPU-AS1
RIMKLA
SLC25A34
ESPNP
LIN9
VN1R5
HIST2H2AB
PPM1J
HIST2H3A
HIST2H2BC
HIST2H2BA
FAM151A
S100A7A
LINGO4
RXFP4
ANKRD45
LOC339442
C1orf174
KLHL17
TMEM240
TMEM52
FAM5C
MTMR9LP
ZBTB8OS
TFAP2E
ZNF678
PRSS38
LOC339505
C1orf110
FAM58BP
LOC339524
LOC339529
LOC339535
C1orf228
ZNF642
RD3
AADACL4
PRAMEF5
HNRNPCL1
PRAMEF9
PRAMEF10
CCDC18
OR6F1
OR2W3
OR2T8
OR2T3
MYBPHL
OR10R2
FCRL6
KCNT2
BARHL2
HSP90B3P
NBPF7
TCTEX1D4
OR2T29
SERINC2
FAM159A
FAM131C
LCE1A
LCE1B
LCE1C
LCE1D
LCE1E
LCE1F
LCE2A
LCE2C
LCE2D
LCE3A
LCE3B
LCE3C
LCE3E
PADI6
RGSL1
BMP8A
IRF2BP2
ZBTB41
CYCSP52
C1orf187
SPATA21
CCDC23
ATPAF1-AS1
HEATR8
FAM73A
LOC375010
PEAR1
SFT2D2
MIA3
C1orf95
FAM89A
AGRN
RPS10P7
APITD1
CATSPER4
NSUN4
GPR153
ILDR2
FAM132A
HES5
LOC388588
RNF207
TMEM82
TRNP1
CD164L2
LOC388630
LDLRAD1
GBP7
C1orf146
FAM69A
SLC6A17
NOTCH2NL
FLJ39739
LOC388692
LYSMD1
HRNR
FLG2
C1orf189
FMO6P
LINC00272
C1orf53
TMEM81
CAPN8
C1orf31
C1orf229
OR2M1P
HES3
PRAMEF12
PRAMEF21
PRAMEF8
PRAMEF18
PRAMEF17
PLA2G2C
SKINTL
UOX
FRRS1
VHLL
OR10K2
OR10K1
OR6Y1
OR6K3
VSIG8
OR11L1
OR2L8
OR2AK2
OR2L3
OR2M2
OR2T33
OR2M7
OR2G6
TMEM200B
PRAMEF4
PRAMEF13
SH2D5
C1orf130
LOC400752
C1orf141
GBP1P1
FLJ27354
MIR137HG
C1orf226
LOC400794
C1orf220
C1orf140
NBPF9
FAM177B
RNF223
PRAMEF3
LDLRAD2
LOC401980
ZNF847P
OR2T2
OR2T5
OR14I1
LOC402779
OR2T27
OR2T35
APOBEC4
MIR101-1
MIR137
MIR181B1
MIR186
MIR194-1
MIR197
MIR199A2
MIR200A
MIR200B
MIR205
MIR181A1
MIR214
MIR215
MIR29B2
MIR29C
MIR30C1
MIR30E
MIR34A
MIR9-1
RGS21
LHX8
C1orf180
FLJ42875
PRAMEF11
PRAMEF6
LOC440563
UQCRHL
MINOS1
FLJ32224
FAM183A
ZYG11A
FLJ31662
LOC440600
BCL2L15
HIST2H2BF
ETV3L
LRRC52
LOC440700
LOC440704
C1orf186
TRIM67
MAP1LC3C
H3F3AP4
ANKRD65
PRAMEF7
PGCP1
OR10J3
OR2W5
OR13G1
MIR135B
KPRP
LCE6A
SUMO1P3
GEMIN8P4
RBMXL1
LURAP1
PEF1
MIR429
C1orf98
HIST2H4B
DUSP5P
C1orf133
PRR9
MIR488
CYB5RL
SNORD74
RPL31P11
LOC641515
FAM138F
MIR205HG
SRG7
FLVCR1-AS1
CYMP
KIAA0754
LOC643441
LOC643723
LOC643837
TMEM88B
C1orf233
LOC644242
PPIAL4G
LOC644961
C1orf200
PPIAL4D
LOC645166
SNRPD2P2
PRAMEF19
PRAMEF20
FAM138A
LOC645676
POU5F1P4
RPS7P5
S100A7L2
LOC646268
LOC646471
LOC646626
LOC646627
EMBP1
SRGAP2P2
LOC648740
LOC649330
ZBTB8A
NBPF6
LOC653160
PPIAL4B
LOC653513
GPR89A
LOC653566
