Implementation Of Pharmacogenomics Research Articles

PARC report: a health-systems focus on reimbursement and patient access to pharmacogenomics testing.

Pharmacogenomics test coverage and reimbursement are major obstacles to clinical uptake. Several early adopter programs have been successfully initiated through dedicated investments by federal and institutional research funding. As a result of research endeavors, evidence has grown sufficiently to support development of pharmacogenomics guidelines. However, clinical uptake is still limited. Third-party payer support plays an important role inincreasing adoption, which to date has been limited to reactive single-gene testing. Access to and interest in direct-to-consumer genetic testing are driving demand for increasing healthcare providersand third-party awareness of this burgeoning field. Pharmacogenomics implementation models developed by early adopters promise to expand patient access and options, as testing continues to increase due to growing consumer interest and falling test prices.

Enrollment of Diverse Populations in the INGENIOUS Pharmacogenetics Clinical Trial.

Recruitment of diverse populations and subjects living in Medically Underserved Areas and Populations (MUA/P’s) into clinical trials is a considerable challenge. Likewise, representation of African-Americans in pharmacogenetic trials is often inadequate, but critical for identifying genetic variation within and between populations. To identify enrollment patterns and variables that predict enrollment in a diverse underserved population, we analyzed data from the INGENIOUS (Indiana GENomics Implementation and Opportunity for the UnderServed), pharmacogenomics implementation clinical trial conducted at a community hospital for underserved subjects (Safety net hospital), and a statewide healthcare system (Academic hospital). We used a logistic regression model to identify patient variables that predicted successful enrollment after subjects were contacted and evaluated the reasons that clinical trial eligible subjects refused enrollment. In both healthcare systems, African-Americans were less likely to refuse the study than non-Hispanic Whites (Safety net, OR = 0.68, and p < 0.002; Academic hospital, OR = 0.64, and p < 0.001). At the Safety net hospital, other minorities were more likely to refuse the study than non-Hispanic Whites (OR = 1.58, p < 0.04). The odds of refusing the study once contacted increased with patient age (Safety net hospital, OR = 1.02, p < 0.001, Academic hospital, OR = 1.02, and p < 0.001). At the Academic hospital, females were less likely to refuse the study than males (OR = 0.81, p = 0.01) and those not living in MUA/P’s were less likely to refuse the study than those living in MUA/P’s (OR = 0.81, p = 0.007). The most frequent barriers to enrollment included not being interested, being too busy, transportation, and illness. A lack of trust was reported less frequently. In conclusion, African-Americans can be readily recruited to pharmacogenetic clinical trials once contact has been successfully initiated. However, health care initiatives and increased recruitment efforts of subjects living in MUA/Ps are needed. Enrollment could be further enhanced by improving research awareness and knowledge of clinical trials, reducing time needed for participation, and compensating for travel.

Rural Community Perceptions and Interests in Pharmacogenomics.

Pharmacogenomics testing is a rapidly expanding field with increasing importance to individualized patient care. However, it remains unclear whether the general public in rural areas would be willing to engage in this service. The objective of this survey was to determine rural community-dwelling members’ perceptions of pharmacogenomics. A questionnaire was developed consisting of five Likert-style questions on knowledge and perceptions of pharmacogenomics, a single multiple-choice question on cost of testing, and a free-response question. Two cohorts received the same questionnaire: attendees at a university-sponsored health fair and patients presenting to two independent community pharmacies in southeastern Idaho. While both showed positive reception to the implementation and value of pharmacogenomics, those at the health fair were more in favor of pharmacogenomics, suggesting a need for greater outreach and education to the general public. The findings suggest that interest of rural community-dwelling individuals may be amenable to the expansion of pharmacogenomics testing.

