30 resultados para CYP2C9


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Pharmacogenetics deals with genetically determined variation in drug response. In this context, three phase I drug-metabolizing enzymes, CYP2D6, CYP2C9, and CYP2C19, have a central role, affecting the metabolism of about 20-30% of clinically used drugs. Since genes coding for these enzymes in human populations exhibit high genetic polymorphism, they are of major pharmacogenetic importance. The aims of this study were to develop new genotyping methods for CYP2D6, CYP2C9, and CYP2C19 that would cover the most important genetic variants altering the enzyme activity, and, for the first time, to describe the distribution of genetic variation at these loci on global and microgeographic scales. In addition, pharmacogenetics was applied to a postmortem forensic setting to elucidate the role of genetic variation in drug intoxications, focusing mainly on cases related to tricyclic antidepressants, which are commonly involved in fatal drug poisonings in Finland. Genetic variability data were obtained by genotyping new population samples by the methods developed based on PCR and multiplex single-nucleotide primer extension reaction, as well as by collecting data from the literature. Data consisted of 138, 129, and 146 population samples for CYP2D6, CYP2C9, and CYP2C19, respectively. In addition, over 200 postmortem forensic cases were examined with respect to drug and metabolite concentrations and genotypic variation at CYP2D6 and CYP2C19. The distribution of genetic variation within and among human populations was analyzed by descriptive statistics and variance analysis and by correlating the genetic and geographic distances using Mantel tests and spatial autocorrelation. The correlation between phenotypic and genotypic variation in drug metabolism observed in postmortem cases was also analyzed statistically. The genotyping methods developed proved to be informative, technically feasible, and cost-effective. Detailed molecular analysis of CYP2D6 genetic variation in a global survey of human populations revealed that the pattern of variation was similar to those of neutral genomic markers. Most of the CYP2D6 diversity was observed within populations, and the spatial pattern of variation was best described as clinal. On the other hand, genetic variants of CYP2D6, CYP2C9, and CYP2C19 associated with altered enzymatic activity could reach extremely high frequencies in certain geographic regions. Pharmacogenetic variation may also be significantly affected by population-specific demographic histories, as seen within the Finnish population. When pharmacogenetics was applied to a postmortem forensic setting, a correlation between amitriptyline metabolic ratios and genetic variation at CYP2D6 and CYP2C19 was observed in the sample material, even in the presence of confounding factors typical for these cases. In addition, a case of doxepin-related fatal poisoning was shown to be associated with a genetic defect at CYP2D6. Each of the genes studied showed a distinct variation pattern in human populations and high frequencies of altered activity variants, which may reflect the neutral evolution and/or selective pressures caused by dietary or environmental exposure. The results are relevant also from the clinical point of view since the genetic variation at CYP2D6, CYP2C9, and CYP2C19 already has a range of clinical applications, e.g. in cancer treatment and oral anticoagulation therapy. This study revealed that pharmacogenetics may also contribute valuable information to the medicolegal investigation of sudden, unexpected deaths.

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Thesis (Master's)--University of Washington, 2014

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La warfarina es el anticoagulante oral más usado en todo el mundo, es formulado para el tratamiento y prevención de las enfermedades trombóticas. Tiene un índice terapéutico estrecho y amplia variabilidad entre pacientes haciendo difícil su dosificación, por lo cual es necesario determinar la frecuencia de los polimorfismos en los genes involucrados en el metabolismo de este medicamento.

