Application of pharmacogenetic/pharmacogenomic data to personalize treatment in routine clinical practice. A narrative review. / Aplicación de datos farmacogenéticos/farmacogenómicos para personalizar el tratamiento en la práctica clínica habitual. Revisión narrativa.

OBJECTIVE: The aim of this article is to perform a narrative review of how pharmacogenetics and pharmacogenomics is being applied in the clinic, especially in Spain. METHOD: Publications and websites of major interest have been reviewed. RESULTS: Pharmacogenes and variants used in several hospitals, available methodologies, and the implementation process are discussed.

[Translated article] Application of pharmacogenetic/pharmacogenomic data to personalise treatment in routine clinical practice. A narrative review.

OBJECTIVE: The aim of this article was to perform a narrative review of how pharmacogenetics and pharmacogenomics is being applied in the clinics, especially in Spain. METHOD: Publications and websites of major interest have been reviewed. RESULTS: Pharmacogenes and variants used in several hospitals, available methodologies, and the implementation process are discussed.

High-Intensity Focused Ultrasound Ablation Combined With Pharmacogenomic-Guided Chemotherapy for Advanced Pancreatic Cancer: Initial Experience.

OBJECTIVE: To investigate the safety and efficacy of high-intensity focused ultrasound (HIFU) ablation combined with pharmacogenomic-guided chemotherapy in treating patients with advanced pancreatic cancer (PC). METHODS: Thirty-one patients with unresectable PC (stage III 17, stage IV 14) were enrolled in this study. The patients were divided into group A (pharmacogenomic-guided chemotherapy following HIFU treatment, n = 13) and group B (traditional chemotherapy following HIFU treatment, n = 18). Contrast-enhanced computed tomography and magnetic resonance imaging were used to evaluate tumor response. Pain intensity was assessed using the numerical rating scale. The Kaplan-Meier method and log-rank test were used to analyze survival. RESULTS: The mean pain intensity score in 18 patients decreased from 6.6 ± 2.2 before HIFU to 3.3 ± 1.0 after HIFU (p = 0.000). The mean duration of pain relief was 5.2 ± 3.2 mo in group A and 2.4 ± 1.3 mo in group B (p = 0.026). There was no significant difference of the non-perfused volume ratio (83.5% ± 22.3% in group A and 85.3% ± 16.8% in group B) between the two groups. The median survival time was 14 mo in group A and 5 mo in group B. The 6 and 12-mo survival rates were 74.1% and 59.3% in group A, and 32.4% and 19.4% in group B, respectively. The difference in survival between the two groups was significant (p = 0.04). No severe complications (≥grade 3) related to HIFU were observed. Bone marrow depression was the main adverse reaction related to chemotherapy, with grade 3 bone marrow depression observed 2 (15.4%) patients in group A and 7 (38.9%) patients in group B. CONCLUSION: HIFU combined with pharmacogenomic-guided chemotherapy is safe and effective in treating patients with advanced PC. It provides better clinical outcomes in pain relief, quality of life and survival benefits for patients with advanced PC compared to HIFU combined with traditional chemotherapy. This combined approach may have the potential to become an important supplement to the treatment of advanced PC.

Attitudes, Knowledge, and Risk Perceptions of Patients who Received Elective Genomic Testing as a Clinical Service.

BACKGROUND: Elective genomic testing (EGT) is increasingly available clinically. Limited real world evidence exists about attitudes and knowledge of EGT recipients. METHODS: After web-based education, patients who enrolled in an EGT program at a rural nonprofit healthcare system completed a survey that assessed attitudes, knowledge, and risk perceptions. RESULTS: From August 2020 to April 2022, 5,920 patients completed the survey and received testing. Patients most frequently cited interest in learning their personal disease risks as their primary motivation. Patients most often expected results to guide medication management (74.0%), prevent future disease (70.4%), and provide information about risks to offspring (65.4%). Patients were "very concerned" most frequently about the privacy of genetic information (19.8%) and how well testing predicted disease risks (18.0%). On average, patients answered 6.7 of 11 knowledge items correctly (61.3%). They more often rated their risks for colon and breast cancers as lower rather than higher than the average person, but more often rated their risk for a heart attack as higher rather than lower than the average person (all p<0.001). CONCLUSION: Patients pursued EGT because of the utility expectations, but often misunderstood the test's capabilities.

