Medicine (Austin & Northern Health) - Research Publications

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    Gain-of-function HCN2 variants in genetic epilepsy
    Li, M ; Maljevic, S ; Phillips, AM ; Petrovski, S ; Hildebrand, MS ; Burgess, R ; Mount, T ; Zara, F ; Striano, P ; Schubert, J ; Thiele, H ; Nuernberg, P ; Wong, M ; Weisenberg, JL ; Thio, LL ; Lerche, H ; Scheffer, IE ; Berkovic, SF ; Petrou, S ; Reid, CA (WILEY, 2018-02)
    Genetic generalized epilepsy (GGE) is a common epilepsy syndrome that encompasses seizure disorders characterized by spike-and-wave discharges (SWDs). Pacemaker hyperpolarization-activated cyclic nucleotide-gated channels (HCN) are considered integral to SWD genesis, making them an ideal gene candidate for GGE. We identified HCN2 missense variants from a large cohort of 585 GGE patients, recruited by the Epilepsy Phenome-Genome Project (EPGP), and performed functional analysis using two-electrode voltage clamp recordings from Xenopus oocytes. The p.S632W variant was identified in a patient with idiopathic photosensitive occipital epilepsy and segregated in the family. This variant was also independently identified in an unrelated patient with childhood absence seizures from a European cohort of 238 familial GGE cases. The p.V246M variant was identified in a patient with photo-sensitive GGE and his father diagnosed with juvenile myoclonic epilepsy. Functional studies revealed that both p.S632W and p.V246M had an identical functional impact including a depolarizing shift in the voltage dependence of activation that is consistent with a gain-of-function. In contrast, no biophysical changes resulted from the introduction of common population variants, p.E280K and p.A705T, and the p.R756C variant from EPGP that did not segregate with disease. Our data suggest that HCN2 variants can confer susceptibility to GGE via a gain-of-function mechanism.
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    Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies
    Abou-Khalil, B ; Afawi, Z ; Allen, AS ; Bautista, JF ; Bellows, ST ; Berkovic, SF ; Bluvstein, J ; Burgess, R ; Cascino, G ; Cossette, P ; Cristofaro, S ; Crompton, DE ; Delanty, N ; Devinsky, O ; Dlugos, D ; Ellis, CA ; Epstein, MP ; Fountain, NB ; Freyer, C ; Geller, EB ; Glauser, T ; Glynn, S ; Goldberg-Stern, H ; Goldstein, DB ; Gravel, M ; Haas, K ; Haut, S ; Heinzen, EL ; Kirsch, HE ; Kivity, S ; Knowlton, R ; Korczyn, AD ; Kossoff, E ; Kuzniecky, R ; Loeb, R ; Lowenstein, DH ; Marson, AG ; McCormack, M ; McKenna, K ; Mefford, HC ; Motika, P ; Mullen, SA ; O'Brien, TJ ; Ottman, R ; Paolicchi, J ; Parent, JM ; Paterson, S ; Petrou, S ; Petrovski, S ; Pickrell, WO ; Poduri, A ; Rees, MI ; Sadleir, LG ; Scheffer, IE ; Shih, J ; Singh, R ; Sirven, J ; Smith, M ; Smith, PEM ; Thio, LL ; Thomas, RH ; Venkat, A ; Vining, E ; Von Allmen, G ; Weisenberg, J ; Widdess-Walsh, P ; Winawer, MR (WILEY, 2019-11)
    OBJECTIVE: Classification of epilepsy into types and subtypes is important for both clinical care and research into underlying disease mechanisms. A quantitative, data-driven approach may augment traditional electroclinical classification and shed new light on existing classification frameworks. METHODS: We used latent class analysis, a statistical method that assigns subjects into groups called latent classes based on phenotypic elements, to classify individuals with common familial epilepsies from the Epi4K Multiplex Families study. Phenotypic elements included seizure types, seizure symptoms, and other elements of the medical history. We compared class assignments to traditional electroclinical classifications and assessed familial aggregation of latent classes. RESULTS: A total of 1120 subjects with epilepsy were assigned to five latent classes. Classes 1 and 2 contained subjects with generalized epilepsy, largely reflecting the distinction between absence epilepsies and younger onset (class 1) versus myoclonic epilepsies and older onset (class 2). Classes 3 and 4 contained subjects with focal epilepsies, and in contrast to classes 1 and 2, these did not adhere as closely to clinically defined focal epilepsy subtypes. Class 5 contained nearly all subjects with febrile seizures plus or unknown epilepsy type, as well as a few subjects with generalized epilepsy and a few with focal epilepsy. Family concordance of latent classes was similar to or greater than concordance of clinically defined epilepsy types. SIGNIFICANCE: Quantitative classification of epilepsy has the potential to augment traditional electroclinical classification by (1) combining some syndromes into a single class, (2) splitting some syndromes into different classes, (3) helping to classify subjects who could not be classified clinically, and (4) defining the boundaries of clinically defined classifications. This approach can guide future research, including molecular genetic studies, by identifying homogeneous sets of individuals that may share underlying disease mechanisms.
