Search

Background: For psychotic disorders (i.e. schizophrenia), pharmacotherapy plays a key role in controlling acute and long-term symptoms. To find the optimal individual dose and dosage strategy, specialised tools are used. Three tools have been proven useful to personalise drug treatments: therapeutic drug monitoring (TDM) of drug levels, pharmacogenetic testing (PG), and molecular neuroimaging. Methods: In these Guidelines, we provide an in-depth review of pharmacokinetics, pharmacodynamics, and pharmacogenetics for 45 antipsychotics. Over 30 international experts in psychiatry selected studies that have measured drug concentrations in the blood (TDM), gene polymorphisms of enzymes involved in drug metabolism, or receptor/transporter occupancies in the brain (positron emission tomography (PET)). Results: Study results strongly support the use of TDM and the cytochrome P450 (CYP) genotyping and/or phenotyping to guide drug therapies. Evidence-based target ranges are available for titrating drug doses that are often supported by PET findings. Conclusion: All three tools discussed in these Guidelines are essential for drug treatment. TDM goes well beyond typical indications such as unclear compliance and polypharmacy. Despite its enormous potential to optimise treatment effects, minimise side effects and ultimately reduce the global burden of diseases, personalised drug treatment has not yet become the standard of care in psychiatry. [ABSTRACT FROM AUTHOR]

Previous results demonstrated that CYP2D6 and CYP2C19 gene variants affect serum concentrations of antidepressants. We implemented a PGx service determining gene variants in CYP2D6 and CYP2C19 in our clinical routine care and report on our first patient cohort. We analysed CYP2D6 and CYP2C19 allele, genotype, and phenotype frequencies, and actionable pharmacogenetic variants in this German psychiatric inpatient cohort. Two-tailed z-test was used to investigate for differences in CYP2D6 and CYP2C19 phenotypes and actionable/non-actionable genetic variant frequencies between our cohort and reference cohorts. Out of the 154 patients included, 44.8% of patients were classified as CYP2D6 normal metabolizer, 38.3% as intermediate metabolizers, 8.4% as poor metabolizers, and 2.6% as ultrarapid metabolizers. As for CYP2C19, 40.9% of patients were classified as normal metabolizers, 19.5% as intermediate metabolizers, 2.6% as poor metabolizers, 31.2% as rapid metabolizers, and 5.8% as ultrarapid metabolizers. Approximately, 80% of patients had at least one actionable PGx variant. There is a high prevalence of actionable PGx variants in psychiatric inpatients which may affect treatment response. Physicians should refer to PGx-informed dosing guidelines in carriers of these variants. Pre-emptive PGx testing in general may facilitate precision medicine also for other drugs metabolised by CYP2D6 and/or CYP2C19. [ABSTRACT FROM AUTHOR]

Psychotropic medication efficacy and tolerability are critical treatment issues faced by individuals with psychiatric disorders and their healthcare providers. For some people, it can take months to years of a trial-and-error process to identify a medication with the ideal efficacy and tolerability profile. Current strategies (e.g. clinical practice guidelines, treatment algorithms) for addressing this issue can be useful at the population level, but often fall short at the individual level. This is, in part, attributed to interindividual variation in genes that are involved in pharmacokinetic (i.e. absorption, distribution, metabolism, elimination) and pharmacodynamic (e.g. receptors, signaling pathways) processes that in large part, determine whether a medication will be efficacious or tolerable. A precision prescribing strategy know as pharmacogenomics (PGx) assesses these genomic variations, and uses it to inform selection and dosing of certain psychotropic medications. In this review, we describe the path that led to the emergence of PGx in psychiatry, the current evidence base and implementation status of PGx in the psychiatric clinic, and finally, the future growth potential of precision psychiatry via the convergence of the PGx-guided strategy with emerging technologies and approaches (i.e. pharmacoepigenomics, pharmacomicrobiomics, pharmacotranscriptomics, pharmacoproteomics, pharmacometabolomics) to personalize treatment of psychiatric disorders. [ABSTRACT FROM AUTHOR]

