Stargazer: a software tool for calling star alleles from next-generation sequencing data using CYP2D6 as a model.

PURPOSE: Genotyping CYP2D6 is important for precision drug therapy because the enzyme it encodes metabolizes approximately 25% of drugs, and its activity varies considerably among individuals. Genotype analysis of CYP2D6 is challenging due to its highly polymorphic nature. Over 100 haplotypes (star alleles) have been defined for CYP2D6, some involving a gene conversion with its nearby nonfunctional but highly homologous paralog CYP2D7. We present Stargazer, a new bioinformatics tool that uses next-generation sequencing (NGS) data to call star alleles for CYP2D6 ( https://stargazer.gs.washington.edu/stargazerweb/ ). Stargazer is currently being extended for other pharmacogenes. METHODS: Stargazer identifies star alleles from NGS data by detecting single nucleotide variants, insertion-deletion variants, and structural variants. Stargazer detects structural variation, including gene deletions, duplications, and conversions, by calculating paralog-specific copy numbers from read depths. RESULTS: We applied Stargazer to the NGS data of 32 ethnically diverse HapMap trios that were genotyped by TaqMan assays, long-range polymerase chain reaction, quantitative multiplex polymerase chain reaction, high-resolution melting analysis, and/or Sanger sequencing. CYP2D6 genotyping by Stargazer was 99.0% concordant with the data obtained by these methods, and showed that 28.1% of the samples had structural variation including CYP2D6/CYP2D7 hybrids. CONCLUSION: Accurate genotyping of pharmacogenes with NGS and subsequent allele calling with Stargazer will aid the implementation of precision drug therapy.

CYP2D6 allele frequencies, copy number variants, and tandems in the population of Hong Kong.

BACKGROUND: CYP2D6 plays a crucial role in drug metabolism of several drugs. It is known to be highly polymorphic with enzymatic activity ranging from poor to ultrarapid metabolic rates. While the frequencies of CYP2D6 alleles are generally known in different Asian populations, data on frequencies of the copy number variations (CNV) and tandems in CYP2D6 in which they occur are less well studied in these populations. METHODS: A cohort of 800 consecutive, unrelated individuals were referred to Prenetics Limited (Prenetics) iGenes test by physicians in Hong Kong as part of their care with informed consent. These clinical samples were deidentified prior to further analysis. Genotyping and copy number determination of CYP2D6 were performed using target specific TaqMan® SNP genotyping and copy number assays. The phenotypes of CYP2D6 were predicted based on its genotypes and is dependent on the biallelic expression of alleles. RESULTS: Among the Asian group (n = 735, 92%), the observed frequency of CYP2D6*36-*10 tandems was 34.1%. We also identified duplication of CYP2D6 alleles in 86 (11.7%) individuals of the study cohort. The frequency of all CYP2D6 duplicated alleles was 154 (10.5%) while only 28 (1.9%) of the duplications were of functional alleles (ie CYP2D6*1 and CYP2D6*2). CONCLUSION: The present study provides a comprehensive analysis on the occurrences of CNV and tandems of the CYP2D6 gene in the Hong Kong population. The results contribute to the overall knowledge of pharmacogenomics and may accelerate the implementation of precision medicine in Asia.

Clinical Utility and Economic Impact of CYP2D6 Genotyping.

Pharmacogenetics examines an individual's genetic makeup to help predict the safety and efficacy of medications. Practical application optimizes treatment selection to decrease the failure rate of medications and improve clinical outcomes. Lack of efficacy is costly due to adverse drug reactions and increased hospital stays. Cytochrome P450 2D6 (CYP2D6) metabolizes roughly 25% of all drugs. Detecting variants that cause altered CYP2D6 enzymatic activity identifies patients at risk of adverse drug reactions or therapeutic failure with standard dosages of medications metabolized by CYP2D6. This article discusses the clinical application of pharmacogenetics to improve care and decrease costs.

Direct assessment of cytochrome P450 2D6 genotypes by high-resolution melting analysis and DNA sequencing.

We developed a CYP2D6 genotyping method that required only one polymerase chain reaction (PCR) followed by a high-resolution melting curve analysis (HRM) and DNA sequencing. DNA was extracted from peripheral blood samples obtained from 100 normal individuals. From the HRM analysis using three fragments of amplicons (exons 1, 6, and 9), we successfully identified four common CYP2D6 gene polymorphisms (100C>T, 2850C>T, 2988G>A, and 4180G>C). Exons 3 and 7 were also screened by HRM analysis. The heteroduplexes, wild-type homoduplexes, and homoduplexes of compound mutations showed distinct melting plots. The other four exons (exons 2, 4, 5, and 8) were directly analyzed by DNA sequencing. In conclusion, we developed an HRM and DNA sequencing based method to assess the CYP2D6 gene directly without the need for nested PCR. This method is quick and cost-effective; it reduces the chance of PCR contamination and is suitable for clinical application.

The Impact of CYP2D6 Genotyping on Tamoxifen Treatment.

Tamoxifen remains a cornerstone of treatment for patients with oestrogen-receptor-positive breast cancer. Tamoxifen efficacy depends on the biotransformation, predominantly via the cytochrome P450 2D6 (CYP2D6) isoform, to the active metabolite endoxifen. Both genetic and environmental (drug-induced) factors may alter CYP2D6 enzyme activity directly affecting the concentrations of active tamoxifen metabolites. Several studies suggest that germline genetic variants in CYP2D6 influence the clinical outcomes of patients treated with adjuvant tamoxifen. Here, we review the existing data relating CYP2D6 genotypes to tamoxifen efficacy.