Functional significance of CYP2B6 gene rare allelic variants identified in Japanese individuals.

Cytochrome P450 2B6 (CYP2B6) catalyzes the metabolism of many drugs, including efavirenz and propofol. Genetic polymorphisms in CYP2B6 alter its enzymatic activity and substantially affect its pharmacokinetics. High-frequency variants, such as CYP2B6*6, are associated with the risk of developing side effects due to reduced CYP2B6 activity. However, the impact of rare alterations on enzyme function remains unknown, and some of these variants may significantly decrease the CYP2B6 activity. Therefore, in this study, we evaluated in vitro the functional alterations in 29 missense variants of the CYP2B6 gene identified in 8,380 Japanese individuals. Wild-type CYP2B6 and 29 rare CYP2B6 variants were transiently expressed in mammalian cells. The expression levels of variant CYP2B6 proteins in the microsomal fractions extracted from 293FT cells were assessed using western blotting and reduced-carbon monoxide difference spectroscopy, and a specific peak at 450 nm was detected in the wild-type and 19 variants. Furthermore, kinetic parameters were determined by assaying the reactions with efavirenz and propofol and quantifying the metabolite concentrations. We found that 12 variants had significantly lower or abolished enzymatic activity with both the substrates. In silico three-dimensional docking and molecular-dynamics simulations suggested that these functional changes were due to conformational changes in essential regions, such as the heme-binding site and ligand channels involved in transporting substrates to the active site. These findings have implications for predicting the plasma concentrations of CYP2B6 substrates and controlling their side effects.

Pharmacogenomics of 3,4-Methylenedioxymethamphetamine (MDMA): A Narrative Review of the Literature.

3,4-Methylenedioxymethamphetamine (MDMA) is a synthetic amphetamine derivative with notable psychoactive properties and emerging therapeutic potential, particularly for treating post-traumatic stress disorders (PTSD) and substance use disorders. However, its use remains controversial due to inter-individual variability influenced by both environmental and genetic factors. In this context, pharmacogenomics could play a crucial role in guiding MDMA treatment by identifying individuals with genetic predispositions affecting their response to MDMA. Tailoring treatment plans based on individual's genetic makeup may enhance therapeutic outcomes and minimize adverse effects, leading to safer and more effective use of MDMA in clinical settings. Literature analysis reveals that the influence of genetic variants within genes encoded for enzymes involved in MDMA metabolism and/or pharmacodynamics (PD) targets have been relatively under-investigated in humans. Some studies have pointed out associations between MDMA-induced effects and polymorphisms. For example, the catechol-O-methyltransferase (COMT) Val158Met polymorphism has been associated with cognitive and cardiovascular MDMA-induced effects. Similarly, polymorphisms in the serotonin-linked promoter region (5HTTLPR) have been associated with several MDMA-induced adverse effects including mood disorders. However, despite these findings, only a few associations have been highlighted. Furthermore, some genes encoded for MDMA targets have been only poorly investigated, representing a significant research gap. These observations underscore the need for large-scale, controlled pharmacogenomics studies focusing on a broad panel of genes involved into MDMA pharmacokinetics and PD. Such studies could provide critical insights for optimizing MDMA's therapeutic use and minimizing its risks.

Meta-Analysis of Noncompartmental Pharmacokinetic Parameters to Evaluate the Impact of CYP2C19 and CYP2C9 Genetic Polymorphisms on Abrocitinib Exposure.

Abrocitinib is a selective Janus kinase 1 inhibitor approved for the treatment of atopic dermatitis. It is metabolized primarily by cytochrome P450 (CYP) 2C19 (approximately 53%) and CYP2C9 (approximately 30%), which form 2 active metabolites. The pharmacologic activity of abrocitinib is attributable to the unbound exposures of abrocitinib and those metabolites with active moiety area under the plasma concentration-time curve (AUC) considered the best measure of the total pharmacological effect. The effect of CYP2C19 and/or CYP2C9 genotypes on abrocitinib and active moiety exposures were evaluated using a meta-analysis of the noncompartmental estimates of exposure pooled from 10 clinical studies. A linear mixed-effects model was developed on the basis of the power model to evaluate the effect of CYP2C19 and/or CYP2C9 genotypes on exposure (i.e., abrocitinib AUC and peak plasma concentration, active moiety AUC and peak plasma concentration). The genotypes were evaluated individually and as a combined phenotype effect. When evaluating the poor metabolizers of CYP2C19 or CYP2C9 individually, the estimated increases were 44.9% and 42.0% in active moiety AUC, respectively. The combined phenotype models showed a 0.6% decrease, and 25.1% and 10.5% increases in the active moiety AUC for "elevated," "mixed," and "reduced" metabolizers, respectively. Overall, the active moiety exposures did not appear to be affected to a clinically meaningful extent by different genotypes of CYP2C19 and/or CYP2C9.

