Cervical Squamous Cell Carcinoma: Correlation between copy number variation genes and molecular subtypes
(primary solid tumor cohort)
Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
Overview
Introduction

This pipeline computes the correlation between significant copy number variation (cnv) genes and molecular subtypes.

Summary

Testing the association between copy number variation of 52 peak regions and 6 molecular subtypes across 126 patients, 15 significant findings detected with Q value < 0.25.

  • Amp Peak 4(2q32.3) cnvs correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.

  • Amp Peak 5(3q26.2) cnvs correlated to 'CN_CNMF'.

  • Amp Peak 6(3q28) cnvs correlated to 'CN_CNMF'.

  • Amp Peak 14(11q22.1) cnvs correlated to 'CN_CNMF'.

  • Del Peak 1(1p36.23) cnvs correlated to 'MIRSEQ_CHIERARCHICAL'.

  • Del Peak 5(3p11.1) cnvs correlated to 'CN_CNMF'.

  • Del Peak 6(4q22.1) cnvs correlated to 'CN_CNMF'.

  • Del Peak 7(4q35.2) cnvs correlated to 'CN_CNMF'.

  • Del Peak 14(10q26.3) cnvs correlated to 'CN_CNMF'.

  • Del Peak 19(15q15.1) cnvs correlated to 'CN_CNMF'.

  • Del Peak 21(16q23.1) cnvs correlated to 'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_CHIERARCHICAL'.

  • Del Peak 24(19p13.3) cnvs correlated to 'MIRSEQ_CHIERARCHICAL'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 52 regions and 6 molecular subtypes. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 15 significant findings detected.

