TABLE 3 

From the following article:

Patterns of somatic mutation in human cancer genomes

Christopher Greenman, Philip Stephens, Raffaella Smith, Gillian L. Dalgliesh, Christopher Hunter, Graham Bignell, Helen Davies, Jon Teague, Adam Butler, Claire Stevens, Sarah Edkins, Sarah O'Meara, Imre Vastrik, Esther E. Schmidt, Tim Avis, Syd Barthorpe, Gurpreet Bhamra, Gemma Buck, Bhudipa Choudhury, Jody Clements, Jennifer Cole, Ed Dicks, Simon Forbes, Kris Gray, Kelly Halliday, Rachel Harrison, Katy Hills, Jon Hinton, Andy Jenkinson, David Jones, Andy Menzies, Tatiana Mironenko, Janet Perry, Keiran Raine, Dave Richardson, Rebecca Shepherd, Alexandra Small, Calli Tofts, Jennifer Varian, Tony Webb, Sofie West, Sara Widaa, Andy Yates, Daniel P. Cahill, David N. Louis, Peter Goldstraw, Andrew G. Nicholson, Francis Brasseur, Leendert Looijenga, Barbara L. Weber, Yoke-Eng Chiew, Anna deFazio, Mel F. Greaves, Anthony R. Green, Peter Campbell, Ewan Birney, Douglas F. Easton, Georgia Chenevix-Trench, Min-Han Tan, Sok Kean Khoo, Bin Tean Teh, Siu Tsan Yuen, Suet Yi Leung, Richard Wooster, P. Andrew Futreal and Michael R. Stratton

Nature 446, 153-158(8 March 2007)

doi:10.1038/nature05610

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Table 3. Protein kinase genes ranked by probability of carrying at least one driver mutation, conditional on the gene-specific selection pressures..

Figures & Tables index
GeneRanking (95% confidence interval)Selection pressureNumber ofnon-synonymous mutations

The top 20 protein kinase genes are shown. See Supplementary Information for the ranking and selection pressures for all 518 genes.

TTN1 (1–3)2.03663
BRAF2 (1–67)8.3628
ATM3 (2–150)2.92010
TAF1L4 (2–145)3.5888
ERN15 (2–151)4.5386
MAP2K46 (2–156)8.6654
CHUK7 (2–205)5.3925
FGFR28 (2–210)5.0965
NTRK39 (2–518)4.8085
MGC4210510 (2–170)7.0974
TGFBR211 (2–187)5.8774
EPHA612 (3–518)3.9495
FLJ2307413 (3–193)5.4034
ITK14 (3–203)4.8874
DCAMKL315 (3–204)4.7144
STK1116 (3–518)7.1603
PAK717 (3–518)4.2154
STK618 (3–518)6.0183
BRD219 (4–518)3.7734
RPS6KA220 (4–518)3.7224
Figures & Tables index
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