Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2D6, CYP3A4 and CYP1A2 and antipsychotics.

The Dutch Pharmacogenetics Working Group (DPWG) aims to facilitate pharmacogenetics implementation in clinical practice by developing evidence-based guidelines to optimize pharmacotherapy. A guideline describing the gene-drug interaction between the genes CYP2D6, CYP3A4 and CYP1A2 and antipsychotics is presented here. The DPWG identified gene-drug interactions that require therapy adjustments when respective genotype is known for CYP2D6 with aripiprazole, brexpiprazole, haloperidol, pimozide, risperidone and zuclopenthixol, and for CYP3A4 with quetiapine. Evidence-based dose recommendations were obtained based on a systematic review of published literature. Reduction of the normal dose is recommended for aripiprazole, brexpiprazole, haloperidol, pimozide, risperidone and zuclopenthixol for CYP2D6-predicted PMs, and for pimozide and zuclopenthixol also for CYP2D6 IMs. For CYP2D6 UMs, a dose increase or an alternative drug is recommended for haloperidol and an alternative drug or titration of the dose for risperidone. In addition, in case of no or limited clinical effect, a dose increase is recommended for zuclopenthixol for CYP2D6 UMs. Even though evidence is limited, the DPWG recommends choosing an alternative drug to treat symptoms of depression or a dose reduction for other indications for quetiapine and CYP3A4 PMs. No therapy adjustments are recommended for the other CYP2D6 and CYP3A4 predicted phenotypes. In addition, no action is required for the gene-drug combinations CYP2D6 and clozapine, flupentixol, olanzapine or quetiapine and also not for CYP1A2 and clozapine or olanzapine. For identified gene-drug interactions requiring therapy adjustments, genotyping of CYP2D6 or CYP3A4 prior to treatment should not be considered for all patients, but on an individual patient basis only.

Dutch pharmacogenetics working group (DPWG) guideline for the gene-drug interaction of CYP2D6 and COMT with atomoxetine and methylphenidate.

Pharmacogenetics (PGx) studies the effect of heritable genetic variation on drug response. Clinical adoption of PGx has remained limited, despite progress in the field. To promote implementation, the Dutch Pharmacogenetics Working Group (DPWG) develops evidence-based guidelines on how to optimize pharmacotherapy based on PGx test results. This guideline describes optimization of atomoxetine therapy based on genetic variation in the CYP2D6 gene. The CYP2D6 enzyme is involved in conversion of atomoxetine into the metabolite 4-hydroxyatomoxetine. With decreasing CYP2D6 enzyme activity, the exposure to atomoxetine and the risk of atomoxetine induced side effects increases. So, for patients with genetically absent CYP2D6 enzyme activity (CYP2D6 poor metabolisers), the DPWG recommends to start with the normal initial dose, bearing in mind that increasing this dose probably will not be required. In case of side effects and/or a late response, the DPWG recommends to reduce the dose and check for sustained effectiveness for both poor metabolisers and patients with genetically reduced CYP2D6 enzyme activity (CYP2D6 intermediate metabolisers). Extra vigilance for ineffectiveness is required in patients with genetically increased CYP2D6 enzyme activity (CYP2D6 ultra-rapid metabolisers). No interaction was found between the CYP2D6 and COMT genes and methylphenidate. In addition, no interaction was found between CYP2D6 and clonidine, confirming the suitability of clonidine as a possible alternative for atomoxetine in variant CYP2D6 metabolisers. The DPWG classifies CYP2D6 genotyping as being "potentially beneficial" for atomoxetine. CYP2D6 testing prior to treatment can be considered on an individual patient basis.

Dutch pharmacogenetics working group (DPWG) guideline for the gene-drug interaction between UGT1A1 and irinotecan.

