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Published online 26 March 2004

Nucleic Acids Research, 2004, Vol. 32, No. 6 e55
© 2004 Oxford University Press

Locked nucleic acid (LNA) single nucleotide polymorphism (SNP) genotype analysis and validation using real-time PCR

Matthew P. Johnson, Larisa M. Haupt and Lyn R. Griffiths*

Genomics Research Centre, School of Health Science, Griffith University Gold Coast, PMB 50, Gold Coast Mail Centre, QLD 9726, Australia

*To whom correspondence should be addressed. Tel: +61 7 5552 8664; Fax: +61 7 5552 9081; Email: l.griffiths{at}griffith.edu.au

Received December 18, 2003; Revised and Accepted February 23, 2004

With an increased emphasis on genotyping of single nucleotide polymorphisms (SNPs) in disease association studies, the genotyping platform of choice is constantly evolving. In addition, the development of more specific SNP assays and appropriate genotype validation applications is becoming increasingly critical to elucidate ambiguous genotypes. In this study, we have used SNP specific Locked Nucleic Acid (LNA) hybridization probes on a real-time PCR platform to genotype an association cohort and propose three criteria to address ambiguous genotypes. Based on the kinetic properties of PCR amplification, the three criteria address PCR amplification efficiency, the net fluorescent difference between maximal and minimal fluorescent signals and the beginning of the exponential growth phase of the reaction. Initially observed SNP allelic discrimination curves were confirmed by DNA sequencing (n = 50) and application of our three genotype criteria corroborated both sequencing and observed real-time PCR results. In addition, the tested Caucasian association cohort was in Hardy-Weinberg equilibrium and observed allele frequencies were very similar to two independently tested Caucasian association cohorts for the same tested SNP. We present here a novel approach to effectively determine ambiguous genotypes generated from a real-time PCR platform. Application of our three novel criteria provides an easy to use semi-automated genotype confirmation protocol.


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