An empirical pipeline for personalized diagnosis of Lafora disease mutations

Abstract

Lafora disease (LD) is a fatal, insidious metabolic disorder characterized by progressive myoclonic epilepsy manifesting in the teenage years, rapid neurological decline, and death typically within ten years of onset. Mutations in either EPM2A, encoding the glycogen phosphatase laforin, or EPM2B, encoding the E3 ligase malin, cause LD. Whole exome sequencing has revealed many EPM2A variants associated with late-onset or slower disease progression. We established an empirical pipeline for characterizing laforin missense mutations in vitro using complimentary biochemical approaches. Analysis of 26 mutations revealed distinct functional classes associated with different outcomes supported by multiple clinical cases. For example, F321C and G279C mutations have attenuated functional defects and are associated with slow progression. This pipeline allows rapid characterization and classification of novel EPM2A mutations, enabling clinicians and researchers to rapidly utilize genetic information to guide treatment of LD patients.