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Background: Warfarin-dosing pharmacogenetic algorithms have presented different performances across ethnicities, and the impact in admixed populations is not fully known. Aims: To evaluate the CYP2C9 and VKORC1 polymorphisms and warfarin-predicted metabolic phenotypes according to both self-declared ethnicity and genetic ancestry in a Brazilian general population plus Amerindian groups. Methods: Two hundred twenty-two Amerindians (Tupinikin and Guarani) were enrolled and 1038 individuals from the Brazilian general population who were self-declared as White, Intermediate (Brown, Pardo in Portuguese), or Black. Samples of 274 Brazilian subjects from Sao Paulo were analyzed for genetic ancestry using an Affymetrix 6.0 (R) genotyping platform. The CYP2C9*2 (rs1799853), CYP2C9*3 (rs1057910), and VKORC1 g.-1639G>A (rs9923231) polymorphisms were genotyped in all studied individuals. Results: The allelic frequency for the VKORC1 polymorphism was differently distributed according to self-declared ethnicity: White (50.5%), Intermediate (46.0%), Black (39.3%), Tupinikin (40.1%), and Guarani (37.3%) (p < 0.001), respectively. The frequency of intermediate plus poor metabolizers (IM + PM) was higher in White (28.3%) than in Intermediate (22.7%), Black (20.5%), Tupinikin (12.9%), and Guarani (5.3%), (p < 0.001). For the samples with determined ancestry, subjects carrying the GG genotype for the VKORC1 had higher African ancestry and lower European ancestry (0.14 +/- 0.02 and 0.62 +/- 0.02) than in subjects carrying AA (0.05 +/- 0.01 and 0.73 +/- 0.03) (p = 0.009 and 0.03, respectively). Subjects classified as IM + PM had lower African ancestry (0.08 +/- 0.01) than extensive metabolizers (0.12 +/- 0.01) (p = 0.02). Conclusions: The CYP2C9 and VKORC1 polymorphisms are differently distributed according to self-declared ethnicity or genetic ancestry in the Brazilian general population plus Amerindians. This information is an initial step toward clinical pharmacogenetic implementation, and it could be very useful in strategic planning aiming at an individual therapeutic approach and an adverse drug effect profile prediction in an admixed population.

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BACKGROUND Despite substantial evidence supporting a pharmacogenetic approach to warfarin therapy in adults, evidence on the importance of genetics in warfarin therapy in children is limited, particularly for clinical outcomes. We assessed the contribution of CYP2C9/VKORC1/CYP4F2 genotypes and variation in other genes involved in vitamin K and coagulation pathways to warfarin dose and related clinical outcomes in children. PROCEDURE Clinical and genetic data for 93 children (age ≤ 18 years) who received warfarin therapy were obtained. DNA was genotyped for 93 selected single nucleotide polymorphisms using a custom assay. RESULTS With a median age of 4.8 years, our cohort included more young children than most previous studies. Overall, 76.3% of dose variability was explained by weight, indication, VKORC1-1639G/A and CYP2C9 *2/*3, with genotypes accounting for 21.1% of variability. There was a strong correlation (R(2) = 0.68; P < 0.001) between actual and predicted warfarin dose using a pediatric genotype-based dosing model. VKORC1 genotype had a significant impact on time to therapeutic international normalized ratio (INR) (P = 0.047) and time to over-anticoagulation (INR > 4; P = 0.024) during the initiation of therapy. CYP2C9*3 carriers were also at increased risk of major bleeding while receiving warfarin (adjusted OR = 11.28). An additional variant in CYP2C9 (rs7089580) was significantly associated with warfarin dose (P = 0.020) in a multivariate clinical and genetic model. CONCLUSIONS This study confirms the importance of VKORC1/CYP2C9 genotypes for warfarin dosing in a young pediatric cohort and demonstrates an impact of genetic factors on clinical outcomes in children. Furthermore, we identified an additional variant in CYP2C9 of potential relevance for warfarin dosing in children.

