Targeted next generation sequencing as a diagnostic tool in epileptic disorders

Johannes R. Lemke(University Hospital of Bern), Erik Riesch(CeGaT (Germany)), Tim Scheurenbrand(CeGaT (Germany)), Max Schubach(CeGaT (Germany)), Christian Wilhelm(CeGaT (Germany)), Isabelle Steiner(CeGaT (Germany)), Jörg Hansen(University Hospital of Bern), Carolina Courage(University Hospital of Bern), Sabina Gallati(University Hospital of Bern), Sarah Bürki(University Hospital of Bern), Susi Strozzi(University Hospital of Bern), Barbara Goeggel Simonetti(University Hospital of Bern), Sebastian Grunt(University Hospital of Bern), Maja Steinlin(University Hospital of Bern), Michael Alber(University Children's Hospital Tübingen), Markus Wolff(University Children's Hospital Tübingen), Thomas Klopstock(Ludwig-Maximilians-Universität München), Eva Christina Prott, Rüdiger Lorenz(Werner-Wicker-Klinik), Christiane Spaich(Olgahospital), Sabine Rona(University of Tübingen), Maya Lakshminarasimhan(Swiss Epilepsy Center), Judith F. Kroll(Swiss Epilepsy Center), Thomas Dorn(Swiss Epilepsy Center), Günter Krämer(Swiss Epilepsy Center), Matthis Synofzik(German Center for Neurodegenerative Diseases), Felicitas Becker(Hertie Institute for Clinical Brain Research), Yvonne Weber(Hertie Institute for Clinical Brain Research), Holger Lerche(Hertie Institute for Clinical Brain Research), Detlef Böhm(CeGaT (Germany)), Saskia Biskup(German Center for Neurodegenerative Diseases)
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Abstract

PURPOSE: Epilepsies have a highly heterogeneous background with a strong genetic contribution. The variety of unspecific and overlapping syndromic and nonsyndromic phenotypes often hampers a clear clinical diagnosis and prevents straightforward genetic testing. Knowing the genetic basis of a patient's epilepsy can be valuable not only for diagnosis but also for guiding treatment and estimating recurrence risks. METHODS: To overcome these diagnostic restrictions, we composed a panel of genes for Next Generation Sequencing containing the most relevant epilepsy genes and covering the most relevant epilepsy phenotypes known so far. With this method, 265 genes were analyzed per patient in a single step. We evaluated this panel on a pilot cohort of 33 index patients with concise epilepsy phenotypes or with a severe but unspecific seizure disorder covering both sporadic and familial cases. KEY FINDINGS: We identified presumed disease-causing mutations in 16 of 33 patients comprising sequence alterations in frequently as well as in less commonly affected genes. The detected aberrations encompassed known and unknown point mutations (SCN1A p.R222X, p. E289V, p.379R, p.R393H; SCN2A p.V208E; STXBP1 p.R122X; KCNJ10 p.L68P, p.I129V; KCTD7 p.L108M; KCNQ3 p.P574S; ARHGEF9 p.R290H; SMS p.F58L; TPP1 p.Q278R, p.Q422H; MFSD8 p.T294K), a putative splice site mutation (SCN1A c.693A> p.T/P231P) and small deletions (SCN1A p.F1330Lfs3X [1 bp]; MFSD8 p.A138Dfs10X [7 bp]). All mutations have been confirmed by conventional Sanger sequencing and, where possible, validated by parental testing and segregation analysis. In three patients with either Dravet syndrome or myoclonic epilepsy, we detected SCN1A mutations (p.R222X, p.P231P, p.R393H), even though other laboratories had previously excluded aberrations of this gene by Sanger sequencing or high-resolution melting analysis. SIGNIFICANCE: We have developed a fast and cost-efficient diagnostic screening method to analyze the genetic basis of epilepsies. We were able to detect mutations in patients with clear and with unspecific epilepsy phenotypes, to uncover the genetic basis of many so far unresolved cases with epilepsy including mutation detection in cases in which previous conventional methods yielded falsely negative results. Our approach thus proved to be a powerful diagnostic tool that may contribute to collecting information on both common and unknown epileptic disorders and in delineating associated phenotypes of less frequently mutated genes.


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