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PubMed2001

Microchips, microarrays, biochips and nanochips: personal laboratories for the 21st century.

Micro miniaturization of analytical procedures is having significant impact on diagnostic testing, and will enable highly complex clinical testing to be miniaturized and permit testing to move from the central laboratory into non-laboratory settings. The diverse range of micro analytical devices includes microchips, gene chips, bioelectronic chips. They have been applied to several clinically important assays (e.g., PCR, immunoassay). The main advantages of the new devices are integration of multiple steps in complex analytical procedures, diversity of application, sub-microliter consumption of reagents and sample, and portability. These devices form the basis of new and smaller analyzers (e.g., capillary electrophoresis) and may ultimately be used in even smaller devices useful in decentralized testing (lab-on-a-chip, personal laboratories). The impact of microchips on healthcare costs could be significant via timely intervention and monitoring, combined with improved treatments (e.g., microchip-based pharmacogenomic tests). Empowerment of health consumers to perform self-testing is limited, but microchips could accelerate this process and so produce a level of self-awareness of biochemical and genetic information hitherto unimaginable. The next level of miniaturization is the nanochip (nanometer-sized features) and the technological foundation for these futuristic devices is discernable in nanotubes and self-assembling molecular structures.

Miniaturization↗

PubMed2005

Improving pharmacotherapy outcomes by pharmacogenomics: from expectation to reality?

The genomic era is now a reality and the extraction of genomic information with a practical value in healthcare represents the next challenge following the completion of the Human Genome Project. To this end, the first pharmacogenomics test approved by the US Food & Drug Administration for assessing cytochrome P450 (CYP)2D6 and CYP2C19 genotype in the implementation of pharmacotherapy decisions in patients, is expected to improve pharmaceutical care outcomes, at least for drugs that are substrates or inhibitors of these enzymes. Furthermore, the progress already achieved and the experience gained in the fields of pharmacogenomics and personalized medicine has clearly demonstrated that an interdisciplinary approach could better serve the target of improving pharmacotherapy outcomes in routine clinical practice. Such an approach will obviously move drug prescription towards pharmacotyping, a stage where the drug selection and dosage process carried out by medical practitioners for any given patient will be advanced by genomic knowledge and information.

Dose-Response Relationship, Drug↗

PubMed2005

Improving cancer therapeutics by molecular profiling.

The individualized medicine aims to identify the molecular basis of the individual's response to different therapeutic treatments. Individualized medicine is very relevant for human diseases such as cancer and it has become a major task to accomplish more efficient and specific therapeutics. An individualized response to treatment could underline therapeutic success or failure and, even more, could support the rationale for good or bad prognosis. The use of up to date genomic approaches is changing the way we understand modern medicine in terms of drug efficacy, toxicity and diagnosis. Results from genetic polymorphism studies, gene expression profiling and epigenetics illustrate how pharmacogenomic testing will contribute to the goal of individualized medicine. Antineoplastic drugs are designed to block the anomalous activity of specific molecules (therapeutic targets) that regulate cellular processes such as cell cycle. Understanding the relationship between molecular changes in therapeutic targets and enhanced antitumoral response or chemotherapeutic resistance is crucial to establish the clinical relevance of genomic approaches. The goal of this review is to discuss the basic and the clinical significance of genomic research on drug targets and its impact on the early diagnosis and treatment of cancer. We will also assess how these methodologies could contribute to individualized medicine in oncology. A special focus will be put on oncogenes and tumor suppressor genes. Aspects such as drug efficacy, side effects and the diagnostic value of antineoplastic pharmacogenomic research will be also considered.

Antineoplastic Agents↗

PubMed2026

Genomic Medicine Sweden: Advancing precision medicine at the national level.