PPIAL4C
HIST2H3D
PRAMEF22
PRAMEF15
WASH7P
TMEM183B
FAM72B
PRAMEF16
PCP4L1
SCARNA3
SCARNA2
SCARNA4
SCARNA1
SNORA14B
SNORA36B
SNORA42
SNORA44
SNORA55
SNORA61
SNORA77
SNORA59B
SNORA59A
SNORA16A
SNORD45C
SNORA16B
SNORD75
SNORD76
SNORD77
SNORD78
SNORD85
SNORD99
SNORD103A
SNORD103B
MIR548D1
MIR551A
MIR553
MIR554
MIR555
MIR556
MIR557
MIR92B
HIST2H2AA4
ZBTB8B
LOC728431
PPIEL
LOC728463
CCDC30
CDK11A
SLC35E2B
LOC728716
FAM72D
LOC728855
LOC728875
NBPF24
GPR89C
NBPF16
PDZK1P1
PPIAL4F
RPS15AP10
LOC728989
LOC729041
LOC729059
HSD52
PRAMEF14
FAM72A
FLJ37453
LOC729737
OR4F29
LOC729970
LOC729987
LOC730102
LOC730159
LOC730227
PPIAL4E
LOC731275
PFN1P2
MIR765
MIR942
MIR190B
MIR760
MIR921
LOC100128071
LOC100128787
LOC100129046
LOC100129138
LOC100129196
LOC100129269
C1orf68
MSTO2P
LOC100129534
LOC100129620
LOC100129924
LOC100130000
LOC100130093
LOC100130197
LOC100130331
LOC100130417
LOC100130557
LOC100131060
TSTD1
LOC100131234
LOC100131564
LOC100131825
LOC100132062
LOC100132111
LOC100132287
NBPF10
FCGR1C
ZRANB2-AS1
LOC100132774
LOC100133331
LOC100133445
LOC100133612
C2CD4D
LOC100286793
DDX11L1
LOC100287722
LOC100287814
TTC34
LGALS8-AS1
GM140
LOC100288069
LOC100288079
LOC100289178
LOC100289211
MIR320B1
MIR1182
MIR1537
MIR1231
MIR1278
MIR1295A
MIR1976
MIR548F1
MIR664
MIR1262
LOC100302401
LINC00184
TSNAX-DISC1
MIR320B2
MIR761
NPPA-AS1
ZBED6
MIR3119-1
MIR3123
MIR3115
MIR3117
MIR3124
MIR3120
MIR4260
MIR4255
MIR4253
MIR3122
MIR4251
MIR4252
MIR4256
MIR4257
MIR3119-2
MIR4258
MIR4254
MIR3121
MIR3659
MIR3917
MIR3620
MIR3658
MIR3916
MIR3605
MIR3671
MIR548AA1
MIR3675
LOC100505633
LOC100505666
LOC100505768
LOC100505795
PROX1-AS1
LOC100505918
ENO1-AS1
LOC100506023
LOC100506046
ZMYM6NB
LOC100506343
KDM5B-AS1
LOC100506730
LOC100506795
LOC100506801
LOC100506810
LOC100506963
LOC100507178
LOC100507423
LOC100507564
LOC100507634
APITD1-CORT
FPGT-TNNI3K
GJA9-MYCBP
HEATR8-TTC4
PMF1-BGLAP
LOC100527964
TMEM56-RWDD3
C1orf151-NBL1
ZNF670-ZNF695
TNFAIP8L2-SCNM1
MIR4695
MIR4420
MIR4753
MIR4422
MIR4666A
MIR4781
MIR4424
MIR4794
MIR4677
MIR4735
MIR4671
MIR4654
MIR4427
MIR4684
MIR4711
MIR4689
MIR4632
MIR2682
MIR4742
MIR4423
MIR4417
MIR378F
DNM3OS
RCAN3AS
NEGR1-IT1
ZRANB2-AS2
LINC00538
Genes in Wide Peak

