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Genetic determinants of common epilepsies: A meta-analysis of genome-wide association studies

Journal article published in 2014 by Gerrit-Jan de Haan, Carolien G. F. de Kovel, Sarah von Spiczak, Richard J. L. Anney, Reetta Kälviäinen, G.-J. De Haan, Krishna Chinthapalli, C. G. F. De Kovel, Andreja Avbersek, Alison J. Coffey, Alastair Compston, David Balding, Rikke S. Møller, Thomas N. Ferraro, Patrick Cossette and other authors.
This paper is available in a repository.
This paper is available in a repository.

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Abstract

BACKGROUND: The epilepsies are a clinically heterogeneous group of neurological disorders. Despite strong evidence for heritability, genome-wide association studies have had little success in identification of risk loci associated with epilepsy, probably because of relatively small sample sizes and insufficient power. We aimed to identify risk loci through meta-analyses of genome-wide association studies for all epilepsy and the two largest clinical subtypes (genetic generalised epilepsy and focal epilepsy). METHODS: We combined genome-wide association data from 12 cohorts of individuals with epilepsy and controls from population-based datasets. Controls were ethnically matched with cases. We phenotyped individuals with epilepsy into categories of genetic generalised epilepsy, focal epilepsy, or unclassified epilepsy. After standardised filtering for quality control and imputation to account for different genotyping platforms across sites, investigators at each site conducted a linear mixed-model association analysis for each dataset. Combining summary statistics, we conducted fixed-effects meta-analyses of all epilepsy, focal epilepsy, and genetic generalised epilepsy. We set the genome-wide significance threshold at p