Pharmacogenomic predictor of long-term residual chemotherapy-induced peripheral neuropathy in ovarian cancer survivors: A substudy of the GINECO Vivrovaire study.

BACKGROUND: Chemotherapy (CT) remains a backbone treatment of epithelial ovarian cancer (EOC) inducing persistent peripheral neuropathy (CIPN). Using a dedicated patient-reported outcome tool, this study investigated persistent CIPN and its pharmacogenetic predictors in a cohort of long-term EOC survivors. METHODS: Vivrovaire was a French multicenter cohort of patients with EOC free of disease 3 years after CT completion. Persistent CIPN was assessed using the FACT/GOG-Ntx4 self-questionnaire. The association of homozygous (hom) or heterozygous (het) single nucleotide polymorphisms (SNPs) in selected genes was evaluated. RESULTS: 130 patients were included with a median time from CT completion of 63 [35-180] months. The median CIPN score was 37 [18-44], with 35 (26.9%) patients reporting severe CIPN (<33). SNPs were identified as follows: CYP2C8 [hom, n = 32 (24.6%)/het, n = 99, (76.2%)]; CYP3A4 [hom, n = 0 (0%)/het, n = 8 (6.2%)], ERCC1 [hom, n = 21 (16.2%)/het, n = 57 (43.8%)], and XPC [hom, n = 45 (34.6%)/het, n = 66 (50.8%)]. In univariate analysis, the identification of ≥1 hom SNP was associated with a lower CIPN score (continuous variable; p = 0.045). Patients harboring hom or het CYP2C8_rs1934951 SNP reported more likely severe CIPN (threshold <33) score (OR 2.482; 95% CI [1.126-5.47], p = 0.024). In the multivariate analyses, age, interval from CT completion, type and number of CT courses were not significantly associated with CIPN score (OR 5.165, 95% CI [0.478-55.83], p = 0.176). CONCLUSIONS: Persistent CIPN is common among ovarian cancer long-term survivors. CYP2C8_rs1934951 SNP may be associated with severe residual CIPN in EOC survivors. More studies are warranted to identify predictive factors of CIPN.

SAP30, an oncogenic driver of progression, poor survival, and drug resistance in neuroblastoma.

Neuroblastoma is the most devastating extracranial solid malignancy in children. Despite an intense treatment regimen, the prognosis for high-risk neuroblastoma patients remains poor, with less than 40% survival. So far, MYCN amplification status is considered the most prognostic factor but corresponds to only ∼25% of neuroblastoma patients. Therefore, it is essential to identify a better prognosis and therapy response marker in neuroblastoma patients. We applied robust bioinformatic data mining tools, such as weighted gene co-expression network analysis, cisTarget, and single-cell regulatory network inference and clustering on two neuroblastoma patient datasets. We found Sin3A-associated protein 30 (SAP30), a driver transcription factor positively associated with high-risk, progression, stage 4, and poor survival in neuroblastoma patient cohorts. Tumors of high-risk neuroblastoma patients and relapse-specific patient-derived xenografts showed higher SAP30 levels. The advanced pharmacogenomic analysis and CRISPR-Cas9 screens indicated that SAP30 essentiality is associated with cisplatin resistance and further showed higher levels in cisplatin-resistant patient-derived xenograft tumor cell lines. Silencing of SAP30 induced cell death in vitro and led to a reduced tumor burden and size in vivo. Altogether, these results indicate that SAP30 is a better prognostic and cisplatin-resistance marker and thus a potential drug target in high-risk neuroblastoma.

Pharmacogenomics for Prader-Willi syndrome: caregiver interest and planned utilization.

Aim: The study aim was to determine caregiver interest and planned utilization of pharmacogenomic (PGx) results for their child with Prader-Willi syndrome. Methods: Caregivers consented to PGx testing for their child and completed a survey before receiving results. Results: Of all caregivers (n = 48), 93.8% were highly interested in their child's upcoming PGx results. Most (97.9%) planned to share results with their child's medical providers. However, only 47.9% of caregivers were confident providers would utilize the PGx results. Conclusion: Caregivers are interested in utilizing PGx but are uncertain providers will use these results in their child's care. More information about provider comfort with PGx utilization is needed to understand how PGx education would benefit providers and ultimately patients with PGx results.

