Outcomes and comorbidities of SCN1A-related seizure disorders

PURPOSE: Differentiating between Dravet syndrome and non-Dravet SCN1A-related phenotypes is important for prognosis regarding epilepsy severity, cognitive development, and comorbidities. When a child is diagnosed with genetic epilepsy with febrile seizures plus (GEFS+) or febrile seizures (FS), accurate prognostic information is essential as well, but detailed information on seizure course, seizure freedom, medication use, and comorbidities is lacking for this milder patient group. In this cross-sectional study, we explore disease characteristics in milder SCN1A-related phenotypes and the nature, occurrence, and relationships of SCN1A-related comorbidities in both patients with Dravet and non-Dravet syndromes. METHODS: A cohort of 164 Dutch participants with SCN1A-related seizures was evaluated, consisting of 116 patients with Dravet syndrome and 48 patients with either GEFS+, febrile seizures plus (FS+), or FS. Clinical data were collected from medical records, semi-structured telephone interviews, and three questionnaires: the Functional Mobility Scale (FMS), the Pediatric Quality of Life Inventory (PedsQL) Measurement Model, and the Child or Adult Behavior Checklists (CBCL/ABCL). RESULTS: Walking disabilities and severe behavioral problems affect 71% and 43% of patients with Dravet syndrome respectively and are almost never present in patients with non-Dravet syndromes. These comorbidities are strongly correlated to lower quality-of-life (QoL) scores. Less severe comorbidities occur in patients with non-Dravet syndromes: learning problems and psychological/behavioral problems are reported for 27% and 38% respectively. The average QoL score of the non-Dravet group was comparable with that of the general population. The majority of patients with non-Dravet syndromes becomes seizure-free after 10 years of age (85%). CONCLUSIONS: Severe behavioral problems and walking disabilities are common in patients with Dravet syndrome and should receive specific attention during clinical management. Although the epilepsy course of patients with non-Dravet syndromes is much more favorable, milder comorbidities frequently occur in this group as well. Our results may be of great value for clinical care and informing newly diagnosed patients and their parents about prognosis

Методы и механизмы геттерирования кремниевых структур в производстве интегральных микросхем

Увеличение степени интеграции элементной базы предъявляет все более жесткие требования к уменьшению концентрации загрязняющих примесей и окислительных дефектов упаковки в исходных кремниевых пластинах с ее сохранением в технологическом цикле изготовления ИМС. Это обуславливает высокую актуальность применения геттерирования в современной технологии микроэлектроники. В статье рассмотрены существующие методы геттерирования кремниевых пластин и механизмы их протекания.Збільшення ступеня інтеграції елементної бази пред'являє все більш жорсткі вимоги до зменшення концентрації забруднюючих домішок та окислювальних дефектів упаковки у вихідних кремнієвих пластинах за її збереження у технологічному циклі виготовлення ІМС. Це обумовлює високу актуальність застосування гетерування в сучасній технології мікроелектроніки. Розглянуто існуючі методи гетерування кремнієвих пластин та розглянуто механізми їх перебігу.Increasing the degree of integration of hardware components imposes more stringent requirements for the reduction of the concentration of contaminants and oxidation stacking faults in the original silicon wafers with its preservation in the IC manufacturing process cycle. This causes high relevance of the application of gettering in modern microelectronic technology. The existing methods of silicon wafers gettering and the mechanisms of their occurrence are considered

GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture

Epilepsy is a highly heritable disorder affecting over 50 million people worldwide, of which about one-third are resistant to current treatments. Here we report a multi-ancestry genome-wide association study including 29,944 cases, stratified into three broad categories and seven subtypes of epilepsy, and 52,538 controls. We identify 26 genome-wide significant loci, 19 of which are specific to genetic generalized epilepsy (GGE). We implicate 29 likely causal genes underlying these 26 loci. SNP-based heritability analyses show that common variants explain between 39.6% and 90% of genetic risk for GGE and its subtypes. Subtype analysis revealed markedly different genetic architectures between focal and generalized epilepsies. Gene-set analyses of GGE signals implicate synaptic processes in both excitatory and inhibitory neurons in the brain. Prioritized candidate genes overlap with monogenic epilepsy genes and with targets of current antiseizure medications. Finally, we leverage our results to identify alternate drugs with predicted efficacy if repurposed for epilepsy treatment

Global Perspective of images published in physical education textbooks

The aim of the present study is to determine the treatment given to the pictures of the body and physical activity in Physical Education’s textbooks for Primary School. The sample consists of 997 images of nine textbooks published by five publishers. A descriptive analysis was performed on the variables gender, age, race, and somatotype that refer to the body, and type, scope, space, and level of practice referred to physical activity. Results show that stereotypes still remain regarding the body and physical activity, emphasizing the male, white, thin and youth body that practices sports and motor skills. However, the scope and level of elitist physical activity disappeared from manuals, which is a first step in diversifying school physical activities

