Common CYP2D6 Research Articles

In vitro comparative analysis of metabolic capabilities and inhibitory profiles of selected CYP2D6 alleles on tramadol metabolism.

Tramadol, the 41st most prescribed drug in the United States in 2021 is a prodrug activated by CYP2D6, which is highly polymorphic. Previous studies showed enzyme-inhibitor affinity varied between different CYP2D6 allelic variants with dextromethorphan and atomoxetine metabolism. However, no study has compared tramadol metabolism in different CYP2D6 alleles with different CYP2D6 inhibitors. We hypothesize that the inhibitory effects of CYP2D6 inhibitors on CYP2D6-mediated tramadol metabolism are inhibitor- and CYP2D6-allele-specific. We performed comparative analyses of CYP2D6*1, CYP2D6*2, CYP2D6*10, and CYP2D6*17 using recombinant enzymes to metabolize tramadol to O-desmethyltramadol, measured via UPLC-MS/MS. The Michaelis constant (Km) and maximum velocity (Vmax) for each CYP2D6 allele, and IC50 values for different inhibitors were determined by nonlinear regression analysis. Intrinsic clearance was calculated as Vmax/Km. The intrinsic clearance of tramadol was almost double for CYP2D6*2 (180%) but was much lower for CYP2D6*10 and *17 (20% and 10%, respectively) compared to CYP2D6*1. The inhibitor potencies (defined by Ki) for the various inhibitors for the CYP2D6*1 allele were quinidine > terbinafine > paroxetine ≈ duloxetine >>bupropion. CYP2D6*2 showed the next greatest inhibition, with Ki ratios compared to CYP2D6*1 ranging from 0.96 to 3.87. For each inhibitor tested, CYP2D6*10 and CYP2D6*17 were more resistant to inhibition than CYP2D6*1 or CYP2D6*2, with most Ki ratios in the 3-9 range. Three common CYP2D6 allelic variants showed different metabolic capacities toward tramadol and genotype-dependent inhibition compared to CYP2D6*1. Further studies are warranted to understand the clinical consequences of inhibitor and CYP2D6 genotype-dependent drug-drug interactions on tramadol bioactivation.

The Frequency of CYP2D6 and CYP3A4/5 Genotypes and The Impact of Their Allele Translation and Phenoconversion-Predicted Enzyme Activity on Risperidone Pharmacokinetics in Saudi Children with Autism.

Data on the role of CYP2D6 and CYP3A4/5 polymorphisms in relation to risperidone (RIS) pharmacokinetics (PK) in children are relatively limited and inconsistent. This is partially attributable to the limited coverage of CYP2D6 and CYP3A4/5 metabolizer phenotypes, particularly those of poor and ultrarapid metabolizers (PMs and UMs), which has led to calls for studies of populations with a non-European background that may carry variants that are less frequent in Europeans. Children ≤ 18years old with at least 8weeks of a RIS-based regimen were recruited from three autism centers in Riyadh, Saudi Arabia. The primary outcomes measured were plasma concentrations of RIS and 9-hydroxyrisperidone (9-OH-RIS) and their dose-adjusted (C/D) ratios as a function of phenotypes and activity score (AS). For accurate DNA genotyping, targeted pharmacogenomic testing with the Axiom PharmacoFocus Array was performed via examination of a broad collection of probesets targeting CYP2D6 and CYP3A4/5 variants. The frequency of genotypes/phenotypes and the impact of their allele translation and phenoconversion-predicted enzyme activity were examined. The final cohort included 83 individuals. The most common CYP2D6 phenotype in our population was normal metabolizers (NMs, 66.3%). Inconsistent with some previous studies, the three phenotypes of intermediate metabolizers (IMs), NMs, and UMs were significantly different in terms of RIS concentration, the RIS/9-OH-RIS ratio, the RIS C/D ratio and the 9-OH-RIS C/D ratio. According to AS analyses, there were statistically significant differences in the RIS concentration (P = 0.013), RIS/9-OH-RIS ratio (P < 0.001) and RIS C/D ratio (P = 0.030) when patients were categorized into AS ≤ 1 vs. AS > 1. None of the CYP3A4/5 star allele translated phenotypes revealed a significant influence on any of the RIS PK parameters. Notably, neither CYP2D6 nor CYP3A4/5 phenotyping demonstrated a significant impact on the total active moiety, suggesting that other gene variants could modulate RIS PK. The study confirmed the previously reported partial impact of the CYP2D6 gene on RIS PK. However, future studies using contemporary genotyping techniques targeting a wide range of variants in other candidate genes must be conducted to further examine their interactive effects on RIS PK and the clinical response.

