Wieloskalowe analizy genetyczne i transkriptomiczne wskazujące leki dla epilepsji

BACKGROUND: Epilepsy is a common neurological disorder with high genetic heterogeneity and affects approximately 70 million people worldwide. Although several studies have combined Genome-Wide Association Studies (GWAS) with bulk expression quantitative trait loci (eQTLs) to explore epilepsy risk genes, the cellular context of genetic regulation remains insufficiently defined. METHODS: We integrated epilepsy GWAS data with brain bulk and single-cell eQTLs using summary-data-based Mendelian randomization (SMR) and Bayesian colocalization to identify causal genes. The identified genes were validated in an independent RNA-seq cohort of patients with refractory epilepsy. We then characterized cell-type specificity and intercellular signaling using single-cell RNA sequencing (scRNA-seq) and CellChat. Druggability and drug-repurposing analyses were performed using DSigDB to identify targeted therapeutic compounds for epilepsy. RESULTS: Seven epilepsy causal genes (FGFR3, PM20D1, ZNF564, HAGH, CAPN15, CCDC117 and DARS1-AS1) were identified, with FGFR3 and HAGH identified as druggable targets. FGFR3 was predominantly expressed in astrocytes and involved in an astrocyte-centered FGF2-FGFR signaling loop, whereas HAGH was enriched in neurons. DSigDB analysis highlighted the FGFR inhibitor, Ro-4396686, as the top candidate compound. CONCLUSIONS: Multi-scale integration of eQTL, GWAS and transcriptomic datasets reveals the genetic variants of epilepsy, with FGFR3-driven FGF signaling representing a principal molecular axis. This study reveals the cellular context of this disorder and highlights FGFR3 and HAGH as promising therapeutic targets.