The Dutch Pharmacogenetics Working Group (DPWG) aims to facilitate PGx implementation by developing evidence-based pharmacogenetics guidelines to optimize pharmacotherapy. This guideline describes the starting dose optimization of the anti-cancer drug irinotecan to decrease the risk of severe toxicity, such as (febrile) neutropenia or diarrhoea. Uridine diphosphate glucuronosyl transferase 1A1 (UGT1A1 encoded by the UGT1A1 gene) enzyme deficiency increases risk of irinotecan-induced toxicity. Gene variants leading to UGT1A1 enzyme deficiency (e.g. UGT1A1*6, *28 and *37) can be used to optimize an individual's starting dose thereby preventing carriers from toxicity. Homozygous or compound heterozygous carriers of these allele variants are defined as UGT1A1 poor metabolisers (PM). DPWG recommends a 70% starting dose in PM patients and no dose reduction in IM patients who start treatment with irinotecan. Based on the DPWG clinical implication score, UGT1A1 genotyping is considered "essential", indicating that UGT1A1 testing must be performed prior to initiating irinotecan treatment.

Dutch pharmacogenetics working group guideline for the gene-drug interaction of ABCG2, HLA-B and Allopurinol, and MTHFR, folic acid and methotrexate.

The Dutch Pharmacogenetics Working Group (DPWG) aims to facilitate PGx implementation by developing evidence-based pharmacogenetics guidelines to optimize pharmacotherapy. This guideline describes the gene-drug interaction of ABCG2 with allopurinol, HLA-B with allopurinol, MTHFR with folic acid, and MTHFR with methotrexate, relevant for the treatment of gout, cancer, and rheumatoid arthritis. A systematic review was performed based on which pharmacotherapeutic recommendations were developed. Allopurinol is less effective in patients with the ABCG2 p.(Gln141Lys) variant. In HLA-B*58:01 carriers, the risk of severe cutaneous adverse events associated with allopurinol is strongly increased. The DPWG recommends using a higher allopurinol dose in patients with the ABCG2 p.(Gln141Lys) variant. For HLA-B*58:01 positive patients the DPWG recommends choosing an alternative (for instance febuxostat). The DPWG indicates that another option would be to precede treatment with allopurinol tolerance induction. Genotyping of ABCG2 in patients starting on allopurinol was judged to be 'potentially beneficial' for drug effectiveness, meaning genotyping can be considered on an individual patient basis. Genotyping for HLA-B*58:01 in patients starting on allopurinol was judged to be 'beneficial' for drug safety, meaning it is advised to consider genotyping the patient before (or directly after) drug therapy has been initiated. For MTHFR-folic acid there is evidence for a gene-drug interaction, but there is insufficient evidence for a clinical effect that makes therapy adjustment useful. Finally, for MTHFR-methotrexate there is insufficient evidence for a gene-drug interaction.

HLA-DQB1 6672G>C (rs113332494) is associated with clozapine-induced neutropenia and agranulocytosis in individuals of European ancestry.

The atypical antipsychotic clozapine is the only effective medication for treatment-resistant schizophrenia. However, it can also induce serious adverse drug reactions, including agranulocytosis and neutropenia. The mechanism by which it does so is largely unknown, but there is evidence for contributing genetic factors. Several studies identified HLA-DQB1 variants and especially a polymorphism located in HLA-DQB1 (6672G>C, rs113332494) as associated with clozapine-induced agranulocytosis and neutropenia. We analysed the risk allele distribution of SNP rs113332494 in a sample of 1396 controls and 178 neutropenia cases of which 60 developed agranulocytosis. Absolute neutrophil counts of 500/mm3 and 1500/mm3 were used for defining agranulocytosis and neutropenia cases, respectively. We also performed association analyses and analysed local ancestry patterns in individuals of European ancestry, seeking replication and extension of earlier findings. HLA-DQB1 (6672G>C, rs113332494) was associated with neutropenia (OR = 6.20, P = 2.20E-06) and agranulocytosis (OR = 10.49, P = 1.83E-06) in individuals of European ancestry. The association signal strengthened after including local ancestry estimates (neutropenia: OR = 10.38, P = 6.05E-08; agranulocytosis: OR = 16.31, P = 1.39E-06), with effect sizes being considerably larger for agranulocytosis. Using local ancestry estimates for prediction, the sensitivity of rs113332494 increased from 11.28 to 55.64% for neutropenia and from 16.67 to 53.70% for agranulocytosis. Our study further strengthens the evidence implicating HLA-DQB1 in agranulocytosis and neutropenia, suggesting components of the immune system as contributing to this serious adverse drug reaction. Using local ancestry estimates might help in identifying risk variants and improve prediction of haematological adverse effects.

