Medicine (Austin & Northern Health) - Research Publications

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    Functional correlates of clinical phenotype and severity in recurrent SCN2A variants
    Berecki, G ; Howell, KB ; Heighway, J ; Olivier, N ; Rodda, J ; Overmars, I ; Vlaskamp, DRM ; Ware, TL ; Ardern-Holmes, S ; Lesca, G ; Alber, M ; Veggiotti, P ; Scheffer, IE ; Berkovic, SF ; Wolff, M ; Petrou, S (NATURE PORTFOLIO, 2022-05-30)
    In SCN2A-related disorders, there is an urgent demand to establish efficient methods for determining the gain- (GoF) or loss-of-function (LoF) character of variants, to identify suitable candidates for precision therapies. Here we classify clinical phenotypes of 179 individuals with 38 recurrent SCN2A variants as early-infantile or later-onset epilepsy, or intellectual disability/autism spectrum disorder (ID/ASD) and assess the functional impact of 13 variants using dynamic action potential clamp (DAPC) and voltage clamp. Results show that 36/38 variants are associated with only one phenotypic group (30 early-infantile, 5 later-onset, 1 ID/ASD). Unexpectedly, we revealed major differences in outcome severity between individuals with the same variant for 40% of early-infantile variants studied. DAPC was superior to voltage clamp in predicting the impact of mutations on neuronal excitability and confirmed GoF produces early-infantile phenotypes and LoF later-onset phenotypes. For one early-infantile variant, the co-expression of the α1 and β2 subunits of the Nav1.2 channel was needed to unveil functional impact, confirming the prediction of 3D molecular modeling. Neither DAPC nor voltage clamp reliably predicted phenotypic severity of early-infantile variants. Genotype, phenotypic group and DAPC are accurate predictors of the biophysical impact of SCN2A variants, but other approaches are needed to predict severity.
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    Association of ultra-rare coding variants with genetic generalized epilepsy: A case-control whole exome sequencing study
    Koko, M ; Motelow, JE ; Stanley, KE ; Bobbili, DR ; Dhindsa, RS ; May, P (WILEY, 2022-03)
    OBJECTIVE: We aimed to identify genes associated with genetic generalized epilepsy (GGE) by combining large cohorts enriched with individuals with a positive family history. Secondarily, we set out to compare the association of genes independently with familial and sporadic GGE. METHODS: We performed a case-control whole exome sequencing study in unrelated individuals of European descent diagnosed with GGE (previously recruited and sequenced through multiple international collaborations) and ancestry-matched controls. The association of ultra-rare variants (URVs; in 18 834 protein-coding genes) with epilepsy was examined in 1928 individuals with GGE (vs. 8578 controls), then separately in 945 individuals with familial GGE (vs. 8626 controls), and finally in 1005 individuals with sporadic GGE (vs. 8621 controls). We additionally examined the association of URVs with familial and sporadic GGE in two gene sets important for inhibitory signaling (19 genes encoding γ-aminobutyric acid type A [GABAA ] receptors, 113 genes representing the GABAergic pathway). RESULTS: GABRG2 was associated with GGE (p = 1.8 × 10-5 ), approaching study-wide significance in familial GGE (p = 3.0 × 10-6 ), whereas no gene approached a significant association with sporadic GGE. Deleterious URVs in the most intolerant subgenic regions in genes encoding GABAA receptors were associated with familial GGE (odds ratio [OR] = 3.9, 95% confidence interval [CI] = 1.9-7.8, false discovery rate [FDR]-adjusted p = .0024), whereas their association with sporadic GGE had marginally lower odds (OR = 3.1, 95% CI = 1.3-6.7, FDR-adjusted p = .022). URVs in GABAergic pathway genes were associated with familial GGE (OR = 1.8, 95% CI = 1.3-2.5, FDR-adjusted p = .0024) but not with sporadic GGE (OR = 1.3, 95% CI = .9-1.9, FDR-adjusted p = .19). SIGNIFICANCE: URVs in GABRG2 are likely an important risk factor for familial GGE. The association of gene sets of GABAergic signaling with familial GGE is more prominent than with sporadic GGE.