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OBJECTIVE To systematically review evidence on genetic variants influencing outcomes during warfarin therapy and provide practice recommendations addressing the key questions: (1) Should genetic testing be performed in patients with an indication for warfarin therapy to improve achievement of stable anticoagulation and reduce adverse effects? (2) Are there subgroups of patients who may benefit more from genetic testing compared with others? (3) How should patients with an indication for warfarin therapy be managed based on their genetic test results? METHODS A systematic literature search was performed for VKORC1 and CYP2C9 and their association with warfarin therapy. Evidence was critically appraised, and clinical practice recommendations were developed based on expert group consensus. RESULTS Testing of VKORC1 (-1639G>A), CYP2C9*2, and CYP2C9*3 should be considered for all patients, including pediatric patients, within the first 2 weeks of therapy or after a bleeding event. Testing for CYP2C9*5, *6, *8, or *11 and CYP4F2 (V433M) is currently not recommended. Testing should also be considered for all patients who are at increased risk of bleeding complications, who consistently show out-of-range international normalized ratios, or suffer adverse events while receiving warfarin. Genotyping results should be interpreted using a pharmacogenetic dosing algorithm to estimate the required dose. SIGNIFICANCE This review provides the latest update on genetic markers for warfarin therapy, clinical practice recommendations as a basis for informed decision making regarding the use of genotype-guided dosing in patients with an indication for warfarin therapy, and identifies knowledge gaps to guide future research.

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CYP2C9 is distinguished by a preference for substrates bearing a negative charge at physiological pH. Previous studies have suggested that CYP2C9 residues R97 and K72 may play roles in determining preference for anionic substrates by interaction at the active site or in the access channel. The aim of the present study was to assess the role of these two residues in determining substrate selectivity. R97 and K72 were substituted with negative, uncharged polar and hydrophobic residues using a degenerate polymerase chain reaction-directed strategy. Wild-type and mutant enzymes were expressed in bicistronic format with human cytochrome P450 reductase in Escherichia coli. Mutation of R97 led to a loss of holoenzyme expression for R97A, R97V, R97L, R97T, and R97E mutants. Low levels of hemoprotein were detected for R97Q, R97K, R97I, and R97P mutants. Significant apoenzyme was observed, suggesting that heme insertion or protein stability was compromised in R97 mutants. These observations are consistent with a structural role for R97 in addition to any role in substrate binding. By contrast, all K72 mutants examined (K72E, K72Q, K72V, and K72L) could be expressed as hemoprotein at levels comparable to wild-type. Type I binding spectra were obtained with wildtype and K72 mutants using diclofenac and ibuprofen. Mutation of K72 had little or no effect on the interaction with these substrates, arguing against a critical role in determining substrate specificity. Thus, neither residue appears to play a role in determining substrate specificity, but a structural role for R97 can be proposed consistent with recently published crystallographic data for CYP2C9 and CYP2C5.

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The term "pharmacogenetics" has been defined as the scientific study of inherited factors that affect the human drug response. Many pharmacogenetie studies have been published since 1995 and have focussed on the principal enzyme family involved in drug metabolism, the cytochrome P450 family, particularly cytochrome P4502C9 and 2C19. In order to investigate the pharmacogenetic aspect of pharmacotherapy, the relevant studies describing the association of pharmacogenetic factor(s) in drug responses must be retrieved from existing literature using a systematic review approach. In addition, the estimation of variant allele prevalence for the gene under study between different ethnic populations is important for pharmacogenetic studies. In this thesis, the prevalence of CYP2C9/2C19 alleles between different ethnicities has been estimated through meta-analysis and the population genetic principle. The clinical outcome of CYP2C9/2C19 allelic variation on the pharmacotherapy of epilepsy has been investigated; although many new antiepileptic drugs have been launched into the market, carbamazepine, phenobarbital and phenytoin are still the major agents in the pharmacotherapy of epilepsy. Therefore, phenytoin was chosen as a model AED and the effect of CYP2C9/2C19 genetic polymorphism on phenytoin metabolism was further examined.An estimation of the allele prevalence was undertaken for three CYP2C9/2C19 alleles respectively using a meta-analysis of studies that fit the Hardy-Weinberg equilibrium. The prevalence of CYP2C9*1 is approximately 81%, 96%, 97% and 94% in Caucasian, Chinese, Japanese, African populations respectively; the pooled prevalence of CYP2C19*1 is about 86%, 57%, 58% and 85% in these ethnic populations respectively. However, the studies of association between CYP2C9/2C19 polymorphism and phenytoin metabolism failed to achieve any qualitative or quantitative conclusion. Therefore, mephenytoin metabolism was examined as a probe drug for association between CYP2C19 polymorphism and mephenytoin metabolic ratio. Similarly, analysis of association between CYP2C9 polymorphism and warfarin dose requirement was undertaken.It was confirmed that subjects carrying two mutated CYP2C19 alleles have higher S/R mephenytoin ratio due to deficient CYP2C19 enzyme activity. The studies of warfarin and CYP2C9 polymorphism did not provide a conclusive result due to poor comparability between studies.The genetic polymorphism of drug metabolism enzymes has been studied extensively, however other genetic factors, such as multiple drug resistance genes (MDR) and genes encoding ion channels, which may contribute to variability in function of drug transporters and targets, require more attention in future pharmacogenetic studies of antiepileptic drugs.

