Literature DB >> 16239245

Polymorphism discovery in 51 chemotherapy pathway genes.

Robert R Freimuth1, Ming Xiao, Sharon Marsh, Matthew Minton, Nicholas Addleman, Derek J Van Booven, Howard L McLeod, Pui-Yan Kwok.   

Abstract

Candidate gene pharmacogenetic studies offer a strategy for the rapid assessment of putative predictive markers. As a first step toward studying the pharmacogenetics of cancer chemotherapy, 51 candidate genes from the pathways of antineoplastic agents were resequenced to identify common genetic polymorphisms that might alter therapeutic response or toxicity. Forty DNA samples were screened from each of three population groups: African-Americans, Asian-Americans and European-Americans. Nearly 378 kb of genomic sequence was obtained from each sample. Nine hundred and four variants were identified, including 139 coding single nucleotide polymorphisms (cSNPs). Three hundred and fifty-six (40%) polymorphisms were common to all three populations and 366 (41%) were population specific. Three hundred and forty-six (38%) variants were novel polymorphisms that were not present in the three public databases that were examined. One hundred and eleven (35%) of the 319 non-synonymous cSNPs that were identified by either resequencing or database mining were predicted by PolyPhen to be either possibly or probably damaging. For the non-synonymous cSNPs identified by resequencing, both the number of cSNPs found and the maximum estimated allele frequency decreased with increasing predicted severity. These results provide experimental validation and estimated allele frequencies for polymorphisms in three common ethnic groups and facilitate applied pharmacogenetic studies of anticancer drugs.

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Year:  2005        PMID: 16239245     DOI: 10.1093/hmg/ddi387

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  7 in total

Review 1.  The pharmacogenetics research network: from SNP discovery to clinical drug response.

Authors:  K M Giacomini; C M Brett; R B Altman; N L Benowitz; M E Dolan; D A Flockhart; J A Johnson; D F Hayes; T Klein; R M Krauss; D L Kroetz; H L McLeod; A T Nguyen; M J Ratain; M V Relling; V Reus; D M Roden; C A Schaefer; A R Shuldiner; T Skaar; K Tantisira; R F Tyndale; L Wang; R M Weinshilboum; S T Weiss; I Zineh
Journal:  Clin Pharmacol Ther       Date:  2007-03       Impact factor: 6.875

2.  Ethnicity-specific pharmacogenetics: the case of warfarin in African Americans.

Authors:  W Hernandez; E R Gamazon; K Aquino-Michaels; S Patel; T J O'Brien; A F Harralson; R A Kittles; A Barbour; M Tuck; S D McIntosh; J N Douglas; D Nicolae; L H Cavallari; M A Perera
Journal:  Pharmacogenomics J       Date:  2013-09-10       Impact factor: 3.550

Review 3.  DNA damage response pathways and cell cycle checkpoints in colorectal cancer: current concepts and future perspectives for targeted treatment.

Authors:  S Solier; Y-W Zhang; A Ballestrero; Y Pommier; G Zoppoli
Journal:  Curr Cancer Drug Targets       Date:  2012-05       Impact factor: 3.428

4.  Identification of NR1I2 genetic variation using resequencing.

Authors:  Cristi R King; Ming Xiao; Jinsheng Yu; Matthew R Minton; Nicholas J Addleman; Derek J Van Booven; Pui-Yan Kwok; Howard L McLeod; Sharon Marsh
Journal:  Eur J Clin Pharmacol       Date:  2007-04-03       Impact factor: 2.953

5.  Warfarin pharmacogenetics: an illustration of the importance of studies in minority populations.

Authors:  M A Perera; L H Cavallari; J A Johnson
Journal:  Clin Pharmacol Ther       Date:  2014-03       Impact factor: 6.875

6.  Establishment of a pipeline to analyse non-synonymous SNPs in Bos taurus.

Authors:  Michael A Lee; Orla M Keane; Belinda C Glass; Tim R Manley; Neil G Cullen; Ken G Dodds; Alan F McCulloch; Chris A Morris; Mark Schreiber; Jonathan Warren; Amonida Zadissa; Theresa Wilson; John C McEwan
Journal:  BMC Genomics       Date:  2006-11-26       Impact factor: 3.969

7.  SNAP: predict effect of non-synonymous polymorphisms on function.

Authors:  Yana Bromberg; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2007-05-25       Impact factor: 16.971

  7 in total

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