Outcomes and comorbidities of SCN1A-related seizure disorders

PURPOSE: Differentiating between Dravet syndrome and non-Dravet SCN1A-related phenotypes is important for prognosis regarding epilepsy severity, cognitive development, and comorbidities. When a child is diagnosed with genetic epilepsy with febrile seizures plus (GEFS+) or febrile seizures (FS), accurate prognostic information is essential as well, but detailed information on seizure course, seizure freedom, medication use, and comorbidities is lacking for this milder patient group. In this cross-sectional study, we explore disease characteristics in milder SCN1A-related phenotypes and the nature, occurrence, and relationships of SCN1A-related comorbidities in both patients with Dravet and non-Dravet syndromes. METHODS: A cohort of 164 Dutch participants with SCN1A-related seizures was evaluated, consisting of 116 patients with Dravet syndrome and 48 patients with either GEFS+, febrile seizures plus (FS+), or FS. Clinical data were collected from medical records, semi-structured telephone interviews, and three questionnaires: the Functional Mobility Scale (FMS), the Pediatric Quality of Life Inventory (PedsQL) Measurement Model, and the Child or Adult Behavior Checklists (CBCL/ABCL). RESULTS: Walking disabilities and severe behavioral problems affect 71% and 43% of patients with Dravet syndrome respectively and are almost never present in patients with non-Dravet syndromes. These comorbidities are strongly correlated to lower quality-of-life (QoL) scores. Less severe comorbidities occur in patients with non-Dravet syndromes: learning problems and psychological/behavioral problems are reported for 27% and 38% respectively. The average QoL score of the non-Dravet group was comparable with that of the general population. The majority of patients with non-Dravet syndromes becomes seizure-free after 10 years of age (85%). CONCLUSIONS: Severe behavioral problems and walking disabilities are common in patients with Dravet syndrome and should receive specific attention during clinical management. Although the epilepsy course of patients with non-Dravet syndromes is much more favorable, milder comorbidities frequently occur in this group as well. Our results may be of great value for clinical care and informing newly diagnosed patients and their parents about prognosis

Modifier genes in SCN1A-related epilepsy syndromes

Background: SCN1A is one of the most important epilepsy-related genes, with pathogenic variants leading to a range of phenotypes with varying disease severity. Different modifying factors have been hypothesized to influence SCN1A-related phenotypes. We investigate the presence of rare and more common variants in epilepsy-related genes as potential modifiers of SCN1A-related disease severity. Methods: 87 patients with SCN1A-related epilepsy were investigated. Whole-exome sequencing was performed by the Beijing Genomics Institute (BGI). Functional variants in 422 genes associated with epilepsy and/or neuronal excitability were investigated. Differences in proportions of variants between the epilepsy genes and four control gene sets were calculated, and compared to the proportions of variants in the same genes in the ExAC database. Results: Statistically significant excesses of variants in epilepsy genes were observed in the complete cohort and in the combined group of mildly and severely affected patients, particularly for variants with minor allele frequencies of <0.05. Patients with extreme phenotypes showed much greater excesses of epilepsy gene variants than patients with intermediate phenotypes. Conclusion: Our results indicate that relatively common variants in epilepsy genes, which would not necessarily be classified as pathogenic, may play a large role in modulating SCN1A phenotypes. They may modify the phenotypes of both severely and mildly affected patients. Our results may be a first step toward meaningful testing of modifier gene variants in regular diagnostics for individual patients, to provide a better estimation of disease severity for newly diagnosed patients

Influence of common SCN1A promoter variants on the severity of SCN1A-related phenotypes

BACKGROUND: Pathogenic variants in SCN1A cause variable epilepsy disorders with different disease severities. We here investigate whether common variation in the promoter region of the unaffected SCN1A allele could reduce normal expression, leading to a decreased residual function of Nav1.1, and therefore to more severe clinical outcomes in patients affected by pathogenic SCN1A variants. METHODS: Five different SCN1A promoter-haplotypes were functionally assessed in SH-SY5Y cells using Firefly and Renilla luciferase assays. The SCN1A promoter region was analyzed in a cohort of 143 participants with SCN1A pathogenic variants. Differences in clinical features and outcomes between participants with and without common variants in the SCN1A promoter-region of their unaffected allele were investigated. RESULTS: All non-wildtype haplotypes showed a significant reduction in luciferase expression, compared to the wildtype promoter-region (65%-80%, p = 0.039-0.0023). No statistically significant differences in clinical outcomes were observed between patients with and without common promoter variants. However, patients with a wildtype promoter-haplotype on their unaffected SCN1A allele showed a nonsignificant trend for milder phenotypes. CONCLUSION: The nonsignificant observed trends in our study warrant replication studies in larger cohorts to explore the potential modifying role of these common SCN1A promoter-haplotypes

Assessment of parental mosaicism in SCN1A -related epilepsy by single-molecule molecular inversion probes and next-generation sequencing

