Avoidable drug-gene conflicts and polypharmacy interactions in patients participating in a personalized medicine program.

AIM: Determine the ability of a pharmacogenetic service, PRIMER, to identify drug-gene (DGI) and drug-drug interactions (DDI) in patients across multiple conditions. PRIMER consists of patient selection criteria, a gene panel and actionable guidance for DGIs and DDIs. RESULTS: The average patient was prescribed 12 medications. PRIMER identified significant DGIs in 73% of patients tested, with 43% having more than one DGI. DDIs were found in 87% of patients. The most common actionable DGIs were for opioid, psychotropic and cardiovascular medications. CONCLUSION: The pairing of patient selection criteria, a multigene panel with evidence-based interpretation and review of DDIs maximizes the patients tested who have actionable benefit and alerts physicians to potentially critical adjustments needed for the patient's medication regimen.

Pharmacogenomics in Psychiatric Practice.

Pharmacogenomic testing in psychiatry is becoming an established clinical procedure. Several vendors provide clinical interpretation of combinatorial pharmacogenomic testing of gene variants that have documented predictive implications regarding either pharmacologic response or adverse effects in depression and other psychiatric conditions. Such gene profiles have demonstrated improvements in outcome in depression, and reduction of cost of care of patients with inadequate clinical response. Additionally, several new gene variants are being studied to predict specific response in individuals. Many of these genes have demonstrated a role in the pathophysiology of depression or specific depressive symptoms. This article reviews the current state-of-the-art application of psychiatric pharmacogenomics.

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.

The Pharmacist's Perspective on Pharmacogenetics Implementation.

The future for pharmacogenetics will continue to expand. Pharmacists can apply and incorporate drug knowledge in collaboration with other health providers using pharmacogenetics. Patients benefit with enhanced therapeutic outcomes that could lead to more streamlined drug approaches, fewer follow-up visits, cost savings, and shorter times to achieve therapeutic outcomes. As more drug-gene pathways are discovered and use of this knowledge increases, the potential for algorithm development for medication use will occur, resulting in better patient outcomes, higher standard of care, and reflect evidence-based medicine.

Prospective pilot trial of PerMIT versus standard anticoagulation service management of patients initiating oral anticoagulation.

We performed a randomised pilot trial of PerMIT, a novel decision support tool for genotype-based warfarin initiation and maintenance dosing, to assess its efficacy for improving warfarin management. We prospectively studied 26 subjects to compare PerMIT-guided management with routine anticoagulation service management. CYP2C9 and VKORC1 genotype results for 13 subjects randomly assigned to the PerMIT arm were recorded within 24 hours of enrolment. To aid in INR interpretation, PerMIT calculates estimated loading and maintenance doses based on a patient's genetic and clinical characteristics and displays calculated S-warfarin plasma concentrations based on planned or administered dosages. In comparison to control subjects, patients in the PerMIT study arm demonstrated a 3.6-day decrease in the time to reach a stabilised INR within the target therapeutic range (4.7 vs. 8.3 days, p = 0.015); a 12.8% increase in time spent within the therapeutic interval over the first 25 days of therapy (64.3% vs. 55.3%, p = 0.180); and a 32.9% decrease in the frequency of warfarin dose adjustments per INR measurement (38.3% vs. 57.1%, p = 0.007). Serial measurements of plasma S-warfarin concentrations were also obtained to prospectively evaluate the accuracy of the pharmacokinetic model during induction therapy. The PerMIT S-warfarin plasma concentration model estimated 62.8% of concentrations within 0.15 mg/l. These pilot data suggest that the PerMIT method and its incorporation of genotype/phenotype information may help practitioners increase the safety, efficacy, and efficiency of warfarin therapeutic management.

Interactive modeling for ongoing utility of pharmacogenetic diagnostic testing: application for warfarin therapy.

BACKGROUND: The application of pharmacogenetic results requires demonstrable correlations between a test result and an indicated specific course of action. We developed a computational decision-support tool that combines patient-specific genotype and phenotype information to provide strategic dosage guidance. This tool, through estimating quantitative and temporal parameters associated with the metabolism- and concentration-dependent response to warfarin, provides the necessary patient-specific context for interpreting international normalized ratio (INR) measurements. METHODS: We analyzed clinical information, plasma S-warfarin concentration, and CYP2C9 (cytochrome P450, family 2, subfamily C, polypeptide 9) and VKORC1 (vitamin K epoxide reductase complex, subunit 1) genotypes for 137 patients with stable INRs. Plasma S-warfarin concentrations were evaluated by VKORC1 genotype (-1639G>A). The steady-state plasma S-warfarin concentration was calculated with CYP2C9 genotype-based clearance rates and compared with actual measurements. RESULTS: The plasma S-warfarin concentration required to yield the target INR response is significantly (P < 0.05) associated with VKORC1 -1639G>A genotype (GG, 0.68 mg/L; AG, 0.48 mg/L; AA, 0.27 mg/L). Modeling of the plasma S-warfarin concentration according to CYP2C9 genotype predicted 58% of the variation in measured S-warfarin concentration: Measured [S-warfarin] = 0.67(Estimated [S-warfarin]) + 0.16 mg/L. CONCLUSIONS: The target interval of plasma S-warfarin concentration required to yield a therapeutic INR can be predicted from the VKORC1 genotype (pharmacodynamics), and the progressive changes in S-warfarin concentration after repeated daily dosing can be predicted from the CYP2C9 genotype (pharmacokinetics). Combining the application of multivariate equations for estimating the maintenance dose with genotype-guided pharmacokinetics/pharmacodynamics modeling provides a powerful tool for maximizing the value of CYP2C9 and VKORC1 test results for ongoing application to patient care.