High-throughput sequencing has transformed clinical diagnostics of rare diseases (RD), cancer and infectious diseases by enabling the identification of disease-causing genetic alterations and facilitating individualised treatment and care. In response to these advances, Genomic Medicine Sweden (GMS) was established in 2017 as a national collaborative effort to accelerate implementation of genomics-based precision medicine within Sweden's regionally organized, publicly funded healthcare system. GMS brings together the seven university healthcare regions and their associated medical faculties, in collaboration with healthcare regions across Sweden, Science for Life Laboratory, patient organizations, industry and governmental agencies. Activities are coordinated through national disease-specific expert groups, supported by cross-cutting functions in bioinformatics, health economics, ethics, education and patient engagement. At the operational level, seven Genomic Medicine Centres, embedded at university hospitals, develop and deliver harmonised genomic diagnostics nationwide. The National Genomics Platform provides secure infrastructure for large-scale data storage, analysis, and national and international data sharing. Following initial project-based funding, GMS now receives long-term governmental support. This review describes the national implementation of genomic-based precision diagnostics, discusses challenges and lessons learnt, and highlights key milestones across disease areas, including whole-genome sequencing in RD and paediatric cancer, comprehensive genomic profiling of haematological malignancies and solid tumours, pathogen genomics in microbiology, pharmacogenomic testing and emerging applications of polygenic risk scores in complex diseases. Collectively, these efforts have contributed to more than 500,000 genomic tests being performed within Swedish healthcare between 2017 and 2025. Finally, we outline future diagnostic needs and priority areas to ensure sustainable, scalable and equitable access to precision medicine.

Precision Medicine↗

PubMed2005

Pharmacogenomics of cholesterol-lowering therapy.

The prevention of cardiovascular disease is critically dependent on lipid-lowering therapy, including 3-hydroxymethyl-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors (statins), cholesterol absorption inhibitors, bile acid resins, fibrates, and nicotinic acid. Although these drugs are generally well tolerated, severe adverse effects can occur in a minority of patients. Furthermore, a subset of patients does not respond to cholesterol-lowering therapy with a reduction in coronary heart disease progression. Significant progress has been made in the identification of common DNA sequence variations in genes influencing the pharmacokinetics and pharmacodynamics of statins and in disease-modifying genes relevant for coronary heart disease (CHD). Among the most promising candidate genes for pharmacogenomic analysis of statin therapy are HMG-CoA reductase as a direct target gene and other genes modulating lipid and lipoprotein homeostasis. Based on data from pharmacogenetic trials, a combined analysis of multiple genetic variants in several genes is more likely to give significant results than single gene studies in small cohorts. In the future, pharmacogenomic testing may allow risk stratification of patients to avoid serious side effects and enable clinicians to select lipid-lowering drugs with the highest efficacy resulting in the best response to therapy.

Apolipoproteins E↗

PubMed2026

Human Variation-Informed Prioritization of MPHOSPH6 in Lung Adenocarcinoma: A Source-Aware Multiomics Evidence Framework.

Moving from an association signal to a clinically credible biomarker requires several links that are often conflated: verified variant identity, aligned allelic effects, reproducible gene-level association, relevant cellular expression, and a plausible functional consequence. We developed a source-aware multiomics framework to assess MPHOSPH6 in lung adenocarcinoma (LUAD) while keeping those evidence classes separate. Six prespecified rsIDs were recovered from the harmonized TRICL LUAD dataset, of which five reached p < 5 × 10 - 8. Only rs112333466 and rs76474922 were available with alignable alleles in FinnGen R10, and both showed concordant directions. Fixed-effect estimates were OR = 1.592 for rs112333466-T (95% CI, 1.401-1.809; p = 9.91 × 10 - 13) and OR = 0.819 for rs76474922-C (95% CI, 0.773-0.867; p = 1.03 × 10 - 11). In a prespecified two-variant GTEx v8 lung model, genetically predicted MPHOSPH6 expression was positively associated with LUAD in TRICL (Z = 3.341, p = 8.35 × 10 - 4) and FinnGen (Z = 2.697, p = 0.0070). This gene-level result did not establish colocalization or connect MPHOSPH6 to the six susceptibility rsIDs. Patient-level analysis of 89,241 immune cells from six paired tumor and normal-adjacent lung samples found no significant difference in MPHOSPH6 pseudobulk abundance (exact paired Wilcoxon p = 0.3125). None of 688 lung-lineage pharmacogenomic tests remained significant after false-discovery-rate correction. Ten recorded MPHOSPH6 missense alleles, including five ClinVar variants of uncertain significance, were curated; structural analysis identified I58 at an experimental RNA-exosome interface and defined a focused perturbation series. MPHOSPH6 is therefore supported as a human-variation-informed candidate for functional evaluation, not as a validated LUAD biomarker, pathogenic gene, drug-response predictor, or therapeutic target.

