PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Pharmacogenomics”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources
PubMed2005

Pharmacogenomics education: International Society of Pharmacogenomics recommendations for medical, pharmaceutical, and health schools deans of education.

Pharmacogenomics would be instrumental for the realization of personalized medicine in coming decades. Efforts are evident to clarify the potential bioethical, societal, and legal implications of key pharmacogenomics-based technologies projected to be soon introduced into the core practice of medicine. In sharp contrast, a lack of sufficient attention to educational aspects of pharmacogenomics, both for professionals and for society at large, is evident. In order to contribute to this discussion, a 'Pharmacogenomics Education Forum' was held on October 2, 2004 during the 3rd Annual Meeting of the International Society of Pharmacogenomics (ISP) at Santorini, Greece. The participants, members of the ISP Pharmacogenomics Education Forum, after deliberate discussions, proposed a document of 'Background Statement' and 'Recommendations and Call for Action' addressed to Deans of Education at Medical, Pharmaceutical, and Health Schools globally. This document has been considered by the education committee of the International Society of Pharmacogenomics and the result is presented here. We hope that this call would be listened to, and soon followed by beneficial action, ultimately leading to enhanced implementation of personalized medicine into core medical education and practice.

Curriculum↗
PubMed2000

Clinical trials in pharmacogenetics and pharmacogenomics: methods and applications.

Clinical and other aspects of pharmacogenetics and pharmacogenomics are discussed. Pharmacogenetics is the study of the impact of heritable traits on pharmacology and toxicology. An extension of pharmacogenetics is the discovery that genetic polymorphisms have the potential to affect a drug's action. The interplay of genotype and drug efficacy has been defined as pharmacogenomics. For most drugs, variations in patient response have until recently been considered a result of pharmacokinetic rather than pharmacodynamic differences. However, it now seems that pharmacodynamic variability in humans is large, reproducible, and usually more pronounced than pharmacokinetic variability. Some examples of the impact of pharmacogenomics on pharmacokinetics involve cytochrome P-450 isoenzymes, dihydropyrimidine dehydrogenase, and thiopurine methyltransferase; some examples of the impact on pharmacodynamics involve cholesteryl ester transfer protein, angiotensin-converting enzyme, and serotonin transporter. There are no specific statistical techniques for analyzing data from pharmacogenomic clinical trials. However, a tabulated relationship for the determination of the maximum possible gain in response rate for the highest-responding genotypic subgroup of patients is provided as an aid to determining whether it is worth having a pharmacogenomic strategy for a given drug. Ethical issues in pharmacogenomics tend to be based on the general concern that the ability to diagnose a genetic disorder before any treatment is available does more harm than good to the patient. Pharmacogenomic approaches to drug discovery and delivery have been recognized by FDA. Pharmacogenomics cannot improve the efficacy of a given drug, but it helps in selecting patients who are likely to respond well. Pharmacogenomics provides a view of drug behavior and sensitivity useful to improving the efficacy of drug development and utilization.

Base Sequence↗
PubMed2000

Assessing the cost-effectiveness of pharmacogenomics.

The use of pharmacogenomics to individualize drug therapy offers the potential to improve drug effectiveness, reduce adverse side effects, and provide cost-effective pharmaceutical care. However, the combinations of disease, drug, and genetic test characteristics that will provide clinically useful and economically feasible therapeutic interventions have not been clearly elucidated. The purpose of this paper was to develop a framework for evaluating the potential cost-effectiveness of pharmacogenomic strategies that will help scientists better understand the strategic implications of their research, assist in the design of clinical trials, and provide a guide for health care providers making reimbursement decisions. We reviewed concepts of cost-effectiveness analysis and pharmacogenomics and identified 5 primary characteristics that will enhance the cost-effectiveness of pharmacogenomics: 1) there are severe clinical or economic consequence that are avoided through the use of pharmacogenomics, 2) monitoring drug response using current methods is difficult, 3) a well-established association between genotype and clinical phenotype exists, 4) there is a rapid and relatively inexpensive genetic test, and 5) the variant gene is relatively common. We used this framework to evaluate several examples of pharmacogenomics. We found that pharmacogenomics offers great potential to improve patients' health in a cost-effective manner. However, pharmacogenomics will not be applied to all currently marketed drugs, and careful evaluations are needed on a case-by-case basis before investing resources in research and development of pharmacogenomic-based therapeutics and making reimbursement decisions.

