4.7 Article

Multicentre search for genetic susceptibility loci in sporadic epilepsy syndrome and seizure types: a case-control study

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LANCET NEUROLOGY
卷 6, 期 11, 页码 970-980

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ELSEVIER SCIENCE INC
DOI: 10.1016/S1474-4422(07)70247-8

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  1. MRC [G0400126, G0200373, G9805989, G0400017] Funding Source: UKRI
  2. Medical Research Council [G0400126, G9805989, G0200373, G0400017] Funding Source: researchfish
  3. Medical Research Council [G0400126, G9805989, G0200373, G0400017] Funding Source: Medline
  4. Wellcome Trust [068545/z/02] Funding Source: Medline

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Background The Epilepsy Genetics (EPIGEN) Consortium was established to undertake genetic mapping analyses with augmented statistical power to detect variants that influence the development and treatment of common forms of epilepsy. Methods We examined common variations across 279 prime candidate genes in 2717 case and 1118 control samples collected at four independent research centres (in the UK, Ireland, Finland, and Australia). Single nucleotide polymorphism (SNP) and combined set-association analyses were used to examine the contribution of genetic variation in the candidate genes to various forms of epilepsy. Findings We did not identify clear, indisputable common genetic risk factors that contribute to selected epilepsy subphenotypes across multiple populations. Nor did we identify risk factors for the general all-epilepsy phenotype. However, set-association analysis on the most significant p values, assessed under permutation, suggested the contribution of numerous SNPs to disease predisposition in an apparent population-specific manner. Variations in the genes KCNAB1, GABRR2, KCNMB4, SYN2, and ALDH5A1 were most notable. Interpretation The underlying genetic component to sporadic epilepsy is dearly complex. Results suggest that many SNPs contribute to disease predisposition in an apparently population-specific manner. However, subtle differences in phenotyping across cohorts, combined with a poor understanding of how the underlying genetic component to epilepsy aligns with current phenotypic classifications, might also account for apparent population-specific genetic risk factors. Variations across five genes warrant further study in independent cohorts to clarify the tentative association.

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