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    Copy number variant analysis from exome data in 349 patients with epileptic encephalopathy
    Abou-Khalil, B ; Alldredge, BK ; Allen, AS ; Andermann, E ; Andermann, F ; Amrom, D ; Bautista, JF ; Berkovic, SF ; Boro, A ; Cascino, G ; Coe, BP ; Consalvo, D ; Cook, J ; Cossette, P ; Crumrine, P ; Delanty, N ; Devinsky, O ; Dlugos, D ; Eichler, EE ; Epstein, MP ; Fiol, M ; Fountain, NB ; French, J ; Friedman, D ; Geller, EB ; Glauser, T ; Glynn, S ; Goldstein, DB ; Haut, SR ; Hayward, J ; Heinzen, EL ; Helmers, SL ; Johnson, MR ; Joshi, S ; Kanner, A ; Kirsch, HE ; Knowlton, RC ; Kossoff, EH ; Krumm, N ; Kuperman, R ; Kuzniecky, R ; Lowenstein, DH ; Marson, AG ; McGuire, SM ; Mefford, HC ; Motika, PV ; Nelson, B ; Nieh, SE ; Novotny, EJ ; O'Brien, TJ ; Ottman, R ; Paolicchi, JM ; Parent, J ; Park, K ; Petrou, S ; Petrovski, S ; Poduri, A ; Raja, A ; Ruzzo, EK ; Scheffer, IE ; Shellhaas, RA ; Sherr, E ; Shih, JJ ; Singh, R ; Sirven, J ; Smith, MC ; Sullivan, J ; Liu, LT ; Venkat, A ; Vining, EPG ; Von Allmen, GK ; Weisenberg, JL ; Widdess-Walsh, P ; Winawer, MR (WILEY, 2015-08)
    Infantile spasms (IS) and Lennox-Gastaut syndrome (LGS) are epileptic encephalopathies characterized by early onset, intractable seizures, and poor developmental outcomes. De novo sequence mutations and copy number variants (CNVs) are causative in a subset of cases. We used exome sequence data in 349 trios with IS or LGS to identify putative de novo CNVs. We confirm 18 de novo CNVs in 17 patients (4.8%), 10 of which are likely pathogenic, giving a firm genetic diagnosis for 2.9% of patients. Confirmation of exome-predicted CNVs by array-based methods is still required due to false-positive rates of prediction algorithms. Our exome-based results are consistent with recent array-based studies in similar cohorts and highlight novel candidate genes for IS and LGS.
