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High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.

ABSTRACT: High-resolution melt (HRM) analysis using 'release-on-demand' dyes, such as EvaGreen(®) has the potential to resolve complex genotypes in situations where genotype interpretation is complicated by the presence of pseudogenes or allelic variants in close proximity to the locus of interest. We explored the utility of HRM to genotype a SNP (785A>G, K262R, rs2279343) that is located within exon 5 of the CYP2B6 gene, which contributes to the metabolism of a number of clinically used drugs. Testing of 785A>G is challenging, but crucial for accurate genotype determination. This SNP is part of multiple known CYP2B6 haplotypes and located in a region that is identical to CYP2B7, a nonfunctional pseudogene. Because small CYP2B6-specific PCR amplicons bracketing 785A>G cannot be generated, we simultaneously amplified both genes. A panel of 235 liver tissue DNAs and five Coriell samples were assessed. Eight CYP2B6/CYP2B7 diplotype combinations were found and a novel variant 769G>A (D257N) was discovered. The frequency of 785G corresponded to those reported for Caucasians and African-Americans. Assay performance was confirmed by CYP2B6 and/or CYP2B7 sequence analysis in a subset of samples, using a preamplified CYP2B6-specific long-range-PCR amplicon as HRM template. Inclusion rather than exclusion of a homologous pseudogene allowed us to devise a sensitive, reliable and affordable assay to test this CYP2B6 SNP. This assay design may be utilized to overcome the challenges and limitations of other methods. Owing to the flexibility of HRM, this assay design can easily be adapted to other gene loci of interest.

SUBMITTER: Twist GP

PROVIDER: S-EPMC3866959 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.

Twist Greyson P GP Gaedigk Roger R Leeder J Steven JS Gaedigk Andrea A

Pharmacogenomics 20130601 8

High-resolution melt (HRM) analysis using 'release-on-demand' dyes, such as EvaGreen(®) has the potential to resolve complex genotypes in situations where genotype interpretation is complicated by the presence of pseudogenes or allelic variants in close proximity to the locus of interest. We explored the utility of HRM to genotype a SNP (785A>G, K262R, rs2279343) that is located within exon 5 of the CYP2B6 gene, which contributes to the metabolism of a number of clinically used drugs. Testing of ...[more]

PMID: 23746185

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Project description:AimThis study has three broad aims: to (a) develop genus-specific primers for High Resolution Melt analysis (HRM) of members of Cyclopia Vent., (b) test the haplotype discrimination of HRM compared to Sanger sequencing, and (c) provide an example of using HRM to detect novel haplotype variation in wild C. subternata Vogel. populations.LocationThe Cape Floristic Region (CFR), located along the southern Cape of South Africa.MethodsPolymorphic loci were detected through a screening process of sequencing 12 non-coding chloroplast DNA segments across 14 Cyclopia species. Twelve genus-specific primer combinations were designed around variable cpDNA loci, four of which failed to amplify under PCR; the eight remaining were applied to test the specificity, sensitivity and accuracy of HRM. The three top performing HRM Primer combinations were then applied to detect novel haplotypes in wild C. subternata populations, and phylogeographic patterns of C. subternata were explored.ResultsWe present a framework for applying HRM to non-model systems. HRM accuracy varied across the PCR products screened using the genus-specific primers developed, ranging between 56 and 100%. The nucleotide variation failing to produce distinct melt curves is discussed. The top three performing regions, having 100% specificity (i.e. different haplotypes were never grouped into the same cluster, no false negatives), were able to detect novel haplotypes in wild C. subternata populations with high accuracy (96%). Sensitivity below 100% (i.e. a single haplotype being clustered into multiple unique groups during HRM curve analysis, false positives) was resolved through sequence confirmation of each cluster resulting in a final accuracy of 100%. Phylogeographic analyses revealed that wild C. subternata populations tend to exhibit phylogeographic structuring across mountain ranges (accounting for 73.8% of genetic variation base on an AMOVA), and genetic differentiation between populations increases with distance (p < 0.05 for IBD analyses).ConclusionsAfter screening for regions with high HRM clustering specificity-akin to the screening process associated with most PCR based markers-the technology was found to be a high throughput tool for detecting genetic variation in non-model plants.

Dataset Information

High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.

Publications

High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.

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