Literature DB >> 22386772

Clinical response to antipsychotic drug treatment: association study of polymorphisms in six candidate genes.

Jelle Vehof1, Huibert Burger, Bob Wilffert, Asmar Al Hadithy, Behrooz Z Alizadeh, Harold Snieder.   

Abstract

Pharmacogenetic studies have demonstrated significant associations between several candidate genes (DRD2, DRD3, 5HTR2A and 5HTR2C, COMT and MTHFR) and antipsychotic drug response. The present study investigates the effect of nine polymorphisms in these genes for an association with antipsychotic treatment response. 329 Caucasian patients with a non-affective psychotic disorder using antipsychotics were included. All patients participated in the longitudinal GROUP-study in The Netherlands. We genotyped 9 SNPs in 6 candidate genes (DRD2: TaqI_A, -141C; DRD3: Ser9Gly; HTR2A: 102-T/C, His452Tyr; HTR2C: Cys23Ser; COMT: Val158Met; MTHFR: 677-C/T) using standard protocols. Polymorphisms were based on previous studies showing associations with positive symptoms treatment response. The Clinical Global Impression - Improvement (CGI-I) scale was used to assess improvement in positive psychotic symptoms since the start of current antipsychotic treatment. Ordinal regression was used for association analyses. Ninety percent of the patients used second generation antipsychotics, with olanzapine (28%) and risperidone (29%) being the most prescribed drugs. Ser9Gly of the dopamine D3 receptor gene (P value 0.034) and 677-C/T of MTHFR (P value 0.019) were tested statistically significant. Gly-carriers and T-carriers, respectively, showed more clinical improvement on the CGI-I. The other polymorphisms did not show a statistically significant association (P values>0.10). In conclusion, we replicated two out of nine of the previously reported associations between polymorphisms and treatment response. The direction and magnitude of the associations presented here in DRD3 (Ser9Gly) and MTHFR (677-C/T) are in line with previous association studies in Caucasian patients. These polymorphisms may be of value for predicting clinical response.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22386772     DOI: 10.1016/j.euroneuro.2012.01.006

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  11 in total

Review 1.  Classics in Chemical Neuroscience: Aripiprazole.

Authors:  Austen B Casey; Clinton E Canal
Journal:  ACS Chem Neurosci       Date:  2017-04-13       Impact factor: 4.418

2.  Gene expression and response prediction to amisulpride in the OPTiMiSE first episode psychoses.

Authors:  Réjane Troudet; Wafa Bel Haj Ali; Delphine Bacq-Daian; Inge Winter van Rossum; Anne Boland-Auge; Christophe Battail; Caroline Barau; Dan Rujescu; Philip McGuire; René S Kahn; Jean-François Deleuze; Marion Leboyer; Stéphane Jamain
Journal:  Neuropsychopharmacology       Date:  2020-05-25       Impact factor: 7.853

3.  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

4.  Aberrant dopamine D2-like receptor function in a rodent model of schizophrenia.

Authors:  Stephanie M Perez; Daniel J Lodge
Journal:  J Pharmacol Exp Ther       Date:  2012-08-02       Impact factor: 4.030

5.  Association study between COMT, DRD2, and DRD3 gene variants and antipsychotic treatment response in Mexican patients with schizophrenia.

Authors:  Raul Escamilla; Beatriz Camarena; Ricardo Saracco-Alvarez; Ana Fresán; Sandra Hernández; Alejandro Aguilar-García
Journal:  Neuropsychiatr Dis Treat       Date:  2018-11-05       Impact factor: 2.570

6.  Genetic variation in the human brain dopamine system influences motor learning and its modulation by L-Dopa.

Authors:  Kristin M Pearson-Fuhrhop; Brian Minton; Daniel Acevedo; Babak Shahbaba; Steven C Cramer
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

7.  Methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism and age at onset of schizophrenia: no consistent evidence for an association in the Nordic population.

Authors:  Peter Saetre; Jakob Grove; Anders D Børglum; Ole Mors; Thomas Werge; Ole A Andreassen; Maria Vares; Ingrid Agartz; Lars Terenius; Erik G Jönsson
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2012-10-17       Impact factor: 3.568

8.  Meta-analyses of blood homocysteine levels for gender and genetic association studies of the MTHFR C677T polymorphism in schizophrenia.

Authors:  Akira Nishi; Shusuke Numata; Atsushi Tajima; Makoto Kinoshita; Kumiko Kikuchi; Shinji Shimodera; Masahito Tomotake; Kazutaka Ohi; Ryota Hashimoto; Issei Imoto; Masatoshi Takeda; Tetsuro Ohmori
Journal:  Schizophr Bull       Date:  2014-02-17       Impact factor: 9.306

Review 9.  Catechol-O-Methyltransferase Val158Met Polymorphism and Clinical Response to Antipsychotic Treatment in Schizophrenia and Schizo-Affective Disorder Patients: a Meta-Analysis.

Authors:  Eric Huang; Clement C Zai; Amanda Lisoway; Malgorzata Maciukiewicz; Daniel Felsky; Arun K Tiwari; Jeffrey R Bishop; Masashi Ikeda; Patricio Molero; Felipe Ortuno; Stefano Porcelli; Jerzy Samochowiec; Pawel Mierzejewski; Shugui Gao; Benedicto Crespo-Facorro; José M Pelayo-Terán; Harpreet Kaur; Ritushree Kukreti; Herbert Y Meltzer; Jeffrey A Lieberman; Steven G Potkin; Daniel J Müller; James L Kennedy
Journal:  Int J Neuropsychopharmacol       Date:  2016-04-29       Impact factor: 5.176

10.  The DRD3 Ser9Gly Polymorphism Predicted Metabolic Change in Drug-Naive Patients With Bipolar II Disorder.

Authors:  Ting-Ting Chang; Shiou-Lan Chen; Yun-Hsuan Chang; Po-See Chen; Chun-Hsien Chu; Shih-Heng Chen; San-Yuan Huang; Nian-Sheng Tzeng; Liang-Jen Wang; Tzu-Yun Wang; Chia-Ling Li; Yi-Lun Chung; Tsai-Hsin Hsieh; I-Hui Lee; Kao-Ching Chen; Yen-Kuang Yang; Jau-Shyong Hong; Ru-Band Lu; Sheng-Yu Lee
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.