Literature DB >> 16857572

Clinical factors and ABCB1 polymorphisms in prediction of antiepileptic drug response: a prospective cohort study.

Guy Leschziner1, Andrea L Jorgensen, Toby Andrew, Munir Pirmohamed, Paula R Williamson, Anthony G Marson, Alison J Coffey, Claire Middleditch, Jane Rogers, David R Bentley, David W Chadwick, David J Balding, Michael R Johnson.   

Abstract

BACKGROUND: The ABCB1 3435C-->T single-nucleotide polymorphism (SNP) or a three-SNP haplotype containing 3435C-->T has been implicated in multidrug resistance in epilepsy in three retrospective case-control studies, but a further three have failed to replicate the association. We aimed to determine the effect of the ABCB1 gene on epilepsy drug response, using a unique large cohort of epilepsy patients with prospectively measured seizure and drug response outcomes.
METHODS: The ABCB1 3435C-->T polymorphism and three-SNP haplotype, plus a comprehensive set of tag SNPs across ABCB1 and adjacent ABCB4, were genotyped in a cohort of 503 epilepsy patients with prospectively measured seizure and drug response outcomes. Clinical, demographic, and genetic data were analysed. Treatment outcome was measured in terms of time to 12-month remission, time to first seizure, and time to drug withdrawal due to inadequate seizure control or side-effects. Randomly selected genome-wide HapMap SNPs (n=129) were genotyped in all patients for genomic control.
FINDINGS: Number of seizures before treatment was the dominant feature predicting seizure outcome after starting antiepileptic drug therapy, measured by both time to first seizure (hazard ratio 1.34, 95% CI 1.21-1.49, p<0.0001) and time to 12-month remission (0.83, 0.73-0.94, p=0.003). There was no association of the ABCB1 3435C-->T polymorphism, the three-SNP haplotype, or any gene-wide tag SNP with time to first seizure after starting drug therapy, time to 12-month remission, or time to drug withdrawal due to unacceptable side-effects or to lack of seizure control.
INTERPRETATION: We found no evidence that ABCB1 common variation influences either seizure or drug withdrawal outcomes after initiation of antiepileptic drug therapy.

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Year:  2006        PMID: 16857572     DOI: 10.1016/S1474-4422(06)70500-2

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  14 in total

1.  Biomarkers for antiepileptic drug response.

Authors:  Tracy A Glauser
Journal:  Biomark Med       Date:  2011-10       Impact factor: 2.851

2.  Intrinsic severity as a determinant of antiepileptic drug refractoriness.

Authors:  Michael A Rogawski; Michael R Johnson
Journal:  Epilepsy Curr       Date:  2008 Sep-Oct       Impact factor: 7.500

3.  Evaluation of methodology for the analysis of 'time-to-event' data in pharmacogenomic genome-wide association studies.

Authors:  Hamzah Syed; Andrea L Jorgensen; Andrew P Morris
Journal:  Pharmacogenomics       Date:  2016-06-01       Impact factor: 2.533

Review 4.  Impact of Genetic Polymorphisms of ABCB1 (MDR1, P-Glycoprotein) on Drug Disposition and Potential Clinical Implications: Update of the Literature.

Authors:  Stefan Wolking; Elke Schaeffeler; Holger Lerche; Matthias Schwab; Anne T Nies
Journal:  Clin Pharmacokinet       Date:  2015-07       Impact factor: 6.447

5.  Association of MDR1 gene C3435T polymorphism with childhood intractable epilepsy: a meta-analysis.

Authors:  Guilian Sun; Xue Sun; Limei Guan
Journal:  J Neural Transm (Vienna)       Date:  2014-02-20       Impact factor: 3.575

6.  Epi4K: gene discovery in 4,000 genomes.

Authors: 
Journal:  Epilepsia       Date:  2012-05-29       Impact factor: 5.864

7.  Drug resistance in epilepsy and the ABCB1 gene: The clinical perspective.

Authors:  Abhijit Das; Shabeesh Balan; Moinak Banerjee; Kurupath Radhakrishnan
Journal:  Indian J Hum Genet       Date:  2011-05

8.  Challenges and recommendations for conducting epidemiological studies in the field of epilepsy pharmacogenetics.

Authors:  Sandeep Grover; Meenal Gupta; Ritushree Kukreti
Journal:  Indian J Hum Genet       Date:  2011-05

9.  A genome-wide association study and biological pathway analysis of epilepsy prognosis in a prospective cohort of newly treated epilepsy.

Authors:  Doug Speed; Clive Hoggart; Slave Petrovski; Ioanna Tachmazidou; Alison Coffey; Andrea Jorgensen; Hariklia Eleftherohorinou; Maria De Iorio; Marian Todaro; Tisham De; David Smith; Philip E Smith; Margaret Jackson; Paul Cooper; Mark Kellett; Stephen Howell; Mark Newton; Raju Yerra; Meng Tan; Chris French; Markus Reuber; Graeme E Sills; David Chadwick; Munir Pirmohamed; David Bentley; Ingrid Scheffer; Samuel Berkovic; David Balding; Aarno Palotie; Anthony Marson; Terence J O'Brien; Michael R Johnson
Journal:  Hum Mol Genet       Date:  2013-08-19       Impact factor: 6.150

Review 10.  Various pharmacogenetic aspects of antiepileptic drug therapy: a review.

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

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