High throughput DNA sequence variant detection by conformation sensitive capillary electrophoresis and automated peak comparison

Helen Davies, Ed Dicks, Philip Stephens, Charles Cox, Jon Teague, Chris Greenman, Graham Bignell, Sarah O'Meara, Sarah Edkins, Adrian Parker, Claire Stevens, Andrew Menzies, Matt Blow, Bill Bottomley, Mark Dronsfield, P. Andrew Futreal, Michael R. Stratton, Richard Wooster

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

We report the development of a heteroduplex-based mutation detection method using multicapillary automated sequencers, known as conformation-sensitive capillary electrophoresis (CSCE). Our optimized CSCE protocol detected 93 of 95 known base substitution sequence variants. Since the optimization of the method, we have analyzed 215 Mb of DNA and identified 3397 unique variants. An analysis of this data set indicates that the sensitivity of CSCE is above 95% in the central 56% of the average PCR product. To fully exploit the mutation detection capacity of this method, we have developed software, canplot, which automatically compares normal and test results to prioritize samples that are most likely to contain variants. Using multiple fluorescent dyes, CSCE has the capacity to screen over 2.2 Mb on one ABI3730 each day. Therefore this technique is suitable for projects where a rapid and sensitive DNA mutation detection system is required.

Original languageEnglish (US)
Pages (from-to)427-432
Number of pages6
JournalGenomics
Volume87
Issue number3
DOIs
StatePublished - Mar 2006
Externally publishedYes

Keywords

  • DNA sequencing
  • Heteroduplex
  • Mutation detection
  • Single-stranded confirmation polymorphism (SSCP)

ASJC Scopus subject areas

  • Genetics

Fingerprint

Dive into the research topics of 'High throughput DNA sequence variant detection by conformation sensitive capillary electrophoresis and automated peak comparison'. Together they form a unique fingerprint.

Cite this