Literature DB >> 17872427

Comment on "The consensus coding sequences of human breast and colorectal cancers".

William F Forrest1, Guy Cavet.   

Abstract

Sjöblom et al. (Research Articles, 13 October 2006, p. 268) used data from cancer genome resequencing to identify genes with elevated mutation rates. Their analysis used point probabilities when it should have used P values for the hypotheses they intended to test. Reimplementing their analysis method with exact P values results in far fewer genes with mutation rates that achieve statistical significance.

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Year:  2007        PMID: 17872427     DOI: 10.1126/science.1138179

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  25 in total

1.  Germline PKHD1 mutations are protective against colorectal cancer.

Authors:  Christopher J Ward; Yanhong Wu; Ruth A Johnson; John R Woollard; Eric J Bergstralh; Mine S Cicek; Jason Bakeberg; Sandro Rossetti; Christina M Heyer; Gloria M Petersen; Noralene M Lindor; Stephen N Thibodeau; Peter C Harris; Vicente E Torres; Marie C Hogan; Lisa A Boardman
Journal:  Hum Genet       Date:  2011-01-28       Impact factor: 4.132

2.  PathScan: a tool for discerning mutational significance in groups of putative cancer genes.

Authors:  Michael C Wendl; John W Wallis; Ling Lin; Cyriac Kandoth; Elaine R Mardis; Richard K Wilson; Li Ding
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

3.  A novel missense-mutation-related feature extraction scheme for 'driver' mutation identification.

Authors:  Hua Tan; Jiguang Bao; Xiaobo Zhou
Journal:  Bioinformatics       Date:  2012-10-07       Impact factor: 6.937

Review 4.  Evolution of the cancer genome.

Authors:  Ondrej Podlaha; Markus Riester; Subhajyoti De; Franziska Michor
Journal:  Trends Genet       Date:  2012-02-16       Impact factor: 11.639

5.  Mutation patterns in cancer genomes.

Authors:  Alan F Rubin; Phil Green
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-07       Impact factor: 11.205

6.  Discovering tumor suppressor genes through genome-wide copy number analysis.

Authors:  S Michael Rothenberg; Jeff Settleman
Journal:  Curr Genomics       Date:  2010-08       Impact factor: 2.236

Review 7.  Cancer driver mutations in protein kinase genes.

Authors:  Ali Torkamani; Gennady Verkhivker; Nicholas J Schork
Journal:  Cancer Lett       Date:  2008-12-10       Impact factor: 8.679

8.  Anticancer activity of the cholesterol exporter ABCA1 gene.

Authors:  Bradley Smith; Hartmut Land
Journal:  Cell Rep       Date:  2012-09-13       Impact factor: 9.423

Review 9.  Common vs. rare allele hypotheses for complex diseases.

Authors:  Nicholas J Schork; Sarah S Murray; Kelly A Frazer; Eric J Topol
Journal:  Curr Opin Genet Dev       Date:  2009-05-28       Impact factor: 5.578

Review 10.  Analytical methods for inferring functional effects of single base pair substitutions in human cancers.

Authors:  William Lee; Peng Yue; Zemin Zhang
Journal:  Hum Genet       Date:  2009-05-12       Impact factor: 4.132

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