Fetal and Infant Effects of Maternal Opioid Use during Pregnancy: A Literature Review including Clinical, Toxicological, Pharmacogenomic, and Epigenetic Aspects for Forensic Evaluation.

The two primary classes of opioid substances are morphine and its synthetic derivative, heroin. Opioids can cross the placental barrier, reaching fetal circulation. Therefore, at any gestational age, the fetus is highly exposed to pharmacologically active opioid metabolites and their associated adverse effects. This review aimed to investigate all the studies reported in a timeframe of forty years about prenatal and postnatal outcomes of opioid exposition during pregnancy. Clinical and toxicological aspects, as well as pharmacogenetic and epigenetic research focusing on fetal and infant effects of opioid use during pregnancy together with their medico-legal implications are exposed and discussed.

Empowering personalized pharmacogenomics with generative AI solutions.

OBJECTIVE: This study evaluates an AI assistant developed using OpenAI's GPT-4 for interpreting pharmacogenomic (PGx) testing results, aiming to improve decision-making and knowledge sharing in clinical genetics and to enhance patient care with equitable access. MATERIALS AND METHODS: The AI assistant employs retrieval-augmented generation (RAG), which combines retrieval and generative techniques, by harnessing a knowledge base (KB) that comprises data from the Clinical Pharmacogenetics Implementation Consortium (CPIC). It uses context-aware GPT-4 to generate tailored responses to user queries from this KB, further refined through prompt engineering and guardrails. RESULTS: Evaluated against a specialized PGx question catalog, the AI assistant showed high efficacy in addressing user queries. Compared with OpenAI's ChatGPT 3.5, it demonstrated better performance, especially in provider-specific queries requiring specialized data and citations. Key areas for improvement include enhancing accuracy, relevancy, and representative language in responses. DISCUSSION: The integration of context-aware GPT-4 with RAG significantly enhanced the AI assistant's utility. RAG's ability to incorporate domain-specific CPIC data, including recent literature, proved beneficial. Challenges persist, such as the need for specialized genetic/PGx models to improve accuracy and relevancy and addressing ethical, regulatory, and safety concerns. CONCLUSION: This study underscores generative AI's potential for transforming healthcare provider support and patient accessibility to complex pharmacogenomic information. While careful implementation of large language models like GPT-4 is necessary, it is clear that they can substantially improve understanding of pharmacogenomic data. With further development, these tools could augment healthcare expertise, provider productivity, and the delivery of equitable, patient-centered healthcare services.

Pharmacogenomics - a minor rather than major force in clinical medicine.

INTRODUCTION: Pharmacogenomics (PGx) is touted as essential for the future of precision medicine. But the opportunity cost of PGx from the prescribers' perspective is rarely considered. The aim of this article is to critique PGx-guided prescribing using clinical pharmacology principles so that important cases for PGx testing are not missed by doctors responsible for therapeutic decision making. AREAS COVERED: Three categories of PGx and their limitations are outlined - exposure PGx, response PGx, and immune-mediated safety PGx. Clinical pharmacology reasons are given for the narrow scope of PGx-guided prescribing apart from a few medical specialties. Clinical problems for doctors that may arise from PGx are then explained, including mismatch between patients' expectations of PGx testing and the benefits or answers it provides. EXPERT OPINION: Contrary to popular opinion, PGx is unlikely to become the cornerstone of precision medicine. Sound clinical pharmacology reasons explain why PGx-guided prescribing is unnecessary for most drugs. Pharmacogenomics is important for niche areas of prescribing but has limited clinical utility more broadly. The opportunity cost of PGx-guided prescribing is currently too great for most doctors.

The landscape of very important pharmacogenes variants and potential clinical relevance in the Chinese Jingpo population: a comparative study with worldwide populations.