Therapeutic Drug Monitoring of Psychotropics as a Diagnostic Tool for CYP2D6 Poor Metabolizer Phenotype.

BACKGROUND: Interpatient variability in cytochrome P450 2D6 (CYP2D6) enzyme activity alters the serum concentrations of most psychotropics, which often have narrow therapeutic indices. Therefore, preemptive knowledge of CYP2D6 activity is desired. However, accessible indicators for deficient CYP2D6 activity are necessary because genotyping all patients prescribed CYP2D6 metabolized drugs is often not feasible or cost-effective. METHODS: In this study, the predictive value of the ratio between a CYP2D6 substrate and its metabolite, known as the metabolic ratio (MR), the dose-corrected serum concentration of substrate (CDR), and the dose-corrected sum concentration of substrate and metabolite (Sum CDR) of venlafaxine, risperidone, aripiprazole, and nortriptyline were determined to predict the CYP2D6 poor metabolizer (PM) phenotype. The area-under-the-receiver operator characteristic curve, as well as the sensitivity, specificity, and positive and negative predictive values of the optimal thresholds, were calculated. RESULTS: Although the MR, CDR, and Sum CDR all predicted the CYP2D6 PM phenotype, the predictive value of the MR was most robust for venlafaxine and aripiprazole, and the Sum CDR was inferior for all 3 psychotropics. MRs of venlafaxine, risperidone, and aripiprazole, and CDR of nortriptyline showed an area-under-the-receiver operator characteristics (95% confidence interval) of 97.2% (94.7%-99.6%), 93.0% (88.8%-97.2%), 97.8% (95.4%-100.0%), and 85.6% (78.0%-93.1%), respectively. Thresholds of the log(MR) of ≥0.1 for venlafaxine, ≥0.0 for risperidone, and ≥1.5 for aripiprazole, and log(CDR) ≥0.5 for nortriptyline produced >92% sensitivity and >64% specificity. CONCLUSIONS: If therapeutic drug monitoring is available, the thresholds presented here could serve as a diagnostic tool for the CYP2D6 PM phenotype of psychiatric patients prescribed the aforementioned psychotropic medications.

Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction of DPYD and fluoropyrimidines.

Despite advances in the field of pharmacogenetics (PGx), clinical acceptance has remained limited. The Dutch Pharmacogenetics Working Group (DPWG) aims to facilitate PGx implementation by developing evidence-based pharmacogenetics guidelines to optimize pharmacotherapy. This guideline describes the starting dose optimization of three anti-cancer drugs (fluoropyrimidines: 5-fluorouracil, capecitabine and tegafur) to decrease the risk of severe, potentially fatal, toxicity (such as diarrhoea, hand-foot syndrome, mucositis or myelosuppression). Dihydropyrimidine dehydrogenase (DPD, encoded by the DPYD gene) enzyme deficiency increases risk of fluoropyrimidine-induced toxicity. The DPYD-gene activity score, determined by four DPYD variants, predicts DPD activity and can be used to optimize an individual's starting dose. The gene activity score ranges from 0 (no DPD activity) to 2 (normal DPD activity). In case it is not possible to calculate the gene activity score based on DPYD genotype, we recommend to determine the DPD activity and adjust the initial dose based on available data. For patients initiating 5-fluorouracil or capecitabine: subjects with a gene activity score of 0 are recommended to avoid systemic and cutaneous 5-fluorouracil or capecitabine; subjects with a gene activity score of 1 or 1.5 are recommended to initiate therapy with 50% the standard dose of 5-fluorouracil or capecitabine. For subjects initiating tegafur: subjects with a gene activity score of 0, 1 or 1.5 are recommended to avoid tegafur. Subjects with a gene activity score of 2 (reference) should receive a standard dose. Based on the DPWG clinical implication score, DPYD genotyping is considered "essential", therefore directing DPYD testing prior to initiating fluoropyrimidines.