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    PRIMA1 mutation: a new cause of nocturnal frontal lobe epilepsy
    Hildebrand, MS ; Tankard, R ; Gazina, EV ; Damiano, JA ; Lawrence, KM ; Dahl, H-HM ; Regan, BM ; Shearer, AE ; Smith, RJH ; Marini, C ; Guerrini, R ; Labate, A ; Gambardella, A ; Tinuper, P ; Lichetta, L ; Baldassari, S ; Bisulli, F ; Pippucci, T ; Scheffer, IE ; Reid, CA ; Petrou, S ; Bahlo, M ; Berkovic, SF (WILEY, 2015-08)
    OBJECTIVE: Nocturnal frontal lobe epilepsy (NFLE) can be sporadic or autosomal dominant; some families have nicotinic acetylcholine receptor subunit mutations. We report a novel autosomal recessive phenotype in a single family and identify the causative gene. METHODS: Whole exome sequencing data was used to map the family, thereby narrowing exome search space, and then to identify the mutation. RESULTS: Linkage analysis using exome sequence data from two affected and two unaffected subjects showed homozygous linkage peaks on chromosomes 7, 8, 13, and 14 with maximum LOD scores between 1.5 and 1.93. Exome variant filtering under these peaks revealed that the affected siblings were homozygous for a novel splice site mutation (c.93+2T>C) in the PRIMA1 gene on chromosome 14. No additional PRIMA1 mutations were found in 300 other NFLE cases. The c.93+2T>C mutation was shown to lead to skipping of the first coding exon of the PRIMA1 mRNA using a minigene system. INTERPRETATION: PRIMA1 is a transmembrane protein that anchors acetylcholinesterase (AChE), an enzyme hydrolyzing acetycholine, to membrane rafts of neurons. PRiMA knockout mice have reduction of AChE and accumulation of acetylcholine at the synapse; our minigene analysis suggests that the c.93+2T>C mutation leads to knockout of PRIMA1. Mutations with gain of function effects in acetylcholine receptor subunits cause autosomal dominant NFLE. Thus, enhanced cholinergic responses are the likely cause of the severe NFLE and intellectual disability segregating in this family, representing the first recessive case to be reported and the first PRIMA1 mutation implicated in disease.
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    Clinical and molecular characterization of KCNT1-related severe early-onset epilepsy
    McTague, A ; Nair, U ; Malhotra, S ; Meyer, E ; Trump, N ; Gazina, EV ; Papandreou, A ; Ngoh, A ; Ackermann, S ; Ambegaonkar, G ; Appleton, R ; Desurkar, A ; Eltze, C ; Kneen, R ; Kumar, AV ; Lascelles, K ; Montgomery, T ; Ramesh, V ; Samanta, R ; Scott, RH ; Tan, J ; Whitehouse, W ; Poduri, A ; Scheffer, IE ; Chong, WKK ; Cross, JH ; Topf, M ; Petrou, S ; Kurian, MA (LIPPINCOTT WILLIAMS & WILKINS, 2018-01-02)
    OBJECTIVE: To characterize the phenotypic spectrum, molecular genetic findings, and functional consequences of pathogenic variants in early-onset KCNT1 epilepsy. METHODS: We identified a cohort of 31 patients with epilepsy of infancy with migrating focal seizures (EIMFS) and screened for variants in KCNT1 using direct Sanger sequencing, a multiple-gene next-generation sequencing panel, and whole-exome sequencing. Additional patients with non-EIMFS early-onset epilepsy in whom we identified KCNT1 variants on local diagnostic multiple gene panel testing were also included. When possible, we performed homology modeling to predict the putative effects of variants on protein structure and function. We undertook electrophysiologic assessment of mutant KCNT1 channels in a xenopus oocyte model system. RESULTS: We identified pathogenic variants in KCNT1 in 12 patients, 4 of which are novel. Most variants occurred de novo. Ten patients had a clinical diagnosis of EIMFS, and the other 2 presented with early-onset severe nocturnal frontal lobe seizures. Three patients had a trial of quinidine with good clinical response in 1 patient. Computational modeling analysis implicates abnormal pore function (F346L) and impaired tetramer formation (F502V) as putative disease mechanisms. All evaluated KCNT1 variants resulted in marked gain of function with significantly increased channel amplitude and variable blockade by quinidine. CONCLUSIONS: Gain-of-function KCNT1 pathogenic variants cause a spectrum of severe focal epilepsies with onset in early infancy. Currently, genotype-phenotype correlations are unclear, although clinical outcome is poor for the majority of cases. Further elucidation of disease mechanisms may facilitate the development of targeted treatments, much needed for this pharmacoresistant genetic epilepsy.