Metabolic ratios and SNPs implicated in tramadol-related deaths.

Tramadol (TR) metabolism is performed by polymorphic enzymes that are influenced by genetic polymorphisms. Within this scope, the study presented here aimed to describe 41 genetic variants within CYP2D6, CYP2B6, and CYP3A4 genes in 48 cases of TR-related death that may be involved in the response to TR and to assess whether there is a correlation between these genetic variants and metabolic ratios (MRs). Blood samples from 48 victims of a TR-related death were analyzed to determine the concentrations of TR and its metabolites [O-desmethyltramadol (M1) & N-desmethyltramadol (M2)] using a LC-MS/MS method. All the samples were also genotyped for 41 common CYP2D6, CYP2B6, and CYP3A4 single nucleotide polymorphisms (SNPs) using the HaloPlex Target Enrichment system. Cases with the T/- genotype (rs35742686 in CYP2D6) had significantly higher M2/M1 ratio than cases with T/T genotype and cases with the G/A genotype (rs35599367 in CYP3A4) had significantly higher MR2 (TR/M2) ratio than cases with G/G genotype. The frequency of tested SNPs which belong to CYP2D6, CYP2B6, and CYP3A4 revealed the over-presentation of 2 SNPs (rs1058172 in CYP2D6 and rs4803419 in CYP2B6) in TR overdose group, which could have toxicological implications. These results indicate these polymorphisms in CYP2D6, CYP2B6, and CYP3A4 might influence the function and could increase the risk of toxicity. However, these findings should be supported in future studies with larger groups of cases.

Genetic Testing is Superior Over Endogenous Pharmacometabolomic Markers to Predict Safety of Haloperidol in Patients with Alcohol-induced Psychotic Disorder.

Previous studies have shown that haloperidol biotransformation is mainly metabolized by CYP2D6. The CYP2D6 gene is highly polymorphic, contributing to inter-individual differences in enzymatic activity, and may impact haloperidol biotransformation rates, resulting in variable drug efficacy and safety profiles. The study aimed to investigate the correlation of the CYPD6 activity with haloperidol's efficacy and safety rates in patients with alcohol-induced psychotic disorders. One hundred male patients received 5-10 mg/day haloperidol by injections for 5 days. The efficacy and safety assessments were performed using PANSS, UKU, and SAS-validated psychometric scales. No relationship between haloperidol efficacy or safety and the experimental endogenous pharmacometabolomic marker for CYP2D6 activity, urinary 6-НО-ТНВС/pinoline ratio was identified. In contrast, we found a statistically significant association between haloperidol adverse events and the most common CYP2D6 loss-of-function allele CYP2D6*4 (p<0.001). Evaluation of the single polymorphism rs3892097 that defines CYP2D6*4 can predict the safety profile of haloperidol in patients with AIPD, whereas metabolic evaluation using an endogenous marker was not a suitable predictor. Furthermore, our results suggest haloperidol dose reductions could be considered in AIPD patients with at least one inactive CYP2D6 allele.

Association of CYP2D6*4 gene polymorphism with early papillary thyroid carcinoma

Abstract Objectives CYP2D6 is highly polymorphic and a common variant CYP2D6*4 results in the generation of poor metabolizer enzyme. The CYP2D6*4 variant has been associated with altered susceptibility to several cancers. The aim of the present case-control study aims to investigate the association between CYP2D6*4 polymorphism and the risk of papillary thyroid carcinoma (PTC). Materials and methods A study population of 97 cases with PTC and 120 controls were included in the study. Genotyping was done by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method to detect the presence of CYP2D6*4. Results The CYP2D6*4 was associated with significantly increased PTC risk when compared with controls (odds ratio [OR]=1.995, 95% confidence interval [CI]=1.060–3.752, p=0.031). Besides, CYP2D6*4 allele frequency was higher in PTC patients with age ≤50 years when compared to those with age &gt;50 (OR=2.380, 95% CI=1.191–4.755, p=0.013). CYP2D6*4 allele frequency was higher in patients who had encapsulated tumors, but it was not statistically significant (p=0.111). No relationship was found between CYP2D6*4 and PTC variants or between early (I/II) and late (III/IV) tumor stages. Conclusions Our findings indicate that the poor metabolizer CYP2D6*4 genotype may be a risk factor, especially in early PTC development. Further research with larger groups is required for the confirmation of our consequences.