The implementation of pharmacogenomics into UK general practice: a qualitative study exploring barriers, challenges and opportunities

Pharmacogenomics describes interpatient genetic variability in drug responses. Information based on whole genome sequencing will soon open up the field of pharmacogenomics and facilitate the use of genomic information relating to drug metabolism and drug responses. We undertook a qualitative study, aiming to explore the potential barriers, opportunities and challenges facing the implementation of pharmacogenomics into primary care. Semi-structured interviews were undertaken with 18 clinical participants (16 GPs and 2 other clinicians). All interviews were recorded and transcribed verbatim. Using a thematic analysis approach, data items were coded, ordered and themes constructed. Most participants were aged 55–60 years and worked as part-time clinical GPs with other clearly defined roles. The emerging themes covered several areas of concern, including the following: the utility of pharmacogenomics and the value of introducing such testing into primary care; how to educate the primary care workforce and ‘mainstream’ pharmacogenomics; the ethical, legal and social aspects of pharmacogenomics and its impact on patients; and potential impacts on the healthcare system particularly around economics and informatics. Most participants had concerns about pharmacogenomics and felt that there were a number of barriers and challenges to its implementation into routine primary care. Most striking were their concerns around the cost-effectiveness of using pharmacogenomics in primary care. At the same time most recognised the increasing availability of direct-to-consumer testing, and felt that this would drive the need to understand the ethical and social implications of using genomic information in primary care. This study has raised important issues that need to be considered when planning the implementation of pharmacogenomics into clinical practice. Prior to the implementation of genomic testing into day-to-day practice in UK primary care, it is important that considerations around education, cost-effectiveness and informatics are addressed, as well as the impact on patients.

Challenges in pharmacotherapy for older adults: a framework for pharmacogenomics implementation.

Older adults are at high risk for inappropriate prescribing, developing polypharmacy, adverse drug events and poor treatment outcomes due to multimorbidity and geriatric syndromes. Pharmacogenomics could allow healthcare professionals to provide optimal patient care while minimizing the risk of adverse drug events and simplifying complex medication regimens. The implementation of pharmacogenomics in geriatrics medicine requires a broad multilayered bottom-up approach. These include curriculum redesign, rethinking experiential education and patient and provider education. There are barriers associated with adopting pharmacogenomics into clinical practice. These barriers may include economic factors, workflow and informatics support. However, addressing these barriers primarily requires creating a culture of innovative practices in patient care, ongoing interprofessional continuing education and an interdisciplinary approach for patient care.

Implementation of pharmacogenomics in product information.

Aim: The aim of our study was to analyse the level of implementation of pharmacogenomics (PGx) in product information (PI) of medicinal products approved through national procedures in the EU. Materials &methods: In the analysis, we included nationally approved medicinal products in Croatia if guidelines for relevant substances were published. Results: Overall, 265 marketing authorizations were analyzed. The majority of data included in PI was only informative, while the most frequent PGx biomarkers were genes which code CYP P450. Analysis according to the Anatomical Therapeutic Chemical classification revealed that most substances belonged to the nervous system. Conclusion: Although hindrances in implementation are anticipated, PI should be more specific in terms of when the testing is indicated and should include actionable recommendations according to the results of PGx testing.

Evaluation of Current Regulation and Guidelines of Pharmacogenomic Drug Labels: Opportunities for Improvements.

Pharmacogenomic drug labels in the Summary of Product Characteristics (SmPC) provide an instrument for clinical implementation of pharmacogenomics. We compared pharmacogenomic guidance by Clinical Pharmacogenetics Implementation Consortium (CPIC), Dutch Pharmacogenetics Working Group (DPWG), the US Food and Drug Administration (FDA), and by the European agencies the European Medicines Agency (EMA), College ter Beoordeling van Geneesmiddelen Medicines Evaluation Board (CBG‐MEB), and Federal Institute for Drugs and Medical Devices (FIDMD), collectively assigned as EMA/FIDMD+MEB shortened as EMA/FM. Of 54 drugs with an actionable gene–drug interaction in the CPIC and DPWG guidelines, only 50% had actionable pharmacogenomic information in the SmPCs and the agencies were in agreement in only 18% of the cases. We further compared 450 additional drugs, lacking CPIC or DPWG guidance, and found 126 actionable gene–drug labels by the FDA and/or the EMA/FM. Based on these 126 drugs in addition to the 54 above, the consensus of actionable pharmacogenomic labeling between the FDA and the EMA/FM was only 54%. In conclusion, guidelines provided by CPIC/DPWG are only partly implemented into the SmPCs and the implementation of pharmacogenomic drug labels into the clinics would strongly gain from a higher extent of consensus between agencies.