There has been a worldwide substantial increase in accidental opioid-overdose deaths. The aim of this review, along with preliminary results from our pilot study, is to highlight the use of pharmacogenetics as a tool to predict causes of accidental opioid-overdose death. For this review, a systematic literature search of PubMed® between the time period of January 2000 to March 2023 was carried out. We included study cohorts, case–controls, or case reports that investigated the frequency of genetic variants in opioid-related post-mortem samples and the association between these variants and opioid plasma concentrations. A total of 18 studies were included in our systematic review. The systematic review provides evidence of the use of CYP2D6, and to a lower extent, CYP2B6 and CYP3A4/5 genotyping in identifying unexpectedly high or low opioid and metabolite blood concentrations from post-mortem samples. Our own pilot study provides support for an enrichment of the CYP2B6*4-allele in our methadone-overdose sample (n = 41) compared to the anticipated frequency in the general population. The results from our systematic review and the pilot study highlight the potential of pharmacogenetics in determining vulnerability to overdose of opioids. [ABSTRACT FROM AUTHOR]

The article addresses concerns about the use of pharmacogenetic (PGx) testing in the psychiatric clinic wherein a person's genetic information is utilized to inform medication selection and dosing decisions in Canada. Topics include controversy about the merits of PGx and how to interpret and act on the results, issue raised by the U.S. Food and Drug Administration on the ability of the test to predict response to specific medications and factors that can impact interpretation of the results.

Copyright of Canadian Journal of Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Opioids are mainly used to treat both acute and chronic pain. Several opioids are metabolized to some extent by CYP2D6 (codeine, tramadol, hydrocodone, oxycodone, and methadone). Polymorphisms in CYP2D6 have been studied for an association with the clinical effect and safety of these drugs. Other genes that have been studied for their association with opioid clinical effect or adverse events include OPRM1 (mu receptor) and COMT (catechol‐O‐methyltransferase). This guideline updates and expands the 2014 Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2D6 genotype and codeine therapy and includes a summation of the evidence describing the impact of CYP2D6, OPRM1, and COMT on opioid analgesia and adverse events. We provide therapeutic recommendations for the use of CYP2D6 genotype results for prescribing codeine and tramadol and describe the limited and/or weak data for CYP2D6 and hydrocodone, oxycodone, and methadone, and for OPRM1 and COMT for clinical use. [ABSTRACT FROM AUTHOR]

Using pharmacogenetics in guiding drug therapy experiences a steady increase in uptake, although still leads to discussions as to its clinical use. Psychiatry constitutes a field where pharmacogenomic testing might help in guiding drug therapy. To address current challenges, this minireview provides an update regarding genotyping (SNP analysis/arrays/NGS), structural variant detection (star-alleles/CNVs/hybrid alleles), genotype-to-phenotype translations, cost-effectiveness, and actionability of results (FDA/CPIC/PharmGKB) regarding clinical importance of pre-emptive pharmacogenomic testing for prescription of antidepressants and antipsychotics. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Journal of Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pharmacogenetics is the division of science addressing how genetic factors contribute to the metabolism, response, and side effects of a given medication. What was once regarded as a subdivision of genetics and pharmacology is now recognized as its own field and has its own unique story of origin. While the term "pharmacogenetics" was coined by Friedrich Vogel in 1959, the relevance of inherited genetic traits in affecting the clinical outcome to xenobiotics has been observed long before. In fact, there is much hope that pharmacogenetics can help unravel the "mysteries" as to why different people may display variable responses to the same medication as well as identify new drug targets. This article will highlight the conceptual framework for pharmacogenetics advanced by pioneer scientists Arno Motulsky and Friedrich Vogel (both human geneticists), as well as Werner Kalow (clinical pharmacologist), leading up to the creation of modern pharmacogenetics. Finally, the practical implications and first steps toward implementation for current psychiatric treatment are reviewed followed by an outlook on future studies. [ABSTRACT FROM AUTHOR]

