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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↗

PubMed2026

Current knowledge in pharmacogenomics and precision medicine: perspectives of the PGRN global PGx committee on improving drug therapies in underrepresented ethnic populations.

A precision medicine strategy is likely to be more impactful, when pharmacogenomics (PGx) guided selection of drugs and dosage wherever applicable is implemented across the globe. In regions where resources are disproportionately distributed, PGx implementation in routine clinical care can play a critical role in ensuring the optimal use of limited healthcare infrastructure. At present, PGx data from the majority of the distinct ethnic populations across Asia, Africa, and South America is limited. While international consortia, working groups, and scientific bodies have made significant contributions toward evaluating the evidence for PGx implementation, the majority of existing guidelines and recommendations are derived primarily from studies conducted in a limited number of ethnic groups. Precision Medicine Initiatives in countries like Korea, Taiwan, and Malaysia and PGx organizations like the African Institute of Biomedical Science and Technology (AiBST), Consortium for Genomics & Therapeutics in Africa (CGTA), implementation of pharmacogenetic testing for the effective care and treatment in Africa, Greater Middle East (GME) whole exome sequencing program, Ibero-American Network of Pharmacogenetics and Pharmacogenomics (RIBEF), Latin American Society of Pharmacogenomics and Personalized Medicine (SOLFAGEM), Latin American Network for Validation and Implementation of Pharmacogenomic Clinical Guidelines (RELIVAF), IndiGen initiative, Southeast Asian Pharmacogenomics Research Network (SEAPharm), are working toward consolidating the PGx presence in these regions.

Precision Medicine↗

PubMed2025

Pharmacogenomics-based subtype decoded implications for risk stratification and immunotherapy in pancreatic adenocarcinoma.

BACKGROUND: With fatal malignant peculiarities and poor survival rate, outcomes of pancreatic adenocarcinoma (PAAD) were frustrated by non-response and even resistance to therapy due to heterogeneity across clinical patients. Nevertheless, pharmacogenomics has been developed for individualized-treatment and still maintains obscure in PAAD. METHODS: A total of 964 samples from 10 independent multi-center cohorts were enrolled in our study. With drug response data from the profiling of relative inhibition simultaneously in mixtures (PRISM) and genomics of drug sensitivity in cancer (GDSC) databases, we established and validated multidimensionally three pharmacogenomics-classified subtypes using non-negative matrix factorization (NMF) and nearest template prediction (NTP) algorithms, separately. The heterogenous biological characteristics and precision medicine strategies among subtypes were further investigated. RESULTS: Three pharmacogenomics-classified subtypes after stable and reproducible validation, distinguished in six aspects of prognosis, biological peculiarities, immune landscapes, genomic variations, immunotherapy and individualized management strategies. Subtype 2 was close to immunocompetent phenotype and projected to immunotherapy; Subtype 3 held most favorable outcomes and metabolic pathways distinctively, promising to be treated with first-line agents. Subtype 1 with worst prognosis, was anticipated to chromosome instability (CIN) phenotype and resistant to chemotherapeutic agents. In addition, ITGB6 contributed to subtype 1 resistance to 5-fluorouracil, and knockdown of ITGB6 enhanced sensitivity to 5-fluorouracil in in vitro experiments. Ultimately, appropriate clinical stratified treatments were assigned to corresponding subtypes according to pharmacogenomic transcripts. Some limitations were not taken into account, thus needs to be supported by more research. CONCLUSION: A span-new molecular subtype exploited for PAAD uncovered an insight into precise medication on ground of pharmacogenomics, and highly refined multiple clinical management strategies for specific patients.

Humans↗

PubMed2024

Towards genomic medicine: a tailored next-generation sequencing panel for hydroxyurea pharmacogenomics in Tanzania.