BACKGROUND: Pharmacogenomics is a facet of personalized medicine that explores how genetic variants affect drug metabolism and adverse drug reactions. Therefore, this study aims to detect distinct pharmacogenomic variations among the Jingpo population and explore their clinical correlation with drug metabolism and toxicity. METHODS: Agena MassARRAY Assay was used to genotype 57 VIP variants in 28 genes from 159 unrelated Jingpo participants. Subsequently, the chi-squared test and Bonferroni's statistical tests were utilized to conduct a comparative analysis of genotypes and allele frequencies between the Jingpo population and the other 26 populations from the 1000 Genome Project. RESULTS: We discovered that the KHV (Kinh in Ho ChiMinh City, Vietnam), CHS (Southern Han Chi-nese, China) and JPT (Japanese in Tokyo, Japan) exhibited the smallest differences from the Jingpo with only 4 variants, while ESN (Esan in Nigeria) exhibited the largest differences with 30 variants. Besides, a total of six considerably different loci (rs4291 in ACE, rs20417 in PTGS2, rs1801280 and rs1799929 in NAT2, rs2115819 in ALOX5, rs1065852 in CYP2D6, p < 3.37 × 10-5) were identified in this study. According to PharmGKB, rs20417 (PTGS2), rs4291 (ACE), rs2115819 (ALOX5) and rs1065852 (CYP2D6) were found to be associated with the metabolism efficiency of non-steroidal anti-inflammatory drugs (NSAIDs), aspirin, montelukast and tamoxifen, respectively. Meanwhile, rs1801280 and rs1799929 (NAT2) were found to be related to drug poisoning with slow acetylation. CONCLUSION: Our study unveils distinct pharmacogenomic variants in the Jingpo population and discovers their association with the metabolic efficiency of NSAIDs, montelukast, and tamoxifen.

Integrated characterization of hepatobiliary tumor organoids provides a potential landscape of pharmacogenomic interactions.

Despite considerable efforts to identify human liver cancer genomic alterations that might unveil druggable targets, the systematic translation of multiomics data remains challenging. Here, we report success in long-term culture of 64 patient-derived hepatobiliary tumor organoids (PDHOs) from a Chinese population. A divergent response to 265 metabolism- and epigenetics-related chemicals and 36 anti-cancer drugs is observed. Integration of the whole genome, transcriptome, chromatin accessibility profiles, and drug sensitivity results of 64 clinically relevant drugs defines over 32,000 genome-drug interactions. RUNX1 promoter mutation is associated with an increase in chromatin accessibility and a concomitant gene expression increase, promoting a cluster of drugs preferentially sensitive in hepatobiliary tumors. These results not only provide an annotated PDHO biobank of human liver cancer but also suggest a systematic approach for obtaining a comprehensive understanding of the gene-regulatory network of liver cancer, advancing the applications of potential personalized medicine.

Star allele search: a pharmacogenetic annotation database and user-friendly search tool of publicly available 1000 Genomes Project biospecimens.

Here we describe a new public pharmacogenetic (PGx) annotation database of a large (n = 3,202) and diverse biospecimen collection of 1000 Genomes Project cell lines and DNAs. The database is searchable with a user friendly, web-based tool ( www.coriell.org/StarAllele/Search ). This resource leverages existing whole genome sequencing data and PharmVar annotations to characterize *alleles for each biospecimen in the collection. This new tool is designed to facilitate in vitro functional characterization of *allele haplotypes and diplotypes as well as support clinical PGx assay development, validation, and implementation.

Efficacy and adverse reactions of donepezil:a pharmacogenomic study / 中华老年心脑血管病杂志

Objective To analyze the efficacy and adverse reactions of donepezil in the treatment of patients with a continuous disease spectrum of Alzheimer's disease(AD)with pharmacogenomics.Methods Seventy-two patients who took donepezil therapy at the time of initial molecular pa-thology diagnosis of AD continuous disease spectrum in Chinese PLA General Hospital from Jan-uary 2022 to January 2023 were recruited.Cells from the oral buccal mucosa were collected,and MassARRAY nucleic acid mass spectrometry was applied to detect the genotypes of CYP2D6,the gene encoding cytochrome P450 2D6 enzyme,and CHAT,the gene encoding acetylcholine trans-ferase.After 9 months of follow-up,drug efficacy was indirectly determined by neurological func-tion scales,caregiver evaluations,and drug prescribing behaviors,and thus,the 50 patients on donepezil alone were divide into effective group(n=28)and ineffective group(n=22).Seventy-two patients were divided into adverse reaction group(n=12)and no adverse reaction group(n=60).Multivariate logistic regression analysis was used to analyze the correlation between donepezil efficacy and pharmacogenomics.Results The frequencies of CHAT rs3793790 locus carrying G allele and rs2177370 locus carrying A allele were significantly higher in the effective group than the ineffective group(35.71％vs 9.09％,P=0.029;42.86％vs 9.09％,P=0.008).Multivariate lo-gistic regression analysis showed that donepezil was more effective in those who carrying rs3793790 G allele and/or rs2177370 A allele in the CHAT gene than those who carrying neither of the alleles(95％CI:1.20-34.47,P=0.030).There were no statistical differences in the CYP2D6 gene-adjusted activity score and whether or not carrying*10 between the patients with and without adverse reactions(P＞0.0 5).Conclusion In patients with a continuous spectrum of AD,donepezil efficacy is associated with CHAT gene polymorphisms,but there is no correlation between donepezil adverse reactions and CYP2D6 genotype.