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Pioglitazone is a thiazolidinedione compound used in the treatment of type 2 diabetes. It has been reported to be metabolised by multiple cytochrome P450 (CYP) enzymes, including CYP2C8, CYP2C9 and CYP3A4 in vitro. The aims of this work were to identify the CYP enzymes mainly responsible for the elimination of pioglitazone in order to evaluate its potential for in vivo drug interactions, and to investigate the effects of CYP2C8- and CYP3A4-inhibiting drugs (gemfibrozil, montelukast, zafirlukast and itraconazole) on the pharmacokinetics of pioglitazone in healthy volunteers. In addition, the effect of induction of CYP enzymes on the pharmacokinetics of pioglitazone in healthy volunteers was investigated, with rifampicin as a model inducer. Finally, the effect of pioglitazone on CYP2C8 and CYP3A enzyme activity was examined in healthy volunteers using repaglinide as a model substrate. Study I was conducted in vitro using pooled human liver microsomes (HLM) and human recombinant CYP isoforms. Studies II to V were randomised, placebo-controlled cross-over studies with 2-4 phases each. A total of 10-12 healthy volunteers participated in each study. Pretreatment with clinically relevant doses with the inhibitor or inducer was followed by a single dose of pioglitazone or repaglinide, whereafter blood and urine samples were collected for the determination of drug concentrations. In vitro, the elimination of pioglitazone (1 µM) by HLM was markedly inhibited, in particular by CYP2C8 inhibitors, but also by CYP3A4 inhibitors. Of the recombinant CYP isoforms, CYP2C8 metabolised pioglitazone markedly, and CYP3A4 also had a significant effect. All of the tested CYP2C8 inhibitors (montelukast, zafirlukast, trimethoprim and gemfibrozil) concentration-dependently inhibited pioglitazone metabolism in HLM. In humans, gemfibrozil raised the area under the plasma concentration-time curve (AUC) of pioglitazone 3.2-fold (P < 0.001) and prolonged its elimination half-life (t½) from 8.3 to 22.7 hours (P < 0.001), but had no significant effect on its peak concentration (Cmax) compared with placebo. Gemfibrozil also increased the excretion of pioglitazone into urine and reduced the ratios of the active metabolites M-IV and M-III to pioglitazone in plasma and urine. Itraconazole had no significant effect on the pharmacokinetics of pioglitazone and did not alter the effect of gemfibrozil on pioglitazone pharmacokinetics. Rifampicin decreased the AUC of pioglitazone by 54% (P < 0.001) and shortened its dominant t½ from 4.9 to 2.3 hours (P < 0.001). No significant effect on Cmax was observed. Rifampicin also decreased the AUC of the metabolites M-IV and M-III, shortened their t½ and increased the ratios of the metabolite to pioglitazone in plasma and urine. Montelukast and zafirlukast did not affect the pharmacokinetics of pioglitazone. The pharmacokinetics of repaglinide remained unaffected by pioglitazone. These studies demonstrate the principal role of CYP2C8 in the metabolism of pioglitazone in humans. Gemfibrozil, an inhibitor of CYP2C8, increases and rifampicin, an inducer of CYP2C8 and other CYP enzymes, decreases the plasma concentrations of pioglitazone, which can necessitate blood glucose monitoring and adjustment of pioglitazone dosage. Montelukast and zafirlukast had no effects on the pharmacokinetics of pioglitazone, indicating that their inhibitory effect on CYP2C8 is negligible in vivo. Pioglitazone did not increase the plasma concentrations of repaglinide, indicating that its inhibitory effect on CYP2C8 and CYP3A4 is very weak in vivo.

