OBJECTIVE
The polygenic risk score (PRS) for individuals with genetic generalized epilepsy (GGE) quantifies the common risk variants in genes identified in genome-wide association studies. We hypothesized that the phenotype of GGE patients differs based on their GGE PRS.
METHODS
We identified participants with highest (n = 59) versus lowest (n = 48) PRS from the GGE patients (n = 2256) recruited through the Epi25 Collaborative for comparison. Detailed clinical data were acquired retrospectively for the 59 high PRS and 48 low PRS individuals with GGE from the Epi25 database and from the contributing centers. For validation, we accessed a larger cohort (n = 1175) of patients with GGE included in the Epi25 Collaborative.
RESULTS
This study found no difference in phenotypic features of patients between the high-PRS GGE and low-PRS GGE subgroups, including age at onset, family history, and specific GGE syndrome. However, more patients from the lowest compared to the highest PRS subgroup were pharmacoresistant (31.7% vs. 8.9%, p = .01). On validation in a larger cohort, the PRS did not differ in the group of pharmacoresistant compared to nonpharmacoresistant patients.
SIGNIFICANCE
No meaningful association between PRS and age at onset, history of febrile seizures, pre-/perinatal complications, epilepsy syndromes, seizure types, co-occurrence of functional/dissociative (nonepileptic) seizures, psychiatric comorbidities, electroencephalographic/magnetic resonance imaging findings, or drug response could be demonstrated in this study of people with GGE.
Sophie von Brauchitsch, Nils Hartung, R. Karge et al.· Epilepsia· 0 citations
The findings highlight genetic NDDs as genome-informed yet exposure-sensitive disorders and several external factors that both represent markers of epilepsy severity and may support early, genetically informed seizure management and careful stewardship of treatment exposures.
C. Boßelmann, Natasha N. Ludwig, C. Holingue et al.· Epilepsia· 0 citations
These prediction models demonstrate the feasibility of early prognostication in KCNQ2-RD and support future prospective external validation and enable more accurate individualised counselling by integrating clinical and genetic information readily available at time of genetic diagnosis.
E. Van Boxstael, C. Millevert, M. Hairabedian et al.· medRxiv· 0 citations