Distribution and linkage disequilibrium of the enhancer SNP rs5758550 among Latin American populations: influence of continental ancestry.

A single nucleotide polymorphism (SNP), rs5758550, in a critical enhancer region downstream of the CYP2D6 promoter was proposed to modulate CYP2D6 activity, depending on its linkage disequilibrium (LD) with the common CYP2D6 SNP, rs16947. We examined the influence of individual biogeographical ancestry on the frequency distribution of rs5758550 and its LD with rs16947 in Latin American populations. We then inferred the impact of rs5758550 on the predictive accuracy of CYP2D6 metabolizer status based on CYP2D6 haplotypes. The study cohorts consisted of the Admixed American (AMR) superpopulation of the 1000 Genomes Project (n = 347) plus an admixed Brazilian (BR) cohort (N = 224). Individual proportions of Native, African and European ancestry estimated by ADMIXTURE analysis, were used to design four sub-cohorts, in which one of the three ancestral roots predominated largely (>6 fold) over the other two: AMR-NAT and AMR-EUR, comprised 80 AMR individuals each, with >70% Native or >70% European ancestry, BR-EUR and BR-AFR comprised Brazilians with >90% European (n = 80) or >70% African ancestry (n = 64), respectively. CYP2D6 haplotypes were inferred based on 10 commonly reported CYPD6 variants with or without addition of the enhancer rs5758550 SNP, pairwise LD was assessed by the R parameter, and activity scores were used to infer CYP2D6 metabolizer status. Minor allele frequency (MAF) of all CYP2D6 SNPs, except the rare (<0.02) rs5030656 and rs35742688, differed significantly across sub-cohorts, whereas no difference was observed for rs5758550. The R values for LD between rs5758550 and rs16947 ranged from 0.15 (BR-AFR) to 0.85 (AMR-NAT), with intermediate values in the predominantly European sub-cohorts (0.34-0.67). As a consequence, distribution of CYP2D6 haplotypes containing the rs16947 SNP plus rs5758550 wild-type (A) or variant (G) allele differed markedly across sub-cohorts. Comparison of the CYP2D6 activity scores assigned to the wild-type (CYP2D6*1) and the rs16947-containing haplotypes with or without inclusion of rs5758550, showed that knowledge of the rs5758550 genotype has negligible impact on predicted CYP2D6 phenotypes in AMR-EUR and AMR-NAT, but affects prediction in 10.7 and 21.6% of BR-EUR and BR-AFR individuals, respectively. Collectively, the present results reveal potential pharmacogenomic (PGx) implications of the population diversity in Latin America, affecting a major drug-metabolizing pathway. Thus, the influence of enhancer rs5758550 on assignment of CYP2D6 metabolic phenotypes varies markedly, according to the individual proportions of Native, European and African ancestry. This conclusion reinforces the notion that extrapolation of PGx data across the heterogeneous Latin American is risky, if not inappropriate.

CYP2D6 Basic Genotyping of Patients with Chronic Pain Receiving Tramadol or Codeine. A Study in a Greek Cohort.

To assess CYP2D6 genotype prevalence in chronic pain patients treated with tramadol or codeine. Prospective cohort study. General hospital, pain management unit. Patients with chronic pain, treated with codeine or tramadol. Patients' pain was assessed at baseline (numeric rating scale [NRS]; 0-10). Prescription of codeine or tramadol was selected randomly. The assessment of patients' response to the drug in terms of pain relief and adverse effects was performed after 24 hours. Reduction of pain intensity of >50% or an NRS <4 was considered a positive response. Patients' blood samples were collected during the first visit. Genotyping for the common variants CYP2D6 *2, *3, *4, *5, *6, *9, *10, *14, and *17 was performed, and alleles not carrying any polymorphic allele were classified as CYP2D6*1 (wild-type [wt]). Seventy-six consecutive patients were studied (20 males, 56 females), aged 21-85 years. Thirty-four received tramadol and 42 codeine. The main genotypes of CYP2D6 identified were the wt/wt (35.5%), the *4/wt (17.1%), and the *6/wt (10.5%). Adverse effects were common, especially in carriers of *9/*9, *5/*5, *5/*4, and *10/*10, as well as in variants including the 4 allele (*4/*1 [38.4%] and *4/*4 [42.8%]). Genotyping can facilitate personalized pain management with opioids, as specific alleles are related to decreased efficacy and adverse effects.