BACKGROUND: Pharmacogenomics of hydroxyurea is an important aspect in the management of sickle cell disease (SCD), especially in the era of genomic medicine. Genetic variations in loci associated with HbF induction and drug metabolism are prime targets for hydroxyurea (HU) pharmacogenomics, as these can significantly impact the therapeutic efficacy and safety of HU in SCD patients. METHODS: This study involved designing of a custom panel targeting BCL11A, ARG2, HBB, HBG1, WAC, HBG2, HAO2, MYB, SAR1A, KLF10, CYP2C9, CYP2E1 and NOS1 as potential HU pharmacogenomics targets. These genes were selected based on their known roles in HbF induction and HU metabolism. The panel was designed using the Illumina Design Studio (Illumina, San Diego, CA, USA) and achieved a total coverage of 96% of all genomic targets over a span of 51.6 kilobases (kb). This custom panel was then sequenced using the Illumina MiSeq platform to ensure high coverage and accuracy. RESULTS: We are reporting a successfully designed Illumina (MiSeq) HU pharmacogenomics custom panel encompassing 51.6 kilobases. The designed panel achieved greater than 1000x amplicon coverage which is sufficient for genomic analysis. CONCLUSIONS: This study provides a valuable tool for research in HU pharmacogenomics, especially in Africa where SCD is highly prevalent, and personalized medicine approaches are crucial for improving patient outcomes. The custom-designed Illumina (MiSeq) panel, with its extensive coverage and high sequencing depth, provides a robust platform for studying genetic variations associated with HU response. This panel can contribute to the development of tailored therapeutic strategies, ultimately enhancing the management of SCD through more effective and safer use of hydroxyurea.

Hydroxyurea↗

PubMed2026

Clinically Relevant Pharmacogenomic Variant Frequencies in Kazakh, Russian, and Uzbek Population Groups Residing in Kazakhstan.

Central Asian populations remain underrepresented in pharmacogenomic research, limiting the availability of population-specific data for genotype-informed prescribing and precision medicine. This study analyzed clinically relevant pharmacogenomic variant frequencies in Kazakh, Russian, and Uzbek population groups residing in Kazakhstan using genome-wide genotype data from 1301 individuals: Kazakh (n = 1111), Russian (n = 156), and Uzbek (n = 34). ClinPGx, a PharmGKB-based clinical annotation framework that prioritizes variant-drug associations according to levels of evidence, was used to select variants with evidence levels 1A, 1B, and 2A. In total, 112 directly genotyped variants were retained for population-specific allele and genotype frequency analysis. All 112 variants were queried against the gnomAD v4.1 genome and exome reference datasets. Of these, matching allele-frequency data for the predefined reported allele were available in at least one of the two gnomAD datasets for 103 variants, whereas for 9 variants the VEP-based query did not return a matching gnomAD frequency for that allele. Frequencies were reported for the same predefined reported allele across all groups, and differences between the study groups were assessed using 95% confidence intervals, Fisher's exact tests, and false discovery rate correction. Genotype counts and the proportions of individuals carrying at least one copy of the reported allele were also summarized for all selected variants. Several pharmacogenomic variants showed population-specific frequency patterns, including NUDT15 rs116855232, SLCO1B1 rs4149056, VKORC1 rs9934438, and UGT1A1 rs10929302. Comparison with gnomAD showed that the observed frequencies were variant-specific and could not be consistently approximated by a single broad genetic ancestry group. Reference-based population structure analysis provided additional ancestry context and supported separate reporting by population group. The study did not evaluate clinical outcomes or make individual prescribing recommendations, and the small Uzbek sample size limits the precision of frequency estimates for this group, particularly for rare variants. Overall, this study provides a clinically prioritized pharmacogenomic frequency resource for underrepresented population groups in Kazakhstan and supports broader Central Asian representation in pharmacogenomic implementation research.

Central Asia↗

PubMed2026

Pharmacogenomic diversity in Amazonian Indigenous populations: implications for Berlin-Frankfurt-Münster acute lymphoblastic leukemia therapy.