Humans↗

PubMed2002

Gentris corporation.

Gentris Corporation is engaged in the development and rapid commercialization of innovative proprietary clinical pharmacogenomic products and services. The company provides global pharmaceutical research organizations with turn-key pharmacogenomic solutions to improve the efficiency and predictability of drug development. The ultimate benefit to these organizations is to shorten drug development cycles, improve new drug approval rates and allow marginal drugs to advance towards final approval. In the near future, the company will develop specialized, high quality, reliable diagnostic products, which will provide physicians and their patients with access to pharmacogenomic testing, as personalized medicine becomes the new standard of medical practice.

Drug Industry↗

PubMed2002

Implications of dihydropyrimidine dehydrogenase on 5-fluorouracil pharmacogenetics and pharmacogenomics.

A prominent example of the potential application of pharmacogenomics and pharmacogenetics to oncology is the study of dihydropyrimidine dehydrogenase (DPD) in 5-fluorouracil (5-FU) metabolism. 5-FU is currently one of the most widely administered chemotherapeutic agents used for the treatment of epithelial cancers. DPD is the rate-limiting enzyme in the catabolism and clearance of 5-FU. The observation of a familial linkage of DPD deficiency from a patient exhibiting 5-FU toxicity suggested a possible molecular basis for variations in 5-FU metabolism. Molecular studies have suggested there is a relationship between allelic variants in the DPYD gene (the gene that encodes DPD) and a deficiency in DPD activity, providing a potential pharmacogenetic basis for 5-FU toxicity. In the last decade, studies have correlated tumoral DPD activity with 5-FU response, suggesting it may be a useful pharmacogenomic marker of patient response to 5-FU-based chemotherapy. This article reviews the basis and discusses the challenges of pharmacogenetic and pharmacogenomic testing of DPD for the determination of 5-FU efficacy and toxicity.

Antimetabolites, Antineoplastic↗

PubMed2005

Pharmacogenomics and drug development.

It is generally anticipated that pharmacogenomic information will have a large impact on drug development and will facilitate individualized drug treatment. However, there has been relatively little quantitative modeling to assess how pharmacogenomic information could be best utilized in clinical practice. Using a quantitative model, this review demonstrates that efficacy is increased and toxicity is reduced when a genetically-guided dose adjustment strategy is utilized in a clinical trial. However, there is limited information available regarding the genetic variables affecting the disposition or mechanism of action of most commonly used medications. These genetic factors must be identified to enable pharmacogenomic testing to be routinely used in the clinic. A recently described murine haplotype-based computational genetic analysis method provides one strategy for identifying genetic factors regulating the pharmacokinetics and pharmacodynamics of commonly used medications.

Animals↗

PubMed2002

Emerging ethical issues in pharmacogenomics: from research to clinical practice.

Pharmacogenomics holds much promise for the application of genetic information to the improvement of clinical care. Ethical issues for pharmacogenomics arise at the intersection of the spheres of drug development and genetic testing. Clinical drug trial designs which use subject selection based on genotype must consider the features of scientific validity, social value and risk-benefit ratio, and later, the impact of this strategy on post-market studies and clinical use of drugs. Although the testing context for pharmacogenomic tests is different from other genetic tests, decisions to use any new clinical tests in medical practice will require evaluation of not only the benefit linked to improved drug use but also the risks arising in part from the scale of testing, predictive value and collateral potential of the genetic test. Integration of pharmacogenomic information into clinical practice will require clinical trials to assess their clinical usefulness, including the impact of tests on therapeutic outcomes. Trials will also be needed to demonstrate the effectiveness of education, informed consent and counseling.