Pharmacogenomics in Practice: Guidance for Thiopurine Dosing Using Thiopurine Methyltransferase (TPMT) and Nudix Hydrolase 15 (NUDT15)

The Clinical Pharmacogenomics Implementation Consortium (CPIC) was established in 2009 to assist clinicians with overcoming the barriers involved with applying genomic test results to clinical practice. 1 Caudle K.E. Klein T.E. Müller D.J. et al. Incorporation of pharmacogenomics into routine clinical practice: the clinical pharmacogenetics implementation consortium (CPIC) guideline development process. Curr Drug Metab. 2014; 15: 209-217 Crossref PubMed Scopus (231) Google Scholar Specifically, CPIC publishes evidence-based guidelines that translate genetic test results into actionable prescribing recommendations for individual drugs or drug classes. Alyssa Strohbuscha, PharmD, MS, is a second-year oncology resident at Baptist MD Anderson Cancer Center, Jacksonville, FL, and can be reached at [email protected] . Sarah Kator, PharmD, BCOP, is an Advanced Clinical Pharmacist at LDS Hospital, Salt Lake City, UT.

Pharmacogenomics In Pharmacy Practice: Current Perspectives.

Pharmacogenomics (i.e., the application of genetic information in predicting an individual’s response to drug therapy) plays an increasingly important role in drug development and decision-making regarding precision medicine. This has been shown to reduce the risk of adverse events and improve patient health-care outcomes through targeted therapies and dosing. As the field of pharmacogenomics rapidly evolves, the role of pharmacists in the education, implementation, and research applications of pharmacogenomics is becoming increasingly recognized. This paper aims to provide an overview and current perspectives of pharmacogenomics in contemporary clinical pharmacy practice and to discuss the future directions on advancing pharmacogenomics education, application, and research in pharmacy practice.

Pharmacogenomics, CYP2D6, and Tamoxifen: A Survey of the Reasons Sustaining European Clinical Practice Paradigms.

Tamoxifen is a drug that is often used in the clinical management of breast cancer. CYP2D6 is a key metabolizing enzyme that is involved in the conversion of tamoxifen to its active drug metabolites. CYP2D6 has several alleles that metabolize tamoxifen and other drugs at different rates that can alter therapeutic impact, a characteristic that renders it one of the most studied enzymes in the field of pharmacogenetics. Background and objectives: Portugal has no implemented measures based on pharmacogenomics analysis prior to therapy that might function as a cultural sample control when analyzing the individual and economic factors present in clinical practice paradigms. Therefore, we aim to investigate the impact of CYP2D6 genotyping of the tamoxifen metabolizing enzymes in the clinical management of breast cancer patients. Materials and Methods: Qualitative/quantitative studies regarding the impact of pharmacogenomics in breast cancer; personal interviews in different Portuguese laboratories within hospital setting using a survey. Analysis of data through interviews to management board and/or decision makers from major oncological centers. Results: Reasons for common adoption of pharmacogenomics practice are contradictory and based both in economic factors and cultural/clinical bias. Conclusions: This research study identifies specific cultural and/or clinical bias that act as obstacles to pharmacogenomic implementation and proposes viable courses of action that might bring about change in cultural/medical habits.

Precision Pharmacotherapy: Integrating Pharmacogenomics into Clinical Pharmacy Practice.