Common CYP2D6, CYP2C9, and CYP2C19 Gene Variants, Health Anxiety, and Neuroticism Are Not Associated With Self-Reported Antidepressant Side Effects.

Many patients prescribed an antidepressant stop taking it because of side effects. Genetic factors and psychological factors including state or trait anxiety, may explain variation in side effect outcomes. Our aim was to examine the relative contribution of genetic and psychological factors in people with self-reported antidepressant side effects. We undertook a case control study (n = 194) of people who took a selective serotonin reuptake inhibitor (SSRI) or serotonin/noradrenaline reuptake inhibitor (SNRI) in the past 2 years, recruited via social media advertising. Cases had previously not tolerated at least one trial of an SSRI or SNRI, evidenced by stopping the drug or reducing the dose by at least 50% because of a side effect. Control participants had taken an SSRI or SNRI but did not meet case criteria. Variation in the genes CYP2D6, CYP2C19, and CYP2C9 was analyzed by Sanger sequencing on DNA extracted from blood or saliva. Participants completed the Short Health Anxiety Inventory—18, K10, and NEO-FFI-3 personality questionnaire. Participants were 87.1% female. 70.8% had a current K10 score of 22 or more. There was no consistent evidence that cases had higher psychological distress, health anxiety, or neuroticism. There was low correspondence between participants’ CYP2D6, CYP2C19, and CYP2C9 phenotypes and their history of antidepressant tolerability. For this cohort of patients a history of not tolerating SSRI or SNRI therapy was not associated with variation in the pharmacogenes we tested, nor was it associated with health anxiety or neuroticism.

Frequencies of clinically important CYP2C19 and CYP2D6 alleles are graded across Europe

CYP2C19 and CYP2D6 are important drug-metabolizing enzymes that are involved in the metabolism of around 30% of all medications. Importantly, the corresponding genes are highly polymorphic and these genetic differences contribute to interindividual and interethnic differences in drug pharmacokinetics, response, and toxicity. In this study we systematically analyzed the frequency distribution of clinically relevant CYP2C19 and CYP2D6 alleles across Europe based on data from 82,791 healthy individuals extracted from 79 original publications and, for the first time, provide allele confidence intervals for the general population. We found that frequencies of CYP2D6 gene duplications showed a clear South-East to North-West gradient ranging from <1% in Sweden and Denmark to 6% in Greece and Turkey. In contrast, an inverse distribution was observed for the loss-of-function alleles CYP2D6*4 and CYP2D6*5. Similarly, frequencies of the inactive CYP2C19*2 allele were graded from North-West to South-East Europe. In important contrast to previous work we found that the increased activity allele CYP2C19*17 was most prevalent in Central Europe (25–33%) with lower prevalence in Mediterranean-South Europeans (11–24%). In summary, we provide a detailed European map of common CYP2C19 and CYP2D6 variants and find that frequencies of the most clinically relevant alleles are geographically graded reflective of Europe’s migratory history. These findings emphasize the importance of generating pharmacogenomic data sets with high spatial resolution to improve precision public health across Europe.

Real time PCR detection of common CYP2D6 genetic variants and its application in a Karen population study

BackgroundPlasmodium vivax malaria is characterized by relapses arising from the hypnozoite stages in the liver. The only currently registered drug for radical treatment to prevent relapse is primaquine. Primaquine, a prodrug, requires metabolism through the liver cytochrome CYP2D6 isoenzyme to its active metabolite. Mutations in the CYP2D6 gene may thus affect primaquine efficacy. A SNPs genotyping technique was developed to characterize the CYP2D6 genetic variants and tested this in the patients with Plasmodium vivax infection collected in a Karen population on the Thailand–Myanmar border, where P. vivax malaria is endemic.MethodsDirect sequencing of PCR-reamplified products (DSP) was used to uncover exonic CYP2D6 sequence variations. Subsequently, an allele-specific oligonucleotide probe real-time SNPs genotyping (ASO) assay was developed for rapid detection of the four clinically relevant CYP2D6 variants occurring in this population. These two in-house developed assays were used to genotype CYP2D6 mutations in blood samples obtained from 70 Karen adults.ResultsResults showed a high degree of concordance between the DSP and ASO methods. Six CYP2D6 point mutations were identified within the Karen population: C100T, C1039T, G1661C, G1846A, C2850T and G4180C, at frequencies of 0.43, 0.43, 0.76, 0.02, 0.32 and 0.76, respectively. The CYP2D6*2, *4, *5, *10 and *36 allelic frequencies were 0.33, 0.02, 0.03, 0.40 and 0.01, respectively. Alleles conferring an intermediate CYP2D6 metabolizer phenotype comprised 46% of the total number of alleles.ConclusionThe newly developed ASO assay is a reliable and rapid tool for large-scale CYP2D6 genotyping. The high frequency of the CYP2D6*10 allele in the Karen population warrants further assessment of its association with the radical curative efficacy of primaquine.

