Literature DB >> 12490761

Mapping genetic alterations in tumors with single nucleotide polymorphisms.

Wei Zhou1.   

Abstract

Single nucleotide polymorphisms are the most abundant genetic markers in the human genome whose analyses can be easily conducted on a large scale. Most established methods for high-throughput single nucleotide polymorphism analyses are qualitative and are not suitable for genetic analysis of archived tumor specimens, which have compromised tissue integrity and normal tissue contaminations. Recent studies have focused on the development of quantitative methods for single nucleotide polymorphism analyses that can tolerate such imperfections in archived tissues. These methods have been used to measure the rate of allelic imbalance in small adenocarcinomas and to reveal novel correlations between allelic imbalance and disease progression in colorectal cancer. Therefore, quantitative single nucleotide polymorphism analysis provides a powerful tool for the identification of novel tumor markers and for the characterization of genetic alterations in human tumors.

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Year:  2003        PMID: 12490761     DOI: 10.1097/00001622-200301000-00007

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  3 in total

1.  DNA base mismatch detection with bulky rhodium intercalators: synthesis and applications.

Authors:  Brian M Zeglis; Jacqueline K Barton
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

2.  Allelic imbalances of chromosomes 8p and 18q and their roles in distant relapse of early stage, node-negative breast cancer.

Authors:  Aki Morikawa; Tanisha Y Williams; Luc Dirix; Cecile Colpaert; Michael Goodman; Robert H Lyles; Diansheng Zhong; Wei Zhou
Journal:  Breast Cancer Res       Date:  2005-11-02       Impact factor: 6.466

3.  Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets.

Authors:  Ryoichi Kinoshita; Mitsuo Iwadate; Hideaki Umeyama; Y-h Taguchi
Journal:  BMC Syst Biol       Date:  2014-01-24
  3 in total

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