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. 2016 Jul 15;7:12096. doi: 10.1038/ncomms12096

Table 1. Prominent methods for cancer gene discovery by somatic exome analysis.

Method Data type (method)* Analysis principle No. tissue cohorts (no. patients) Total genes identified Genes non-unique/unique to method CGC non-unique/unique to method Ref.
MAIN-METHODS
 MutSig Suite SNV (WES) Combined (frequency, function, clustering) 21 (4,742) 260 191/69 98/7 9,18
 OncodriverFM SNV (WES) Function 28 (6,792) 426 281/145 127/31 29
 OncodriverCL SNV (WES) Clustering 28 (6,792) 79 72/7 52/2 30
 ActiveDriver SNV (WES) Clustering (+phos-associated mutations) 12 (3,205) 106 74/32 30/5 15,17
 MuSIC SNV (WES) Combined (frequency, function, clustering, correlation with clinical phenotype) 12 (3,205) 182 141/41 81/3 13,15
               
ALT-METHODS              
 Gistic2.0—amplifications CNV (SNP6) Frequency 34 (10,752) 1,569 432/1137 53/21 14
 Gistic2.0—deletions CNV (SNP6) Frequency 34 (10,752) 6,897 671/6226 98/65 14
 IntOGen—CNV CNV (SNP6) Frequency+RNA expression 16 (4,068) 29 28/1 25/0 16
 Dendrix SNV (WES) Mutual exclusivity 12 (3,281) 17 28/2 23/1 32
 HotNet2 SNV+CNV (WES+SNP6) Network 12 (3,281) 147 96/51 43/0 31
 Fusion/translocations FUS (RNA-seq) Recurrent fusions 13 (4,366) 492 236/256 41/18 33
    TOTALS: 42 8,871 906/7,967 175/153  

*Data types: CNV, copy number variant; FUS, gene fusion; SNV, single nucleotide variant. Methods: RNA-seq, RNA sequencing; SNP6, affymetrix SNP array; WES, whole-exome sequencing.

Number of genes identified within the CGC-positive reference set.