Interethnic Variability in CYP2D6, CYP2C9, and CYP2C19 Genes and Predicted Drug Metabolism Phenotypes Among 6060 Ibero- and Native Americans: RIBEF-CEIBA Consortium Report on Population Pharmacogenomics.

Pharmacogenetic variation in Latin Americans is understudied, which sets a barrier for the goal of global precision medicine. The RIBEF-CEIBA Network Consortium was established to characterize interindividual and between population variations in CYP2D6, CYP2C9, and CYP2C19 drug metabolizing enzyme genotypes, which were subsequently utilized to catalog their "predicted drug metabolism phenotypes" across Native American and Ibero American populations. Importantly, we report in this study, a total of 6060 healthy individuals from Ibero-America who were classified according to their self-reported ancestry: 1395 Native Americans, 2571 Admixed Latin Americans, 96 Afro-Latin Americans, 287 white Latin Americans (from Cuba), 1537 Iberians, and 174 Argentinean Ashkenazi Jews. Moreover, Native Americans were grouped into North-, Central-, and South Amerindians (from Mexico, Costa Rica, and Peru, respectively). All subjects were studied for the most common and functional CYP2D6, CYP2C9, and CYP2C19 allelic variants, and grouped as genotype-predicted poor or ultrarapid metabolizer phenotypes (gPMs and gUMs, respectively). Native Americans showed differences from each ethnic group in at least two alleles of CYP2D6, CYP2C9, and CYP2C19. Native Americans had higher frequencies of wild-type alleles for all genes, and lower frequency of CYP2D6*41, CYP2C9*2, and CYP2C19*17 (p < 0.05). Native Americans also showed less CYP2C19 gUMs than the rest of the population sample. In addition, differences within Native Americans (mostly North vs. South) were also found. The interethnic differences described supports the need for population-specific personalized and precision medicine programs for Native Americans. To the best of our knowledge, this is the largest study carried out in Native Americans and other Ibero-American populations analyzing CYP2D6, CYP2C9, and CYP2C19 genetic polymorphisms. Population pharmacogenomics is a nascent field of global health and warrants further research and education.

CYP2D6 basic genotyping as a potential tool to improve the antiemetic efficacy of ondansetron in prophylaxis of postoperative nausea and vomiting.

Postoperative nausea and vomiting (PONV) is a common complication after anesthesia and surgery. Ondansetron is one of the most widely used drugs in the prophylaxis of PONV and is extensively metabolized in humans. In vitro metabolism studies have shown that ondansetron is a substrate for human hepatic cytochrome P450 enzymes. The cytochrome P450 (human hepatic cytochrome [CYP]) 2D6 inhibitor quinidine reduced in vitro hydroxylation of ondansetron, which indicates the important role of CYP2D6 in ondansetron metabolism. Genotyping these alleles allows the prediction of the extensive metabolizer (EM) and poor metabolizer (PM) phenotypes with approx. 90-96% accuracy. The aim of our study was to evaluate whether the pharmacological prevention of PONV with ondansetron depends on the most common CYP2D6 alleles (CYP2D6*1, *3, *4, *5, and NxN [multiplication gene]). Genotyping for the defective CYP2D6*3, CYP2D6*4 and CYP2D6*5 alleles among 93 surgical female patients was performed by polymerase chain reaction amplification and restriction fragment length polymorphism (PCR-RFLP). The genetically defined EMs and ultrarapid metabolizers (UMs) of CYP2D6 had a statistically significant (p < 0.02) higher frequency of nausea and vomiting after strumectomy (33.3%) than intermediate metabolizers (IMs) (10.3%) and PMs (0%). The relative risk (odds ratio [OR]) of PONV occurrence was 5 times higher for EMs/UMs than IMs/PMs. Our results suggest that PONV treatment with ondansetron could be improved by basic, widely available and inexpensive PCR-RFLP genetic tests.