Insights into pharmacogenetics, drug-gene interactions, and drug-drug-gene interactions.

This review explores genetic contributors to drug interactions, known as drug-gene and drug-drug-gene interactions (DGI and DDGI, respectively). This article is part of a mini-review issue led by the International Society for the Study of Xenobiotics (ISSX) New Investigators Group. Pharmacogenetics (PGx) is the study of the impact of genetic variation on pharmacokinetics (PK), pharmacodynamics (PD), and adverse drug reactions. Genetic variation in pharmacogenes, including drug metabolizing enzymes and drug transporters, is common and can increase the risk of adverse drug events or contribute to reduced efficacy. In this review, we summarize clinically actionable genetic variants, and touch on methodologies such as genotyping patient DNA to identify genetic variation in targeted genes, and deep mutational scanning as a high-throughput in vitro approach to study the impact of genetic variation on protein function and/or expression in vitro. We highlight the utility of physiologically based pharmacokinetic (PBPK) models to integrate genetic and chemical inhibitor and inducer data for more accurate human PK simulations. Additionally, we analyze the limitations of historical ethnic descriptors in pharmacogenomics research. Altogether, the work herein underscores the importance of identifying and understanding complex DGI and DDGIs with the intention to provide better treatment outcomes for patients. We also highlight current barriers to wide-scale implementation of PGx-guided dosing as standard or care in clinical settings.

Cabozantinib Induces Isolated Hyperbilirubinemia in Renal Cell Carcinoma Patients carrying the UGT1A1*28 Polymorphism.

BACKGROUND: Genetic variants of UGT1A1, involved in glucuronidation and clearance of bilirubin, are associated with reduced bilirubin metabolization and drug-induced isolated hyperbilirubinemia. We studied the impact of the UGT1A1*28 polymorphism on drug-induced isolated hyperbilirubinemia in metastatic renal cell carcinoma patients treated with pazopanib, cabozantinib, and axitinib. METHODS: We genotyped the UGT1A1*28 TA6/TA6-TA6/TA7-TA7/TA7 polymorphism and correlated with median baseline, on-treatment and peak bilirubin levels during therapy, incidence of grade-1- or -2 (G1/2)-hyperbilirubinemia and time-to-G1-hyperbilirubinemia. RESULTS: Of the 66 patients treated with pazopanib, 29 received axitinib and 28 cabozantinib upon progression. Median baseline bilirubin was higher in TA7/TA7-carriers versus TA6/TA6+TA6/TA7-carriers at start of pazopanib (P < .0001), cabozantinib (P < .0001), and axitinib (P = .007). During pazopanib therapy, median bilirubin increased 1.4-fold in TA7/TA7+TA6/TA7-carriers but not in TA6/TA6-carriers. On cabozantinib, bilirubin increased 1.5-fold in TA7/TA7-carriers but not in TA6/TA6+TA6/TA7-carriers. Axitinib did not increase bilirubin in any genotype. Peak bilirubin in TA7/TA7- versus TA6/TA6+TA6/TA7-carriers was higher on pazopanib (P < .0001) or cabozantinib (P < .0001). With pazopanib, G1-hyperbilirubinemia occurred in 57% of TA7/TA7- and 12% of TA6/TA6+TA6/TA7-carriers (P = .0009) and G2-hyperbilirubinemia in 36% and 6% of the patients, respectively (P = .004). On cabozantinib, G1-hyperbilirubinemia occurred in 100% of TA7/TA7- and 5% of TA6/TA6+TA6/TA7-carriers (P < .0001) and G2-hyperbilirubinemia in 33% and 0% of the patients, respectively (P = .04). On axitinib, no correlation between the genotypes and G1/2-hyperbilirubinemia was observed. CONCLUSION: We validate the previously described impact of the UGT1A1*28 polymorphism on isolated bilirubin increase on pazopanib. We report for the first time that cabozantinib also interferes with UGT1A1 and causes isolated bilirubin increase.