Molecular
subtypes
CN
CNMF
METHLYATION
CNMF
MRNASEQ
CNMF
MRNASEQ
CHIERARCHICAL
MIRSEQ
CNMF
MIRSEQ
CHIERARCHICAL
nCNV (%) nWild-Type Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test
Del Peak 21(16q23 1) 28 (22%) 98 1
(1.00)
0.0202
(1.00)
0.000234
(0.0706)
3.45e-05
(0.0106)
0.143
(1.00)
0.000197
(0.0598)
Amp Peak 4(2q32 3) 20 (16%) 106 0.000238
(0.0715)
0.0817
(1.00)
0.000645
(0.193)
0.00615
(1.00)
0.795
(1.00)
0.0185
(1.00)
Amp Peak 5(3q26 2) 95 (75%) 31 1.26e-06
(0.000391)
0.585
(1.00)
0.0931
(1.00)
0.332
(1.00)
0.85
(1.00)
0.105
(1.00)
Amp Peak 6(3q28) 94 (75%) 32 6.37e-07
(0.000199)
0.702
(1.00)
0.0492
(1.00)
0.363
(1.00)
0.818
(1.00)
0.063
(1.00)
Amp Peak 14(11q22 1) 27 (21%) 99 7.38e-05
(0.0225)
0.0723
(1.00)
0.0782
(1.00)
0.223
(1.00)
0.0132
(1.00)
0.123
(1.00)
Del Peak 1(1p36 23) 20 (16%) 106 0.0829
(1.00)
0.0329
(1.00)
0.00125
(0.365)
0.0013
(0.379)
0.474
(1.00)
0.000203
(0.0612)
Del Peak 5(3p11 1) 51 (40%) 75 0.000668
(0.199)
0.0272
(1.00)
0.39
(1.00)
0.00232
(0.669)
0.129
(1.00)
0.00706
(1.00)
Del Peak 6(4q22 1) 39 (31%) 87 1.5e-06
(0.000464)
0.0616
(1.00)
0.0723
(1.00)
0.534
(1.00)
0.2
(1.00)
0.297
(1.00)
Del Peak 7(4q35 2) 47 (37%) 79 1.38e-05
(0.00427)
0.0323
(1.00)
0.0499
(1.00)
0.16
(1.00)
0.575
(1.00)
0.323
(1.00)
Del Peak 14(10q26 3) 38 (30%) 88 0.000133
(0.0405)
0.516
(1.00)
0.421
(1.00)
0.398
(1.00)
0.708
(1.00)
0.777
(1.00)
Del Peak 19(15q15 1) 29 (23%) 97 2.68e-05
(0.00825)
0.346
(1.00)
0.303
(1.00)
0.292
(1.00)
0.176
(1.00)
0.0869
(1.00)
Del Peak 24(19p13 3) 39 (31%) 87 0.00302
(0.862)
1
(1.00)
0.00295
(0.844)
0.0699
(1.00)
0.0318
(1.00)
3.54e-05
(0.0108)
Amp Peak 1(1q21 3) 67 (53%) 59 0.0103
(1.00)
0.098
(1.00)
0.386
(1.00)
0.635
(1.00)
0.58
(1.00)
0.566
(1.00)
Amp Peak 2(1q44) 68 (54%) 58 0.00905
(1.00)
0.785
(1.00)
0.573
(1.00)
1
(1.00)
0.21
(1.00)
0.546
(1.00)
Amp Peak 3(2p24 3) 33 (26%) 93 0.147
(1.00)
0.505
(1.00)
0.0605
(1.00)
0.0689
(1.00)
0.0869
(1.00)
0.0056
(1.00)
Amp Peak 7(4q12) 12 (10%) 114 0.507
(1.00)
0.165
(1.00)
0.0826
(1.00)
0.00436
(1.00)
0.216
(1.00)
0.0208
(1.00)
Amp Peak 8(6p21 33) 35 (28%) 91 0.00495
(1.00)
0.00863
(1.00)
0.00286
(0.82)
0.0553
(1.00)
0.182
(1.00)
0.0319
(1.00)
Amp Peak 9(6q12) 24 (19%) 102 0.342
(1.00)
0.135
(1.00)
0.143
(1.00)
0.00858
(1.00)
0.239
(1.00)
0.181
(1.00)
Amp Peak 10(8q24 21) 53 (42%) 73 0.00207
(0.6)
0.849
(1.00)
0.647
(1.00)
0.534
(1.00)
0.0891
(1.00)
0.491
(1.00)
Amp Peak 11(8q24 21) 48 (38%) 78 0.00432
(1.00)
0.287
(1.00)
0.705
(1.00)
0.386
(1.00)
0.34
(1.00)
0.852
(1.00)
Amp Peak 12(9p24 1) 28 (22%) 98 0.0587
(1.00)
0.586
(1.00)
0.806
(1.00)
0.528
(1.00)
0.234
(1.00)
0.685
(1.00)
Amp Peak 13(11q13 3) 18 (14%) 108 0.0384
(1.00)
0.726
(1.00)
0.0171
(1.00)
0.0291
(1.00)
0.107
(1.00)
0.885
(1.00)
Amp Peak 15(13q22 1) 27 (21%) 99 0.00534
(1.00)
0.387
(1.00)
0.205
(1.00)
0.224
(1.00)
0.162
(1.00)
0.0195
(1.00)
Amp Peak 16(14q24 1) 25 (20%) 101 0.689
(1.00)
0.78
(1.00)
0.282
(1.00)
0.113
(1.00)
0.705
(1.00)
0.955
(1.00)
Amp Peak 17(15q26 3) 30 (24%) 96 0.00584
(1.00)
0.447
(1.00)
0.316
(1.00)
0.539
(1.00)
0.928
(1.00)
1
(1.00)