Effect of the CYP2D6*10 allele on the pharmacokinetics of clomiphene and its active metabolites.

Clomiphene citrate, a selective estrogen receptor modulator, is metabolized into its 4-hydroxylated active metabolites, primarily by CYP2D6. In this study, we investigated the effects of the most common CYP2D6 variant allele in Asians, CYP2D6*10, on the pharmacokinetics of clomiphene and its two active metabolites (4-OH-CLO and 4-OH-DE-CLO) in healthy Korean subjects. A single 50-mg oral dose of clomiphene citrate was given to 22 Korean subjects divided into three genotype groups according to CYP2D6 genotypes, CYP2D6*wt/*wt (n=8; *wt=*1 or *2), CYP2D6*wt/*10 (n=8) and CYP2D6*10/*10 (n=6). Concentrations of clomiphene and its metabolites were determined using a validated HPLC-MS/MS analytical method in plasma samples collected up to 168h after the drug intake. There was a significant difference only in the Cmax of clomiphene between three CYP2D6 genotype groups (p<0.05). Paradoxically, the elimination half-life (t1/2) and AUC of both active metabolites were all significantly increased in the CYP2D6*10 homozygous carriers, compared with other genotype groups (all p<0.001). The AUCinf of corrected clomiphene active moiety in CYP2D6*10/*10 subjects was 2.95- and 2.05-fold higher than that of CYP2D6*wt/*wt and *wt/*10 genotype groups, respectively (both p<0.001). Along with the partial impacts on the biotransformation of clomiphene and its metabolites by CYP2D6 genetic polymorphism, further studies on the effects of other CYP enzymes in a multiple-dosing condition can provide more definite evidence for the inter-individual variabilities in clomiphene pharmacokinetics and/or drug response.

ABCB1 and CYP2D6 polymorphisms and treatment response of psychotic patients in a naturalistic setting.

The aim of our study was to examine the association between ABCB1 polymorphisms G2677T/A (rs2032582) and C3435T (rs1045642) and common CYP2D6 variants, with the response to antipsychotic treatment of psychotic patients, in a naturalistic setting, in Greece. One hundred patients suffering from schizophrenia and other psychotic disorders were included in the study. Dosages were normalized to chlorpromazine equivalents. Response following 1month of treatment was assessed as either a continuous variable, using the distribution of the corrected Positive and Negative Syndrome Scale percent change, or as a dichotomous variable defined as the number of patients scoring ≥30% from the corrected baseline Positive and Negative Syndrome Scale score. Genotyping was achieved with established polymerase chain reaction-restriction fragment length polymorphism methods. With response treated as a continuous variable, the homozygous recessive rs2032582 genotypes (TT) who were simultaneously carriers of a loss-of-function CYP2D6 allele (*4 or *5) responded significantly worse than the rest of the patients. Comparison of genotype frequencies revealed a statistically significant association of the above combination. No significant association between chlorpromazine equivalents and the tested genotypes was detected. We have detected a possible interaction between ABCB1 and CYP2D6 in affecting response of psychotic patients to drug treatment, in a naturalistic setting.

Direct assessment of cytochrome P450 2D6 genotypes by high-resolution melting analysis and DNA sequencing

We developed a CYP2D6 genotyping method that required only one polymerase chain reaction (PCR) followed by a high-resolution melting curve analysis (HRM) and DNA sequencing. DNA was extracted from peripheral blood samples obtained from 100 normal individuals. From the HRM analysis using three fragments of amplicons (exons 1, 6, and 9), we successfully identified four common CYP2D6 gene polymorphisms (100C>T, 2850C>T, 2988G>A, and 4180G>C). Exons 3 and 7 were also screened by HRM analysis. The heteroduplexes, wild-type homoduplexes, and homoduplexes of compound mutations showed distinct melting plots. The other four exons (exons 2, 4, 5, and 8) were directly analyzed by DNA sequencing. In conclusion, we developed an HRM and DNA sequencing based method to assess the CYP2D6 gene directly without the need for nested PCR. This method is quick and cost-effective; it reduces the chance of PCR contamination and is suitable for clinical application.