Precision pharmacotherapy encompasses the use of therapeutic drug monitoring; evaluation of liver and renal function, genomics, and environmental and lifestyle exposures; and analysis of other unique patient or disease characteristics to guide drug selection and dosing. This paper articulates real-world clinical applications of precision pharmacotherapy, focusing exclusively on the emerging field of clinical pharmacogenomics. This field is evolving rapidly, and clinical pharmacists now play an invaluable role in the clinical implementation, education, and research applications of pharmacogenomics. This paper provides an overview of the evolution of pharmacogenomics in clinical pharmacy practice, together with recommendations on how the American College of Clinical Pharmacy (ACCP) can support the advancement of clinical pharmacogenomics implementation, education, and research. Commonalities among successful clinical pharmacogenomics implementation and education programs are identified, with recommendations for how ACCP can leverage and advance these common themes. Opportunities are also provided to support the research needed to move the practice and application of pharmacogenomics forward.

Pharmacogenetic Factors Affecting Asthma Treatment Response. Potential Implications for Drug Therapy

Asthma is a frequent disease, mainly characterized by airway inflammation, in which drug therapy is crucial in its management. The potential of pharmacogenomics testing in asthma therapy has been, to date, little explored. In this review, we discuss pharmacogenetic factors affecting asthma treatment, both related to drugs used as controller medications for regular maintenance, such as inhaled corticosteroids, anti-leukotriene agents, long-acting beta-agonists, and the new biologic agents used to treat severe persistent asthma. In addition, we discuss current pharmacogenomics knowledge for rescue medications provided to all patients for as-needed relief, such as short-acting beta-agonists. Evidence for genetic variations as a factor related to drugs response has been provided for the following genes and groups of drugs: Inhaled corticosteroids: FCER2; anti-leukotriene agents: ABCC1, and LTC4S; beta-agonists: ADRB2. However, the following genes require further studies confirming or rejecting association with the response to asthma therapy: ADCY9, ALOX5, ARG1, ARG2, CRHR1, CRHR2, CYP3A4, CYP3A5, CYSLTR1, CYSLTR2, GLCCI1, IL4RA, LTA4H, ORMDL3, SLCO2B1, SPATS2L, STIP1, T, TBX21, THRA, THRB, and VEGFA. Although only a minority of these genes are, at present, listed as associated with drugs used in asthma therapy, in the Clinical Pharmacogenomics Implementation Consortium gene-drug pair list, this review reveals that sufficient evidence to start testing the potential of clinical pharmacogenomics in asthma therapy already exists. This evidence supports the inclusion in pilot pharmacogenetics tests of at least four genes. Hopefully these tests, if proven useful, will increase the efficiency and the safety of asthma therapy.

Current practices in the delivery of pharmacogenomics: Impact of the recommendations of the Pharmacy Practice Model Summit.

This report examines and evaluates pharmacogenomics as an emerging science as it relates to the Practice Advancement Initiative and its predecessor the Pharmacy Practice Model Initiative's consensus statements for optimal pharmacy practice models. Pharmacogenomics is one of many emerging sciences to impact medication management and delivery of patient care. Increasingly, biomarkers are included in drug labeling and can assist pharmacists with personalizing medicine to optimize patient therapies and avoid adverse effects. The 2011 ASHP Pharmacy Practice Model Summit generated a list of 147 consensus statements for optimal pharmacy practice. Of these, 1 statement explicitly describes adjustment of drug regimens based on genetic factors as an essential activity of pharmacist-provided drug regimens, and 9 other statements provide additional support for incorporation of this emerging science into all aspects of patient care provided by pharmacists. We describe 4 institutions that have made significant inroads to implementing pharmacogenomics, to provide a framework and serve as resources for other institutions initiating their own pharmacogenomics implementation journeys. Through prioritized efforts of the pharmacy profession and health care institutions, pharmacogenomics will be disseminated and implemented, and the goal of the Pharmacy Practice Model Initiative's consensus statements of improving health care using patients' genetic characteristics will be realized.