Anticholesteremic Agents↗
PubMed2004

The role of cost-effectiveness analysis in the era of pharmacogenomics.

The broad availability of genetic information and technologies heralds an era when practitioners will utilise genomic testing to individualise patients' care. Pharmacogenomics uses a spectrum of approaches to explore the association of genetic variation with drug efficacy or toxicity. Investigators have described a broad array of genetic polymorphisms that confer inter-individual differences in drug response. Pharmacogenomics offers the potential to improve drug effectiveness, reduce adverse drug reactions and provide cost-effective care. However, it has had little impact on current clinical practice and the economic implications of pharmacogenomics remain unclear. Assessing the incremental cost effectiveness of a pharmacogenomic strategy involves examination of factors associated with the genotype of interest, the genomic test, the disease state and the treatment. A pharmacogenomic strategy is likely to be cost effective when: (i) the polymorphism under consideration is prevalent in the population and has a high degree of penetrance; (ii) genetic testing is highly sensitive and specific, and less costly alternative tests that could be used to individualise therapy are not readily available; (iii) the disease state involves outcomes with significant morbidity or mortality if left untreated; and (iv) the treatment involves significant outcomes and/or costs that can be impacted by genotype-individualised therapy. We foresee pharmacogenomic applications being particularly relevant for drugs: with a narrow therapeutic index or a high degree of variability in inter-individual response; where there are limitations in current methods for monitoring their adverse effects and treatment responses; and where there are few alternative treatment options. Because of the characteristics of chemotherapeutic agents and the severity of clinical outcomes in cancer, oncology appears to be one of the most appropriate disease areas for the application of pharmacogenomics. We have developed a framework which can assist researchers, pharmacists, physicians, and policy makers in evaluating the implications of specific strategies, and identifying when formal cost-effectiveness analyses should be conducted to quantitatively evaluate the benefits of pharmacogenomics.

Cost-Benefit Analysis↗
PubMed2004

Pharmacogenomic-guided rational therapeutic drug monitoring: conceptual framework and application platforms for atypical antipsychotics.

Atypical antipsychotic agents such as aripiprazole, clozapine, olanzapine, quetiapine and ziprasidone offer many advantages over conventional neuroleptics. These agents reduce negative symptoms of schizophrenia, are effective in treatment refractory cases, and have a markedly lower incidence of extrapyramidal symptoms and tardive dyskinesia. However, there is considerable patient-to-patient variability in therapeutic dose requirements of atypical antipsychotics and the propensity for side effects. Hence, the initial excitement since the introduction of atypical antipsychotics in late 1980s is now shifting towards a focus on individualization of pharmacotherapy and elucidation of the mechanistic basis of interindividual variability in drug response with use of pharmacokinetic and pharmacodynamic biomarkers. Pharmacogenomics, introduced in late 1990s, is the study of variability in drug response using information from the entire genome of a given individual patient. Both pharmacogenomics and conventional therapeutic drug monitoring (TDM) share the similar goal of improving pharmacotherapy through better explanation of individual variability in drug response. Hence, pharmacogenomic biomarkers offer a unique opportunity to complement and expand the scope of traditional TDM in clinical psychopharmacology. Importantly, pharmacogenomics enables the investigation of factors distal to drug exposure in the plasma compartment (e.g. drug targets at the biophase), thereby providing a more complete portrayal of sources of variability in psychotropic drug response. We discuss (1). the definitions for biomarkers and surrogate endpoints in the context of pharmacogenomics, (2). genetic variations in isozyme-specific atypical antipsychotic metabolism in vivo, (3). selected examples of pharmacogenomic variability in pertinent drug targets and, (4). the anticipated roadmap from implementation of pharmacogenomics to changes in healthcare and therapeutic policy. In addition, a conceptual framework that outlines the theoretical advantages of pharmacogenomics-guided TDM is presented using recent clinical applications as precedence.

Antipsychotic Agents↗
PubMed2006

Applying pharmacogenomics to enhance the use of biomarkers for drug effect and drug safety.