Custo-utilidade da utilização de teste farmacogenético como guia para o tratamento de depressão sob a perspectiva do Sistema de Saúde Suplementar / Cost-utility of pharmacogenetic testing as a guide for the treatment of depression from the Brazilian Supplementary Health System perspective

Objetivo: Desenvolver uma análise de custo-utilidade da implementação do teste farmacogenético como uma ferramenta adicional para orientar a escolha do melhor tratamento medicamentoso para indivíduos com depressão. Métodos: Para a realização desta análise, criou-se um modelo analítico de decisão baseado em um modelo de Markov. A avaliação foi realizada sob a perspectiva do Sistema de Saúde Suplementar brasileiro, com horizonte temporal de 10 anos, incluindo custos médicos diretos e custos da tecnologia utilizada, além de ter como comparador o tratamento empírico tradicional para a depressão. As probabilidades de transição foram obtidas por meio de análise da literatura disponível. Também foram realizadas análises de sensibilidade probabilística e univariada. Adicionalmente, foi realizada uma avaliação sob a perspectiva da sociedade, incluindo os custos de tratamento medicamentoso realizados pelos pacientes. Resultados: De acordo com a análise realizada, o emprego do teste farmacogenético como guia do tratamento para depressão mostrou-se favorável, proporcionando economia de -R$ 3.439,97 por paciente e aumento de 0,39 QALY ao longo do horizonte temporal. Assim, evidencia-se uma economia significativa a favor do teste farmacogenético, correspondendo a -R$ 8.776,78 por QALY salvo. Além disso, a robustez do modelo foi comprovada por meio das análises de sensibilidade. No cenário sob perspectiva da sociedade, o resultado foi ainda mais favorável, proporcionando economia de -R$ 9.381,49 por paciente e aumento de 0,39 QALY, correspondendo a -R$ 23.936,05 por QALY salvo. Conclusão: Os resultados encontrados neste estudo demonstraram que o uso de testes farmacogenéticos no tratamento da depressão é economicamente vantajoso, com aumento no valor de QALY e redução nos custos médicos diretos, em comparação ao tratamento empírico tradicional. Essa descoberta alinha-se à tendência atual de personalização no cuidado da saúde mental, sugerindo implicações práticas na reavaliação de protocolos, com potencial incorporação dos testes farmacogenéticos como padrão de cuidado.

Objective: To evaluate the cost-utility of pharmacogenetic testing incorporation as an additional tool in guiding the selection of optimal drug treatments for individuals with depression. Methods: A decision analytical model was created based on the Markov model for this analysis. The evaluation was conducted from the perspective of the Brazilian Supplementary Health System, with a time horizon of 10 years. The study included direct medical and technology costs and a comparison with traditional empirical treatment for depression was performed. Transition probabilities were derived from an analysis of available literature. Probabilistic and univariate sensitivity analyses were also carried out. Additionally, an evaluation was conducted from the perspective of Society, including the costs of drug treatment carried out by patients. Results: The application of pharmacogenetic testing as a guide for depression treatment demonstrated favorable outcomes, yielding savings of -R$ 3,439.97 per patient and an increase of 0.39 QALY over the specified time frame. Thus, significant savings were evident, corresponding to -R$ 8,776.78 per QALY saved. The sensitivity analyses confirmed the model's robustness. In the Society's perspective scenario, the outcome was even more favorable, resulting in savings of -R$ 9,381.49 per patient and a 0.39 increase in QALYs, equivalent to -R$ 23,936.05 per QALY saved. Conclusion: The study findings reveal that incorporating harmacogenetic tests in depression treatment offers economic benefits, evidenced by an increase in QALY value and a decrease in direct medical costs compared to conventional empirical treatment. This aligns with the ongoing trend towards personalized mental health care, implying practical considerations for protocol reassessment and the possible integration of pharmacogenetic tests as a standard of care.

