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Development of a BRCA2 screening service –
Introduction of high resolution MELT analysis
A Grade Trainee Project
Nick Camm
Yorkshire Regional Genetics Service
Overview
• BRCA2 screening strategy• High resolution MELT analysis background• Workup of High resolution MELT analysis • Results from initial testing • Potential for screening• Conclusions
BRCA2 Screening
• BRCA2 has 27 exons and spans ~70Kb encoding a protein of 3418 amino acids.
• Current Screening Strategy in Leeds– Bi-directional sequencing of 30 amplicons – Protein truncation test for exon 11
• Proposed to reduce time and cost of screening by introducing high resolution MELT analysis
High Resolution MELT (HRM) Analysis
• HRM analysis is a rapid, closed tube method used for the detection of sequence variants
• Uses a double stranded DNA saturating dye (LCGreen) incorporated at the PCR stage
• PCR products are melted and the fluorescence measured
• Sequence variants are identified via melting curve analysis using the Light scanner (Idaho Technologies)
Which Amplicons to choose for HRM?
• Useful to have majority of samples with the same genotype– Reduces the need to confirm variants by alternative method– Amplicons with one or more common SNPs could complicate
analysis
• Assessed SNP content and frequency for BRCA2 – Ensembl database – Analysing sequence data for 95 patients from target population
30 Amplicons 12 Amplicons20 Amplicons
SNPs Present Too large
HRM Analysis Workup
• 12 BRCA2 Amplicons suitable for HRM analysis
• Optimise PCR using Lightscanner Master mix
• Presence of LCGreen raised the optimal annealing temperature ~7°C to 62°C
• Products from temperature gradient PCRs were analysed
• Screened a small panel of genomic samples of known sequence to test the ability to detect variants
62°C
HRM analysis
• Analysis of PCR products was carried out using the LightScanner® instrument from Idaho Technology
• Melt curves were obtained between 62 -95ºC
• A normalisation process is carried out on the raw curves
• The data can then be grouped according to similarity
• Viewing the data as a difference plot enables the differences in variant samples to be clearly seen
HRM analysis
• Analysis of PCR products was carried out using the LightScanner® instrument from Idaho Technology
• Melt curves were obtained between 62 -95ºC
• A normalisation process is carried out on the raw curves
• The data can then be grouped according to similarity
• Viewing the data as a difference plot enables the differences in variant samples to be clearly seen
HRM analysis
• Analysis of PCR products was carried out using the LightScanner® instrument from Idaho Technology
• Melt curves were obtained between 62 -95ºC
• A normalisation process is carried out on the raw curves
• The data can then be grouped according to similarity
• Viewing the data as a difference plot enables the differences in variant samples to be clearly seen
Results
• All variants clearly distinguishable from wild-type samples
• Wild type samples group tightly together
• Poor quality DNA samples can appear to be variants
• Sub-optimal PCR conditions prevent useful analysis
• Different sequence changes can give similar melt curves
Exon 24 – 14 wild type samples, 1 variant sample (c.9117G>A)
Exon 21 - 14 wild type samples, 1 variant sample (c.8668C>A)
Results
• All variants clearly distinguishable from wild-type samples
• Wild type samples group tightly together
• Poor quality DNA samples can appear to be variants
• Sub-optimal PCR conditions prevent useful analysis
• Different sequence changes can give similar melt curves
Exon 15 - 15 wild type samples
Exon 9 - 15 wild type samples
Results
• All variants clearly distinguishable from wild-type samples
• Wild type samples group tightly together
• Poor quality DNA samples can appear to be variants
• Sub-optimal PCR conditions prevent useful analysis
• Different sequence changes can give similar melt curves
Exon 5&6 - 15 wild type samples
Sample was nanodropped and found to have absorbance ratio’s indicative of a poor quality sample.
Results
• All variants clearly distinguishable from wild-type samples
• Wild type samples group tightly together
• Poor quality DNA samples can appear to be variants
• Sub-optimal PCR conditions prevent useful analysis
• Different sequence changes can give similar melt curves
Exon 26 - 15 wild type samples
Exon 26
Results
• All variants clearly distinguishable from wild-type samples
• Wild type samples group tightly together
• Poor quality DNA samples can appear to be variants
• Sub-optimal PCR conditions prevent useful analysis
• Different sequence changes can give similar melt curves
Exon 23 - 13 wild type samples + 2 variant samples
Variants c.9038C>T and c.9117G>A Gave indistinguishable melt profiles
Blind screening
• A panel of 45 genomic samples were analysed blind for the 11 optimised amplicons
• results compared to those obtained by direct sequencing
Melt curves analysed
Variants detected
False positives
False negatives
Sensitivity Specificity
451 3 4 0 100% 99.11%
4 samples were discounted from the analysis either due to poor quality or lack of sequencing results
Conclusions• HRM analysis could be used as a reliable mutation scanning
method for ~1/3 of BRCA2 amplicons screened in Leeds• Up to 2/3 of BRCA2 could be screened by HRM analysis • HRM is quicker and cheaper than sequencing analysis
– Time to process a 96 well plate • Sequencing ~11 hours• HRM analysis ~3 hours
– Approximately 1/3 of the cost of bi-directional sequencing
• Good quality genomic DNA sample is essential• Fully optimised PCR is required • Sequencing of any variants must be carried out to confirm result• HRM analysis could potentially be used as a mutation scanning
technique for many genes currently screened by sequencing
Acknowledgements
• Yorkshire Regional DNA Laboratory– Ruth Charlton
– Rachel Robinson
– Teresa Patrick
• Cancer Research UK (Leeds)– Claire Taylor
– Graham Taylor
• Wessex National Genetics Reference laboratory– Helen White