Literature DB >> 15979945

The relationship between the pharmacology of antiepileptic drugs and human gene variation: an overview.

Thomas N Ferraro1, Russell J Buono.   

Abstract

Individual differences in clinical responsiveness to antiepileptic drugs are due to a complex interaction between environmental factors and genetic variation. Considerable interest has arisen in exploiting advances in molecular genetics to improve drug therapy for epilepsy and many other diseases; however, practical application of pharmacogenetics has been difficult to realize. Attempts to define gene variants that are associated with therapeutic (or adverse) effects of antiepileptic drugs rely currently on the prior identification of candidate genes and the subsequent evaluation of the distribution of allelic variants between individuals who have a "good" versus a "poor" clinical response. Many factors can adversely affect interpretation of such data, and careful consideration must be given to the design of genetic association studies involving candidate genes. Candidate genes may be identified in a number of ways; however, for studies of drugs, application of knowledge derived from basic pharmacology can suggest focused and testable hypotheses that are based on the fundamental principles of drug action. Thus, studies of genetic variation as they relate to proteins involved in antiepileptic drug kinetics and dynamics will identify key polymorphisms in endogenous molecules that determine degrees of drug efficacy and toxicity. Delineation of these effects in the coming years will promote enhanced success in the treatment of epilepsy.

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Year:  2005        PMID: 15979945     DOI: 10.1016/j.yebeh.2005.04.010

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  12 in total

1.  Case-control association study of polymorphisms in the voltage-gated sodium channel genes SCN1A, SCN2A, SCN3A, SCN1B, and SCN2B and epilepsy.

Authors:  Larry Baum; Batoul Sadat Haerian; Ho-Keung Ng; Virginia C N Wong; Ping Wing Ng; Colin H T Lui; Ngai Chuen Sin; Chunbo Zhang; Brian Tomlinson; Gary Wing-Kin Wong; Hui Jan Tan; Azman Ali Raymond; Zahurin Mohamed; Patrick Kwan
Journal:  Hum Genet       Date:  2013-12-13       Impact factor: 4.132

Review 2.  Molecular targets for antiepileptic drug development.

Authors:  Brian S Meldrum; Michael A Rogawski
Journal:  Neurotherapeutics       Date:  2007-01       Impact factor: 7.620

3.  Association between two SCN1A polymorphisms and resistance to sodium channel blocking AEDs: a meta-analysis.

Authors:  Yi Bao; Xinzhu Liu; Zheng Xiao
Journal:  Neurol Sci       Date:  2018-03-26       Impact factor: 3.307

Review 4.  The pharmacogenomics of valproic acid.

Authors:  Miao-Miao Zhu; Hui-Lan Li; Li-Hong Shi; Xiao-Ping Chen; Jia Luo; Zan-Ling Zhang
Journal:  J Hum Genet       Date:  2017-09-07       Impact factor: 3.172

5.  Pharmacogenomic association study on the role of drug metabolizing, drug transporters and drug target gene polymorphisms in drug-resistant epilepsy in a north Indian population.

Authors:  Ritu Kumari; Ram Lakhan; R K Garg; J Kalita; U K Misra; Balraj Mittal
Journal:  Indian J Hum Genet       Date:  2011-05

6.  Effects of GRM4, SCN2A and SCN3B polymorphisms on antiepileptic drugs responsiveness and epilepsy susceptibility.

Authors:  Laith N Al-Eitan; Islam M Al-Dalalah; Hanan A Aljamal
Journal:  Saudi Pharm J       Date:  2019-04-24       Impact factor: 4.330

7.  Cost-effectiveness of adding-on new antiepileptic drugs to conventional regimens in controlling intractable seizures in children.

Authors:  Zahra Gharibnaseri; Abbas Kebriaeezadeh; Shekoufeh Nikfar; Gholamreza Zamani; Akbar Abdollahiasl
Journal:  Daru       Date:  2012-08-30       Impact factor: 3.117

Review 8.  Various pharmacogenetic aspects of antiepileptic drug therapy: a review.

Authors:  Michael W Mann; Gerard Pons
Journal:  CNS Drugs       Date:  2007       Impact factor: 6.497

9.  Polymorphic Variants of SCN1A and EPHX1 Influence Plasma Carbamazepine Concentration, Metabolism and Pharmacoresistance in a Population of Kosovar Albanian Epileptic Patients.

Authors:  Armond Daci; Giangiacomo Beretta; Driton Vllasaliu; Aida Shala; Valbona Govori; Giuseppe Danilo Norata; Shaip Krasniqi
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

10.  Building integrated ontological knowledge structures with efficient approximation algorithms.

Authors:  Yang Xiang; Sarath Chandra Janga
Journal:  Biomed Res Int       Date:  2015-10-13       Impact factor: 3.411

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