Objective: The primary objective of this study was to investigate five putatively functional variants of the norepinephrine transporter (SLC6A2, NET) and serotonin transporter (SLC6A4, SERT) genes and remission in depressed older adults treated with venlafaxine. A secondary objective was to analyze 17 other variants in serotonergic system genes (HTR1A, HTR2A, HTR1B, HTR2C, TPH1, TPH2) potentially involved in the mechanism of action of venlafaxine.Method: The sample included 350 adults age 60 or older with DSM-IV-defined major depressive disorder and a score of at least 15 on the Montgomery-Åsberg Depression Rating Scale (MADRS). Participants received protocolized treatment with open-label venlafaxine, up to 300 mg/day for approximately 12 weeks, as part of a three-site clinical trial. Each individual was genotyped for 22 polymorphisms in eight genes, which were tested for association with venlafaxine remission (a MADRS score ≤10) and changes in MADRS score during treatment.Results: After adjusting for multiple comparisons, NET variant rs2242446 (T-182C) was significantly associated with remission (odds ratio=1.66, 95% CI=1.13, 2.42). Individuals with the rs2242446 C/C genotype were more likely to remit (73.1%) than those with either the C/T (51.8%) or the T/T genotype (47.3%). Individuals with the C/C genotype also had a shorter time to remission than those with the C/T or T/T genotypes and had a greater percentage change in MADRS score from baseline to end of treatment (up to week 12).Conclusions: NET rs2242446/T-182C may serve as a biomarker to predict the likelihood of remission with venlafaxine in older adults with major depression. These findings may help to optimize antidepressant outcomes in older adults. [ABSTRACT FROM AUTHOR]

As a result, there is significant variability between tests in regard to gene and allele content, test result interpretation, cost, and testing turnaround times. Depending on the laboratory, testing is offered as a single-gene or multiple-gene panel. [Extracted from the article]

Abstract: Objectives: A recent genome‐wide association study (GWAS) in obsessive–compulsive disorder (OCD) reported a significant marker in the dispatched homolog 1 (Drosophila) gene (DISP1 gene) associated with serotonin reuptake inhibitor (SRI) antidepressant response (Qin et al., ). DISP1 has never been examined before in terms of association with SRI response until this GWAS. We attempt to replicate the GWAS finding by investigating the association of the DISP1 rs17162912 polymorphism with SRI response in our sample of 112 European Caucasian OCD patients. Methods: Patients were previously treated naturalistically with up to 6 different SRIs sequentially, including 5 selective SRIs (fluoxetine, fluvoxamine, sertraline, paroxetine, and citalopram) and 1 SRI (clomipramine). Each medication trial was evaluated retrospectively for response and was rated categorically as either responder or nonresponder using the Clinical Global Impression–Improvement scale. Fisher's exact test was used to investigate the relationship between the DISP1 rs17162912 genotype distribution and SRI response. Results: We did not observe a significant association between rs17162912 and SRI response (p = .32). Conclusion: This replication study did not support the role of DISP1 in predicting SRI response in OCD; however, methodological differences between the original GWAS and our study, as well as limited power and low minor allele frequency, may have hindered replication. [ABSTRACT FROM AUTHOR]

This article offers a summary of the knowledge related to the pharmacogenetics (PGx) of antipsychotics and reviews its clinical application. PGx was first coined in 1959 to identify clinically-meaningful genetic predictors of responses to drug treatments and their adverse effects. Several genetic variants linked with antipsychotic responses and adverse effects in schizophrenia treatment have been identified. Precautions for implementation of PGx in clinical practice is discussed.

Objective Tardive dyskinesia (TD) is a motor side effect that may develop after long-term antipsychotic treatment. Schizophrenia has recently been associated with the Neurexin-1 ( NRXN1) gene that codes for a cell adhesion molecule in synaptic communication. Methods This study examined five NRXN1 single-nucleotide polymorphisms (SNPs) for possible association with the occurrence and severity of TD in 178 schizophrenia patients of European ancestry. Results We did not find these SNPs to be significantly associated with TD. Conclusions More research is needed with additional SNPs and in bigger samples before we can completely rule out the role of NRXN1 in TD. [ABSTRACT FROM AUTHOR]