Will Precision Medicine Meet Digital Health? A Systematic Review of Pharmacogenomics Clinical Decision Support Systems Used in Clinical Practice.

Digital health, an emerging scientific domain, attracts increasing attention as artificial intelligence and relevant software proliferate. Pharmacogenomics (PGx) is a core component of precision/personalized medicine driven by the overarching motto "the right drug, for the right patient, at the right dose, and the right time." PGx takes into consideration patients' genomic variations influencing drug efficacy and side effects. Despite its potentials for individually tailored therapeutics and improved clinical outcomes, adoption of PGx in clinical practice remains slow. We suggest that e-health tools such as clinical decision support systems (CDSSs) can help accelerate the PGx, precision/personalized medicine, and digital health emergence in everyday clinical practice worldwide. Herein, we present a systematic review that examines and maps the PGx-CDSSs used in clinical practice, including their salient features in both technical and clinical dimensions. Using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines and research of the literature, 29 relevant journal articles were included in total, and 19 PGx-CDSSs were identified. In addition, we observed 10 technical components developed mostly as part of research initiatives, 7 of which could potentially facilitate future PGx-CDSSs implementation worldwide. Most of these initiatives are deployed in the United States, indicating a noticeable lack of, and the veritable need for, similar efforts globally, including Europe.

Evaluating the evidence for genotype-informed Bayesian dosing of tacrolimus in children undergoing solid organ transplantation: A systematic literature review.

Tacrolimus, a calcineurin inhibitor, is a highly effective immunosuppressant used in solid organ transplantation (SOT). However, it is characterized by a narrow therapeutic range and high inter-patient variability in pharmacokinetics. Standard weight-based dosing followed by empiric dose titration is suboptimal in controlling drug concentrations, increasing risk of rejection or toxicity, particularly in the initial months post transplantation. This review explores the potential of combined pre-transplant genotyping and pharmacokinetic (PK) modelling to improve tacrolimus dosing in paediatric SOT recipients. A systematic search of Medline, Embase and Cochrane databases identified studies published between March 2013 and March 2023 that investigated genotype- and PK model-informed tacrolimus dosing in children post-SOT. The Newcastle-Ottawa Scale assessed study quality. Seven studies encompassing paediatric kidney, heart, liver and lung transplants reported using genotype and model-informed dosing. A combination of clinical and genetic factors significantly impacts tacrolimus clearance and thus initial dose recommendation. Body size, transplant organ and co-medications were consistently important, while either time post-transplant or haematocrit emerged in some studies. Several models were identified, however, with limitations evident in some and with absence of evidence for their effectiveness in optimizing initial and subsequent dosing. This review highlights the development of PK models in paediatric SOT that integrate genotype and clinical covariates to personalize early tacrolimus dosing. While promising, prospective studies are needed to validate and confirm their effectiveness in improving time to therapeutic concentrations and reducing under- or overexposure. This approach has the potential to optimize tacrolimus therapy in paediatric SOT, thereby improving outcomes.

Pharmacogenomic Determinants of Adverse Drug Effects: A Systematic Review and Meta-analysis.