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    Development of a rapid functional assay that predicts GLUT1 disease severity
    Zaman, SM ; Mullen, SA ; Petrovski, S ; Maljevic, S ; Gazina, E ; Phillips, AM ; Jones, GD ; Hildebrand, MS ; Damiano, J ; Auvin, S ; Lerche, H ; Weber, YG ; Berkovic, SF ; Scheffer, IE ; Reid, CA ; Petrou, S (LIPPINCOTT WILLIAMS & WILKINS, 2018-12)
    OBJECTIVE: To examine the genotype to phenotype connection in glucose transporter type 1 (GLUT1) deficiency and whether a simple functional assay can predict disease outcome from genetic sequence alone. METHODS: GLUT1 deficiency, due to mutations in SLC2A1, causes a wide range of epilepsies. One possible mechanism for this is variable impact of mutations on GLUT1 function. To test this, we measured glucose transport by GLUT1 variants identified in population controls and patients with mild to severe epilepsies. Controls were reference sequence from the NCBI and 4 population missense variants chosen from public reference control databases. Nine variants associated with epilepsies or movement disorders, with normal intellect in all individuals, formed the mild group. The severe group included 5 missense variants associated with classical GLUT1 encephalopathy. GLUT1 variants were expressed in Xenopus laevis oocytes, and glucose uptake was measured to determine kinetics (Vmax) and affinity (Km). RESULTS: Disease severity inversely correlated with rate of glucose transport between control (Vmax = 28 ± 5), mild (Vmax = 16 ± 3), and severe (Vmax = 3 ± 1) groups, respectively. Affinities of glucose binding in control (Km = 55 ± 18) and mild (Km = 43 ± 10) groups were not significantly different, whereas affinity was indeterminate in the severe group because of low transport rates. Simplified analysis of glucose transport at high concentration (100 mM) was equally effective at separating the groups. CONCLUSIONS: Disease severity can be partly explained by the extent of GLUT1 dysfunction. This simple Xenopus oocyte assay complements genetic and clinical assessments. In prenatal diagnosis, this simple oocyte glucose uptake assay could be useful because standard clinical assessments are not available.
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    Human GABRG2 generalized epilepsy Increased somatosensory and striatothalamic connectivity
    Pedersen, M ; Kowalczyk, M ; Omidvarnia, A ; Perucca, P ; Gooley, S ; Petrou, S ; Scheffer, IE ; Berkovic, SF ; Jackson, GD (LIPPINCOTT WILLIAMS & WILKINS, 2019-08)
    OBJECTIVE: To map functional MRI (fMRI) connectivity within and between the somatosensory cortex, putamen, and ventral thalamus in individuals from a family with a GABAergic deficit segregating with febrile seizures and genetic generalized epilepsy. METHODS: We studied 5 adults from a family with early-onset absence epilepsy and/or febrile seizures and a GABAA receptor subunit gamma2 pathogenic variant (GABRG2[R43Q]) vs 5 age-matched controls. We infer differences between participants with the GABRG2 pathogenic variant and controls in resting-state fMRI connectivity within and between the somatosensory cortex, putamen, and ventral thalamus. RESULTS: We observed increased fMRI connectivity within the somatosensory cortex and between the putamen and ventral thalamus in all individuals with the GABRG2 pathogenic variant compared with controls. Post hoc analysis showed less pronounced changes in fMRI connectivity within and between the primary visual cortex and precuneus. CONCLUSIONS: Although our sample size was small, this preliminary study suggests that individuals with a GABRG2 pathogenic variant, raising risk of febrile seizures and generalized epilepsy, display underlying increased functional connectivity both within the somatosensory cortex and in striatothalamic networks. This human network model aligns with rodent research and should be further validated in larger cohorts, including other individuals with generalized epilepsy with and without known GABA pathogenic variants.
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    A variant of KCC2 from patients with febrile seizures impairs neuronal Cl- extrusion and dendritic spine formation
    Puskarjov, M ; Seja, P ; Heron, SE ; Williams, TC ; Ahmad, F ; Iona, X ; Oliver, KL ; Grinton, BE ; Vutskits, L ; Scheffer, IE ; Petrou, S ; Blaesse, P ; Dibbens, LM ; Berkovic, SF ; Kaila, K (WILEY-BLACKWELL, 2014-06)
    Genetic variation in SLC12A5 which encodes KCC2, the neuron-specific cation-chloride cotransporter that is essential for hyperpolarizing GABAergic signaling and formation of cortical dendritic spines, has not been reported in human disease. Screening of SLC12A5 revealed a co-segregating variant (KCC2-R952H) in an Australian family with febrile seizures. We show that KCC2-R952H reduces neuronal Cl(-) extrusion and has a compromised ability to induce dendritic spines in vivo and in vitro. Biochemical analyses indicate a reduced surface expression of KCC2-R952H which likely contributes to the functional deficits. Our data suggest that KCC2-R952H is a bona fide susceptibility variant for febrile seizures.