Amp Peak 18(16p13 2) 27 (21%) 99 0.0757
(1.00)
0.201
(1.00)
0.87
(1.00)
0.739
(1.00)
0.779
(1.00)
0.806
(1.00)
Amp Peak 19(16p13 13) 30 (24%) 96 0.0618
(1.00)
0.139
(1.00)
0.647
(1.00)
0.235
(1.00)
0.682
(1.00)
0.465
(1.00)
Amp Peak 20(17q12) 21 (17%) 105 0.0631
(1.00)
0.0516
(1.00)
0.0126
(1.00)
0.0951
(1.00)
0.112
(1.00)
0.065
(1.00)
Amp Peak 21(17q25 1) 34 (27%) 92 0.0113
(1.00)
0.043
(1.00)
0.0411
(1.00)
0.429
(1.00)
0.48
(1.00)
0.607
(1.00)
Amp Peak 22(19q13 31) 43 (34%) 83 0.0124
(1.00)
0.642
(1.00)
0.287
(1.00)
0.154
(1.00)
0.0995
(1.00)
0.874
(1.00)
Amp Peak 23(20q11 21) 61 (48%) 65 0.000998
(0.295)
0.371
(1.00)
0.283
(1.00)
0.256
(1.00)
0.532
(1.00)
0.722
(1.00)
Amp Peak 24(Xq28) 36 (29%) 90 0.795
(1.00)
0.139
(1.00)
0.673
(1.00)
0.909
(1.00)
0.0433
(1.00)
0.133
(1.00)
Del Peak 2(1p13 1) 12 (10%) 114 0.75
(1.00)
0.375
(1.00)
1
(1.00)
1
(1.00)
0.316
(1.00)
0.919
(1.00)
Del Peak 3(2q22 1) 22 (17%) 104 0.0525
(1.00)
0.633
(1.00)
0.906
(1.00)
0.821
(1.00)
0.911
(1.00)
0.953
(1.00)
Del Peak 4(2q37 1) 51 (40%) 75 0.00431
(1.00)
0.0367
(1.00)
0.201
(1.00)
0.333
(1.00)
0.172
(1.00)
0.0766
(1.00)
Del Peak 8(5q14 3) 36 (29%) 90 0.0245
(1.00)
0.174
(1.00)
0.631
(1.00)
0.144
(1.00)
0.216
(1.00)
0.346
(1.00)
Del Peak 9(6p24 3) 18 (14%) 108 0.619
(1.00)
0.192
(1.00)
0.258
(1.00)
0.159
(1.00)
0.499
(1.00)
1
(1.00)
Del Peak 10(6p12 1) 20 (16%) 106 0.674
(1.00)
0.502
(1.00)
0.466
(1.00)
0.123
(1.00)
0.819
(1.00)
0.135
(1.00)
Del Peak 11(6q26) 48 (38%) 78 0.134
(1.00)
0.33
(1.00)
0.363
(1.00)
0.676
(1.00)
0.545
(1.00)
0.495
(1.00)
Del Peak 12(7q34) 28 (22%) 98 0.00527
(1.00)
0.86
(1.00)
0.12
(1.00)
0.668
(1.00)
0.0683
(1.00)
0.198
(1.00)
Del Peak 13(10q23 31) 39 (31%) 87 0.0221
(1.00)
0.668
(1.00)
0.272
(1.00)
0.0197
(1.00)
0.739
(1.00)
0.87
(1.00)
Del Peak 15(11p15 1) 40 (32%) 86 0.301
(1.00)
0.0875
(1.00)
0.162
(1.00)
0.0665
(1.00)
0.351
(1.00)
0.502
(1.00)
Del Peak 16(11q25) 74 (59%) 52 0.00223
(0.645)
0.149
(1.00)
0.127
(1.00)
0.106
(1.00)
0.0267
(1.00)
0.447
(1.00)
Del Peak 17(13q13 3) 52 (41%) 74 0.144
(1.00)
0.0916
(1.00)
0.398
(1.00)
0.807
(1.00)
0.0197
(1.00)
0.107
(1.00)
Del Peak 18(14q32 31) 25 (20%) 101 0.0774
(1.00)
0.00839
(1.00)
0.00118
(0.347)
0.00122
(0.359)
0.024
(1.00)
0.0052
(1.00)
Del Peak 20(16q11 2) 25 (20%) 101 0.75
(1.00)
0.0362
(1.00)
0.0103
(1.00)
0.00812
(1.00)
0.139
(1.00)
0.00188
(0.548)
Del Peak 22(17p12) 42 (33%) 84 0.0111
(1.00)
0.136
(1.00)
0.233
(1.00)
0.755
(1.00)
0.0932
(1.00)
0.044
(1.00)
Del Peak 23(17q25 3) 22 (17%) 104 0.0451
(1.00)
0.000907
(0.269)
0.0359
(1.00)
0.0345
(1.00)
0.0484
(1.00)
0.0426
(1.00)
Del Peak 25(20p12 1) 17 (13%) 109 0.846
(1.00)
0.342
(1.00)
0.746
(1.00)
1
(1.00)
0.434
(1.00)
0.451
(1.00)
Del Peak 26(21q21 1) 27 (21%) 99 0.0618
(1.00)
0.372
(1.00)
0.569
(1.00)
0.387
(1.00)
0.527
(1.00)
0.8
(1.00)
Del Peak 27(Xp11 3) 37 (29%) 89 0.00441
(1.00)
0.00424
(1.00)
0.211
(1.00)
0.192
(1.00)
0.0119
(1.00)
0.00375
(1.00)
Del Peak 28(Xq21 33) 27 (21%) 99 0.0119
(1.00)
0.00444
(1.00)
0.164
(1.00)
0.0901
(1.00)
0.101
(1.00)
0.00955
(1.00)
'Amp Peak 4(2q32.3) mutation analysis' versus 'CN_CNMF'