This is the comprehensive list of deleted genes in the wide peak for 22q12.3.

Table S27.  Genes in bold are cancer genes as defined by The Sanger Institute: Cancer Gene Census[7].

Genes
BCR
EP300
EWSR1
MN1
MYH9
NF2
PDGFB
SMARCB1
CLTCL1
CHEK2
MKL1
hsa-mir-3201
hsa-let-7b
hsa-mir-1249
hsa-mir-33a
hsa-mir-1281
hsa-mir-659
hsa-mir-3200
hsa-mir-3199-2
hsa-mir-548j
hsa-mir-650
hsa-mir-130b
hsa-mir-649
hsa-mir-1286
hsa-mir-1306
hsa-mir-185
hsa-mir-648
hsa-mir-3198
ACR
ACO2
ADORA2A
ADRBK2
ADSL
AP1B1
ARSA
ARVCF
ATF4
ATP6V1E1
BID
BIK
TSPO
MPPED1
CHKB
COMT
CPT1B
CRKL
CRYBA4
CRYBB1
CRYBB2
CRYBB2P1
CRYBB3
CSF2RB
CSNK1E
CYP2D7P1
CYP2D6
DDT
CYB5R3
TYMP
FBLN1
XRCC6
GGT1
GGT3P
GGT5
GNAZ
GP1BB
MCHR1
GSC2
GSTT1
GSTT2
H1F0
SERPIND1
HMOX1
IGLL1
IL2RB
KCNJ4
LGALS1
LGALS2
LIF
LIMK2
MB
MCM5
MFNG
MGAT3
MIF
MMP11
MPST
NAGA
NCF4
NDUFA6
DRG1
NEFH
NHP2L1
OSM
PI4KA
PMM1
SEPT5
POLR2F
PPARA
MAPK1
MAPK11
PRODH
PVALB
RAC2
RANBP1
RANGAP1
RFPL1
RPL3
MAPK12
SBF1
SLC5A1
SMTN
SLC5A4
SLC7A4
SLC25A1
SNRPD3
SOX10
SREBF2
SSTR3
ST13
TBX1
TCF20
TCN2
TEF
TIMP3
CLDN5
TOP1P2
TST
HIRA
UBE2L3
UFD1L
UPK3A
VPREB1
WNT7B
XBP1
YWHAH
ZNF70
ZNF74
DGCR6
LZTR1
DGCR14
SYN3
CDC45
PLA2G6
TPST2
GALR3
NIPSNAP1
APOL1
THOC5
EIF3D
MTMR3
CACNA1I
TOP3B
P2RX6
SYNGR1
LARGE
SNAP29
GRAP2
PICK1
GAL3ST1
GTPBP1
APOBEC3B
RAB36
CELSR1
PPM1F
DEPDC5
PPP6R2
SFI1
ZBED4
JOSD1
RBX1
DGCR2
SCO2
HMGXB4
TOM1
DNAL4
SF3A1
PKDREJ
CACNG2
TAB1
SLC25A17
DDX17
TXNRD2
RASL10A
GAS2L1
RFPL3-AS1
RFPL3
RFPL2
RFPL1-AS1
NUP50
TOB2
KDELR3
IFT27
TRIOBP
CDC42EP1
DMC1
RABL2B
PACSIN2
USP18
MORC2
TNRC6B
HIC2
GRAMD4
TTLL12
MLC1
ZC3H7B
KIAA0930
TTC28
SPECC1L
GCAT
CBX6
NPTXR
PES1
CBX7
CABIN1
PRAME
SLC16A8
SEC14L2
MAPK8IP2
RBFOX2
SEZ6L
RASD2
PATZ1
SH3BP1
TSSK2
PLXNB2
SDF2L1
PPIL2
PITPNB
PISD
OSBP2
MAFF
IL17RA
BRD1
ARHGAP8
APOL2
AP1B1P1
ANKRD62P1-PARP4P3
POTEH
BCL2L13
TFIP11
C22orf31
TBC1D22A
GSTTP1
C22orf24
CBY1
SUN2
DGCR11
DGCR9
FBXO7
RHBDD3
TTLL1
POM121L1P
SAMM50
ATXN10
FAM19A5
TXN2
TMEM184B
SULT4A1
GGA1
RIBC2
DGCR5
DGCR10
FBXW4P1
ARFGAP3
SNORD43
TRMT2A
INPP5J
SMC1B
CYTH4
RTDR1
CSDC2
RRP7A
MCAT
APOBEC3C
PPPDE2
SGSM3
HSFY1P1
CECR6
CECR5
CECR3
CECR2
POM121L9P
CARD10
PARVB
NCAPH2
UQCR10
POM121L8P
YPEL1
ZDHHC8