Background: Dravet syndrome is a severe genetic encephalopathy, caused by pathogenic variants in SCN1A. Low-grade parental mosaicism occurs in a substantial proportion of families (7%-13%) and has important implications for recurrence risks. However, parental mosaicism can remain undetected by methods regularly used in diagnostics. In this study, we use single-molecule molecular inversion probes (smMIP), a technique with high sensitivity for detecting low-grade mosaic variants and high cost-effectiveness, to investigate the incidence of parental mosaicism of SCN1A variants in a cohort of 90 families and assess the feasibility of this technique. Methods: Deep sequencing of SCN1A was performed using smMIPs. False positive rates for each of the proband's pathogenic variants were determined in 145 unrelated samples. If parents showed corresponding variant alleles at a significantly higher rate than the established noise ratio, mosaicism was confirmed by droplet digital PCR (ddPCR). Results: Sequence coverage of at least 100× at the location of the corresponding pathogenic variant was reached for 80 parent couples. The variant ratio was significantly higher than the established noise ratio in eight parent couples, of which four (5%) were regarded as true mosaics, based on ddPCR results. The false positive rate of smMIP analysis without ddPCR was therefore 50%. Three of these variants had previously been considered de novo in the proband by Sanger sequencing. Conclusion: smMIP technology combined withnext generation sequencing (NGS) performs better than Sanger sequencing in the detection of parental mosaicism. Because parental mosaicism has important implications for genetic counselling and recurrence risks, we stress the importance of implementing high-sensitivity NGS-based assays in standard diagnostics

Mosaicism of de novo pathogenic SCN1A variants in epilepsy is a frequent phenomenon that correlates with variable phenotypes

Objective: Phenotypes caused by de novo SCN1A pathogenic variants are very variable, ranging from severely affected patients with Dravet syndrome to much milder genetic epilepsy febrile seizures plus cases. The most important determinant of disease severity is the type of variant, with variants that cause a complete loss of function of the SCN1A protein (α-subunit of the neuronal sodium channel Nav1.1) being detected almost exclusively in Dravet syndrome patients. However, even within Dravet syndrome disease severity ranges greatly, and consequently other disease modifiers must exist. A better prediction of disease severity is very much needed in daily practice to improve counseling, stressing the importance of identifying modifying factors in this patient group. We evaluated 128 participants with de novo, pathogenic SCN1A variants to investigate whether mosaicism, caused by postzygotic mutation, is a major modifier in SCN1A-related epilepsy. Methods: Mosaicism was investigated by reanalysis of the pathogenic SCN1A variants using single molecule molecular inversion probes and next generation sequencing with high coverage. Allelic ratios of pathogenic variants were used to determine whether mosaicism was likely. Selected mosaic variants were confirmed by droplet digital polymerase chain reaction and sequencing of different tissues. Developmental outcome was classified based on available data on intelligence quotient and school functioning/education. Results: Mosaicism was present for 7.5% of de novo pathogenic SCN1A variants in symptomatic patients. Mosaic participants were less severely affected than nonmosaic participants if only participants with truncating variants are considered (distribution of developmental outcome scores, Mann-Whitney U, P =.023). Significance: Postzygotic mutation is a common phenomenon in SCN1A-related epilepsies. Participants with mosaicism have on average milder phenotypes, suggesting that mosaicism can be a major modifier of SCN1A-related diseases. Detection of mosaicism has important implications for genetic counseling and can be achieved by deep sequencing of unique reads

Mosaicism of de novo pathogenic SCN1A variants in epilepsy is a frequent phenomenon that correlates with variable phenotypes

Objective: Phenotypes caused by de novo SCN1A pathogenic variants are very variable, ranging from severely affected patients with Dravet syndrome to much milder genetic epilepsy febrile seizures plus cases. The most important determinant of disease severity is the type of variant, with variants that cause a complete loss of function of the SCN1A protein (α-subunit of the neuronal sodium channel Nav1.1) being detected almost exclusively in Dravet syndrome patients. However, even within Dravet syndrome disease severity ranges greatly, and consequently other disease modifiers must exist. A better prediction of disease severity is very much needed in daily practice to improve counseling, stressing the importance of identifying modifying factors in this patient group. We evaluated 128 participants with de novo, pathogenic SCN1A variants to investigate whether mosaicism, caused by postzygotic mutation, is a major modifier in SCN1A-related epilepsy. Methods: Mosaicism was investigated by reanalysis of the pathogenic SCN1A variants using single molecule molecular inversion probes and next generation sequencing with high coverage. Allelic ratios of pathogenic variants were used to determine whether mosaicism was likely. Selected mosaic variants were confirmed by droplet digital polymerase chain reaction and sequencing of different tissues. Developmental outcome was classified based on available data on intelligence quotient and school functioning/education. Results: Mosaicism was present for 7.5% of de novo pathogenic SCN1A variants in symptomatic patients. Mosaic participants were less severely affected than nonmosaic participants if only participants with truncating variants are considered (distribution of developmental outcome scores, Mann-Whitney U, P =.023). Significance: Postzygotic mutation is a common phenomenon in SCN1A-related epilepsies. Participants with mosaicism have on average milder phenotypes, suggesting that mosaicism can be a major modifier of SCN1A-related diseases. Detection of mosaicism has important implications for genetic counseling and can be achieved by deep sequencing of unique reads