BACKGROUND/AIM: Genomic variants can predispose individuals to adverse drug effects (ADEs), implying the potential for personalised therapy based on genetic data to prevent them. However, existing pharmacogenomic databases lack a comprehensive list of such variants due to irregular updates and incomplete literature coverage. To facilitate the assessment of the feasibility of using pharmacogenetic testing on a larger scale and identify existing gaps in the literature, this study sought to compile a comprehensive list of genomic variants associated with ADEs, with a focus on serious ADEs. PATIENTS AND METHODS: To identify relevant pharmacogenetic studies within randomised controlled trials (RCTs), post-hoc studies of RCTs and meta-analyses, two literature searches were performed across multiple databases. The compiled list of variants associated with ADEs was refined to create a set of variant-drug pairs significantly associated with serious ADEs. RESULTS: We identified 254 RCTs/post-hoc studies and 207 meta-analyses investigating variants associated with ADEs. Among the 254 RCTs/post-hoc studies identified, 24 meta-analyses were conducted. Among these, only G6PD A- showed a significant association with severe anaemia in patients receiving artemisinin-based treatment for malaria. CONCLUSION: This systematic review provides a comprehensive list of variants associated with ADEs and a set of variant-drug pairs significantly associated with serious ADEs. These resources serve as valuable references for regulatory agencies, researchers, and healthcare professionals. This study, however, underscores the need for improved indexing and standardised definitions of ADE seriousness in the literature.

Pharmacogenetics of Toxicities Related to Endocrine Treatment in Breast Cancer: A Systematic Review and Meta-analysis.

BACKGROUND/AIM: Endocrine therapy is the standard treatment for hormone receptor-positive (HR+) breast cancer (BC). Yet, it is accompanied by treatment-related toxicities, leading to poor treatment adherence, high relapse, and low rates of survival. While pharmacogenomic variants have the potential to guide personalized treatment, their predictive value is inconsistent across published studies. MATERIALS AND METHODS: To systematically assess the literature's current landscape of pharmacogenomics of endocrine therapy-related adverse drug effects, systematic searches in MEDLINE, Embase, Cochrane CENTRAL, Google Scholar and PharmGKB databases were conducted. RESULTS: We identified 87 articles. Substantial heterogeneity and variability in pharmacogenomic effects were evident across studies, with many using data from the same cohorts and predominantly focusing on the Caucasian population and postmenopausal women. Meta-analyses revealed Factor V Leiden mutation as a predictor of thromboembolic events in tamoxifen-treated women (p<0.0001). Meta-analyses also found that rs7984870 and rs2234693 were associated with musculoskeletal toxicities in postmenopausal women receiving aromatase inhibitors (p<0.0001 and p<0.0001, respectively). CONCLUSION: Overall, the current body of evidence regarding the potential role of pharmacogenomics in endocrine therapy-related toxicity in BC remains largely inconclusive. Key concerns include the heterogeneity in toxicity definitions, lack of consideration for genotype-treatment interactions, and the failure to account for multiple testing. The review underscores the necessity for larger and well-designed studies, particularly with the inclusion of premenopausal women and non-Caucasian populations.

Letter to the editor: "Beyond nimodipine: advanced neuroprotection strategies for aneurysmal subarachnoid hemorrhage vasospasm and delayed cerebral ischemia".

This letter commends the article by Luzzi et al. on alternative neuroprotection strategies for aneurysmal subarachnoid hemorrhage (SAH). It highlights the pharmacological advantages of nicardipine, cilostazol, and clazosentan over nimodipine in managing cerebral vasospasm and delayed cerebral ischemia. Emphasizing the need for personalized medicine, it advocates for integrating genetic screening and advanced monitoring techniques to tailor treatments to individual patient profiles. This approach could significantly improve clinical outcomes by optimizing drug efficacy and minimizing adverse effects.

Pharmacokinetics and Pharmacogenomics of Ribociclib in Black Patients with Metastatic Breast Cancer: The LEANORA study.

Underrepresented populations' participation in clinical trials remains limited, and the potential impact of genomic variants on drug metabolism remains elusive. This study aimed to assess the pharmacokinetics (PK) and pharmacogenomics (PGx) of ribociclib in self-identified Black women with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2) advanced breast cancer. LEANORA (NCT04657679) was a prospective, observational, multicenter cohort study involving 14 Black women. PK and PGx were evaluated using tandem mass spectrometry and PharmacoScan™ microarray (including CYP3A5*3, *6, and *7). CYP3A5 phenotypes varied among participants: 7 poor metabolizers (PM), 6 intermediate metabolizers (IM), and one normal metabolizer (NM). The area-under-the-curve did not significantly differ between PMs (39,230 hr*ng/mL) and IM/NMs (43,546 hr*ng/mL; p = 0.38). The incidence of adverse events (AEs) was also similar. We found no association between CYP3A5 genotype and ribociclib exposure. Continued efforts are needed to include diverse populations in clinical trials to ensure equitable treatment outcomes.