PURPOSE: This study aimed to characterize pharmacogenomic variation in genes involved in the metabolism and transport of drugs used in Berlin-Frankfurt-Münster-based therapy in Amazonian Indigenous individuals and to compare allele frequencies with major continental populations. METHODS/PATIENTS: Whole-exome sequencing data previously generated from 64 healthy Indigenous individuals from 12 Amazonian ethnic groups were analyzed. A total of 120 genes associated with drugs used in Berlin-Frankfurt-Münster protocols were selected. Variants were annotated and filtered using bioinformatic quality-control criteria, and allele frequencies were compared with African, Admixed American, East Asian, European, and South Asian populations from the 1000 Genomes Project. Multidimensional scaling was used to assess population-level genetic similarity. RESULTS: After quality control, 648 variants were identified. Twenty-eight variants were observed exclusively in the Indigenous study population, including four nonsynonymous coding variants with moderate predicted impact. Significant allele-frequency differences were observed for ADA rs11555566, CBR3 rs881711, and CYP2B6 rs3745274; rs881711 and rs3745274 differed from all five reference populations. Multidimensional scaling showed a distinct Indigenous pharmacogenomic profile, with greater similarity to the Admixed American population. CONCLUSIONS: Amazonian Indigenous populations exhibit substantial pharmacogenomic diversity in genes relevant to Berlin-Frankfurt-Münster-based therapy. These findings identify candidate variants for functional and clinical validation and reinforce the importance of including underrepresented populations in pharmacogenomic research.

Acute lymphoblastic leukemia↗

PubMed2026

Pharmacogenomic and drug interactions risk in cardio-oncology: A precision medicine perspective for India.

Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a considerable polypharmacy burden. This significantly increases the prospect of drug-drug interactions (DDIs) and gene-drug interactions. The majority of these interactions arise from comparable pharmacokinetic and pharmacological pathways associated with drug transporters and cytochrome P450 enzymes. The significance of pharmacogenomics in tailored treatment strategies are emphasised by the fact that genetic variability enhances individual differences in drug response, safety, and efficacy. This narrative review focus on the effects of key genetic polymorphisms (e.g., DPYD, CYP2C19, and CYP2C9) on the metabolism and efficacy of commonly prescribed anticancer and cardiovascular medications such as fluoropyrimidines, clopidogrel, and warfarin. In addition it explore the role of pharmacogenomic variants on drug-drug interactions within the field of cardio-oncology. The study ultimately emphasizes the necessity of precision medicine in India to address the genetic diversity and underrepresentation in global genomic databases. The absence of pharmacogenomic testing, infrastructural deficiencies, financial constraints, and insufficient clinical integration hinder the widespread use of this technology in India. The Genome India Project and other national initiatives establish the foundation for pharmacogenomic-guided therapy. Utilizing genetic data, together with artificial intelligence-based predictive tools, for clinical decision-making may enhance medication safety and yield optimal outcomes in Indian cardio-oncology patients.

Humans↗

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↗

PubMed2025

Pharmacogenomic insights into angiotensin converting enzyme inhibitors and calcium channel blockers for personalized hypertension treatment.

Arterial hypertension is a complex disorder influenced by extensive genetic variability, which contributes to interindividual differences in drug response by altering metabolism, transport, and receptor interaction. Current antihypertensive therapies effectively control arterial hypertension in only about half of patients, emphasizing the need for precise strategies. Genetic variation plays a crucial role in modulating drug response, and integrating this knowledge into clinical practice could significantly transform the management of hypertension through personalized medicine. This review examines the impact of genetic factors on the efficacy of antihypertensive drug classes, including angiotensin converting enzyme inhibitors and calcium channel blockers. It also examines advances in pharmacogenomic research that can aid in tailoring drug selection and dose adjustment based on genetic profiles. Beyond genomics, this review also highlights the impact of multiomics approaches, such as proteomics, metabolomics, and microbiomics, in advancing precision medicine and enabling a comprehensive, personalized approach to hypertension management. Pharmacogenomics can help refine hypertension care, improve patient outcomes, and reduce the burden of the disease. The future of hypertension treatment lies in precision medicine, where therapy is tailored to individual needs for effective and personalized management.

Humans↗

PubMed2026

Survey to inform personalised prescribing in a British South Asian community: pharmacogenomics and traditional medicine use.