VPREB3
PLA2G3
C22orf43
EIF3L
C22orf28
GTSE1
MTFP1
MED15
UPB1
TUBA8
CECR1
A4GALT
MOV10L1
SMCR7L
DGCR8
GNB1L
TUG1
FAM118A
TTC38
C22orf26
MIOX
PRR5
PEX26
TRMU
ZMAT5
SEPT3
SUSD2
EIF4ENIF1
PANX2
TOMM22
PDXP
ASPHD2
MICAL3
APOBEC3G
XPNPEP3
PARVG
CERK
EFCAB6
MRPL40
RTN4R
SLC2A11
CENPM
ALG12
NOL12
CRELD2
C22orf46
C22orf29
KCTD17
CCDC134
ADM2
FOXRED2
BAIAP2L2
SCUBE1
TRABD
PNPLA3
THAP7
APOL6
APOL5
APOL4
APOL3
OR11H1
C22orf13
SELO
SLC25A18
L3MBTL2
TBC1D10A
HDAC10
KREMEN1
ZNRF3
ASCC2
TMEM191A
LDOC1L
POLDIP3
C22orf23
MYO18B
PHF5A
KLHL22
KIAA1644
SHANK3
DGCR6L
KIAA1656
RIMBP3
MICALL1
TUBGCP6
KIAA1671
HPS4
LOC90834
SCARF2
GGTLC2
LMF2
GUSBP11
DERL3
IGLL3P
LRP5L
RNF185
ISX
RPS19BP1
C22orf32
RRP7B
SERHL
LOC96610
PHF21B
MGC16703
KLHDC7B
PIK3IP1
FAM83F
ELFN2
C1QTNF6
TNFRSF13C
RNU86
SNORD83A
SNORD83B
GAB4
C22orf39
C22orf25
ZNF280A
SGSM1
EMID1
ANKRD54
APOBEC3D
SELM
ZNF280B
CCT8L2
XKR3
LOC150185
LOC150197
AIFM3
RIMBP3C
YDJC
ZDHHC8P1
C22orf15
HSCB
CCDC117
HORMAD2
DUSP18
MORC2-AS1
C22orf42
ENTHD1
DNAJB7
CHADL
MEI1
FAM109B
NFAM1
PNPLA5
LOC150381
C22orf40
CN5H6.4
CCDC116
CABP7
TMPRSS6
APOBEC3H
WBP2NL
POLR3H
RNF215
APOBEC3A
APOBEC3F
PRR14L
SERHL2
BPIFC
TMEM211
SEC14L3
POM121L4P
RGL4
RNU12
ATP5L2
LOC284865
LOC284889
TTC28-AS1
SEC14L4
LOC284933
RPL23AP82
SLC35E4
LOC339666
C22orf33
BK250D10.8
LOC339685
C22orf34
PI4KAP2
SDC4P
CHKB-CPT1B
TPTEP1
LOC388849
FAM211B
LOC388906
LINC00207
LOC391322
LOC400891
BCRP2
CHCHD10
LOC400927
MIRLET7BHG
FLJ46257
IL17REL
SRRD
MIRLET7A3
MIRLET7B
MIR130B
MIR185
MIR33A
LINC00229
FAM116B
PIM3
THAP7-AS1
P2RX6P
RIMBP3B
PIWIL3
MIAT
SHISA8
ODF3B
CCDC157
PRR5-ARHGAP8
BCRP3
SYCE3
TMEM191C
C22orf45
POM121L10P
LOC646851
LOC648691
CES5AP1
GATSL3
GSTTP2
GSTT2B
MIR648
MIR650
MIR658
MIR659
TMEM191B
PI4KAP1
LOC729444
SEC14L6
LOC730668
DDTL
SNORD125
MIR301B
LOC100128531
LOC100128946
CECR7
CECR5-AS1
LOC100130899
LOC100132273
LOC100144603
FLJ41941
LOC100271722
MIR1286
MIR1249
MIR1306
MIR1281
MIR548J
MIR3200
MIR3201
MIR3199-2
MIR3198-1
MIR3199-1
IGLL5
MIR3909
MIR3619
MIR3653
MIR3618
MIR3928
LOC100506195
LOC100506241
LOC100506472
LOC100506714
SEPT5-GP1BB
MIR4763
MIR4534
MIR4762
MIR4766
MIR4764
MIR4761
MIR4535
Arm-level results