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    Diverse genetic causes of polymicrogyria with epilepsy
    Allen, AS ; Aggarwal, V ; Berkovic, SF ; Cossette, P ; Delanty, N ; Dlugos, D ; Eichler, EE ; Epstein, MP ; Freyer, C ; Goldstein, DB ; Guerrini, R ; Glauser, T ; Heinzen, EL ; Johnson, MR ; Kuzniecky, R ; Lowenstein, DH ; Marson, AG ; Mefford, HC ; O'Brien, TJ ; Ottman, R ; Poduri, A ; Petrou, S ; Petrovski, S ; Ruzzo, EK ; Scheffer, IE ; Sherr, EH ; Abou-Khalil, B ; Amrom, D ; Andermann, E ; Andermann, F ; Berkovic, SF ; Bluvstein, J ; Boro, A ; Cascino, G ; Consalvo, D ; Crumrine, P ; Devinsky, O ; Dlugos, D ; Fountain, N ; Freyer, C ; Friedman, D ; Geller, E ; Glynn, S ; Haas, K ; Haut, S ; Joshi, S ; Kirsch, H ; Knowlton, R ; Kossoff, E ; Kuzniecky, R ; Lowenstein, DH ; Motika, PV ; Ottman, R ; Paolicchi, JM ; Parent, JM ; Poduri, A ; Scheffer, IE ; Shellhaas, RA ; Sherr, EH ; Shih, JJ ; Shinnar, S ; Singh, RK ; Sperling, M ; Smith, MC ; Sullivan, J ; Vining, EPG ; Von Allmen, GK ; Widdess-Walsh, P ; Winawer, MR ; Bautista, J ; Fiol, M ; Glauser, T ; Hayward, J ; Helmers, S ; Park, K ; Sirven, J ; Thio, LL ; Venkat, A ; Weisenberg, J ; Kuperman, R ; McGuire, S ; Novotny, E ; Sadleir, L (WILEY, 2021-04)
    OBJECTIVE: We sought to identify novel genes and to establish the contribution of known genes in a large cohort of patients with nonsyndromic sporadic polymicrogyria and epilepsy. METHODS: We enrolled participants with polymicrogyria and their parents through the Epilepsy Phenome/Genome Project. We performed phenotyping and whole exome sequencing (WES), trio analysis, and gene-level collapsing analysis to identify de novo or inherited variants, including germline or mosaic (postzygotic) single nucleotide variants, small insertion-deletion (indel) variants, and copy number variants present in leukocyte-derived DNA. RESULTS: Across the cohort of 86 individuals with polymicrogyria and epilepsy, we identified seven with pathogenic or likely pathogenic variants in PIK3R2, including four germline and three mosaic variants. PIK3R2 was the only gene harboring more than expected de novo variants across the entire cohort, and likewise the only gene that passed the genome-wide threshold of significance in the gene-level rare variant collapsing analysis. Consistent with previous reports, the PIK3R2 phenotype consisted of bilateral polymicrogyria concentrated in the perisylvian region with macrocephaly. Beyond PIK3R2, we also identified one case each with likely causal de novo variants in CCND2 and DYNC1H1 and biallelic variants in WDR62, all genes previously associated with polymicrogyria. Candidate genetic explanations in this cohort included single nucleotide de novo variants in other epilepsy-associated and neurodevelopmental disease-associated genes (SCN2A in two individuals, GRIA3, CACNA1C) and a 597-kb deletion at 15q25, a neurodevelopmental disease susceptibility locus. SIGNIFICANCE: This study confirms germline and postzygotically acquired de novo variants in PIK3R2 as an important cause of bilateral perisylvian polymicrogyria, notably with macrocephaly. In total, trio-based WES identified a genetic diagnosis in 12% and a candidate diagnosis in 6% of our polymicrogyria cohort. Our results suggest possible roles for SCN2A, GRIA3, CACNA1C, and 15q25 deletion in polymicrogyria, each already associated with epilepsy or other neurodevelopmental conditions without brain malformations. The role of these genes in polymicrogyria will be further understood as more patients with polymicrogyria undergo genetic evaluation.