Journal article
Validation of a multigenic model to predict seizure control in newly treated epilepsy
K Shazadi, S Petrovski, A Roten, H Miller, RM Huggins, MJ Brodie, M Pirmohamed, MR Johnson, AG Marson, TJ O'Brien, GJ Sills
Epilepsy Research | Published : 2014
Abstract
A multigenic classifier based on five single nucleotide polymorphisms (SNPs) was previously reported to predict treatment response in an Australian newly-diagnosed epilepsy cohort using a k-nearest neighbour (. kNN) algorithm. We assessed the validity of this classifier in predicting response to initial antiepileptic drug (AED) treatment in two UK cohorts of newly-diagnosed epilepsy and investigated the utility of these five SNPs in predicting seizure control in general. The original Australian cohort constituted the training set for the classifier and was used to predict response to the first well-tolerated AED monotherapy in independently recruited UK cohorts (Glasgow, n=. 281; SANAD, n=. ..
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Awarded by Royal Melbourne Hospital Neuroscience Foundation
Funding Acknowledgements
The authors thank the patients for their participation and the research assistants at each of the recruiting centers for their assistance. This research was supported by the Wellcome Trust (UK), the National Institute of Health Research (UK), the Department of Health NHS Chair of Pharmacogenetics (UK), The Royal Melbourne Hospital Foundation Lottery Grants (Australia) and The RMH Neuroscience Foundation (Australia). Dr Petrovski is a NHMRC Early Career Fellow and has received a Grass Foundation Award that supported his attendance and presentation of this research at the American Epilepsy Society meeting. Funders had no involvement in study design, in collection, analysis or interpretation of data, in preparation of the manuscript, or in the decision to submit the manuscript for publication.