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Os autores descrevem um caso clínico de hipersensibilidade à varfarina traduzido por uma elevação acentuada do INR, aquando da introdução do fármaco em doente com antecedentes tromboembólicos. Da pesquisa de polimorfismos para os genes VKORC1 e CYP2C9, utilizando técnicas de amplificação por PCR e hibridização reversa, apurou-se heterozigotia para -1639G>A (gene VKORC1) e homozigotia para 1075A>C (genótipo CYP2C9*3/*3). Os autores fazem uma revisão da farmacodinâmica da varfarina e da sua acção sobre a vitamina K, sugerindo-se indicações para a investigação de algumas variações genéticas, no sentido de obviar potenciais complicações associadas ao fármaco.

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The pharmacogenetics of antimalarial agents are poorly known, although the application of pharmacogenetics might be critical in optimizing treatment. This population pharmacokinetic-pharmacogenetic study aimed at assessing the effects of single nucleotide polymorphisms (SNPs) in cytochrome P450 isoenzyme genes (CYP, namely, CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, and CYP3A5) and the N-acetyltransferase 2 gene (NAT2) on the pharmacokinetics of artemisinin-based combination therapies in 150 Tanzanian patients treated with artemether-lumefantrine, 64 Cambodian patients treated with artesunate-mefloquine, and 61 Cambodian patients treated with dihydroartemisinin-piperaquine. The frequency of SNPs varied with the enzyme and the population. Higher frequencies of mutant alleles were found in Cambodians than Tanzanians for CYP2C9*3, CYP2D6*10 (100C → T), CYP3A5*3, NAT2*6, and NAT2*7. In contrast, higher frequencies of mutant alleles were found in Tanzanians for CYP2D6*17 (1023C → T and 2850C → T), CYP3A4*1B, NAT2*5, and NAT2*14. For 8 SNPs, no significant differences in frequencies were observed. In the genetic-based population pharmacokinetic analyses, none of the SNPs improved model fit. This suggests that pharmacogenetic data need not be included in appropriate first-line treatments with the current artemisinin derivatives and quinolines for uncomplicated malaria in specific populations. However, it cannot be ruled out that our results represent isolated findings, and therefore more studies in different populations, ideally with the same artemisinin-based combination therapies, are needed to evaluate the influence of pharmacogenetic factors on the clearance of antimalarials.

