Development of a High-Resolution Melting Analysis Method for CVP2C19*17 Genotyping in Healthy Volunteers.

Background: Genetic polymorphisms of drug metabolisms by cytochrome P450 (P450s) could affect drug response, attracting particular interest in the pharmacogenetics. Due to the importance of CYP2C19* 17 allele and its capability of super- fast metabolism and also lack of information about distribution of the alleles in Iranian population, this research aimed to use High Resolution Melting (HRM) method compared to PCR-RFLP for genotyping healthy Iranian population. Methods: Blood samples were collected from 100 healthy Iranian volunteers. DNA was extracted by salting out method. Real-time PCR was used for amplification of the CYP2C19 gene and the alleles were identified by HRM. Sequencing was used to confirm the amplified DNA fragments and data were analyzed using SPSS software ver.18. Results: The frequency of alleles CYP2C19*1/*1, CYP2C19*1/*17 and CYP2C19*17/*17 were estimated as 58.33, 29.1 and 11.1%, respectively. Specificity and sensitivity of HRM method were 90% and 100%, with respect to PCR-RFLP. Also, HRM analysis has been evaluated as a faster and more effective approach. Conclusion: Comparison of our results based on HRM analysis with PCR-RFLP showed that our developed method is rapid, accurate, fast and economic to study the CYP2C19*17 allele and it is appropriate for other similar population genetic studies. [ABSTRACT FROM AUTHOR]