Accurate determination of the CYP2D6 (*1/*4)xN genotype by quantitative PCR.

BACKGROUND: CYP2D6 is responsible for the metabolism of approximately 25% of all drugs. The expression of cytochrome P450 2D6 (CYP2D6) is influenced by a combination of factors including polymorphisms in the CYP2D6 gene. Analysis of the CYP2D6 genotype is used to personalize the medication to a patient's metabolism. Although many genotypes can be determined using standard genotype analysis, in some cases, an incomplete analysis is performed. The CYP2D6 genotype *1/*4 often occurs in combination with a multiplication of the CYP2D6 gene, and is reported as (*1/*4)xN. Accurate determination of the multiplied gene is essential to provide a phenotype prediction for these patients. Duplication of the *1 gene leads to an extensive metabolizer genotype whereas multiplication of the *4 gene would not lead to extra functional enzyme and therefore provides an intermediate metabolizer phenotype. METHODS: Here, a technique is described in which the copy numbers of both the *4 and *1 genes are determined using quantitative PCR techniques. RESULTS AND CONCLUSIONS: This technique provides a method to predict the patient's CYP2D6 phenotype, and is therefore an important step toward personalized medicine.

Pharmacogenetic Information in Clinical Guidelines: The European Perspective.

Surveys among pharmacists and physicians show that these healthcare professionals have successfully adopted the concept of pharmacogenomics (PGx).1-3 In addition, patients are willing to consent to participate in PGx implementation studies.4 However, the surveys also show that healthcare professionals do not frequently order or recommend a PGx test.1,2 Among others, a frequently perceived hurdle for clinical uptake of PGx is the availability of guidelines translating PGx test results into clinical actions for individual patients.5,6.

The Influence of the CYP3A4*22 Polymorphism and CYP2D6 Polymorphisms on Serum Concentrations of Aripiprazole, Haloperidol, Pimozide, and Risperidone in Psychiatric Patients.

INTRODUCTION: Cytochrome P450 3A4 (CYP3A4) is involved in the metabolism of greater than 50% of the prescribed drugs. Recently, the CYP3A4*22 allele was reported to be associated with lower CYP3A4 expression and activity. Quetiapine, an antipsychotic metabolized by only CYP3A4, displayed higher serum levels in CYP3A4*22 carriers. Aripiprazole, haloperidol, pimozide, and risperidone are antipsychotics that are metabolized by CYP3A4 and CYP2D6. We investigated to which degree the CYP3A4*22 single-nucleotide polymorphism affects serum concentrations of patients receiving these drugs and compared this with the influence of CYP2D6 polymorphisms. METHODS: Eight hundred thirty-four adult patients were included in this study, of whom 130 used aripiprazole, 312 used haloperidol, 86 used pimozide, and 396 used risperidone. Serum levels of the drug and, if available, their active metabolites were collected as well as information on dose. Patients were genotyped for CYP3A4*22 using restriction fragment length polymorphism analysis. Genotyping for CYP2D6 was done with allele-specific polymerase chain reaction. RESULTS: No differences were found in serum (dose-corrected) concentrations of the antipsychotics between CYP3A4*22 wild-type and carrier groups. In contrast, CYP2D6 genotype did affect dose-corrected concentrations of the antipsychotics: for example, median dose-corrected concentrations were 56%, 86%, and 400% higher in predicted poor metabolizers versus extensive metabolizers for aripiprazole (P = 0.004), haloperidol (P > 0.001), and risperidone (P < 0.001), respectively, although a multiple regression analysis showed that only 4% to 17% of the variation in these concentrations could be explained by CYP2D6 status. CONCLUSIONS: Heterozygous presence of CYP3A4*22 does not increase serum levels of antipsychotics metabolized by both CYP3A4 and CYP2D6, whereas CYP2D6 polymorphisms do affect serum levels to a limited extent.