BACKGROUND: Pharmacogenomics (PGx) uses genetic information to personalize medication, reducing adverse reactions and improving efficacy. Despite its promise, low public awareness and disparities in PGx acceptability among under-represented groups may exacerbate health inequalities. The objective of this study was to elucidate a British South Asian community's attitudes toward personalised prescribing. METHODS: Adults of Bangladeshi or Pakistani ancestry from the Genes & Health (G&H) study completed a survey. Community feedback guided theme prioritization. Multivariable logistic regression analyses (controlling for age and gender) explored relationships among survey variables, and case-control Genome Wide Association Studies (GWAS) and candidate variant enrichment analysis examined the genetic architecture underlying herbal remedy use. RESULTS: Out of 553 respondents (57% female, mostly aged 25-54), 72% reported medication inefficacy, and 54% experienced side effects. Herbal remedies were widely used (66%), notably Black seed (39%), Turmeric (37%), and Ginger (36%). Participants who reported not using traditional or herbal medicines had higher medication adherence MARS-5 scores (Odds Ratio (OR) 1.10, 95% Confidence Interval (CI) 1.05-1.16, p < 0.0002). All three commonly used herbal remedies inhibit the pharmacogenomically variable CYP2C9 enzyme responsible for metabolising commonly used medications. 58% of respondents were willing to provide DNA samples for PGx testing, yet 70% agreed that they would be more likely to take medication as instructed if PGx results suggested the medicine would suit them. Concerns about PGx testing were common (27%), especially among non-English speakers. Most (69%) were concerned about misuse of PGx data, particularly by pharmaceutical companies (82%). Importantly, 87% demanded stronger PGx data protections compared to other health data. CONCLUSIONS: Compared to a national UK population, the surveyed subpopulation reported higher rates of adverse drug reactions (ADRs) and perceived medication inefficacy, yet fewer respondents indicated willingness to undergo PGx testing. This highlights the need for tailored implementation strategies and underscores the importance of engaging underrepresented populations in policy development. The inverse relationship between medication adherence and herbal remedy use indicates an association between cultural health practices and medication behaviours that merits further investigation. Increased awareness of the common use of these CYP2C9 inhibitors and further research into the genetic architecture underlying herbal remedy use are warranted.

Humans↗

PubMed2026

Whole-Exome and Whole-Genome Sequencing of Candidate Pharmacogenomic and Schizophrenia-Related Genes in Sudanese Families with Schizophrenia.

BACKGROUND: Schizophrenia is considered a neuro-developmental disorder leading to disastrous lifelong disability of the patients and their families. There is a lack of data regarding pharmacogenomics of schizophrenia in Sudan. This study aimed to identify different genes affecting the treatment outcomes in Sudanese patients with schizophrenia. METHODS: A case-control study was conducted on seven families having more than one member diagnosed with schizophrenia. This was a small exploratory family-based sequencing study involving 18 affected individuals and 8 controls from seven families. Ethical clearance and informed consent were obtained. Demographic data were collected using a standardized data collection sheet. DNA was extracted from blood samples collected from patients and control groups. Then, whole-exome and genome sequencing were performed. Sixty-six genes associated with schizophrenia, treatment, and treatment resistance were selected from the variant calling file. Variants showing single-nucleotide polymorphisms (SNPs) were identified. These variants were then classified based on their impact on the protein-coding sequence into high- and moderate-impact. Moreover, indel mutations were also identified. RESULTS: Twelve variants of seven genes (COMT, FMO1, LPL, CYP2E1, ABCC1, GRM3, CYP2C9) were identified as genes with impact and potential association with schizophrenia (p-value=0.006632). Forty-three genes had a moderate impact, and they showed a potential association with schizophrenia (p-value=0.0004436). Two variants were indel mutations (CYP2D6, DTNBP1) and showed association with schizophrenia (p-value=0.004741). The p-values were generated from different databases. CONCLUSION: This exploratory family-based sequencing study identified several potentially relevant pharmacogenomic and schizophrenia-associated variants in Sudanese families, warranting validation in larger and ethnically diverse cohorts.

antipsychotics↗

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↗

PubMed2025

Toward an integrated resource for pharmacogenomics (PGx): Survey findings from the genomic medicine communities.