Objective Approximately 30% of patients with schizophrenia fail to respond to antipsychotic therapy and are classified as having treatment-resistant schizophrenia. Clozapine is the most efficacious drug for treatment-resistant schizophrenia and may deliver superior therapeutic effects partly by modulating glutamate neurotransmission. Response to clozapine is highly variable and may depend on genetic factors as indicated by twin studies. We investigated eight polymorphisms in the N-methyl- d-aspartate glutamate receptor subunit gene GRIN2B with response to clozapine. Methods GRIN2B variants were genotyped using standard TaqMan procedures in 175 European patients with schizophrenia deemed resistant or intolerant to treatment. Response was assessed using change in Brief Psychiatric Rating Scale scores following six months of clozapine therapy. Categorical and continuous response was assessed using chi-squared test and analysis of covariance, respectively. Results No associations were observed between the variants and response to clozapine. A-allele carriers of rs1072388 responded marginally better to clozapine therapy than GG-homozygotes; however, the difference was not statistically significant ( p = 0.067, uncorrected). Conclusions Our findings do not support a role for these GRIN2B variants in altering response to clozapine in our sample. Investigation of additional glutamate variants in clozapine response is warranted. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Objective Antipsychotics are effective in treating schizophrenia symptoms. However, the use of clozapine and olanzapine in particular are associated with significant weight gain. Mouse and human studies suggest that the protein kinase cAMP-dependent regulatory type II beta ( PRKAR2B) gene may be involved in energy metabolism, and there is evidence that it is associated with clozapine's effects on triglyceride levels. We aimed at assessing PRKAR2B's role in antipsychotic-induced weight gain in schizophrenia patients. Methods DNA samples from adult schizophrenia or schizoaffective disorder patients of mixed ancestry were genotyped, and weight gain was assessed. We analyzed 16 tag single-nucleotide polymorphisms across the PRKAR2B gene in a Caucasian subset treated either with clozapine or olanzapine ( N = 99). Linear regression based on an additive model was performed with the inclusion of relevant covariates. Results Normalized per cent weight change was analyzed, revealing that patients with the minor allele at rs9656135 had a mean weight increase of 4.1%, whereas patients without this allele had an increase of 3.4%. This association is not significant after correcting for multiple testing. Conclusions Because of limited power, PRKAR2B's role in antipsychotic-induced weight gain is unclear, but biological evidence suggests that PRKAR2B may be involved. Further research in larger sample sizes is warranted. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Advancements in pharmacogenomics have introduced an increasing number of opportunities to bring personalized medicine into clinical practice. Understanding how and when to use this technology to guide pharmacotherapy used to treat psychiatric and neurological (neuropsychiatric) conditions remains a challenge for many clinicians. Currently, guidelines exist to assist clinicians in the use of existing genetic information for drug selection and/or dosing for the tricyclic antidepressants, carbamazepine, and phenytoin. Additional language in the product labeling suggests that genetic information may also be useful for determining the starting and target doses, as well as drug interaction potential, for a number of other drugs. In this review, we outline the current status of pharmacogenomic testing for neuropsychiatric drugs as it pertains to information contained in drug labeling, consensus guidelines, and test panels, as well as considerations related to obtaining tests for patients. [ABSTRACT FROM AUTHOR]

Genetic testing may help to improve treatment outcomes in order to avoid non-response or severe side effects to psychotropic medication. Most robust data have been obtained for gene variants in CYP2D6 and CYP2C19 enzymes for antipsychotics and antidepressant treatment. We reviewed original articles indexed in PubMed from 2008-2013 on CYP2D6 and CYP2C19 gene variants and treatment outcome to antidepressant or antipsychotic medication. We have started providing CYP2D6 and CYP2C19 genotype information to physicians and conducted a survey where preliminary results are reported. Studies provided mixed results regarding the impact of CYP2D6 and CYP2C19 gene variation on treatment response. Plasma levels were mostly found associated with CYP metabolizer status. Higher occurrence/severity of side effects were reported in non-extensive CYP2D6 or CYP2C19 metabolizers. Results showed that providing genotypic information is feasible and generally well accepted by both patients and physicians. Although currently available studies are limited by small sample sizes and infrequent plasma drug level assessment, research to date indicates that CYP2D6 and CYP2C19 testing may be beneficial particularly for non-extensive metabolizing patients. In summary, clinical assessment of CYP2D6 and CYP2C19 metabolizer status is feasible, well accepted and optimizes drug treatment in psychiatry. [ABSTRACT FROM AUTHOR]