The influence of the CYP3A4*22 polymorphism on serum concentration of quetiapine in psychiatric patients.

BACKGROUND: Besides dietary, hormonal, or pathological factors, mutations in cytochrome P450 enzymes are thought to be responsible for the interindividual differences in serum concentrations of cytochrome P450 (CYP450)-dependent drugs. Cytochrome P450 3A4 (CYP3A4) is involved in the metabolism of greater than 50% of the prescribed drugs. Recently, a new single-nucleotide polymorphism (SNP) was found (CYP3A4*22), which results in a decreased enzyme activity, in contrast to the other known SNPs in CYP3A4. We investigated to which degree the CYP3A4*22 SNP affects serum concentrations of patients receiving quetiapine, a drug exclusively metabolized by CYP3A4. METHODS: Two hundred thirty-eight adult patients receiving quetiapine were included in this study, based on availability of DNA, serum quetiapine levels, and information on dose. Patients were genotyped for CYP3A4*22 using allele-specific polymerase chain reaction, and, as a control, restriction fragment length polymorphism analysis. RESULTS: Carriers of the CYP3A4*22 allele (*1/*22 and *22/*22, n = 31) had 2.5-fold higher serum levels of quetiapine than did wild-type patients (n = 207; P = 0.03) when using a comparable dose (median, 300 mg/d for both wild-type and carriers; P = 0.67). The dose-corrected serum concentration (C/D) was 67% higher in carriers than in wild-type patients (P = 0.01). The number of patients who achieved serum levels above the therapeutic range (>500 µg/L) was also higher in *22-allele carriers (16.1% vs 2.9%; P = 0.007). CONCLUSION: Being a carrier of the CYP3A4*22 allele increases the serum concentration of quetiapine at comparable doses.

The association between CYP2D6 genotype and switching antipsychotic medication to clozapine.

PURPOSE: Genetic variation in the cytochrome P450 2D6 (CYP2D6) enzyme is responsible for interindividual differences in the metabolism of many antipsychotic drugs, but the clinical relevance of polymorphisms in CYP2D6 for response to antipsychotic treatment is relatively unknown. In the Netherlands, clozapine is prescribed only when patients are non-responsive to or intolerant of at least two different antipsychotics. The aim of our study was to determine the association of the CYP2D6 genotype with switching to clozapine, which served as a surrogate outcome marker for treatment response to antipsychotics. METHODS: CYP2D6 genotype was assessed in patients who had been switched to clozapine and compared with antipsychotic users whose treatment regimen included no more than two different antipsychotic drugs and no clozapine. We also performed the analysis in patients who only used CYP2D6-dependent antipsychotics. RESULTS: A total of 528 patients were included in the study (222 cases, 306 controls). No statistically significant differences were found in the distribution of the polymorphisms among the case and control groups, both in all patients and in only those patients using CYP2D6-dependent antipsychotics. However, a trend was observed, suggesting an inverse association between CYP2D6 genotype and the switch to clozapine. (9.5 vs. 5.1 % poor metabolisers and 1.3 vs. 2.6 % ultrarapid metabolisers in cases vs. controls, respectively). CONCLUSIONS: Although the results of our study suggest that the CYP2D6 phenotype is not a major determining factor for patients to be switched to clozapine treatment, larger studies are warranted with a focus on the clinical consequences of the CYP2D6 ultrarapid metaboliser and poor metaboliser phenotypes.

Polymorphisms of the LEP, LEPR and HTR2C gene: obesity and BMI change in patients using antipsychotic medication in a naturalistic setting.