TPMT*8: A Decreased Function Allele Important in Thiopurine Metabolism.

Thiopurine 6-mercaptopurine (6-MP) is metabolized by thiopurine methyl transferase (TPMT). TPMT genetic variation results in some individuals having reduced or absent TPMT enzyme activity. If these individuals take a full thiopurine dose, life-threatening adverse events can occur. Testing identifies patients with reduced or absent TPMT activity and is recommended prior to initiation of therapy. The TPMT*8 allele, defined by c.644G>A (p.Arg215His), is common among individuals of African ancestry (∼2.3% minor allele frequency), but is not included in genotyping recommendations due to its uncertain function. Here, a clinical TPMT enzyme activity assay was used to assess TPMT activity in red blood cells from 982 patients, including those with *1/*8 (n=22), *3A/*8 (n=1), and *3C/*8 (n=1) TPMT diplotypes. The average 6-MMP production (primary TPMT product measured clinically) was 3.08 ± 0.16 nmol/mL/hr for *1/*8 individuals, compared to 3.77 ± 0.03 nmol/mL/hr for normal metabolizers (p=0.0001) and 2.39 ± 0.06 nmol 6-MMP/mL/hr for intermediate metabolizers (p<0.0001). Individuals with a TPMT*1/*8 diplotype demonstrated reduced 6-MP metabolism between that of normal metabolizers and intermediate metabolizers, suggesting that TPMT*8 is a reduced function allele.

Genetic factors and symptom dimensions associated with antidepressant treatment outcomes: clues for new potential therapeutic targets?

Treatment response and resistance in major depressive disorder (MDD) show a significant genetic component, but previous studies had limited power also due to MDD heterogeneity. This literature review focuses on the genetic factors associated with treatment outcomes in MDD, exploring their overlap with those associated with clinically relevant symptom dimensions. We searched PubMed for: (1) genome-wide association studies (GWASs) or whole exome sequencing studies (WESs) that investigated efficacy outcomes in MDD; (2) studies examining the association between MDD treatment outcomes and specific depressive symptom dimensions; and (3) GWASs of the identified symptom dimensions. We identified 13 GWASs and one WES of treatment outcomes in MDD, reporting several significant loci, genes, and gene sets involved in gene expression, immune system regulation, synaptic transmission and plasticity, neurogenesis and differentiation. Nine symptom dimensions were associated with poor treatment outcomes and studied by previous GWASs (anxiety, neuroticism, anhedonia, cognitive functioning, melancholia, suicide attempt, psychosis, sleep, sociability). Four genes were associated with both treatment outcomes and these symptom dimensions: CGREF1 (anxiety); MCHR1 (neuroticism); FTO and NRXN3 (sleep). Other overlapping signals were found when considering genes suggestively associated with treatment outcomes. Genetic studies of treatment outcomes showed convergence at the level of biological processes, despite no replication at gene or variant level. The genetic signals overlapping with symptom dimensions of interest may point to shared biological mechanisms and potential targets for new treatments tailored to the individual patient's clinical profile.

Ancestral diversity in pharmacogenomics affects treatment for Hispanic/Latine populations with inflammatory bowel disease.

BACKGROUND AND AIMS: The prevalence of inflammatory bowel disease (IBD) among Hispanic/Latine communities is increasing. Pharmacogenomic studies reveal genetic markers that influence treatment decisions. The aim of our study was to examine the frequency and impact of genetic polymorphisms on thiopurine-associated leukopenia (NUDT15, TPMT) and anti-TNF immunogenicity (HLA-DQA1*05) in a cohort of Hispanic patients of diverse ancestral backgrounds. METHODS: We performed a multicenter, retrospective cohort study comprised of 2225 Hispanic participants. We measured the frequency of variation affecting drug response in NUDT15, TPMT, and HLA-DQA1*05, their ancestral origin (European, African, or Amerindian), and the rate of development of myelosuppression and immunogenicity to thiopurines and anti-TNFs, respectively, in exposed patients. RESULTS: NUDT15 and TPMT variants were rare, except for rs116855232 in NUDT15 which was common only in alleles of Amerindian origin. All NUDT15 variant alleles were inherited on an Amerindian haplotype, and among the Amerindian allele subset, the variant frequency of NUDT15*4 (rs147390019) was a remarkable 23% in patients with leukopenia but only 3% in patients without leukopenia. HLA-DQA1*05 and its European tagging variant rs2097432 were common in alleles from all ancestral origins and demonstrated association with immunogenicity to anti-TNFs. However, rs2097432 was only correlated with HLA-DQA1*05 in the European allele subset. CONCLUSION: These findings indicate that NUDT15 testing should become standard clinical practice before prescribing thiopurines in individuals with Amerindian ancestry, including Hispanic individuals. Additionally, rs2097432 should not be used as a surrogate for HLA-DQA1*05 testing for diverse populations. Ultimately, incorporating ancestry in personalized therapeutic approaches is important for treatment of Hispanic patients with IBD.