P value = 0.000238 (Fisher's exact test), Q value = 0.071

Table S1.  Gene #4: 'Amp Peak 4(2q32.3) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
AMP PEAK 4(2Q32.3) MUTATED 9 10 1
AMP PEAK 4(2Q32.3) WILD-TYPE 33 22 51

Figure S1.  Get High-res Image Gene #4: 'Amp Peak 4(2q32.3) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Amp Peak 4(2q32.3) mutation analysis' versus 'MRNASEQ_CNMF'

P value = 0.000645 (Fisher's exact test), Q value = 0.19

Table S2.  Gene #4: 'Amp Peak 4(2q32.3) mutation analysis' versus Clinical Feature #3: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 50 30 31
AMP PEAK 4(2Q32.3) MUTATED 1 9 6
AMP PEAK 4(2Q32.3) WILD-TYPE 49 21 25

Figure S2.  Get High-res Image Gene #4: 'Amp Peak 4(2q32.3) mutation analysis' versus Clinical Feature #3: 'MRNASEQ_CNMF'

'Amp Peak 5(3q26.2) mutation analysis' versus 'CN_CNMF'

P value = 1.26e-06 (Fisher's exact test), Q value = 0.00039

Table S3.  Gene #5: 'Amp Peak 5(3q26.2) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
AMP PEAK 5(3Q26.2) MUTATED 42 20 33
AMP PEAK 5(3Q26.2) WILD-TYPE 0 12 19

Figure S3.  Get High-res Image Gene #5: 'Amp Peak 5(3q26.2) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Amp Peak 6(3q28) mutation analysis' versus 'CN_CNMF'

P value = 6.37e-07 (Fisher's exact test), Q value = 2e-04

Table S4.  Gene #6: 'Amp Peak 6(3q28) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
AMP PEAK 6(3Q28) MUTATED 42 19 33
AMP PEAK 6(3Q28) WILD-TYPE 0 13 19

Figure S4.  Get High-res Image Gene #6: 'Amp Peak 6(3q28) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Amp Peak 14(11q22.1) mutation analysis' versus 'CN_CNMF'

P value = 7.38e-05 (Fisher's exact test), Q value = 0.023

Table S5.  Gene #14: 'Amp Peak 14(11q22.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
AMP PEAK 14(11Q22.1) MUTATED 4 16 7
AMP PEAK 14(11Q22.1) WILD-TYPE 38 16 45

Figure S5.  Get High-res Image Gene #14: 'Amp Peak 14(11q22.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Del Peak 1(1p36.23) mutation analysis' versus 'MIRSEQ_CHIERARCHICAL'

P value = 0.000203 (Fisher's exact test), Q value = 0.061

Table S6.  Gene #25: 'Del Peak 1(1p36.23) mutation analysis' versus Clinical Feature #6: 'MIRSEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 30 52 32
DEL PEAK 1(1P36.23) MUTATED 9 1 8
DEL PEAK 1(1P36.23) WILD-TYPE 21 51 24

Figure S6.  Get High-res Image Gene #25: 'Del Peak 1(1p36.23) mutation analysis' versus Clinical Feature #6: 'MIRSEQ_CHIERARCHICAL'

'Del Peak 5(3p11.1) mutation analysis' versus 'CN_CNMF'

P value = 0.000668 (Fisher's exact test), Q value = 0.2

Table S7.  Gene #29: 'Del Peak 5(3p11.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
DEL PEAK 5(3P11.1) MUTATED 15 22 14
DEL PEAK 5(3P11.1) WILD-TYPE 27 10 38

Figure S7.  Get High-res Image Gene #29: 'Del Peak 5(3p11.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Del Peak 6(4q22.1) mutation analysis' versus 'CN_CNMF'

P value = 1.5e-06 (Fisher's exact test), Q value = 0.00046

Table S8.  Gene #30: 'Del Peak 6(4q22.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
DEL PEAK 6(4Q22.1) MUTATED 12 21 6
DEL PEAK 6(4Q22.1) WILD-TYPE 30 11 46

Figure S8.  Get High-res Image Gene #30: 'Del Peak 6(4q22.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Del Peak 7(4q35.2) mutation analysis' versus 'CN_CNMF'

P value = 1.38e-05 (Fisher's exact test), Q value = 0.0043

Table S9.  Gene #31: 'Del Peak 7(4q35.2) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
DEL PEAK 7(4Q35.2) MUTATED 13 23 11
DEL PEAK 7(4Q35.2) WILD-TYPE 29 9 41

Figure S9.  Get High-res Image Gene #31: 'Del Peak 7(4q35.2) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Del Peak 14(10q26.3) mutation analysis' versus 'CN_CNMF'

P value = 0.000133 (Fisher's exact test), Q value = 0.04

Table S10.  Gene #38: 'Del Peak 14(10q26.3) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
DEL PEAK 14(10Q26.3) MUTATED 11 19 8
DEL PEAK 14(10Q26.3) WILD-TYPE 31 13 44

