Genotypes and phenotypes of patients with Lafora disease living in Germany.

Abstract

BACKGROUND:

Lafora progressive myoclonus epilepsy (Lafora disease) is a rare, usually childhood-onset, fatal neurodegenerative disease caused by biallelic mutations in EPM2A (Laforin) or EPM2B (NHLRC1, Malin). The epidemiology of Lafora disease in Germany is largely unknown. The objective of this retrospective case series is to characterize the genotypes and phenotypes of patients with Lafora disease living in Germany.

METHODS:

The patients described in this case series initially had the suspected clinical diagnosis of Lafora disease, or unclassified progressive myoclonus epilepsy. Molecular genetic diagnostics including next generation sequencing-based diagnostic panel analysis or whole exome sequencing was performed.

RESULTS:

The parents of four out of the 11 patients are nonconsanguineous and of German origin while the other patients had consanguineous parents. Various variants were found in EPM2A (six patients) and in EPM2B (five patients). Eight variants have not been reported in the literature so far. The patients bearing novel variants had typical disease onset during adolescence and show classical disease courses.

CONCLUSIONS:

This is the first larger case series of Lafora patients in Germany. Our data enable an approximation of the prevalence of manifest Lafora disease in Germany to 1,69 per 10 million people. Broader application of gene panel or whole-exome diagnostics helps clarifying unclassified progressive myoclonus epilepsy and establish an early diagnosis, which will be even more important as causal therapy approaches have been developed and are soon to be tested in a phase I study.

• Authors: David Brenner, Tobias Baumgartner, Sarah von Spiczak, Jan Lewerenz, Roger Weis, Anja Grimmer, Petra Gaspirova, Claudia D Wurster, Wolfram S Kunz, Jan Wagner, Berge A Minassian, Christian E Elger, Albert C Ludolph, Saskia Biskup, Dennis Döcker
• Journal: Neurological research and practice (Neurol Res Pract) Vol. 1 ( 2019) ISSN: 2524-3489 [Electronic] England
• PMID: 32587944 (Publication Type: Journal Article)