Patient-Level Exposure to Actionable Pharmacogenomic Medications in a Nationally Representative Insurance Claims Database.

BACKGROUND: The prevalence of exposure to pharmacogenomic medications is well established but little is known about how long patients are exposed to these medications. AIM: Our objective was to describe the amount of exposure to actionable pharmacogenomic medications using patient-level measures among a large nationally representative population using an insurance claims database. METHODS: Our retrospective cohort study included adults (18+ years) from the IQVIA PharMetrics® Plus for Academics claims database with incident fills of 72 Clinical Pharmacogenetics Implementation Consortium level A, A/B, or B medications from January 2012 through September 2018. Patient-level outcomes included the proportion of days covered (PDC), number of fills, and average days supplied per fill over a 12-month period. RESULTS: Over 1 million fills of pharmacogenetic medications were identified for 605,355 unique patients. The mean PDC for all medications was 0.21 (SD 0.3), suggesting patients were exposed 21% (77 days) of the year. Medications with the highest PDC (0.55-0.89) included ivacaftor, tamoxifen, clopidogrel, HIV medications, transplant medications, and statins; with the exception of statins, these medications were initiated by fewer patients. Pharmacogenomic medications were filled an average of 2.8 times (SD 3.0, range 1-81) during the year following the medication's initiation, and the average days supplied for each fill was 22.3 days (SD 22.4, range 1-180 days). CONCLUSION: Patient characteristics associated with more medication exposure were male sex, older age, and comorbid chronic conditions. Prescription fill data provide patient-level exposure metrics that can further our understanding of pharmacogenomic medication utilization and help inform opportunities for pharmacogenomic testing.

An EMR-Based Approach to Determine Frequency, Prescribing Pattern, and Characteristics of Patients Receiving Drugs with Pharmacogenomic Guidelines.

(1) Background: This retrospective analysis utilizing electronic medical record (EMR) data from a tertiary integrated health system sought to identify patients and prescribers who would benefit from pharmacogenomic (PGx) testing based on Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. (2) Methods: EMR data from a clinical research data warehouse were analyzed from 845,518 patients that had an encounter between 2015 and 2019 at an academic medical center. Data were collected for 42 commercially available drugs with 52 evidence-based PGx guidelines from CPIC. Provider data were obtained through the EMR linked by specialty via national provider identification (NPI) number. (3) Results: A total of 845,518 patients had an encounter in the extraction period with 590,526 medication orders processed. A total of 335,849 (56.9%) patients had medication orders represented by CPIC drugs prescribed by 2803 providers, representing 239 distinct medications. (4) Conclusions: The results from this study show that over half of patients were prescribed a CPIC actionable medication from a variety of prescriber specialties. Understanding the magnitude of patients that may benefit from PGx testing, will enable the development of preemptive testing processes, physician support strategies, and pharmacist workflows to optimize outcomes should a PGx service be implemented.

Distribution of pharmacogene allele and phenotype frequencies in Brazilian psychiatric patients.

Purpose: This work was designed to identify the pharmacogenetic profile of Brazilian psychiatric patients receiving psychoactive drug treatment according to ethnicity. Methods: Based on the GnTech® database, this cross-sectional study analyzed data from self-reported sociodemographic and genetic results from the next-generation sequencing panel composed of 26 pharmacogenes from 359 psychotropic drug users. Results: Variant frequencies of multiple pharmacogenes presented differences between ethnicities (CYP3A5, CYP2D6, CYP1A2, CYP2B6, CYP3A4, UGT1A4, UGT2B15, ABCB1 rs1045642, ADRA2A rs1800544, COMT rs4680, GRIK4 rs1954787, GSK3B rs334558, GSK3B rs6438552, HTR1A rs6295, HTR2A rs7997012, HTR2C rs1414334, MTHFR rs1801131, OPRM1 rs1799971 and 5-HTTLPR), endorsing the necessity of individual-level analyses in drug treatment. Conclusion: A discussion of pharmacogenomic test implementation in psychiatric clinical practice is needed to improve treatment choices, especially in Brazil, a multiethnic country.