Pharmacogenomics is used to improve patient outcome by maximizing the likelihood of desired effects and minimizing the risk of adverse events using an individual's genetic profile. As such, pharmacogenomics can be used to improve current risk-management strategies (improving the risk-benefit balance). Two areas of great promise for pharmacogenomics in this regard are emerging: (i) the pharmacogenomics of modulating disease biomarkers (to provide insight into novel mechanisms of drug response and to identify the patients most likely to respond to a drug in a favorable way); and (ii) using pharmacogenomics to enhance drug safety. Given that novel biomarkers could enable the earlier detection of many diseases and more-widespread therapies for primary prevention, pharmacogenomics provides the opportunity to identify the patients most likely to respond to these therapies, thereby preserving valuable health-care resources. The use of pharmacogenomics in pharmacovigilance could also be useful for risk-stratifying patients and for helping to identify the mechanisms involved in adverse events.

5-Lipoxygenase-Activating Proteins↗
PubMed2001

Ethical, social and legal implications of pharmacogenomics: a critical review.

OBJECTIVE: My aim was to examine the ethical, social and legal implications of pharmacogenomics. METHODS: I performed a critical review of the literature. The primary focal point is the bioethical principle discussed. The second outcome measure is the perspective of the discussion. RESULTS: This review documents that the pharmacogenomics issues of concern are comparable to issues concerning other genetic developments in general. However, two main issues are particular to the case of pharmacogenomics. Firstly, this review reveals that society, industry, groups and individuals appreciate the prospect of pharmacogenomics very differently. Secondly, there is a lack of research into the post-marketing implications of pharmacogenomics. CONCLUSION: An extensive focus on the ethical, social and legal implications of pharmacogenomics, in terms of both pre- as well as post-marketing issues, is essential. Also, a multidisciplinary approach which includes individual and group opinions in an upfront manner in the research and development process is essential. Otherwise, there is a substantial risk that the positive prospects of pharmacogenomics will not survive due to fear and a lack of acceptance and understanding on the part of the general public.

Attitude↗
PubMed2001

4th Annual Pharmacogenomics and Medicine Lectures.

In the future, pharmacogenomics will play an important role in the treatment of patients by making it possible to predict drug response based on an individual's genetic make-up. Similarly, pharmacogenomics may be used to reduce the probability that adverse effects will occur. The use of a patient's genetic information will lead to greater predictability in clinical outcomes and personalisation of medical care. Pharmacogenomic information can also aid in drug development by helping to select individuals that are likely to respond to a medication for participation in clinical trials. Integration of pharmacogenomics into the healthcare system has a number of potential economic benefits, including reduced costs of healthcare and drug discovery. The FDA has no specific plans to regulate therapy-guiding pharmacogenomic tests, which are different from diagnostic genetic tests. There are a number of ethical issues related to pharmacogenomics, including the credibility of the system for protecting the rights and welfare of human research subjects, general concerns about genetic research, privacy issues and equitable distribution of the technology. To ensure integration of pharmacogenomics into the healthcare system it will be important to obtain public support through education about the benefits and risks of this technology.

Delivery of Health Care↗
PubMed2003

Pharmacogenetics and pharmacogenomics: recent developments, their clinical relevance and some ethical, social, and legal implications.

In recent debates on novel procedures of molecular medicine pharmacogenomics is attracting more and more attention as a genotype-based approach for improving safety and efficacy of the use of therapeutic substances. Promoted by basic knowledge generated in the field of medical genomics, facilitated by novel technological tools for mapping genetic variation in individuals, and supported by results of initial clinical studies linking specific genotypes to metabolic characteristics of individuals important for assessing drug response, procedures of pharmacogenetics and pharmacogenomics now are starting to impact significantly on clinical research and development and medical practice. In this situation assessing the goals, risk, and benefits of pharmacogenetics and pharmacogenomics is essential for the medically successful, ethically justifiable, and socially acceptable implementation of genotype-based diagnosis and pharmacotherapy. We discuss the current state of the art in pharmacogenetics and pharmacogenomics and introduce a model for evidence based assessment of its goals, risk, and benefits. We differentiate here between pragmatic and normative issues in the development of pharmacogenomics in order to contrast prevailing, insufficiently interest-based modes of public technology assessment with the evidence-based mode that can be established as part of clinical study design. Finally, we provide a framework for the analysis of social accountability that can be used for technology development and technology assessment with regard to pharmacogenomics in particular and molecular medicine in general.