The numerous premature deaths, medical complications and socio-economic repercussions of drug and alcohol addiction suggest that improvements in treatment strategies for addictive disorders are warranted. The use of pharmacogenetics to predict response to medication, side effects and appropriate dosages is relatively new in the field of drug addiction. However, increasing our understanding of the genetic factors influencing these processes may improve the treatment of addiction in the future. We examined the available scientific literature on pharmacogenetic advancements in the field of drug addiction with a focus on alcohol and tobacco to provide a summary of genes implicated in the effectiveness of pharmacotherapy for addiction. In addition, we reviewed pharmacogenetic research on cocaine and heroin dependence. Thus far, the most promising results were obtained for polymorphisms in the OPRM1 and CYP2A6 genes, which have been effective in predicting clinical response to naltrexone in alcoholism and nicotine replacement therapy in smoking, respectively. Opinions differ as to whether pharmacogenetic testing should be implemented in the clinic at this time because clinical utility and cost-effectiveness require further investigation. However, the data summarized in this review demonstrate that pharmacogenetic factors play a role in response to addiction pharmacotherapy and have the potential to aid in the personalization of addiction treatments. Such data may lead to improved cessation rates by allowing physicians to select medications for individuals based, at least in part, on genetic factors that predispose to treatment success or failure rather than on a trial and error basis. [ABSTRACT FROM AUTHOR]

Tardive dyskinesia (TD) is a severe and potentially irreversible motor side effect linked to long-term antipsychotic exposure. Changes in dopamine neurotransmission have been implicated in the etiology of TD, and catechol- O-methyl-transferase (COMT) is an enzyme that metabolizes dopamine. Objectives. We investigated five single-nucleotide polymorphisms in addition to the functional Val158Met variant spanning the COMT gene for association with TD. Methods. We analyzed the six COMT single-nucleotide polymorphisms in a sample of schizophrenia/schizoaffective disorder patients ( n=226; 196 Caucasians and 30 African Americans). Results. We found a significant association between the marker rs165599 in the 3′ untranslated region of COMT and TD (AA versus G-carrier: ORAA=2.22, 95% CI:1.23–4.03; P=0.007). The association appeared to be originating from males. We did not find a significant association of the other five tested polymorphisms with TD in our samples. We performed a sex-stratified meta-analysis across all of the published studies ( n=6 plus our own data) of COMT and TD, and found an association between ValVal genotype and TD in females (ORValVal=1.63, 95% CI: 1.09–2.45; P=0.019) but not in males. Conclusions. Overall, our results suggest that the COMT gene may have a minor but consistent role in TD, although sex-stratified studies with additional markers in larger clinical samples should be performed. [ABSTRACT FROM AUTHOR]

Acute and chronic anxiety represents the core symptoms in anxiety disorders. Anxiolytic pharmacological treatment mainly consists in administration of benzodiazepines and antidepressants. Whereas benzodiazepines show little, antidepressants show a relative large interindividual variability in terms of drug response where about one-third of patients do not respond at all. With no meaningful predictors available, there is increasing hope that genetics can help in adding important pieces of information in order to avoid lengthy drug trials and/or to avoid side effects. However, only few studies have been conducted with antidepressants and benzodiazepines in anxiety disorders. Similar to studies in major depression, some significant findings indicate that presence of the long allele of the serotonin transporter (5-HTT) gene is associated with favorable response. Other significant findings pointed to the serotonin 2A (5-HT2A) receptor and to the tryptophan hydroxylase (TPH1) genes. To date, the most promising strategy in clinical practice appears to incorporate testing of functional CYP450 gene variants (CYP1A2, CYP3A4, CYPD26 and CYP2C19) to avoid over- or under-dosing in poor or rapid metabolizers, respectively. As research progresses, it is likely that further gene variants will be detected that in conjunction with clinical variables will lead to algorithms allowing for individualized anxiolytic drug treatment. [ABSTRACT FROM AUTHOR]