PURPOSE: Pharmacogenomics (PGx) is a critical component of precision health care that aims to improve drug efficacy and reduce adverse events. Terminologies and standards have not always aligned between PGx and broader genomic medicine communities, which is a barrier to PGx implementation. An updated assessment of community barriers, needs, and perspectives is critical to enable more standardized terminologies and interpretation frameworks. METHODS: The Clinical Genome Resource's PGx Interpretation Committee (PGxIC, formerly referred to as the PGx Working Group, PGxWG) conducted 2 surveys targeting the PGx and genomic medicine communities (n = 508) to evaluate perspectives on PGx clinical validity and actionability frameworks, as well as other barriers to PGx implementation. Surveys were tailored toward self-reported familiarity with PGx. Data primarily consisted of free text, which were analyzed using qualitative content analysis methods. RESULTS: Survey responses indicated conflation of terminology across disciplines, including confusion around differing definitions of terms in PGx and non-PGx contexts. Data also indicated broad support for leveraging existing PGx guidelines and framework structures alongside the standardization of approaches and centralization of resources. CONCLUSION: These novel survey results demonstrate broad consensus on the importance of integrating PGx into clinical practice, including support for development of gene-drug response clinical validity and actionability frameworks aligned with Clinical Genome Resource's frameworks for gene-disease relationships.

Humans↗

PubMed2026

The Role of In Vivo, In Vitro and Pharmacogenomic Diagnostic Approaches to Sulfonamide Allergy.

Sulfonamide antibiotics are commonly reported as a medication allergy, presenting as both immediate IgE-mediated reactions and delayed hypersensitivity reactions ranging from benign cutaneous eruptions to severe cutaneous adverse reactions. Sulfonamide antibiotics have retained importance as treatment for multiple indications and are especially relevant in immunocompromised patients wherein use is indicated for prevention of opportunistic infections. Sulfonamide antibiotic allergy labels may lead to inappropriate avoidance of other "sulfur"-containing medications, because cross-reactivity is unlikely between antibiotic and nonantimicrobial sulfonamides. In this review, we discuss the typical presentation of sulfonamide antibiotic hypersensitivity reactions. We also review risk stratification tools and current in vivo procedures and experimental in vitro evaluation methods. Lastly, we will provide an update on emerging pharmacogenomics data associated with sulfonamide medication adverse reactions.

Humans↗

PubMed2026

Comparative Effectiveness of Pharmacogenomics for Treatment of Depression.

PURPOSE/BACKGROUND: Pharmacogenomics (PGx), or the use of genetic information to assess drug-gene interactions, is an important step toward precision medicine. It is unclear if clinician use of PGx yields better outcomes for their patients. This study compared the effectiveness of combinatorial PGx-guided plus guideline-informed treatment (PGx+GIT) with guideline-informed treatment (GIT) alone to improve well-being in individuals with major depressive disorder. METHODS/PROCEDURES: Eligible participants (N=201) were randomized to PGx+GIT or GIT alone. PGx was measured with the proprietary GeneSight combinatorial test. PGx+GIT participant clinicians received test results within 2 business days to inform decisions about medication changes. Participants completed the World Health Organization Well-Being Index (WHO-5), Patient Health Questionnaire (PHQ-9), and PROMIS Profile physical functioning and social roles and activity domains every 2 weeks for 2 months and then every 2 months for the remaining 10 months. Monthly medication changes operationalized as necessary clinical adjustments were tracked with the medication recommendation tracking form. FINDINGS/RESULTS: Both groups improved average well-being over the 12-month study period (model-based change in WHO-5 per log (week) [95% CI]: 4.1 [3.3, 5.0] PGx+GIT and 4.8 [4.0, 5.5] GIT). PGx+GIT did not result in superior improvement in well-being (model-based difference [95% CI]: -0.6 [-1.8, 0.5], P =0.270), or any secondary outcomes. The effect of randomized treatment on well-being was not moderated by depression severity, number of previous failed medications for major depressive disorder, or presence of a comorbid condition. IMPLICATIONS/CONCLUSIONS: These data suggest PGx+GIT was not superior to GIT alone, possibly due to a ceiling effect of GIT, or PGx did not yield better results.