Clinical Medicine↗
PubMed2006

Pharmacogenomics for the forensic toxicologist.

Pharmacogenomics is the study of the linkage between an individual's genotype and the disposition of drugs in the body. The first association between adverse drug reactions and inherited variations was recognized in the 1950s, and since then, pharmacogenomics has come a long way. The importance of pharmacogenomics is accentuated by the incidence of adverse drug reactions, which may account for hospital expenditures of up to 5.6 billion dollars annually. Interindividual variations in drug metabolism are often the result of genetic variants or genetic polymorphisms, and polymorphisms have been known to alter the relationship between dose and plasma drug concentration. Drug disposition can be affected by polymorphisms in drug metabolizing enzymes, drug transport proteins, and drug targets. The cytochrome P450 (CYP) enzymes are responsible for the metabolism of a large number of drugs. Polymorphisms of the CYP enzymes have been well documented, and CYP2D6 is the most polymorphic CYP enzyme. However, there is a relative dearth of research on the role of transport proteins and drug targets. This review attempts to provide a brief synopsis of the pharmacogenomics of some common drug-metabolizing enzymes, transport proteins, and targets. The examples of tramadol, methadone, and oxycodone are used to illustrate the potential role of pharmacogenomics in forensic toxicology. Pharmacogenomics may present a practicable hypothesis in cases of incongruence between dose and plasma drug concentration, and the possibility of genotype-mediated drug plasma levels needs to be considered.

Biotransformation↗
PubMed2003

Rhetoric and hype: where's the 'ethics' in pharmacogenomics?

There is increasing discussion in public and academic forums about the anticipated benefits of pharmacogenomics, as well as the attendant social and ethical implications of this research. Yet there is often an implicit assumption that the benefits of pharmacogenomics are 'just around the corner' and will significantly outweigh the costs. Furthermore, it is argued that the associated ethical issues are not as profound as those that emerge in other areas of genetics, and that experience gained wrestling with these other issues provides ample ethical and regulatory tools to deal with any problems arising with pharmacogenomics. We contend that this vision of ethical and social issues associated with pharmacogenomics is not so clear-cut. The scientific evidence is more complex and contested than the public, academics, and policy makers, have been led to believe, and while there may be real clinical benefits from this research, they are not likely to arrive in the near future. Pharmacogenomics research is also occurring in a terrain occupied by a multitude of different and powerful actors, with diverse and often competing interests. It is therefore essential to investigate the broader social and political context, unravel the various interests pressuring for early implementation, and deconstruct the hype in order to appreciate a fuller range of ethical and social consequences associated with the current developments of pharmacogenomics.

Animals↗
PubMed2006

Teaching and practicing pharmacogenomics: a complex matter.

This opinion is a reply to the following article: Flordellis CS: The emergence of a new paradigm of pharmacogenomics. Pharmacogenomics 6(5), 515-526 (2005). Systems biology is likely to become a leading paradigm in molecular biology in coming decades. In pharmacogenomics, complexity is rapidly increasing as more genomics and proteomics data become available. Tackling this complexity by employing a systems approach seems to be a promising strategy. The introduction of this new paradigm will reshape both professional education and clinical practice. Professionals in medicine and the life sciences must be prepared to adapt to this new approach. However, systems-based pharmacogenomics is unlikely to be ready for clinical application in near future. In order to benefit patients today, the already available options of pharmacogenomics should be carefully implemented in clinical practice as soon as possible. Teaching the current, continuously updated knowledge of pharmacogenomics should not be postponed until the new paradigm arrives.

Humans↗
PubMed2003

Pharmacogenomics and drug response.