The 5HT2C receptor (HTR2C) has been hypothesized to represent an important modulator in feeding behavior. Evidence was based on the observation that knock-out mice for the HTR2C receptor gene develop obesity and that many antipsychotics (AP) with potent HTR2C antagonism may induce weight gain in susceptible individuals. Pharmacogenetic studies focusing either on the Cys23Ser polymorphism or on the -759C/T promoter polymorphism of the X-linked HTR2C receptor gene revealed significant findings for the -759C/T polymorphism, however, no study has performed haplotype analyses for both polymorphisms. Methods We analyzed three functional polymorphisms (Cys23Ser, -759C/T, and (GT)12–18/(CT) 4–5) of the HTR2C in 139 schizophrenic patients mainly treated with clozapine. Weight gain was assessed over a time course of 6–14 weeks (mean 8.2 weeks). Results Single marker and haplotype analysis revealed no significant associations with AP-induced weight gain. The haplotype Long-C-Ser was protective against weight gain, but the number of subjects available for that analysis was small. Conclusions Our pilot study did not detect any significant haplotype conferring risk for antipsychotic-induced weight gain although the statistical model took into account the X-linked heterogeneity and did correct for confounding factors (i.e., ethnicity, medications, clinical response, time of assessment). Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

This Special Issue on Pharmacogenetics in Psychiatry consists of five selected articles which encompass the first concepts of pharmacogenetics, to implementation strategies applyng pharmacogenetic testing into psychiatric clinical practice. [ABSTRACT FROM AUTHOR]

Classic and modern antipsychotics can induce substantial weight gain causing diabetes, lipid abnormalities and psychological distress. Treatment emergent weight gain varies within the broad class of antipsychotics; however, an individual's propensity to develop weight gain largely depends on genetic factors. The first part of this review highlights current ideas and concepts related to antipsychotic-induced weight gain, including principles on energy homeostasis. The second part summarizes genetic findings emphasizing studies published after 2003 as prior studies have been reviewed in detail elsewhere [1]. Candidate gene studies have produced significant findings in the 5-hydroxytryptamin 2C (5HT2C) and adrenergic α2a (ADR α2a) receptor genes, as well as in the leptin, guanine nucleotide binding protein (GNB3) and synaptomal-associated protein 25kDa (SNAP25) genes. Results from genome-wide association and linkage studies point to several chromosomal regions (e.g., 12q24) and some specific genes (e.g., promelanin concentrating hormone [PMCH], polycyctic kidney and hepatic disease 1 [PKHD1], peptidylglycine α-amidating monooxygenase [PAM]). However, more efforts are needed before risk prediction and personalized medicine can be made available for antipsychotic-induced weight gain. [ABSTRACT FROM AUTHOR]

Weight gain appears to be a serious side effect encountered during treatment with many antipsychotic drugs. Although the propensities of inducing weight gain vary considerably between antipsychotics, weight gain is mostly observed in atypical antipsychotics, increasingly prescribed for a variety of psychiatric disorders. Beside the psychological consequences weight gain may influence patients’ compliance and secondary medical comorbidities related to being overweight may arise, including diabetes, hypertonia, respiratory problems, and some types of cancer.Obesity research generally suggests that a complex system of neurotransmitters, neuropeptides, hormones and immune related factors interact in neural circuits involving at least the hypothalamus, the solitary tract and cortical structures to regulate energy homeostasis and body weight. Antipsychotics that have weight gain inducing properties may disrupt associated pathways at any of these levels, although it remains unclear what the mechanisms of action might be. Given the potential deleterious effects of weight gain, individual predictors of weight gain would be extremely helpful at the beginning of pharmacological treatment with atypical antipsychotics, allowing obesity to be avoided or for counteractive steps such as dietary restrictions to be taken in predisposed individuals. So far, only a few predictors to detect individuals at high risk have been reported and these have limited power. It is likely that genetic factors play a major role in determining individual response to antipsychotics as well as their side effect profile. In this article, we have reviewed literature related to antipsychotic-induced weight gain and have discussed the major issues, before updating the reader on current obesity research findings. Finally, we emphasize previous studies relating to the pharmacogenetics of antipsychotic-induced weight gain. [Copyright &y& Elsevier]

An introduction is presented in which the editors discuss various reports within the issue on topics including genetics and epigenetics, gene expression and cytokine measurement, and neuroimaging.