Evaluation of CYP2D6 Polymorphic Types and Their Effect on Tamoxifen Efficacy Among Turkish Tamoxifen Users with Breast Cancer

In this study we investigated the role of the polymorphic types of CYP2D6 in the Turkish population for therapeutic efficacy among patients with early stage breast cancer who treated with tamoxifen. CYP2D6 plays an important role in tamoxifen metabolism. CYP2D6 genotypes were determined of 115 patients treated with adjuvant tamoxifen using the AmpliChip CYP450 test. Genotypes were classified by metabolizer groups and evaluated by the diagnostic and clinical characteristics of the patients and the recurrences of the disease. To create an intergroup comparison of the categorical measurements, the Chi-Square test was used. The most common CYP2D6 gene polymorphism was *1/*2 with a percentage of 19.9% (n= 19). In the Turkish population, among patients with early stage breast cancer, the normal metabolizer group was the largest with a percentage of 77.1% (n= 74). The percentage rates were determined to be 11.5% (n= 11) for intermediate metabolizers, 5.2% (n= 5) for ultrarapid metabolizers and 2.1% (n= 2) for poor metabolizers. In patients with early stage breast cancer treated with adjuvant tamoxifen. no significant correlation was detected between CYP2D6 types and recurrence and metastasis rates. This study was the first study to determine CYP2D6 genotypes and characteristics of Turkish patients with early stage breast cancer. Although no correlation was demonstrated between CYP2D6 genotype polymorphism and disease recurrence in the earlier period, long-term follow-ups seem to be warranted.

Developing and Evaluating the HRM Technique for Identifying Cytochrome P450 2D6 Polymorphisms.

Cytochrome P450 2D6 is one of the important enzymes involved in the metabolism of many widely used drugs. Genetic polymorphisms of CYP2D6 can affect its activity. Therefore, an efficient method for identifying CYP2D6 polymorphisms is clinically important. We developed a high-resolution melting (HRM) analysis to investigate CYP2D6 polymorphisms. Genomic DNA was extracted from peripheral blood samples from 71 healthy individuals. All nine exons of the CYP2D6 gene were sequenced before screening by HRM analysis. This method can detect the most genotypes (*1, *2, *4, *10, *14, *21 *39, and *41) of CYP2D6 in Chinese. All samples were successfully genotyped. The four most common mutant CYP2D6 alleles (*1, *2, *10, and *41) can be genotyped. The single nucleotides polymorphism (SNP) frequencies of 100C > T (rs1065852), 1039C > T (rs1081003), 1661G > C (rs1058164), 2663G > A (rs28371722), 2850C > T (rs16947), 2988G > A (rs28371725), 3181A > G, and 4180G > C (rs1135840) were 58%, 61%, 73%, 1%, 13%, 3%, 1%, 73%, respectively. We identified 100% of all heterozygotes without any errors. The two homozygous genotypes (1661G > C and 4180G > C) can be distinguished by mixing with a known genotype sample to generate an artificial heterozygote for HRM analysis. Therefore, all samples could be identified using our HRM method, and the results of HRM analysis are identical to those obtained by sequencing. Our method achieved 100% sensitivity, specificity, positive prediction value and negative prediction value. HRM analysis is a nongel resolution method that is faster and less expensive than direct sequencing. Our study shows that it is an efficient tool for typing CYP2D6 polymorphisms.

The effect of the Taq1A variant in the dopamine D2 receptor gene and common CYP2D6 alleles on prolactin levels in risperidone-treated boys

To investigate the effect of the Taq1A variant in the Dopamine D2 receptor gene (DRD2) and common functional genetic variants in the cytochrome P450 2D6 gene (CYP2D6) on prolactin levels in risperidone-treated boys with autism spectrum disorders and disruptive behavior disorders. Forty-seven physically healthy 10-year-old to 19-year-old boys with autism spectrum disorders and/or disruptive behavior disorders, chronically treated (mean 52 months, range 16-126 months) with an antipsychotic, were recruited into this observational study. Prolactin levels, hyperprolactinemia, risperidone levels, and 9-hydroxyrisperidone levels were assessed and the participants were genotyped for common CYP2D6 polymorphisms and the Taq1A allele of the dopamine D2 receptor gene. Group differences were tested using Student's t-test, χ², and logistic regression analysis. Prolactin levels were associated positively and significantly with risperidone levels (P=0.05), 9-hydroxyrisperidone levels (P≤0.0001), and with the oral risperidone dose in milligrams per kilogram (P≤0.0001). Furthermore, multiple regression analysis showed no correlations between prolactin level and the presence of at least one Taq1A A1 allele of the DRD2 gene (P=0.12). Although CYP2D6 might have an effect, the presence of at least one Taq1A A1 allele of the D2DR gene did not contribute toward susceptibility to risperidone-induced hyperprolactinemia, and as a result, toward prolactin-related adverse events such as amenorrhea, galactorrhea, and sexual dysfunctioning.