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    Dominant KCNA2 mutation causes episodic ataxia and pharmacoresponsive epilepsy
    Corbett, MA ; Bellows, ST ; Li, M ; Carroll, R ; Micallef, S ; Carvill, GL ; Myers, CT ; Howell, KB ; Maljevic, S ; Lerche, H ; Gazina, EV ; Mefford, HC ; Bahlo, M ; Berkovic, SF ; Petrou, S ; Scheffer, IE ; Gecz, J (LIPPINCOTT WILLIAMS & WILKINS, 2016-11-08)
    OBJECTIVE: To identify the genetic basis of a family segregating episodic ataxia, infantile seizures, and heterogeneous epilepsies and to study the phenotypic spectrum of KCNA2 mutations. METHODS: A family with 7 affected individuals over 3 generations underwent detailed phenotyping. Whole genome sequencing was performed on a mildly affected grandmother and her grandson with epileptic encephalopathy (EE). Segregating variants were filtered and prioritized based on functional annotations. The effects of the mutation on channel function were analyzed in vitro by voltage clamp assay and in silico by molecular modeling. KCNA2 was sequenced in 35 probands with heterogeneous phenotypes. RESULTS: The 7 family members had episodic ataxia (5), self-limited infantile seizures (5), evolving to genetic generalized epilepsy (4), focal seizures (2), and EE (1). They had a segregating novel mutation in the shaker type voltage-gated potassium channel KCNA2 (CCDS_827.1: c.765_773del; p.255_257del). A rare missense SCN2A (rs200884216) variant was also found in 2 affected siblings and their unaffected mother. The p.255_257del mutation caused dominant negative loss of channel function. Molecular modeling predicted repositioning of critical arginine residues in the voltage-sensing domain. KCNA2 sequencing revealed 1 de novo mutation (CCDS_827.1: c.890G>A; p.Arg297Gln) in a girl with EE, ataxia, and tremor. CONCLUSIONS: A KCNA2 mutation caused dominantly inherited episodic ataxia, mild infantile-onset seizures, and later generalized and focal epilepsies in the setting of normal intellect. This observation expands the KCNA2 phenotypic spectrum from EE often associated with chronic ataxia, reflecting the marked variation in severity observed in many ion channel disorders.
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    A targeted resequencing gene panel for focal epilepsy
    Hildebrand, MS ; Myers, CT ; Carvill, GL ; Regan, BM ; Damiano, JA ; Mullen, SA ; Newton, MR ; Nair, U ; Gazina, EV ; Milligan, CJ ; Reid, CA ; Petrou, S ; Scheffer, IE ; Berkovic, SF ; Mefford, HC (LIPPINCOTT WILLIAMS & WILKINS, 2016-04-26)
    OBJECTIVES: We report development of a targeted resequencing gene panel for focal epilepsy, the most prevalent phenotypic group of the epilepsies. METHODS: The targeted resequencing gene panel was designed using molecular inversion probe (MIP) capture technology and sequenced using massively parallel Illumina sequencing. RESULTS: We demonstrated proof of principle that mutations can be detected in 4 previously genotyped focal epilepsy cases. We searched for both germline and somatic mutations in 251 patients with unsolved sporadic or familial focal epilepsy and identified 11 novel or very rare missense variants in 5 different genes: CHRNA4, GRIN2B, KCNT1, PCDH19, and SCN1A. Of these, 2 were predicted to be pathogenic or likely pathogenic, explaining ∼0.8% of the cohort, and 8 were of uncertain significance based on available data. CONCLUSIONS: We have developed and validated a targeted resequencing panel for focal epilepsies, the most important clinical class of epilepsies, accounting for about 60% of all cases. Our application of MIP technology is an innovative approach that will be advantageous in the clinical setting because it is highly sensitive, efficient, and cost-effective for screening large patient cohorts. Our findings indicate that mutations in known genes likely explain only a small proportion of focal epilepsy cases. This is not surprising given the established clinical and genetic heterogeneity of these disorders and underscores the importance of further gene discovery studies in this complex syndrome.