Highlights • Nine single-nucleotide polymorphisms (SNPs) in the Disrupted in Schizophrenia 1 (DISC1) gene was investigated for possible association with TD. • The tested DISC1 SNPs were not significant associated with TD. • The DISC1 rs11122359 may be interacting with the vesicular monoamine transporter 2 (VMAT2/ SLC18A2) rs363224 in TD. Abstract Tardive dyskinesia (TD) is an involuntary movement disorder that occurs in ∼20% of patients after extended antipsychotic use. Its pathophysiology is unclear; however, familial patterns and gene association studies indicate an inherited component to risk. The disrupted in schizophrenia 1 (DISC1) gene was selected for analysis because it interacts with and regulates two important proteins involved in antipsychotic medication action: the dopamine D2 receptor and the cAMP phosphodiesterase type IVB (PDE4B). The D2 receptor is the obligate target of all existing antipsychotic medications, and PDE4B hydrolyzes cAMP, a core signaling molecule activated by agonist binding to the D2 receptor. Notably, PDE4B inhibitors such as rolipram have been shown to reduce TD-like behaviours in animal models. Nine single-nucleotide polymorphisms (SNPs) in the DISC1 gene were investigated in a sample of 193 chronic schizophrenia patients for association with the presence and severity of TD, with age and sex as additional variables. TD severity was measured using the Abnormal Involuntary Movement Scale (AIMS). Two DISC1 SNPs were associated with TD severity (uncorrected p < 0.05), but these findings did not survive correction for multiple testing. This preliminary investigation suggests that DISC1 gene variants do not affect risk for TD or severity. [ABSTRACT FROM AUTHOR]

Pharmacogenetics seeks to improve patient drug response and decrease side effects by personalizing prescriptions using genetic information. Since 2012, by one estimate, the number of patients who have had pharmacogenetic testing has doubled and this number is expected to double again by 2015. Given the increasing evidence for genetic influences on treatment response, we deemed it important to study physicians' opinions of pharmacogenetic testing. Surveys were completed by 168 Canadian physicians who had ordered at least one pharmacogenetic test (in particular for CYP2D6 or CYP2C19) for the prescription of psychiatric medication. Our results indicated that 80% of respondents believe genetic testing would become common standard in psychiatric drug treatment and 76% of respondents reported satisfactory or higher than satisfactory understanding of the pharmacogenetic report provided. Significantly more male physicians believed they had a higher understanding of the pharmacogenetic report compared to female physicians. To our knowledge, this is the only study that has assessed physicians' opinions of pharmacogenetic testing for psychotropic medication after they had received a pharmacogenetic report. Our results demonstrate a positive opinion of physicians on pharmacogenetics and indicate great potential for future clinical application. [ABSTRACT FROM AUTHOR]

Abstract: Neurexin-1 (NRXN1) modulates recruitment of NMDA receptors. Furthermore, clozapine reduces hyperactivity of NMDA receptors. Thus, regulation of the NRXN1 gene may mediate the efficacy of clozapine at reducing cortical hyperactivity. We examined the putative functional SNP, rs1045881, for association with schizophrenia, and the potential role of this SNP in clozapine response. The rs1045881 variant was not significantly associated with schizophrenia (N=302 case–control pairs), but with clozapine response (N=163; p=0.030). Baseline and BPRS scores after six months revealed a trend for rs1045881 genotype by treatment interaction (p=0.079). In the post hoc analysis, a significant association between BPRS negative symptoms score and genotype was observed (p=0.033). These results suggest that the rs1045881 NRXN1 polymorphism may influence clozapine response. [Copyright &y& Elsevier]

