Biological psychiatry global open science · 2025
Multisite, Multiancestry Genome-Wide Association Study Meta-Analysis of Functional Seizure Disorder in a Hospital Sample of 675,680 Patients.
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Goleva Slavina B, Leu Costin, Anne Feng Yen-Chen, Burstein David, Venkatesh Sanan, Birnbaum Rebecca, Rajagopal Veera M, Straub Peter, Christensen Jakob, Bautista Jocelyn F, Busch Robyn M, Najm Imad M, Grove Jakob, Børglum Anders D, Voloudakis Georgios, Roussos Panos, Smoller Jordan, Lal Dennis, Davis Lea K
Аннотация
BACKGROUND: Functional seizures (FS) are paroxysmal episodes that phenotypically resemble epileptic seizures but are not associated with brain epileptiform discharges; they are also known as psychogenic nonepileptic seizures. The exact etiology and pathophysiology of FS is unknown; however, trauma and stress-related disorders are known risk factors.
METHODS: We used a validated algorithm applied to electronic health records to identify individuals with FS in 6 international biobanks and hospital sites. We conducted a multisite FS genome-wide association study (GWAS) meta-analysis, including 10,910 FS cases (9040 predicted European ancestry [EA] and 1870 predicted African ancestry [AA]) and 664,500 (561,150 EA and 103,350 AA) control participants.
RESULTS: The EA meta-analysis identified significant single nucleotide polymorphism-based heritability on the liability scale of 2.21% (SE = 0.015%, p = 10-3; assumed FS prevalence = 0.14%), but no genome-wide significant loci. Nominal associations emerged from the EA GWAS within 16q23.3 (CDH13 intronic variant rs8056064, effect allele = A, z = -4.762, p = 1.92 × 10-6) and from the AA GWAS within 17q21.2 (rs34380994, effect allele = T, z = 5.28, p = 1.32 × 10-7). Significantly associated gene sets included magnesium ion transport, mitochondrial membrane complexes, and RNA polymerase II preinitiation complex assembly (Bonferroni-corrected p values = .0095, .012, and .03, respectively). MAGMA gene property analysis for tissue specificity showed significant enrichment of FS-associated genes within cerebellum-expressed genes (beta = 0.019, SE = 0.0059, p = 7.1 × 10-3).
CONCLUSIONS: To our knowledge, this is the first GWAS of FS, and our results support a genetic basis of FS. Future large-scale genetic research studies are needed to corroborate these findings and identify genetic variants associated with FS.
METHODS: We used a validated algorithm applied to electronic health records to identify individuals with FS in 6 international biobanks and hospital sites. We conducted a multisite FS genome-wide association study (GWAS) meta-analysis, including 10,910 FS cases (9040 predicted European ancestry [EA] and 1870 predicted African ancestry [AA]) and 664,500 (561,150 EA and 103,350 AA) control participants.
RESULTS: The EA meta-analysis identified significant single nucleotide polymorphism-based heritability on the liability scale of 2.21% (SE = 0.015%, p = 10-3; assumed FS prevalence = 0.14%), but no genome-wide significant loci. Nominal associations emerged from the EA GWAS within 16q23.3 (CDH13 intronic variant rs8056064, effect allele = A, z = -4.762, p = 1.92 × 10-6) and from the AA GWAS within 17q21.2 (rs34380994, effect allele = T, z = 5.28, p = 1.32 × 10-7). Significantly associated gene sets included magnesium ion transport, mitochondrial membrane complexes, and RNA polymerase II preinitiation complex assembly (Bonferroni-corrected p values = .0095, .012, and .03, respectively). MAGMA gene property analysis for tissue specificity showed significant enrichment of FS-associated genes within cerebellum-expressed genes (beta = 0.019, SE = 0.0059, p = 7.1 × 10-3).
CONCLUSIONS: To our knowledge, this is the first GWAS of FS, and our results support a genetic basis of FS. Future large-scale genetic research studies are needed to corroborate these findings and identify genetic variants associated with FS.