UNLABELLED: Weight gain is a frequently occurring serious somatic adverse effect of atypical antipsychotic agents. Genetic factors influence the risk of an individual to gain weight. OBJECTIVES: To determine whether LEPR Q223R, LEP -2548G/A and HTR2C -759C/T polymorphisms are associated with obesity and weight change in patients using atypical antipsychotic drugs. METHODS: A longitudinal study design was used in a naturalistic setting. The study population included 141 patients, all of whom were using an atypical antipsychotic drug. The body mass index was measured twice. Primary outcome measures were obesity at the moment of first measurement and body mass index change during treatment. Determinants were the LEPR Q223R (rs1137101), the LEP -2548G/A SNP (rs7799039) and the HTR2C -759C/T (rs3813929) polymorphisms. RESULTS: Of the 141 included patients, 35 (24.8%) were obese. In females, presence of the LEPR 223R allele was associated with an increased risk of obesity (47.6 vs 17.6%; p = 0.03). In males this association was not found. None of the SNPs were significantly associated with weight change during treatment. CONCLUSIONS: The LEPR Q223R polymorphism may be a risk factor for obesity in women with a psychotic disorder treated with atypical antipsychotic drugs. This is in line with earlier findings of our group.

Combined HTR2C-LEP genotype as a determinant of obesity in patients using antipsychotic medication.

Obesity is one of the most serious common somatic adverse effects of atypical antipsychotic agents. Genetic factors partly determine the individual patients risk of developing obesity during treatment. As weight-regulating mechanisms, such as the leptinergic and serotonergic system, may be interdependent, genetic polymorphisms in these systems also may show interactions. To determine whether combined HTR2CLEP genotype or HTR2C-LEPR genotype are associated with obesity in patients using atypical antipsychotic drugs, a cross-sectional study design was used. The study population included 200 patients aged between 18 and 65 years of age, diagnosed with a psychotic disorder, all of whom had been using an atypical antipsychotic for at least 3 months. Primary outcome measure was presence of obesity (body mass index, >30). Determinants were the combined (HTR2C -759C/T-LEPR Q223R), (HTR2C -759C/T-LEP -2548G/A, (HTR2C rs1414334-LEPR Q223R) and (HTR2C rs1414334-LEP -2548G/A) genotypes. Of the 200 included patients, 61 (31%) were obese. In patients without the HTR2C -759T allele, presence of the LEP -2548G allele was associated with obesity (odds ratio, 2.88; 95% confidence interval, 1.05-7.95). The results of the other analyses showed some nonsignificant trends. The combined (HTR2C -759C/TYLEP -2548G/A) genotype may be a determinant of obesity in patients during treatment with atypical antipsychotic drugs.

Association between LEP and LEPR gene polymorphisms and dyslipidemia in patients using atypical antipsychotic medication.

BACKGROUND: Treatment with atypical antipsychotic agents is often complicated by dyslipidemia, which is a risk factor for cardiovascular disease. OBJECTIVES: To determine whether the LEPR Q223R, the LEP -2548G/A, and the HTR2C -759C/T polymorphisms are associated with dyslipidemia in patients using atypical antipsychotic drugs. METHODS: A cross-sectional study design was used. The study population included all patients who had been screened for dyslipidemia between January 2008 and March 2009 and had been using an atypical antipsychotic for at least 3 months at the moment of screening. Primary outcome measure was the mean total cholesterol (TC)/HDL ratio. Determinants were the LEPR Q223R (rs1137101), the LEP -2548G/A SNP (rs7799039), and the HTR2C -759C/T (rs3813929) polymorphisms. RESULTS: A total of 353 patients was included in the study, of which 184 (52.1%) were men and 169 (47.9%) were women. Overall, no significant differences were found between the different genotype groups. However, in patients with a first admission to the hospital less than a year ago, the LEP -2548G allele had a lower mean TC/HDL ratio compared with patients without the LEP -2548G allele (6.41 vs. 4.12, P-adj: 0.017) and patients with the LEPR 223R allele had a lower mean TC/HDL ratio compared with patients without the LEPR 223R allele (5.04 vs. 3.92, P-adj: 0.019). The association between the LEP -2548G/A allele and the TC/HDL ratio in recent patients was present only in men. CONCLUSION: Genetic variation in the LEP and LEPR gene may be associated with short-term dyslipidemia in patients using atypical antipsychotic agents.

Implementation of CYP2D6 genotyping in psychiatry.