Animals↗

PubMed2026

Prevalence of pharmacogenomically implicated prescriptions in multi-ethnic populations in Singapore.

AIM: To assess the potential impact of implementing pre-emptive pharmacogenomic (PGx) testing in Singapore, focusing on prevalence and genetic actionability of PGx prescriptions. METHODS: Electronic Health Records from 2014 to 2021 were obtained from the National University Hospital (NUH), a tertiary medical centre serving approximately 6% of Singapore's population, which were filtered for pharmacogenomically implicated medicines (CPIC Level A or A/B), defined as PGx medications. Coupling this with published data of whole-genome sequencing of 9051 Singaporeans, we estimated the proportion of patients whose prescriptions might have been modified based on pre-emptive PGx at population level. RESULTS: From 2014 to 2021, a total of 1 157 359 unique patients were seen at NUH, with 38.1% to 43.0% of patients with prescriptions receiving at least one PGx medication annually, exhibiting minimal variance over year of prescription, sex or race/ethnicity. The most frequently prescribed PGx medications were omeprazole, statins and tramadol, while the most implicated pharmacogenes were CYP2C19, CYP2D6 and SLCO1B1. The age-dependent increase in PGx medication exposure varied significantly by sex, with males prescribed these medications earlier in life than females. Similarly, Indians and Malays were more likely to be prescribed these medicines at a younger age than Chinese. Based on frequency of PGx variants in Singaporeans, we estimate that 18.4% of patients could have their prescriptions modified from pre-emptive PGx testing. DISCUSSION: Pharmacogenomically implicated medication prescriptions are common in Singapore and are particularly prevalent in elderly populations. Strategic investments in infrastructure and policy development will be pivotal to the successful integration of pre-emptive PGx into clinical practice.

Asian genomes↗

PubMed2003

Using pharmacogenetics and pharmacogenomics in the treatment of psychiatric disorders: some ethical and economic considerations.

Current pharmacotherapies for psychiatric disorders are generally incompletely effective. Many patients do not respond well or suffer adverse reactions to these drugs, which can result in poor patient compliance and poor treatment outcome. Adverse drug reactions and non-response are likely to be influenced by genetic polymorphisms. Pharmacogenetics holds some promise for improving the treatment of mood disorders by utilising information about genetic polymorphisms to match patients to the drug therapy that is the most effective with the fewest side effects. Pharmacogenomics promises to facilitate the development of new drugs for treatment. However, these technologies raise many ethical, economic and regulatory issues that need to be addressed before they can be integrated into psychiatry, and medicine more generally. We discuss ethical and policy issues arising from pharmacogenetic testing and pharmacogenomics research, such as informed consent, privacy and confidentiality, research on vulnerable persons and discrimination; and economic viability of pharmacogenetics and pharmacogenomics. We conclude with recommendations for the regulation and distribution of pharmacogenetic testing services and pharmacogenomic drugs.

Central Nervous System Agents↗

PubMed2025

Pharmacogenomic Assessment of Genes Implicated in Thiopurine Metabolism and Toxicity in a UK Cohort of Pediatric Patients With Inflammatory Bowel Disease.