Dynamic pharmacogenetic models in anticoagulation therapy.

This article demonstrates how a dynamic clinical-support tool can guide individualized drug therapy. We use the drug warfarin as a model to demonstrate how pharmacogenetics when combined with fundamental principles of pharmacokinetic and pharmacodynamics can provide a powerful decision-support tool to optimize personalized therapeutics.

The value of CYP2D6 and OPRM1 pharmacogenetic testing for opioid therapy.

In managing pain, clinicians working with the more than 80 million people in the United States who suffer annually from serious pain face decisions about choosing the most appropriate pharmacologic agent, to contemplating nonpharmacologic modalities. This article focuses on opioid use for pain management, their risks of toxicity and addiction, adverse reactions, undertreatment for fear of addiction, and integration of novel diagnostics, such as the pharmacogenetic biomarkers CYP2D6 and OPRM1 as holding promise for assessing a patient's risk of adverse events or likelihood of efficacy. Incorporation of such biomarkers is emerging on the forefront of personalized medicine, and has the potential to dramatically improve the utility and efficacy of both current and future pain management strategies.

Pharmacogenetic testing in schizophrenia and posttraumatic stress disorder.

Genotyping patients prior to beginning psychiatric pharmacological therapy can serve to inform practitioners as to each patient's likelihood of therapeutic response and their relative risk of experiencing toxicity and other adverse side effects from certain drugs. Such information could arm physicians with the knowledge they need to make appropriate drug and dosing decisions and avoid the lengthy trial-and-error process with which they are faced today. This article describes the current state of pharmacogenetic testing in schizophrenia and posttraumatic stress disorder.

Pharmacogenetic testing of CYP2D6 in patients with aripiprazole-related extrapyramidal symptoms: a case-control study.

Aripiprazole is primarily metabolized by the polymorphic CYP2D6. We genotyped four children (aged 6-15 years) who had developed extrapyramidal symptoms within 1 week of aripiprazole initiation or dose titration, and four matched children without extrapyramidal symptoms. All of the four children who developed extrapyramidal symptoms with aripiprazole had a dysfunctional CYP2D6 enzyme, based on genotype, and were categorized as either intermediate metabolizers (n = 2) or poor metabolizers (n = 2). By contrast, only two children from the control group had either of these phenotypes, and both were intermediate metabolizers. Children with CYP2D6 abnormalities may be at higher risk of aripiprazole-induced adverse drug reactions.

Identification of a synonymous polymorphism within the cytochrome P4502C9 gene that interferes with identification of the CYP2C9*2 allele.

Cytochrome P450 2C9 (CYP4502C9) genotyping is useful in dosage adjustments for several critical drug therapies, including warfarin. Potential interference compromising these genotyping results could lead to inappropriate dose adjustments that may result in adverse drug reactions. During routine clinical CYP4502C9 genotyping using multiplex allele-specific primer extension, an ambiguous result was obtained for determination of the CYP2C9 430C>T substitution, which defines the CYP2C9*2 allele. In this one patient sample submitted for CYP2C9 genotyping, the ratio for the variant 430T allele signal to the total signal (C+T alleles) was 0.29. This is above the expected ratio to be classified as wild-type (<0.15) and below the minimum expected ratio (>0.3) when the genotype is heterozygous at the 430 position. The mean fluorescence intensity for the 430C allele was consistent with that observed in subjects who are heterozygous at this nucleotide position. However, the corresponding signal for the 430T allele indicated the absence of the CYP2C9*2 allele. This suggests the assay was not able to determine the correct nucleotide at position 430 for one of the two alleles in this patient. Subsequent sequencing to investigate the allele-specific primer extension failure revealed the presence of a rare C>T nucleotide substitution at position 429. We tested this subject's CYP2C9 genotype using AvaII restriction endonuclease digestion and found that this rare substitution causes false-positive identification of the CYP2C9*2 allele when using this method. We developed a DpnII endonuclease digestion assay to specifically detect the CYP2C9 429C>T substitution and tested 100 randomly selected samples obtained from unrelated individuals. The 429C>T polymorphism was not identified in this sample set, which indicates an allele frequency of less than 2.0% (95% confidence interval, 0.0-1.8%) in the general population. Despite the rarity of this polymorphism, it has important implications for the accuracy of assays using allele-specific primers and the Ava II restriction endonuclease, when it occurs, which are two common methods currently applied for detecting the presence of the CYP2C9*2 allele.