BACKGROUND: Response to pharmacotherapy is subject to large inter-individual variation. Most medicine is metabolised by CYP450 enzymes, including CYP2D6. CYP2D6 activity is determined substantially by the genetic composition. Polymorphisms of CYP2D6 are associated with inadequate response on treatment with psychotropics. The large number of polymorphisms of CYP2D6 raises the question of the way associations between genotype and clinical outcome measurements should be analysed and implemented into a clinical setting. OBJECTIVE: Several methods used for grouping CYP2D6 genotypes are discussed, including the Predicted Phenotype method, the Semi-quantitative Gene Dose system and the Activity Score system. Possible ways to translate genetic information into dose recommendations and to implement genetic information into a clinical setting are discussed. CONCLUSIONS: A 100% accurate prediction of metabolic activity is not possible due to the effect of non-genetic factors on metabolic activity. When used for clinical purposes, none of the methods for grouping CYP2D6 genotypes has substantial advantages. The Semi-quantitative Gene Dose or Activity Score system might be preferred for research purposes. Large clinical studies on cost-efficiency will be needed to assure the cost-efficiency of routinely genotyping CYP2D6. Creating more awareness among prescribers of psychotropics about the genetic causes for aberrant drug response, and the possibility of genotyping, is desirable.

Polymorphisms of the LEP- and LEPR gene and obesity in patients using antipsychotic medication.

Weight gain is one of the most serious adverse effects of atypical antipsychotic agents. Genetic factors influence the risk of an individual to gain weight. The objective of our study was to determine whether the LEPR Q223R polymorphism and the LEP promoter 2548G/A polymorphism are associated with obesity in a group of male and female patients using atypical antipsychotic drugs. A cross-sectional study design was used. The study population consisted of 200 patients aged between 18 and 65 years, diagnosed with a psychotic disorder, all of whom had been using an atypical antipsychotic for at least 3 months. The primary outcome measure was the presence of obesity. Determinants were the LEPR Q223R (rs1137101) polymorphism and the LEP promoter 2548G/A single nucleotide polymorphism ([SNP] rs7799039). Of the 200 included patients, 61 (31%) were obese. In females, the LEPR 223QR (adjusted odds ratio, 0.11; 95% confidence interval [CI], 0.02-0.54) and LEPR 223RR (adjusted odds ratio, 0.07; 95% CI, 0.01-0.63) genotypes were associated with a lower risk of obesity. In males, this association was not found. In females, the average body weight was 13.6 kg more (95% CI, 1.11-26.1) in the LEPR 223QQ group compared with the LEPR 223RR group. No significant association was found between the LEP promoter 2548G/A polymorphism and obesity. Taken together, the results of our study show that the LEPR Q223R polymorphism may be associated with obesity in women with a psychotic disorder treated with atypical antipsychotic drugs and stress the importance of stratification for gender when investigating the role of variations of the LEP- and LEPR genes on the metabolic side effects of antipsychotic medications.

Semi-quantitative CYP2D6 gene doses in relation to metabolic ratios of psychotropics.

PURPOSE: Genetic polymorphisms in cytochrome P450 (CYP) enzyme CYP2D6 have a substantial effect on the success of pharmacotherapy. Different models, including a predicted-phenotype model and a semi-quantitative gene dose (SGD) model, have been developed based on CYP genotype. The objective of this study was to investigate the surplus value of the SGD model in predicting the metabolic ratios (MRs) of the psychotropics venlafaxine, fluoxetine and risperidone. METHODS: Phenotype prediction and semi-quantitative gene doses were conducted after genotyping for CYP2D6 *3, *4, *5, *6, *9, *10, *41 and gene multiplication. RESULTS: The predicted-phenotype and SGD model showed increasing mean MRs with increasing predicted metabolic activity and decreasing SGD values, respectively, for all three psychotropics. The reliability of MR prediction was higher for the SGD model. CONCLUSIONS: Both models are suitable for venlafaxine, fluoxetine and risperidone. In this study, a surplus value of semi-quantitative gene dose model was present, but small, for all three psychotropics.