Complex Interactions between the Human Major Histocompatibility Complex (MHC) and Microbiota: Their Roles in Disease Pathogenesis and Immune System Regulation.

The relationship between microbiota and the immune system is complex and characterized by the ways in which microbiota directs immune function interactions, both innate and acquired and also keeps activating the immune system throughout an individual's life. In this respect, the human Major Histocompatibility Complex (MHC, referred to as HLA in humans) plays a crucial role and is also established in self-defense against microbes by presenting microbial-derived peptides to the immune cells. However, this assumption has some unclear aspects that should be investigated. For example, how is the microbiota shaped by microbe species diversity, quantity and functions of the immune system, as well as the role and molecular mechanisms of the HLA complex during this process. There are autoimmune diseases related to both HLA and specific microbiota changes or alterations, many of which are mentioned in the present review. In addition, the HLA peptide presenting function should be put in a framework together with its linkage to diseases and also with HLA compatibility necessary for transplants to be successful. These are still quite an enigmatically statistical and phenomenological approach, but no firm pathogenic mechanisms have been described; thus, HLA's real functioning is still to be fully unveiled. After many years of HLA single-genes studies, firm pathogenesis mechanisms underlying disease linkage have been discovered. Finally, microbiota has been defined as conformed by bacteria, protozoa, archaea, fungi, and viruses; notwithstanding, endogenous viral sequences integrated into the human genome and other viral particles (obelisks) recently found in the digestive mucosa should be taken into account because they may influence both the microbiome and the immune system and their interactions. In this context, we propose to integrate these microbial-genetic particle components into the microbiome concept and designate it as "microgenobiota".

Cost-Effectiveness Analysis of Pharmacogenomics-Guided Versus Standard Dosing of Warfarin in Patients with Mechanical Prosthetic Heart Valve.

Background: Warfarin is the only approved anticoagulant for antithrombotic treatment in patients with mechanical prosthetic heart valves (MPHV). However, dosing warfarin is challenging due to its narrow therapeutic window and highly variable clinical outcomes. Both low and high doses of warfarin can lead to thrombotic and bleeding events, respectively, with these complications being more severe in individuals with sensitive genetic polymorphisms. Incorporating genetic testing could enhance the accuracy of warfarin dosing and minimize its adverse events. Objectives: This study aims to evaluate the utilities and cost-effectiveness of pharmacogenomics-guided versus standard dosing of warfarin in patients with MPHV in Iran. Methods: In this economic evaluation study, a cost-effectiveness analysis was conducted to compare pharmacogenomics-guided versus standard warfarin dosing. Data related to quality of life (QoL) were collected through a cross-sectional study involving 105 randomly selected MPHV patients using the EuroQol-5D (EQ-5D) Questionnaire. Costs were calculated with input from clinical experts and a review of relevant guidelines. Additional clinical data were extracted from published literature. The pharmacoeconomic threshold set for medical interventions within Iran's healthcare system was $1,500. A decision tree model was designed from the perspective of Iran's healthcare system with a one-year study horizon. Sensitivity analyses were also performed to assess the uncertainty of input parameters. Results: The utility scores derived from the questionnaire for standard and pharmacogenomics-guided warfarin treatments were 0.68 and 0.76, respectively. Genotype-guided dosing of warfarin was more costly compared to the standard dosing ($246 vs $69), and the calculated incremental cost-effectiveness ratio (ICER) was $2474 per quality-adjusted life year (QALY) gained. One-way sensitivity analyses showed that our model is sensitive to the percentage of time in the therapeutic range (PTTR), the cost of genetic tests, and the utility of both pharmacogenomics-guided and standard dosing arms. However, the probabilistic sensitivity analysis demonstrates the robustness of our model. Conclusions: Warfarin dosing with pharmacogenomics testing is currently not cost-effective. However, if the cost of genotyping tests decreases to $118, the ICER would become cost-effective.