BACKGROUND: Thiopurine drugs are effective treatment options in inflammatory bowel disease and other conditions but discontinued in some patients due to toxicity. METHODS: We investigated thiopurine-induced toxicity in a pediatric inflammatory bowel disease cohort by utilizing exome sequencing data across a panel of 46 genes, including TPMT and NUDT15. RESULTS: The cohort included 487 patients with a median age of 13.1 years. Of the 396 patients exposed to thiopurines, myelosuppression was observed in 11%, gastroenterological intolerance in 11%, hepatotoxicity in 4.5%, pancreatitis in 1.8%, and "other" adverse effects in 2.8%. TPMT (thiopurine S-methyltransferase) enzyme activity was normal in 87.4%, intermediate 12.3%, and deficient in 0.2%; 26% of patients with intermediate activity developed toxicity to thiopurines. Routinely genotyped TPMT alleles associated with defective enzyme activity were identified in 28 (7%) patients: TPMT*3A in 4.5%, *3B in 1%, and *3C in 1.5%. Of these, only 6 (21%) patients developed toxic responses. Three rare TPMT alleles (*3D, *39, and *40) not assessed on routine genotyping were identified in 3 patients, who all developed toxic responses. The missense variant p.R139C (NUDT15*3 allele) was identified in 4 patients (azathioprine 1.6 mg/kg/d), but only 1 developed toxicity. One patient with an in-frame deletion variant p.G13del in NUDT15 developed myelosuppression at low doses. Per-gene deleteriousness score GenePy identified a significant association for toxicity in the AOX1 and DHFR genes. CONCLUSIONS: A significant association for toxicity was observed in the AOX1 and DHFR genes in individuals negative for the TPMT and NUDT15 variants. Patients harboring the NUDT15*3 allele, which is associated with myelosuppression, did not show an increased risk of toxicity.

Humans↗

PubMed2004

Legal implications of pharmacogenomics regarding drug trials, drug labeling, and genetic testing for drug prescription: an international approach.

Pharmacogenomics applies genomic technology to discover and develop drugs as well as to treat patients more effectively. This article addresses legal questions raised by pharmacogenomics, from drug development to drug use. Part II defines pharmacogenomics in further detail and explains the use of pharmacogenomics in drug development. Part III identifies potential legal questions raised by this approach to drug development and delivery. Parts IV to VIII offer possible solutions to these potential problems, analyzing the law in both the United States and the European Union (EU).

Clinical Trials as Topic↗

PubMed2003

Pharmacogenomic analysis of interferon receptor polymorphisms in multiple sclerosis.

Multiple sclerosis (MS) is a common inflammatory disease of the central nervous system characterized by progressive neurological dysfunction. No curative therapy is currently available, and approximately 80-90% of afflicted individuals are ultimately disabled. Interferon beta (IFNbeta) has been shown to decrease clinical relapses, reduce brain disease activity, and possibly slow progression of disability. However, the overall effect of treatment is partial and a substantial number of patients are considered poor or nonresponders. For this report, we tested the pharmacogenomic effects of eight polymorphisms in the interferon receptor genes (IFNAR1 and IFNAR2) in a group of 147 patients undergoing open-label IFNbeta therapy. Overall, no significant differences in the distribution of responders and nonresponders, classified based on prospectively acquired primary and secondary clinical end points, were observed when stratified by any of the studied IFNAR gene polymorphisms. A trend detected with a single nucleotide polymorphism SNP 16469 (A/T) located at the third intron of the IFNAR1 gene, suggesting modest association with relapse-free status, will require confirmation in an independent data set. In addition, no significant association was observed of any of the IFNAR gene polymorphisms with susceptibility to MS, as studied by a family-based association analysis.

Adolescent↗

PubMed2024

Associations between (pharmaco-)genetic markers and postoperative pain after inguinal hernia repair - a prospective study protocol.

