| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Published online before print July 30, 2009
| |||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical Advances |
From the Centre for Medical Genetics, Ghent University Hospital, Ghent, Belgium
We previously validated mutation scanning for BRCA1 and 2 using high-resolution melting curve analysis (HRMCA). Due to recurrent single nucleotide polymorphisms (SNPs), a considerable amount of sequencing work remains after HRMCA, as melting curves for SNPs and deleterious mutations may be similar. Here, we present a simple approach for the optimization of SNP genotyping with HRMCA using unlabeled probes. Protocols were optimized for 14 frequent SNPs in BRCA1 and 2. Two probes contained an additional mismatch to detect a rare polymorphism a few nucleotides upstream. PCR was performed in the presence of LCgreenPlus and analyzed on a Lightscanner. Genotyping assays were optimized with five wild-type, heterozygous, and homozygous mutant samples. Sensitivity and specificity of the assays were evaluated with a blind screening of 95 samples. All unlabeled probes correctly genotyped the SNPs. A 1:5 asymmetric primer ratio produced sufficient probe-strand duplexes to accurately genotype the SNP of interest. The most important parameter to optimize was the number of PCR cycles. By complementing our BRCA1/2 HRMCA with 14 unlabeled probe assays, we reduced the sequencing burden by three-fold. Our simple approach for optimization can be used as a blueprint to design genotyping assays for other genes. This is one of the largest studies reported to date and the first that presents an approach combining genotyping and mutation scanning of two large polymorphic genes.
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
