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  • 简介:AbstractObjective:Second-generation antipsychotics are widely used in mental illness, but the treatment effects and side effects are affected by single nucleotide polymorphisms (SNPs) of related genes. Quetiapine and aripiprazole are two frequently used secondgeneration antipsychotic drugs. The aim of this study was to develop two different SNP detection methods for four SNP alleles associated with the pharmacokinetics of quetiapine and aripiprazole, based on high-resolution melting (HRM) and multicolor melting curve assay (MMCA) respectively.Methods:Whole genome DNA samples were obtained from 240 healthy people (107 females and 133 males) without genetic diseases. HRM methods were established using four kinds of specific primers and a saturated fluorescent dye. Each SNP allele with their own primers was detected in a single reaction. In the MMCA method, a multiplex polymerase chain reaction with 4 different-colored fluorescent probes was established to detect four SNP alleles in a single reaction. All experimental protocols were approved by the Ethics Committee of the Shanghai Children’s Medical Center, China (SCMC-201015) on November 22, 2010.Results:Two detection methods for the pharmacogenomics of quetiapine and aripiprazole, based on HRM and MMCA respectively, were established in this study. The single-target HRM method can be completed in 96 minutes, whereas the quadruplex MMCA method takes 133 minutes. It was found that the results of HRM and MMCA for the four SNP alleles had 100% coincidence with Sanger sequencing in the 240 samples.Conclusion:This study developed two methods for the detection of four pharmacogenomic SNP alleles that correlated with quetiapine and aripiprazole. Both methods are rapid, cost-saving, highly accurate and potentially facilitate rational use of second-generation antipsychotics for clinical medication.

  • 标签: high-resolution melting multicolor melting curve assay pharmacogenomics second-generation antipsychotics SNP