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Contexte: Bien que plusieurs algorithmes pharmacogénétiques de prédiction de doses de warfarine aient été publiés, peu d’études ont comparé la validité de ces algorithmes en pratique clinique réelle. Objectif: Évaluer trois algorithmes pharmacogénomiques dans une population de patients qui initient un traitement à la warfarine et qui souffrent de fibrillation auriculaire ou de problèmes de valves cardiaques. Analyser la performance des algorithmes de Gage et al., de Michaud et al. ainsi que de l’IWPC quant à la prédiction de la dose de warfarine permettant d’atteindre l’INR thérapeutique. Méthodes: Un devis de cohorte rétrospectif fut utilisé afin d’évaluer la validité des algorithmes chez 605 patients ayant débuté une thérapie de warfarine à l’Institut de Cardiologie de Montréal. Le coefficient de corrélation de Pearson ainsi que l’erreur absolue moyenne ont été utilisés pour évaluer la précision des algorithmes. L’exactitude clinique des prédictions de doses fut évaluée en calculant le nombre de patients pour qui la dose prédite était sous-estimée, idéalement estimée ou surestimée. Enfin, la régression linéaire multiple a été utilisée pour évaluer la validité d’un modèle de prédiction de doses de warfarine obtenu en ajoutant de nouvelles covariables. Résultats : L’algorithme de Gage a obtenu la proportion de variation expliquée la plus élevée (R2 ajusté = 44 %) ainsi que la plus faible erreur absolue moyenne (MAE = 1.41 ± 0.06). De plus, la comparaison des proportions de patients ayant une dose prédite à moins de 20 % de la dose observée a confirmé que l’algorithme de Gage était également le plus performant. Conclusion : Le modèle publié par Gage en 2008 est l’algorithme pharmacogénétique le plus exact dans notre population pour prédire des doses thérapeutiques de warfarine.

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La warfarine est un médicament anticoagulant possédant un faible index thérapeutique et une grande variabilité intra et interindividuelle dans la réponse au traitement. Les facteurs déterminants de la réponse à la warfarine ne sont pas tous connus et la présente étude vise à tester l'hypothèse que la pratique régulière d’activité physique puisse y être associée. Nous avons évalué si l’activité physique, mesurée à l’aide de 2 questionnaires différents, était associée à la dose de warfarine et au pourcentage de temps passé à l'intérieur de l'intervalle thérapeutique ciblé (time in therapeutic range : TTR). L’étude a été menée chez les 1064 participants de la Cohorte warfarine de l’Institut de Cardiologie de Montréal (ICM) et chez 618 utilisateurs de warfarine issus de la Biobanque de l’ICM. Nous avons trouvé que, dans les deux cohortes, les patients actifs nécessitaient une dose hebdomadaire moyenne plus élevée que les patients inactifs. L’association perdurait lorsque le modèle statistique était ajusté pour différentes variables connues pour influencer la réponse à la warfarine, telles que le génotype aux gènes CYP2C9 et VKORC1, l’âge, la taille, le poids, et l’INR ciblé. L’INR ciblé est décidé par le médecin et il correspond généralement à 2,0 – 3,0 ou 2,5 – 3,5. Les patients de la Cohorte warfarine avaient aussi plus de chances d’avoir un TTR inférieur à 60%, donc d’être moins stables. La pratique régulière d’activité physique est donc un facteur déterminant de la dose thérapeutique de warfarine et la pratique d'activité physique intensive est associée à un TTR plus faible.