Pharmacogenomic and Pharmacotranscriptomic Profiling of Childhood Acute Lymphoblastic Leukemia: Paving the Way to Personalized Treatment.

Personalized medicine is focused on research disciplines which contribute to the individualization of therapy, like pharmacogenomics and pharmacotranscriptomics. Acute lymphoblastic leukemia (ALL) is the most common malignancy of childhood. It is one of the pediatric malignancies with the highest cure rate, but still a lethal outcome due to therapy accounts for 1–3% of deaths. Further improvement of treatment protocols is needed through the implementation of pharmacogenomics and pharmacotranscriptomics. Emerging high-throughput technologies, including microarrays and next-generation sequencing, have provided an enormous amount of molecular data with the potential to be implemented in childhood ALL treatment protocols. In the current review, we summarized the contribution of these novel technologies to the pharmacogenomics and pharmacotranscriptomics of childhood ALL. We have presented data on molecular markers responsible for the efficacy, side effects, and toxicity of the drugs commonly used for childhood ALL treatment, i.e., glucocorticoids, vincristine, asparaginase, anthracyclines, thiopurines, and methotrexate. Big data was generated using high-throughput technologies, but their implementation in clinical practice is poor. Research efforts should be focused on data analysis and designing prediction models using machine learning algorithms. Bioinformatics tools and the implementation of artificial i Lack of association of the CEP72 rs924607 TT genotype with intelligence are expected to open the door wide for personalized medicine in the clinical practice of childhood ALL.

Pharmacogenomics in dermatology: tools for understanding gene-drug associations.

Pharmacogenomics aims to associate human genetic variability with differences in drug phenotypes in order to tailor drug treatment to individual patients. The massive amount of genetic data generated from large cohorts of patients with variable drug phenotypes have led to advances in this field. Understanding the application of pharmacogenomics in dermatology could inform clinical practice and provide insight for future research. The Pharmacogenomics Knowledge Base and the Clinical Pharmacogenetics Implementation Consortium are among the resources to help clinicians and researchers navigate the many gene-drug associations that have already been discovered. The implementation of clinical pharmacogenomics within health care systems remains an area of ongoing development. This review provides an introduction to the field of pharmacogenomics and to current pharmacogenomics resources using examples of gene-drug associations relevant to the field of dermatology.

Assessment of provider-perceived barriers to clinical use of pharmacogenomics during participation in an institutional implementation study.

The objective of this study was to study provider attitudes of and perceived barriers to the clinical use of pharmacogenomics before and during participation in an implementation program. From 2012 to 2017, providers were recruited. After completing semistructured interviews (SSIs) about pharmacogenomics, providers received training on and access to a clinical decision support tool housing patient-specific pharmacogenomic results. Thematic analysis of SSI was conducted (inter-rater reliability κ≥0.75). Providers also completed surveys before and during study participation, and provider-perceived barriers to pharmacogenomic implementation were analyzed. Seven themes emerged from the SSI (listed from most frequent to least): decision-making, concerns with pharmacogenomic adoption, outcome expectancy, provider knowledge of pharmacogenomics, patient attitudes, individualized treatment, and provider interest in pharmacogenomics. Although there was prestudy enthusiasm among all providers, concerns with clinical utility, time, results accession, and knowledge of pharmacogenomics were frequently stated at baseline. Despite this, adoption of pharmacogenomics was robust, as patient-specific results were accessed at 64% of visits, and medication changes were influenced by provided pharmacogenomic information 42% of the time. Providers reported they had enough time to evaluate the information and the results were easily understood on 74 and 98% of surveys, respectively. Nevertheless, providers consistently felt there was insufficient pharmacogenomic information for most drugs they prescribed and clear guidelines for using pharmacogenomic information were lacking. Despite initial concerns about adequate time and knowledge for adoption, providers frequently utilized pharmacogenomic results. Provider-perceived barriers to wider use included lack of clear guidelines and evidence for most drugs, highlighting important considerations for the field of pharmacogenomics.