Figure S10.  Get High-res Image Gene #38: 'Del Peak 14(10q26.3) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Del Peak 19(15q15.1) mutation analysis' versus 'CN_CNMF'

P value = 2.68e-05 (Fisher's exact test), Q value = 0.0082

Table S11.  Gene #43: 'Del Peak 19(15q15.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 42 32 52
DEL PEAK 19(15Q15.1) MUTATED 7 17 5
DEL PEAK 19(15Q15.1) WILD-TYPE 35 15 47

Figure S11.  Get High-res Image Gene #43: 'Del Peak 19(15q15.1) mutation analysis' versus Clinical Feature #1: 'CN_CNMF'

'Del Peak 21(16q23.1) mutation analysis' versus 'MRNASEQ_CNMF'

P value = 0.000234 (Fisher's exact test), Q value = 0.071

Table S12.  Gene #45: 'Del Peak 21(16q23.1) mutation analysis' versus Clinical Feature #3: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 50 30 31
DEL PEAK 21(16Q23.1) MUTATED 3 9 13
DEL PEAK 21(16Q23.1) WILD-TYPE 47 21 18

Figure S12.  Get High-res Image Gene #45: 'Del Peak 21(16q23.1) mutation analysis' versus Clinical Feature #3: 'MRNASEQ_CNMF'

'Del Peak 21(16q23.1) mutation analysis' versus 'MRNASEQ_CHIERARCHICAL'

P value = 3.45e-05 (Fisher's exact test), Q value = 0.011

Table S13.  Gene #45: 'Del Peak 21(16q23.1) mutation analysis' versus Clinical Feature #4: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 11 64 36
DEL PEAK 21(16Q23.1) MUTATED 6 5 14
DEL PEAK 21(16Q23.1) WILD-TYPE 5 59 22

Figure S13.  Get High-res Image Gene #45: 'Del Peak 21(16q23.1) mutation analysis' versus Clinical Feature #4: 'MRNASEQ_CHIERARCHICAL'

'Del Peak 21(16q23.1) mutation analysis' versus 'MIRSEQ_CHIERARCHICAL'

P value = 0.000197 (Fisher's exact test), Q value = 0.06

Table S14.  Gene #45: 'Del Peak 21(16q23.1) mutation analysis' versus Clinical Feature #6: 'MIRSEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 30 52 32
DEL PEAK 21(16Q23.1) MUTATED 14 4 6
DEL PEAK 21(16Q23.1) WILD-TYPE 16 48 26

Figure S14.  Get High-res Image Gene #45: 'Del Peak 21(16q23.1) mutation analysis' versus Clinical Feature #6: 'MIRSEQ_CHIERARCHICAL'

'Del Peak 24(19p13.3) mutation analysis' versus 'MIRSEQ_CHIERARCHICAL'

P value = 3.54e-05 (Fisher's exact test), Q value = 0.011

Table S15.  Gene #48: 'Del Peak 24(19p13.3) mutation analysis' versus Clinical Feature #6: 'MIRSEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 30 52 32
DEL PEAK 24(19P13.3) MUTATED 13 5 16
DEL PEAK 24(19P13.3) WILD-TYPE 17 47 16

Figure S15.  Get High-res Image Gene #48: 'Del Peak 24(19p13.3) mutation analysis' versus Clinical Feature #6: 'MIRSEQ_CHIERARCHICAL'

Methods & Data
Input
  • Copy number data file = All Lesions File (all_lesions.conf_##.txt, where ## is the confidence level). The all lesions file is from GISTIC pipeline and 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.

  • Molecular subtype file = CESC-TP.transferedmergedcluster.txt

  • Number of patients = 126

  • Number of copy number variation regions = 52

  • Number of molecular subtypes = 6

  • Exclude regions that fewer than K tumors have alterations, K = 3

Fisher's exact test

For binary or multi-class clinical features (nominal or ordinal), two-tailed Fisher's exact tests (Fisher 1922) were used to estimate the P values using the 'fisher.test' function in R

Q value calculation

For multiple hypothesis correction, Q value is the False Discovery Rate (FDR) analogue of the P value (Benjamini and Hochberg 1995), defined as the minimum FDR at which the test may be called significant. We used the 'Benjamini and Hochberg' method of 'p.adjust' function in R to convert P values into Q values.

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] Fisher, R.A., On the interpretation of chi-square from contingency tables, and the calculation of P, Journal of the Royal Statistical Society 85(1):87-94 (1922)
[2] Benjamini and Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society Series B 59:289-300 (1995)