Literature DB >> 9793653

PCR bias toward the wild-type k-ras and p53 sequences: implications for PCR detection of mutations and cancer diagnosis.

R Barnard1, V Futo, N Pecheniuk, M Slattery, T Walsh.   

Abstract

PCR-based cancer diagnosis requires detection of rare mutations in k-ras, p53 or other genes. The assumption has been that mutant and wild-type sequences amplify with near equal efficiency, so that they are eventually present in proportions representative of the starting material. Work on factor IX suggests that this assumption is invalid for one case of near-sequence identity. To test the generality of this phenomenon and its relevance to cancer diagnosis, primers distant from point mutations in p53 and k-ras were used to amplify wild-type and mutant sequences from these genes. A substantial bias against PCR amplification of mutants was observed for two regions of the p53 gene and one region of k-ras. For k-ras and p53, bias was observed when the wild-type and mutant sequences were amplified separately or when mixed in equal proportions before PCR. Bias was present with proofreading and non-proofreading polymerases. Mutant and wild-type segments of the factor V, cystic fibrosis transmembrane conductance regulator and prothrombin genes were amplified and did not exhibit PCR bias. Therefore, the assumption of equal PCR efficiency for point mutant and wild-type sequences is invalid in several systems. Quantitative or diagnostic PCR will require validation for each locus, and enrichment strategies may be needed to optimize detection of mutants.

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Year:  1998        PMID: 9793653     DOI: 10.2144/98254dt08

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  16 in total

1.  Precise estimation of allele frequencies of single-nucleotide polymorphisms by a quantitative SSCP analysis of pooled DNA.

Authors:  T Sasaki; T Tahira; A Suzuki; K Higasa; Y Kukita; S Baba; K Hayashi
Journal:  Am J Hum Genet       Date:  2000-11-14       Impact factor: 11.025

2.  Direct genetic analysis by matrix-assisted laser desorption/ionization mass spectrometry.

Authors:  T J Griffin; J G Hall; J R Prudent; L M Smith
Journal:  Proc Natl Acad Sci U S A       Date:  1999-05-25       Impact factor: 11.205

3.  Evaluation of temperature gradient capillary electrophoresis for detection of the Factor V Leiden mutation: coincident identification of a novel polymorphism in Factor V.

Authors:  Kathleen Murphy; Michael Hafez; Juliet Philips; Kellie Yarnell; Kevin Gutshall; Karin Berg
Journal:  Mol Diagn       Date:  2003

4.  Pseudogene: lessons from PCR bias, identification and resurrection.

Authors:  Shan-Min Chen; Ka-Yan Ma; Jin Zeng
Journal:  Mol Biol Rep       Date:  2010-11-30       Impact factor: 2.316

5.  Quantification of low concentrations of DNA using single molecule detection and velocity measurement in a microchannel.

Authors:  Shu-Yi Chao; Yi-Ping Ho; Vasudev J Bailey; Tza-Huei Wang
Journal:  J Fluoresc       Date:  2007-07-27       Impact factor: 2.217

6.  Quantification of PCR bias caused by a single nucleotide polymorphism in SMN gene dosage analysis.

Authors:  Shuji Ogino; Robert B Wilson
Journal:  J Mol Diagn       Date:  2002-11       Impact factor: 5.568

7.  Improving the detection of p53 mutations in breast cancer by use of the FASAY, a functional assay.

Authors:  P M Duddy; A M Hanby; D M Barnes; R S Camplejohn
Journal:  J Mol Diagn       Date:  2000-08       Impact factor: 5.568

8.  Haplotyping and copy number estimation of the highly polymorphic human beta-defensin locus on 8p23 by 454 amplicon sequencing.

Authors:  Stefan Taudien; Marco Groth; Klaus Huse; Andreas Petzold; Karol Szafranski; Jochen Hampe; Philip Rosenstiel; Stefan Schreiber; Matthias Platzer
Journal:  BMC Genomics       Date:  2010-04-19       Impact factor: 3.969

Review 9.  K-Ras mutations and benign pancreatic disease.

Authors:  M Löhr; P Maisonneuve; A B Lowenfels
Journal:  Int J Pancreatol       Date:  2000-04

10.  Amplification-free Illumina sequencing-library preparation facilitates improved mapping and assembly of (G+C)-biased genomes.

Authors:  Iwanka Kozarewa; Zemin Ning; Michael A Quail; Mandy J Sanders; Matthew Berriman; Daniel J Turner
Journal:  Nat Methods       Date:  2009-03-15       Impact factor: 28.547

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