Humans↗

PubMed2026

Role of OPRM1 A118G polymorphism in tramadol analgesia following third molar surgery: a pharmacogenomic study.

BACKGROUND: The OPRM1 A118G (rs1799971) polymorphism has been implicated in interindividual variability in opioid analgesic response, but its influence on tramadol efficacy remains uncertain. This study evaluated the association between OPRM1 A118G and postoperative analgesic response to tramadol following mandibular third molar surgery. METHODS: In this prospective pharmacogenomic study, 53 adults undergoing impacted mandibular third molar extraction were enrolled. Genomic DNA was analyzed for OPRM1 A118G (rs1799971) using amplification refractory mutation system polymerase chain reaction (ARMS-PCR). All procedures were performed under 2% lignocaine with adrenaline. Tramadol (50 mg) was administered after the onset of postoperative pain. Pain intensity was assessed using the Visual Analogue Scale (VAS) and Short-Form McGill Pain Questionnaire at 2, 4, and 6 hours. The primary outcome was summed pain intensity difference (SPID, 2-6 hours). RESULTS: Genotype frequencies were in Hardy-Weinberg equilibrium. No significant association was observed between OPRM1 genotype and SPID, VAS reduction, Pain Rating Index change, or responder status during the 6-hour observation period (all p > 0.05). CONCLUSION: OPRM1 A118G was not significantly associated with early tramadol analgesic response following third molar surgery. Larger studies incorporating both OPRM1 and CYP2D6 genotyping are needed to clarify the genetic determinants of tramadol analgesia as CYP2D6 gene is required for tramadol metabolism.

OPRM1↗

PubMed2026

PGR expression as a pharmacogenomic companion biomarker to GENE70-derived genomic risk in ER-positive/HER2-negative breast cancer.

BACKGROUND: The biology of the estrogen receptor-positive (ER+) and human epidermal growth factor receptor 2-negative (HER2-) breast cancers is heterogeneous even when they are categorized by their risk via genomics. Transcriptomic PGR expression reflects endocrine pathway activity and may provide complementary biological information within established GENE70-derived genomic-risk categories. Whether this molecular marker improves the biological interpretation of genomic-risk stratification beyond conventional clinicopathological assessment remains uncertain. OBJECTIVES: The aim of this study was to determine whether transcriptomic PGR expression provides complementary biological and prognostic information within reconstructed GENE70-derived genomic-risk categories and refines the characterization of endocrine-related tumour biology in ER-positive/HER2-negative breast cancer. METHODS: This study analysed publicly available transcriptomic and clinical data from three cohorts: METABRIC (discovery cohort), GSE96058/SCAN-B cohort (validation cohort) and TCGA-BRCA cohort (molecular validation cohort). The GENE70-derived genomic-risk score was reconstructed for each cohort using matched genes. Cox regression, Kaplan-Meier analysis and subgroup comparisons were used to assess relationships between PGR expression, clinicopathologic variables, molecular features and survival outcomes. RESULTS: Across the three independent cohorts, low transcriptomic PGR expression was consistently associated with higher GENE70-derived genomic risk, increased MKI67 expression, reduced ESR1 expression and enrichment of the Luminal B subtype. Survival findings differed between cohorts. In the discovery METABRIC cohort, transcriptomic PGR expression showed heterogeneous associations with survival, particularly within GENE70-derived high-risk subgroups, whereas the external GSE96058/SCAN-B validation cohort demonstrated consistent associations between low PGR expression and poorer overall survival in both the overall ER-positive/HER2-negative population and GENE70-derived high-risk subgroups. CONCLUSION: These findings suggest that transcriptomic PGR provides complementary biological and prognostic information within GENE70-derived genomic-risk categories. However, because treatment response was not evaluated in the present study, the findings should not be interpreted as evidence of predictive or pharmacogenomic utility and prospective studies incorporating treatment-response analyses are required before such applications can be established.

Humans↗

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↗