Following pioneer work in the early 20th century, the era of molecular pharmacogenomics started with the cloning of a polymorphic gene encoding the drug-metabolizing enzyme cytochrome P450-2D6. Today, recent conceptual and methodological advances in genomics allow a much broader approach to elucidating inheritance patterns in drug response and identification of functional polymorphisms, that affect drug response, has become a key issue. Despite recent euphoria about potential applications of pharmacogenomic principles, currently available pharmacogenomic data have had modest overall impact on the routine of drug therapy. Most data were derived from single gene approaches for select drug metabolizing enzymes with extreme phenotypes. Data on genetic determinants of drug distribution, absorption and response, however, are scarce and it seems that most events in the dose-response cascade follow a complex interplay of environmental factors with several genes encoding proteins in multiple pathways. Thus, there is great need for clinical studies on genotype-phenotype and gene environment interactions, based on multiple gene approaches. Major challenges also relate to practical aspects of clinical pharmacogenomic studies, e.g. appropriate data handling, selection of appropriate study designs and control groups and issues of prediction accuracy. To move to a clinically useful and predictive level in pharmacogenomics, much work remains to be completed. Nevertheless, it can be anticipated that for select drugs, pharmacogenomics may lead to a shift from the current strategy of developing medications for a statistically optimized fraction of patients to a strategy that aims to provide tailored medications for genetically diverse patients.

Dose-Response Relationship, Drug↗
PubMed2001

No pain relief from codeine...? An introduction to pharmacogenomics.

Drug treatment remains a mainstay of medicine. In some situations a drug unexpectedly has no effect, or unforeseen serious side effects occur. For the patient this represents a dangerous and potentially life-threatening situation. It certainly is a distressing experience for the doctor. At the societal level, adverse drug reactions represent a leading cause of disease and death. Genetic variation often underlies these unexpected situations. Pharmacogenetics is the term used about genetically determined variability in the metabolism of drugs. Pharmacogenomics usually refers to drug discovery based on knowledge of genes, but it is a discipline that offers insight into aetiologic mechanisms, and possible prevention and treatment. There is a trend towards a definition of pharmacogenomics that includes both pharmacogenetics and pharmacogenomics as defined above. Our article is an introduction to pharmacogenomics, using the broader definition. Biotechnological methods cannot be understood without a grasp of basic medical genetics, and we provide a brush-up on the fundamentals. We then outline pharmacogenetics, giving examples of genetically based variation in drug metabolising enzymes, drug receptors and drug transporting proteins. Modern biotechnology would be unthinkable without the aid of computers, and we briefly touch upon the field of bioinformatics. Finally, we give an overview of pharmacogenomics in the narrower sense. The rapidly growing field of pharmacogenomics is going to influence our everyday practice of medicine in the immediate future.

Adult↗
PubMed2026

Perceptions of Pharmacogenomic Testing Among People With Treatment Resistant Depression: Legitimization as a Facilitator of Acceptance.

Pharmacogenomic testing for psychiatric medications has been proposed as both an early intervention to optimize treatment response, and for use among patients who have tried multiple medications without symptom remission. Therefore, this testing may be particularly salient to the subset of individuals with major depressive disorder for whom depression has been labeled as "treatment resistant". Understanding the impact of this diagnostic label on illness identity and attitudes towards new therapies is important as genomic technology expands and rates of depression increase. We sought to explore perceptions and attitudes towards pharmacogenomic testing among individuals who had received a diagnosis of treatment resistant depression. We conducted a qualitative study with a constructivist orientation. Participants were recruited from a larger genomic research study and interviewed by phone or video call. We took an inductive approach to coding guided by reflexive thematic analysis. Themes were then organized into a relational framework following principles of interpretive description. Twelve individuals were interviewed. Key themes included internalized acceptance/hopelessness, and external validation/frustration, which were cyclically interconnected. These themes were situated within a larger framework illustrating the ways that illness identity and modifying factors such as relief of guilt, social support, pharmacogenomic testing and depressive symptoms can either facilitate acceptance and validation or contribute to feelings of hopelessness and frustration. Though participants expressed some skepticism around its effectiveness, pharmacogenomic testing may contribute to the shift towards acceptance and validation by legitimizing individuals' experiences with lack of treatment response. Genetic counselors and other healthcare providers should be aware of the complex balance between hope and frustration underlying conversations around pharmacogenomic testing, and factors that are more likely to foster self-acceptance.

Humans↗