Table 3.  Get Full Table Arm-level significance table - 18 significant results found. The significance cutoff is at Q value=0.25.

Arm # Genes Amp Frequency Amp Z score Amp Q value Del Frequency Del Z score Del Q value
1p 2121 0.03 -1.52 0.998 0.63 23.8 0
1q 1955 0.11 0.9 0.998 0.21 5.17 4.61e-07
2p 924 0.04 -1.38 0.998 0.07 -0.178 1
2q 1556 0.01 -2.94 0.998 0.08 0.149 0.931
3p 1062 0.02 -1.96 0.998 0.39 15.4 0
3q 1139 0.00 -2.34 0.998 0.56 23.7 0
4p 489 0.03 -1.77 0.998 0.06 0.145 0.931
4q 1049 0.02 -2.42 0.998 0.06 -0.34 1
5p 270 0.07 0.71 0.998 0.03 -1.26 1
5q 1427 0.05 -1.45 0.998 0.05 -1.45 1
6p 1173 0.07 -0.106 0.998 0.03 -2.16 1
6q 839 0.05 -0.829 0.998 0.12 2.82 0.008
7p 641 0.16 5.14 5.47e-06 0.01 -2.67 1
7q 1277 0.13 2.65 0.0531 0.05 -1.1 1
8p 580 0.07 0.398 0.998 0.13 3.22 0.0023
8q 859 0.09 0.989 0.998 0.08 0.686 0.58
9p 422 0.02 -2.04 0.998 0.08 0.855 0.491
9q 1113 0.02 -2.44 0.998 0.07 -0.0801 1
10p 409 0.08 0.822 0.998 0.01 -2.73 1
10q 1268 0.06 -0.549 0.998 0.01 -3.16 1
11p 862 0.03 -1.62 0.998 0.34 13.5 0
11q 1515 0.02 -2.53 0.998 0.25 7.88 7.4e-15
12p 575 0.07 0.334 0.998 0.01 -2.82 1
12q 1447 0.08 0.188 0.998 0.00 -3.51 1
13q 654 0.06 -0.265 0.998 0.05 -0.888 1
14q 1341 0.03 -2.1 0.998 0.13 2.49 0.0169
15q 1355 0.08 0.359 0.998 0.03 -2.22 1
16p 872 0.04 -1.38 0.998 0.05 -0.778 1
16q 702 0.04 -1.34 0.998 0.03 -1.96 1
17p 683 0.00 -2.6 0.998 0.39 16.6 0
17q 1592 0.02 -2.53 0.998 0.13 2.5 0.0169
18p 143 0.06 0.00133 0.998 0.11 2.68 0.0115
18q 446 0.07 0.226 0.998 0.04 -1.06 1
19p 995 0.13 2.77 0.0531 0.01 -2.91 1
19q 1709 0.09 0.421 0.998 0.04 -1.79 1
20p 355 0.07 0.561 0.998 0.01 -2.36 1
20q 753 0.06 -0.425 0.998 0.02 -2.27 1
21q 509 0.02 -1.76 0.998 0.22 8.07 1.67e-15
22q 921 0.03 -1.6 0.998 0.36 14.3 0
Xq 1312 0.05 -1.19 0.998 0.32 11.4 0
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.

  • Gene GISTIC: When enabled (value = 1), this option causes GISTIC to analyze deletions using genes instead of array markers to locate the lesion. In this mode, the copy number assigned to a gene is the lowest copy number among the markers that represent the gene.

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/PCPG-TP/8021425/GDAC_MergeDataFiles_8024279/PCPG-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

  • Gene GISTIC = 1

Table 4.  Get Full Table First 10 out of 159 Input Tumor Samples.

Tumor Sample Names
TCGA-P7-A5NY-01A-12D-A35C-01
TCGA-P8-A5KC-01A-11D-A35C-01
TCGA-P8-A5KD-01A-11D-A35C-01
TCGA-P8-A6RX-01A-11D-A35C-01
TCGA-P8-A6RY-01A-12D-A35C-01
TCGA-PR-A5PG-01A-11D-A35C-01
TCGA-PR-A5PH-01A-11D-A35C-01
TCGA-QR-A6GO-01A-11D-A35C-01
TCGA-QR-A6GR-01A-11D-A35C-01
TCGA-QR-A6GS-01A-11D-A35C-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

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] 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)