BACKGROUND: Postoperative pain is a common complication following surgery, with severity and duration varying between patients. Chronic postoperative pain after inguinal hernia surgery has an incidence rate of approximately 10%. Risk factors for acute and chronic pain following hernia surgery include age, sex, psychosocial factors, and demographic background. Additionally, genetic polymorphisms in enzymes involved in pain mechanisms, as well as the metabolism of analgesics might influence pain perception, pain development, and response to pain medications. Key enzymes include the catechol-o-methyltransferase (COMT), the µ-opioid receptor 1 (OPRM1), and the cytochrome P450 2D6 (CYP2D6). CYP2D6 plays a crucial role in metabolizing analgesics such as tramadol, codeine, and oxycodone. It is also suspected to be involved in the synthesis of catecholamines and endogenous morphines suggesting a potential role in pathophysiology of pain. We hypothesize that the CYP2D6 activity influences the development of postoperative pain after hernia surgery. METHODS: This study is a prospective, observational, multicenter association study investigating adult patients scheduled for inguinal hernia surgery using a robotic-assisted (rTAPP) approach. Patients are enrolled during the preoperative surgical consultation. A buccal swab is collected for genetic testing at this time. Pain at the site of the hernia is assessed using the validated EuraHSQoL score preoperatively and at 2, 4, and 6 weeks postoperatively. Additionally, information on co-medication and details of the surgery will be collected. The planned number of participants is 350 patients. The primary objective is to analyze the association between different genotype-predicted CYP2D6 phenotypes and patient-reported pain intensity 6 weeks after surgery. Secondary objectives include the association between further genetic variants, such as the COMT rs4680 and OPRM1 rs1799971 genotype, and pain severity. Additionally, the potential of pharmacogenetic panel testing to optimize analgesic therapy in hernia surgery patients will be explored. DISCUSSION: The findings of this study are expected to provide valuable insights into identifying patients at higher risk for postoperative pain before surgery. This knowledge could pave the way for tailored interventions during and after surgery for these specific patients. TRIAL REGISTRATION: Deutsches Register Klinischer Studien https://www.drks.de/DRKS00034796 Registered on August 07, 2024.

Genetic Association Studies↗

PubMed2026

Fluoropyrimidine Cardiotoxicity: Role of Uridine Triacetate and Pharmacogenomic Insights from a Case of 5-FU-Induced Cardiogenic Shock.

Fluoropyrimidines, including 5-fluorouracil and capecitabine, are widely used antimetabolite agents and remain central to the treatment of several solid tumors, particularly gastrointestinal malignancies. However, they are a well-established cause of chemotherapy-related cardiotoxicity. Although coronary vasospasm is the best recognized manifestation, fluoropyrimidine cardiotoxicity encompasses a broad clinical spectrum, ranging from chest pain and arrhythmias to acute heart failure, and, rarely, fulminant cardiogenic shock. This review discusses severe fluoropyrimidine-associated cardiotoxicity through the illustrative presentation of a young woman without previous cardiovascular disease who developed acute biventricular dysfunction and cardiogenic shock shortly after first exposure to FOLFIRINOX, requiring temporary mechanical circulatory support. Administration of uridine triacetate within the recommended therapeutic window was associated with rapid recovery of ventricular function. Cardiac magnetic resonance imaging demonstrated diffuse myocardial edema without late gadolinium enhancement, consistent with reversible toxic-inflammatory myocardial injury. Expanded genomic analysis identified dihydropyrimidine dehydrogenase and thymidylate synthase variants not detected by standard pretreatment pharmacogenetic screening. In this study we examine the pathophysiological mechanisms of fluoropyrimidine cardiotoxicity, the rationale for uridine triacetate in severe presentations, and the potential role of expanded pharmacogenomic profiling within a precision cardio-oncology framework.

Humans↗

PubMed2003

Integrating pharmacokinetics knowledge into a drug ontology: as an extension to support pharmacogenomics.

The newly developed U.S. Common Medication Information Infrastructure was used as a basis to capture and formally express the properties of drugs relevant to research and the clinical application of pharmacogenomics. Two associated taxonomies within the model, Mechanism of Action and Physiologic Effect, were enriched to accommodate pharmacogenomic use-cases; the 4,000 active ingredients in the VA NDF-RT drug file were related to the enhanced taxonomies. Pharmacokinetics were independently modeled for pharmacogenomics and tested against thirty-one high-profile drugs to demonstrate our approach.

Databases as Topic↗