Abstract: Introduction: Tardive dyskinesia (TD) is a potentially irreversible side effect of antipsychotic medication treatment that occurs in approximately 25% of chronically treated schizophrenia patients. Oxidative stress has been one of the proposed mechanisms influencing TD risk. originally reported a significant association between TD and the NADPH quinine oxidoreductase 1 (NQO1) gene Pro187Ser (C609T, rs1800566) polymorphism in Korean schizophrenia patients; however, subsequent studies have not consistently replicated these findings. Similarly, Hori et al. (2000) reported an association between TD and the Manganese superoxide dismutase SOD2 (MnSOD) gene Ala9Val (rs4880) polymorphism in a Japanese sample, but most research groups failed to replicate their positive findings. Aims: We investigated the role of the NQO1 polymorphism Pro187Ser and SOD2 (Ala9Val) in a group of well-characterized schizophrenia patients (N =223) assessed for TD. We also performed a meta-analysis of all the previously published TD studies, including data from our sample, on these polymorphisms, Pro187Ser (N =5 studies) and Ala9Val (N =9 studies). Results: We did not observe a significant association of the Pro187Ser or Ala9Val polymorphism with TD occurrence or AIMS scores in our Caucasian and African American samples when analyzed independently. Meta-analysis did not reveal a significant association of the Pro187Ser/Ala9Val alleles or genotypes with TD occurrence. Conclusions: Neither the NQO1 Pro187Ser nor the SOD2 Ala9Val appear to play a major role in TD risk, although additional polymorphisms should be tested before the role of NQO1 and SOD2 in TD can be completely excluded. [Copyright &y& Elsevier]

Abstract: Tardive dyskinesia (TD) is a neuroleptic-induced movement disorder. Its pathophysiology is unclear. The most consistent genetic findings have shown an association with the Ser9Gly polymorphism of the DRD3 gene. However, only few polymorphisms within DRD3 has been tested, and a comprehensive examination of DRD3 in TD is still lacking. Further, brain-derived neurotrophic factor (BDNF), a neuronal growth and survival peptide, regulates DRD3 expression and may be involved in the neuronal degeneration observed in TD. In the present study, we investigated 15 tag DRD3 polymorphisms and four tag BDNF polymorphisms for association with TD in our sample of Caucasian schizophrenia patients (N =171). While BDNF markers showed no association, a haplotype containing rs3732782, rs905568, and rs7620754 in the 5′ region of DRD3 was associated with TD diagnosis (p[10,000 permutations]=0.007). We also found evidence of interaction between BDNF and DRD3 polymorphisms. Further studies are needed to confirm these findings. [Copyright &y& Elsevier]

Adequate opioid prescribing is critical for therapeutic success of pain management. Despite the widespread use of opioids, optimized opioid therapy remains unresolved with risk of accidental lethal overdosing. With the emergence of accumulating evidence linking genetic variation to opioid response, pharmacogenetic based treatment recommendations have been proposed. The aim of this review is to evaluate pharmacogenetic evidence and provide an overview on genes involved in the pharmacokinetics and pharmacodynamics of opioids. For this review, a systematic literature search of published articles was used in PubMed®, with no language restriction and between the time period of January 2000 to December 2020. We reviewed randomized clinical studies, study cohorts and case reports that investigated the influence of genetic variants on selected opioid pharmacokinetics and pharmacodynamics. In addition, we reviewed current CPIC clinical recommendations for pharmacogenetic testing. Results of this review indicate consistent evidence supporting the association between selected genetic variants of CYP2D6 for opioid metabolism. CPIC guidelines include recommendations that indicate the avoidance of tramadol use, in addition to codeine, in CYP2D6 poor metabolizers and ultrarapid metabolizers, and to monitor intermediate metabolizers for less-than-optimal response. While there is consistent evidence for OPRM1 suggesting increased postoperative morphine dosing requirements in A118G G-allele carriers, the clinical relevance remains limited. There is emerging evidence of clinical relevance of CYP2D6 and, to a lesser extent, OPRM1 polymorphism in personalized opioid drug dosing. As a result, first clinics have started to implement pharmacogenetic guidelines for CYP2D6 and codeine. [Display omitted] • Genetic variation is associated with response and toxicity to opioids. • CYP2D6 genotypes are relevant when prescribing tramadol and codeine for pain relief. • Carriers of the OPRM1 118 G-allele might require a slightly higher morphine dosage. [ABSTRACT FROM AUTHOR]