Literature DB >> 17549063

Pharmacogenetics and pharmacogenomics of schizophrenia: a review of last decade of research.

M J Arranz1, J de Leon.   

Abstract

The last decade of research into the pharmacogenetics of antipsychotics has seen the development of genetic tests to determine the patients' metabolic status and the first attempts at personalization of antipsychotic treatment. The most significant results are the association between drug metabolic polymorphisms, mainly in cytochrome P450 genes, with variations in drug metabolic rates and side effects. Patients with genetically determined CYP2D6 poor metabolizer (PMs) status may require lower doses of antipsychotic. Alternatively, CYP2D6 ultrarapid matabolizers (UMs) will need increased drug dosage to obtain therapeutic response. Additionally, polymorphisms in dopamine and serotonin receptor genes are repeatedly found associated with response phenotypes, probably reflecting the strong affinities that most antipsychotics display for these receptors. In particular, there is important evidence suggesting association between dopamine 2 receptor (D2) polymorphisms (Taq I and -141-C Ins/Del) and a dopamine 3 receptor (D3) polymorphism (Ser9Gly) with antipsychotic response and drug-induced tardive dyskinesia. Additionally, there is accumulating evidence indicating the influence of a 5-HT2C polymorphism (-759-T/C) in antipsychotic-induced weight gain. Application of this knowledge to clinical practice is slowly gathering pace, with pretreatment determination of individual's drug metabolic rates, via CYP genotyping, leading the field. Genetic determination of patients' metabolic status is expected to bring clinical benefits by helping to adjust therapeutic doses and reduce adverse reactions. Genetic tests for the pretreatment prediction of antipsychotic response, although still in its infancy, have obvious implications for the selection and improvement of antipsychotic treatment. These developments can be considered as successes, but the objectives of bringing pharmacogenetic and pharmacogenomic research in psychiatric clinical practice are far from being realized. Further development of genetic tests is required before the concept of tailored treatment can be applied to psychopharmatherapy. This review aims to summarize the key findings from the last decade of research in the field. Current knowledge on genetic prediction of drug metabolic status, general response and drug-induced side effects will be reviewed and future pharmacogenomic and epigenetic research will be discussed.

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Year:  2007        PMID: 17549063     DOI: 10.1038/sj.mp.4002009

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  83 in total

1.  Exploring schizophrenia drug-gene interactions through molecular network and pathway modeling.

Authors:  Daniel K Putnam; Jingchun Sun; Zhongming Zhao
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Association of the ZFPM2 gene with antipsychotic-induced parkinsonism in schizophrenia patients.

Authors:  Lior Greenbaum; Robert C Smith; Mordechai Lorberboym; Anna Alkelai; Polina Zozulinsky; Tzuri Lifschytz; Tzuri Lifshytz; Yoav Kohn; Ruth Djaldetti; Bernard Lerer
Journal:  Psychopharmacology (Berl)       Date:  2011-09-24       Impact factor: 4.530

Review 3.  Pharmacogenetics and antipsychotics: therapeutic efficacy and side effects prediction.

Authors:  Jian-Ping Zhang; Anil K Malhotra
Journal:  Expert Opin Drug Metab Toxicol       Date:  2011-01       Impact factor: 4.481

4.  Risk for antipsychotic-induced extrapyramidal symptoms: influence of family history and genetic susceptibility.

Authors:  Meike Kasten; Norbert Brüggemann; Inke R König; Katja Doerry; Susanne Steinlechner; Liv Wenzel; Katja Lohmann; Christine Klein; Rebekka Lencer
Journal:  Psychopharmacology (Berl)       Date:  2010-11-12       Impact factor: 4.530

5.  Lack of association between 71 variations located in candidate genes and response to acute haloperidol treatment.

Authors:  Ina Giegling; Antonio Drago; Martin Schäfer; Annette M Hartmann; Thomas Sander; Mohammad Reza Toliat; Hans-Jürgen Möller; Diana De Ronchi; Hans H Stassen; Dan Rujescu; Alessandro Serretti
Journal:  Psychopharmacology (Berl)       Date:  2010-11-16       Impact factor: 4.530

Review 6.  Antipsychotic drugs and obesity.

Authors:  Christoph U Correll; Todd Lencz; Anil K Malhotra
Journal:  Trends Mol Med       Date:  2010-12-22       Impact factor: 11.951

7.  Association of two DRD2 gene polymorphisms with acute and tardive antipsychotic-induced movement disorders in young Caucasian patients.

Authors:  Jeroen P Koning; Jelle Vehof; Huibert Burger; Bob Wilffert; Asmar Al Hadithy; Behrooz Alizadeh; Peter N van Harten; Harold Snieder
Journal:  Psychopharmacology (Berl)       Date:  2011-07-13       Impact factor: 4.530

Review 8.  Contribution of allelic variations to the phenotype of response to antidepressants and antipsychotics.

Authors:  Wolfgang Maier; Astrid Zobel
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-03       Impact factor: 5.270

9.  Potential contribution of dopaminergic gene variants in ADHD core traits and co-morbidity: a study on eastern Indian probands.

Authors:  Subhamita Maitra; Kanyakumarika Sarkar; Paramita Ghosh; Arijit Karmakar; Animesh Bhattacharjee; Swagata Sinha; Kanchan Mukhopadhyay
Journal:  Cell Mol Neurobiol       Date:  2014-03-02       Impact factor: 5.046

10.  Association studies of genomic variants with treatment response to risperidone, clozapine, quetiapine and chlorpromazine in the Chinese Han population.

Authors:  Q Xu; X Wu; M Li; H Huang; C Minica; Z Yi; G Wang; L Shen; Q Xing; Y Shi; L He; S Qin
Journal:  Pharmacogenomics J       Date:  2015-08-18       Impact factor: 3.550

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