Estimation of warfarin maintenance dose based on VKORC1 (-1639 G>A) and CYP2C9 genotypes.

BACKGROUND: CYP2C9 polymorphisms are associated with decreased S-warfarin clearance and lower maintenance dosage. Decreased expression of VKORC1 resulting from the -1639G>A substitution has also been implicated in lower warfarin dose requirements. We investigated the additional contribution of this polymorphism to the variance in warfarin dose. METHODS: Sixty-five patients with stable anticoagulation were genotyped for CYP2C9 and VKORC1 with Tag-It allele-specific primer extension technology. Plasma S-warfarin concentrations and warfarin maintenance dose were compared among patients on the basis of the VKORC1 -1639G>A genotype. RESULTS: Eighty percent of CYP2C9*1/*1 patients stabilized on <4.0 mg/day warfarin had at least 1 VKORC1 -1639A allele. Mean warfarin doses (SD) were 6.7 (3.3), 4.3 (2.2), and 2.7 (1.2) mg/day for patients with the VKORC1 -1639GG, GA, and AA genotypes, respectively. Steady-state plasma concentrations of S-warfarin were lowest in patients with the VKORC1 -1639AA genotype and demonstrated a positive association with the VKORC1 -1639G allele copy number (trend P = 0.012). A model including VKORC1 and CYP2C9 genotypes, age, sex, and body weight accounted for 61% of the variance in warfarin daily maintenance dose. CONCLUSIONS: The VKORC1 -1639A allele accounts for low dosage requirements of most patients without a CYP2C9 variant. Higher plasma S-warfarin concentrations corresponding to increased warfarin maintenance dosages support a hypothesis for increased expression of the VKORC1 -1639G allele. VKORC1 and CYP2C9 genotypes, age, sex, and body weight account for the majority of variance in warfarin dose among our study population.

Individualizing warfarin therapy.

Warfarin is the most commonly prescribed oral anticoagulant for the treatment and prevention of thromboembolic events. The correct maintenance dose of warfarin for a given patient is difficult to predict, the drug carries a high risk of toxicity, and variability among patients means that the safe dose range differs widely between individuals. Recent pharmacogenetic studies indicate that the routine incorporation of genetic testing into warfarin therapy protocols could substantially ease both the financial and health risks currently associated with this treatment. In particular, the variability in warfarin dose requirement is now recognized to be due, in large part, to polymorphisms in two genes: cytochrome P450 2C9 and the vitamin K epoxide reductase complex subunit 1. The development of algorithms that integrate all of the relevant genetic and physical factors into comprehensive, individualized predictive models for warfarin dose could be used to translate the results of pharmacogenetic testing into actionable clinical application.

Simultaneous determination of 7 N-acetyltransferase-2 single-nucleotide variations by allele-specific primer extension assay.

BACKGROUND: Genotyping of N-acetyltransferase-2 (NAT2) is useful in predicting the risk for toxicity of NAT2 substrates. Current methods cannot detect the 7 most important single-nucleotide variations in NAT2 simultaneously in 1 tube. METHODS: We developed an assay that uses allele-specific primer extension (ASPE) and microsphere hybridization for the simultaneous detection of 7 single-nucleotide variations in NAT2. Using 12 samples previously genotyped by a TaqMan-based assay for method development and as positive controls, we amplified the genetic locus of NAT2 comprising the single-nucleotide variations of interest by PCR and then performed ASPE with allele-specific primers and biotinylated dCTP followed by bead hybridization and streptavidin-R-phycoerythrin binding. Genotypes were determined according to the allele-specific fluorescent signal ratios. RESULTS: The mean (SD) allelic ratios for homozygous common, heterozygous variant, and homozygous variant NAT2 genotypes were 0.0394 (0.0113) (n = 80), 0.4372 (0.0270) (n = 148), and 0.9331 (0.0127) (n = 325). The assay had 100% (95% confidence interval, 99%-100%) within-run reproducibility for 12 samples repeated 6 times and 100% (98%-100%) between-run reproducibility for a 5-sample subset run on 6 different days. NAT2 genotypes of 30 blinded samples determined by this assay were 100% (98%-100%) concordant with results obtained using the TaqMan method. CONCLUSIONS: The developed assay can simultaneously determine single-nucleotide variations in NAT2. The assay demonstrates no overlap in allele-specific signal ratios between homozygous common, heterozygous, and homozygous variant and shows agreement with a reference method and reproducibility of genotype identification.