Whole genome sequencing identifies putative associations between genomic polymorphisms and clinical response to the antiepileptic drug levetiracetam
DV Vavoulis, AT Pagnamenta, SJL Knight, MM Pentony, M Armstrong, EC, Galizia, S Balestrini, SM Sisodiya, JC Taylor

TL;DR
This study uses whole genome sequencing of extreme responders and non-responders to levetiracetam to identify genetic variants associated with drug response, revealing potential genetic markers and pathways involved in epilepsy treatment variability.
Contribution
It demonstrates the feasibility of using whole genome sequencing on extreme phenotypes to discover genetic factors influencing drug response in epilepsy.
Findings
Common polymorphisms in genes SPNS3, HDC, MDGA2, NSG1, RASGEF1C predict response with ~91% accuracy.
Associations between rare variants in PRKCB, DLG2, FILIP1, SEMA6D and drug response.
Pathways involved in synaptic neurotransmission and neural connectivity are linked to levetiracetam response.
Abstract
In the context of pharmacogenomics, whole genome sequencing provides a powerful approach for identifying correlations between response variability to specific drugs and genomic polymorphisms in a population, in an unbiased manner. In this study, we employed whole genome sequencing of DNA samples from patients showing extreme response (n=72) and non-response (n=27) to the antiepileptic drug levetiracetam, in order to identify genomic variants that underlie response to the drug. Although no common SNP (MAF>5%) crossed the conventional genome-wide significance threshold of 5e-8, we found common polymorphisms in genes SPNS3, HDC, MDGA2, NSG1 and RASGEF1C, which collectively predict clinical response to levetiracetam in our cohort with ~91% predictive accuracy. Among these genes, HDC, NSG1, MDGA2 and RASGEF1C are potentially implicated in synaptic neurotransmission, while SPNS3 is an…
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Taxonomy
TopicsEpilepsy research and treatment · Drug Transport and Resistance Mechanisms · Genomics and Rare Diseases
