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PMID: 16182268 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

The use of real-time PCR methods in DNA sequence variation analysis.

Clinica chimica acta; international journal of clinical chemistry ·Vol. 363 ·No. 1-2 ·2006-01-00 ·Pages 32-47

Gibson NJ

Abstract

Real-time (RT) PCR methods for discovering and genotyping single nucleotide polymorphisms (SNPs) are becoming increasingly important in various fields of biological sciences. SNP genotyping is widely used to perform genetic association studies aimed at characterising the genetic factors underlying inherited traits. The detection and quantification of somatic mutations is an important tool for investigating the genetic causes of tumorigenesis. In infectious disease diagnostics there is an increasing emphasis placed on genotyping variation within the genomes of pathogenic organisms in order to distinguish between strains. There are several platforms and methods available to the researcher wishing to undertake SNP analysis using real-time PCR methods. These use fluorescent technologies for discriminating between the alternate alleles of a polymorphism. There are several real-time PCR platforms currently on the market. Two of the key technical challenges are allele discrimination and allele quantification. Applications of this technology include SNP genotyping, the sensitive detection of somatic mutations and infectious disease subtyping.

MeSH Terms
Animals DNA Mutational Analysis/methods Genotype Humans Mutation Polymerase Chain Reaction/methods Polymorphism, Single Nucleotide Reproducibility of Results Sequence Analysis, DNA/methods
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Gibson Neil J
R&D Genetics, AstraZeneca Pharmaceuticals, 19G9 Mereside, Macclesfield, Cheshire, UK. [email protected]
Article Info
Journal
Clinica chimica acta; international journal of clinical chemistry
Abbr.
Clin Chim Acta
ISSN
0009-8981
Published
2006-01-00
Epub
2005-00-22
Pages
32-47
Language
English
Region
Netherlands
NLM ID
1302422
Subset
IM
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