Pharmacogenetics in American Indian populations

Cytochrome P450 enzymes play a dominant role in drug elimination and variation in these genes is a major source of interindividual differences in drug response. Little is known, however, about pharmacogenetic variation in American Indian and Alaska Native (AI/AN) populations. We have developed a partnership with the Confederated Salish and Kootenai Tribes (CSKT) in northwestern Montana to address this knowledge gap. We resequenced CYP2D6 in 187 CSKT individuals and CYP3A4, CYP3A5, and CYP2C9 in 94 CSKT individuals. We identified 67 variants in CYP2D6, 15 in CYP3A4, 10 in CYP3A5, and 41 in CYP2C9. The most common CYP2D6 alleles were CYP2D6*4 and *41 (20.86 and 11.23%, respectively). CYP2D6*3, *5, *6, *9, *10, *17, *28, *33, *35, *49, *1xN, *2xN, and *4xN frequencies were less than 2%. CYP3A5*3, CYP3A4*1G, and *1B were detected with frequencies of 92.47, 26.81, and 2.20%, respectively. Allelic variation in CYP2C9 was low: CYP2C9*2 (5.17%) and *3 (2.69%). In general, allele frequencies in CYP2D6, CYP2C9, and CYP3A5 were similar to those observed in European Americans. There was, however, a marked divergence in CYP3A4 for the CYP3A4*1G allele. We also observed low levels of linkage between CYP3A4*1G and CYP3A5*1 in the CSKT. The combination of nonfunctional CYP3A5*3 and putative reduced function CYP3A4*1G alleles may predict diminished clearance of CYP3A substrates. These results highlight the importance of carrying out pharmacogenomic research in AI/AN populations and show that extrapolation from other populations is not appropriate. This information could help optimize drug therapy for the CSKT population.

CYP2D6 Metabolism and Patient Outcome in the Austrian Breast and Colorectal Cancer Study Group Trial (ABCSG) 8

Controversy exists about CYP2D6 genotype and tamoxifen efficacy. A matched case-control study was conducted using the Austrian Breast and Colorectal Cancer Study Group Trial 8 (ABCSG8) that randomized postmenopausal women with estrogen receptor (ER)-positive breast cancer to tamoxifen for 5 years (arm A) or tamoxifen for 2 years followed by anastrozole for 3 years (arm B). Cases had disease recurrence, contralateral breast cancer, second non-breast cancer, or died. For each case, controls were identified from the same treatment arm of similar age, surgery/radiation, and tumor-node-metastasis (TNM) stage. Genotyping was conducted for alleles associated with no (PM; *3, *4, *6), reduced (IM; *10, and *41), and extensive (EM: absence of these alleles) CYP2D6 metabolism. The common CYP2D6*4 allele was in Hardy-Weinberg equilibrium. In arm A during the first 5 years of therapy, women with two poor alleles [PM/PM: OR, 2.45; 95% confidence interval (CI), 1.05-5.73, P = 0.04] and women with one poor allele (PM/IM or PM/EM: OR, 1.67; 95% CI, 0.95-2.93; P = 0.07) had a higher likelihood of an event than women with two extensive alleles (EM/EM). In years 3 to 5 when patients remained on tamoxifen (arm A) or switched to anastrozole (arm B), PM/PM tended toward a higher likelihood of a disease event relative to EM/EM (OR, 2.40; 95% CI, 0.86-6.66; P = 0.09) among women on arm A but not among women on arm B (OR, 0.28; 95% CI, 0.03-2.30). In ABCSG8, the negative effects of reduced CYP2D6 metabolism were observed only during the period of tamoxifen administration and not after switching to anastrozole.