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Introduction : Bien que la pratique de l’usage de la warfarine se soit améliorée au cours de la dernière décennie, aucune recommandation claire basée sur le dosage de l’amiodarone n’a été jusqu’à maintenant standardisée, ce qui représente un grand obstacle pour les cliniciens. La warfarine a un index thérapeutique étroit nécessitant un suivi régulier et un ajustement individuel de la posologie, ceci afin de déterminer la dose thérapeutique, tout en prévenant les effets secondaires qui pourraient être fatals dans certains cas. La variabilité interindividuelle de la réponse à la warfarine dépend de plusieurs facteurs, dont l’âge, le sexe, le poids, l’alimentation et l’interaction médicamenteuse, mais ceux-ci n’expliquent que partiellement les différences de sensibilité à la warfarine. Les polymorphismes des gènes CYP2C9 et VKORC1 jouent un rôle important dans la réponse à la warfarine et expliquent jusqu’à 50% de la variabilité des doses. L’utilisation d’antiarythmiques telle l’amiodarone peut accentuer considérablement l’effet de la warfarine et nécessite généralement une diminution de 30 à 50% de la dose de la warfarine. Aucune étude à ce jour n’a tenté de déterminer l’utilité du génotypage des polymorphismes des gènes CYP2C9 et VKORC1 chez les patients sous traitement combiné de warfarine et amiodarone. Objectif : Notre étude a pour objectif tout d’abord de déterminer si des facteurs génétiques influencent la première dose de stabilisation de la warfarine chez les patients en FA après l’introduction de l’amiodarone. Nous allons également tenter de confirmer l’association préalablement rapportée entre les facteurs génétiques et la première dose de stabilisation de warfarine dans notre population à l’étude. Méthodes : Un devis de cohorte rétrospective de patients qui fréquentaient la clinique d'anticoagulothérapie de l’Institut de cardiologie de Montréal entre le 1er janvier 2007 et le 29 février 2008 pour l’ajustement de leur dose selon les mesures d'INR. Au total, 1615 patients ont été recrutés pour participer à cette étude de recherche. Les critères de sélection des patients étaient les patients avec fibrillation auriculaire ou flutter, ayant un ECG documenté avec l'un de ces deux diagnostics et âgé de moins de 67 ans, en raison d’une moindre comorbidité. Les patients souffrant d’insuffisance hépatique chronique ont été écartés de l’étude. Tous les patients devaient signer un consentement éclairé pour leur participation au projet et échantillon de sang a été pri pour les tests génétiques. La collecte des données a été effectuée à partir du dossier médical du patient de l’Institut de cardiologie de Montréal. Un formulaire de collecte de données a été conçu à cet effet et les données ont ensuite été saisies dans une base de données SQL programmée par un informaticien expert dans ce domaine. La validation des données a été effectuée en plusieurs étapes pour minimiser les erreurs. Les analyses statistiques utilisant des tests de régression ont été effectuées pour déterminer l’association des variants génétiques avec la première dose de warfarine. Résultats : Nous avons identifié une association entre les polymorphismes des gènes CYP2C9 et VKORC1 et la dose de la warfarine. Les polymorphismes génétiques expliquent jusqu’à 42% de la variabilité de dose de la warfarine. Nous avons également démontré que certains polymorphismes génétiques expliquent la réduction de la dose de warfarine lorsque l’amiodarone est ajoutée à la warfarine. Conclusion : Les travaux effectués dans le cadre de ce mémoire ont permis de démontrer l’implication des gènes CYP2C9 et VKORC1 dans la réponse au traitement avec la warfarine et l’amiodarone. Les résultats obtenus permettent d’établir un profil personnalisé pour réduire les risques de toxicité, en permettant un dosage plus précis de la warfarine pour assurer un meilleur suivi des patients. Dans le futur, d’autres polymorphismes génétiques dans ces gènes pourraient être évalués pour optimiser davantage la personnalisation du traitement.

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A dosing algorithm including genetic (VKORC1 and CYP2C9 genotypes) and nongenetic factors (age, weight, therapeutic indication, and cotreatment with amiodarone or simvastatin) explained 51% of the variance in stable weekly warfarin doses in 390 patients attending an anticoagulant clinic in a Brazilian public hospital. The VKORC1 3673G>A genotype was the most important predictor of warfarin dose, with a partial R(2) value of 23.9%. Replacing the VKORC1 3673G>A genotype with VKORC1 diplotype did not increase the algorithm`s predictive power. We suggest that three other single-nucleotide polymorphisms (SNPs) (5808T>G, 6853G>C, and 9041G>A) that are in strong linkage disequilibrium (LD) with 3673G>A would be equally good predictors of the warfarin dose requirement. The algorithm`s predictive power was similar across the self-identified ""race/color"" subsets. ""Race/color"" was not associated with stable warfarin dose in the multiple regression model, although the required warfarin dose was significantly lower (P = 0.006) in white (29 +/- 13 mg/week, n = 196) than in black patients (35 +/- 15 mg/week, n = 76).