Pharmacogenetic educational needs and the role of pharmacogenetics in primary care: a focus group study with multiple perspectives.

Background: Pharmacogenomics (PGx) is a well-established concept of how genes impact medication response, with many studies demonstrating reductions in medication side effects, improved efficacy and cost effectiveness. Despite these benefits, implementation of PGx in daily practice remains limited. Studies on the implementation of PGx in clinical practice have previously found that inadequate knowledge is one of the main barriers. Details regarding specifically which educational needs exist among family medicine clinicians requires further study. Objective: The aim of this study was to identify both the perceived role that pharmacogenomics (PGx) could play in primary care practice, the knowledge gaps that family medicine clinicians experience, and the skills they require to use PGx in their daily practice. Methods: To achieve this aim, the attitudes, knowledge, barriers, skills needed, and preferred educational program were explored in a family medicine clinician focus group study via a semi-structured interview and knowledge quiz. Second, multidisciplinary focus groups provided information on the level of knowledge and necessary skills to use PGx in patient care. After gathering key recorded information from both focus groups, the perceived role pharmacogenomics could possibly play in primary care, the predominant knowledge gaps, and the most appropriate educational program was determined by qualitative analysis. Results: Four themes emerged regarding the PGx educational needs and the role of PGx in family medicine: 1) need for PGx competences, 2) insight into the roles and responsibilities of PGx services, 3) optimization of PGx workflow through artificial intelligence integrated in the electronic health record, and 4) the ethical dilemmas and psychological effects related to PGx. These themes reflect a shift in the role of PGx in family medicine with implications for education. Conclusion: The results obtained from this study will help improve the implementation of PGx in daily practice, and consequently, may result in increased utilization of PGx, thereby resulting in improved medication efficacy and reduced side effects.

Implementing pharmacogenomic testing in Australian general practice: an exploratory qualitative study.

Aim: To explore general practitioners' (GPs) views on implementing pharmacogenomic testing in Australian general practice. Methods: Semi-structured interviews were conducted with nine GPs in Australia, recruited from primary care networks. Interviews were analyzed using thematic analysis. Themes were mapped onto the Consolidated Framework for Implementation Research domains. Results: Barriers to implementation included lack of knowledge, education, standardized pharmacogenomic reports and national clinical guidelines and financial inaccessibility. Facilitators included positive exposure to pharmacogenomics, peer influences, interdisciplinary collaboration and proven clinical utility. Current uptake was minimal; however, GPs shared positive perceptions of clinical use. Conclusion: Recommendations for successful implementation include building and disseminating clinical evidence, developing national guidelines and standardized reports, incorporation into formal education and increasing financial accessibility.

What is this article about? This article describes an original research study that examines the implementation of pharmacogenomic testing in Australian general practice. Pharmacogenomic testing applies personalized genomic information to medication prescribing, as genetic differences can affect how a person metabolizes certain medications. While there is excitement about the possibilities of using pharmacogenomics, the general uptake is slow. This study looked to understand the barriers and facilitators to implementation from the perspectives of general practitioners in Australia.What were the results? Through exploratory interviews with general practitioners, this study identified that barriers to implementation include a lack of knowledge, education, standardized reports and national clinical guidelines and financial inaccessibility. Facilitators include positive exposure to pharmacogenomic testing, peer influences, interdisciplinary collaboration and proven clinical utility. Current uptake was minimal; however, GPs shared positive perceptions of the potential of testing.What do the results of the study mean? Based on the results of this study, the following recommendations were generated for successful implementation: building and disseminating clinical evidence, developing national guidelines, incorporation into formal education, establishing accessible experts and improving financial accessibility.