Design and Implementing Pharmacogenomics Study in Cancer.

The advances in technology has shifted healthcare from a "one size fits all" model to focus on personalized therapy. Understanding the relationship of genome variations and its effect on drug response has led to individualized drug selection, maximizing drug efficacy and improving toxicity profile. The developments in pharmacogenomics has led to the discovery of predictive and prognostic biomarkers, and has transformed cancer research leading to the creation of pharmacogenomics databases. While challenges associated with the implementation of pharmacogenomics based medicine exist, integrating data amongst collaborative networks will be crucial for researchers to identify all the functional elements of the human genome sequence. Future advances in the area of pharmacogenomics research will eventually lead to the identification of the right therapeutic drug for the right patient.

Implementation of a pharmacogenomics education program for pharmacists.

The development, implementation, and evaluation of a pharmacogenomics education program for pharmacists in a large, integrated multicampus health system are described. Pharmacogenomics has been described as tailoring medications to each patient's unique genetic sequence with the goals of minimizing harmful effects and optimizing therapeutic effects. Pharmacists are uniquely trained to lead the implementation of pharmacogenomics in clinical care. After assessment of pharmacists' comfort with pharmacogenomics, different approaches were explored to develop, pilot test, and disseminate pharmacogenomics education across a multicampus academic medical center. Limited success with large-audience, single-lecture didactic education led to development and delivery of targeted, competency-based online modules using the institution's academic virtual learning environment and course management system. Implementation steps included (1) collaboration with the Mayo Clinic Center for Individualized Medicine to create an interprofessional development team and project charter, (2) galvanizing pharmacy leadership support across multiple campuses, (3) development of competency-based interactive modules, and (4) assessment of the quality of and learner satisfaction with the modules. Significant improvements in competency scores were observed with each module and across the multiple campuses. Satisfaction with the education program was assessed at the end of a 4-module series. A pharmacogenomics educational program targeting pharmacists was developed through interprofessional collaboration and provided a novel opportunity to construct an educational infrastructure to support enterprise health-system campuses with limited educational resources.

A survey using qualitative research of pharmacists' awareness toward communication with dementia patients at community pharmacies in Japan

The primary objective was to identify the proportion of patients who successfully completed PGx testing. Secondary objectives included determining the proportion of patients with actionable PGx results, determining the proportion of patients with a baseline medication intervention within 6 months of successfully completing PGx testing, and identifying barriers for not completing testing.This was a single center, non-interventional, retrospective cohort study, approved by the institutional review board.Patients included were 65 years of age or older and referred for PGx testing from geriatric outpatient clinics between May 1, 2019 and July 31, 2020.This study aimed to assess the implementation of pharmacist-led pharmacogenomics (PGx) in the care of community-dwelling older adults in an outpatient clinic. Little is known about the acceptance and impact of this type of service within this population.Of the 67 patients included, majority were female (78%), white (76%), and an average age of 78 years ± 5.98 SD. Majority were insured by Original Medicare or Medicaid (61%), had a history of cognitive impairment (84%), had a referring diagnosis of anxiety (40%) or depression (67%), and were prescribed a selective serotonin reuptake inhibitor (69%) at baseline. Majority successfully completed PGx testing (72%), with 72% having actionable PGx findings and 83% having a pharmacological intervention made thereafter. Nineteen patients did not complete testing (28%), with the primary barrier being not having an appointment scheduled (63%).This study demonstrated majority of older adults were accepting of PGx testing and majority of findings were relevant to clinical care of anxiety, depression, or cognitive impairment.

Teaching Students in Clinical Programs About Pharmacogenomics: Do they Understand Drug–Drug Interactions?

Teaching the clinical implementation of pharmacogenomics to students in clinical programs first requires careful consideration of their aptitude in basic clinical pharmacologic concepts. Prior to developing training exercises on drug-gene interactions, educators must first assess student competency in identifying and managing drug-drug interactions given the similarities in identifying and managing these sources of medication error.