Literature DB >> 34109749

CHD4 variants are associated with childhood idiopathic epilepsy with sinus arrhythmia.

Xiao-Rong Liu1, Ting-Ting Ye1, Wen-Jun Zhang1, Xuan Guo1, Jie Wang1, Shao-Ping Huang2, Long-Shan Xie3, Xing-Wang Song1, Wei-Wen Deng1, Bing-Mei Li1, Na He1, Qian-Yi Wu1, Min-Zhi Zhuang1, Meng Xu1, Yi-Wu Shi1, Tao Su1, Yong-Hong Yi1, Wei-Ping Liao1.   

Abstract

AIMS: CHD4 gene, encoding chromodomain helicase DNA-binding protein 4, is a vital gene for fetal development. In this study, we aimed to explore the association between CHD4 variants and idiopathic epilepsy.
METHODS: Trios-based whole-exome sequencing was performed in a cohort of 482 patients with childhood idiopathic epilepsy. The Clinical Validity Framework of ClinGen and an evaluating method from five clinical-genetic aspects were used to determine the association between CHD4 variants and epilepsy.
RESULTS: Four novel heterozygous missense mutations in CHD4, including two de novo mutations (c.1597A>G/p.K533E and c.4936G>A/p.E1646K) and two inherited mutations with co-segregation (c.856C>G/p.P286A and c.4977C>G/p.D1659E), were identified in four unrelated families with eight individuals affected. Seven affected individuals had sinus arrhythmia. From the molecular sub-regional point of view, the missense mutations located in the central regions from SNF2-like region to DUF1087 domain were associated with multisystem developmental disorders, while idiopathic epilepsy-related mutations were outside this region. Strong evidence from ClinGen Clinical Validity Framework and evidences from four of the five clinical-genetic aspects suggested an association between CHD4 variants and epilepsy.
CONCLUSIONS: CHD4 was potentially a candidate pathogenic gene of childhood idiopathic epilepsy with arrhythmia. The molecular sub-regional effect of CHD4 mutations helped explaining the mechanisms underlying phenotypic variations.
© 2021 The Authors. CNS Neuroscience & Therapeutics Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CHD4 gene; childhood idiopathic epilepsy; sinus arrhythmia

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Year:  2021        PMID: 34109749      PMCID: PMC8446219          DOI: 10.1111/cns.13692

Source DB:  PubMed          Journal:  CNS Neurosci Ther        ISSN: 1755-5930            Impact factor:   5.243


INTRODUCTION

CHD4 gene (OMIM* 603277) encodes chromodomain helicase DNA‐binding protein 4 (CHD4), which belongs to the SNF2/RAD54 helicase family. It is an ATP‐dependent chromatin remodeler that is involved in epigenetic regulation of gene transcription, DNA repair, and cell cycle progression. CHD4 is ubiquitously expressed across the whole lifespan, including brain. Homozygous knockout of CHD4 in mice resulted in embryonic lethality with abnormal extraembryonic tissue physiology, absent blastocoele, and increased apoptosis. In humans, CHD4 mutations were initially regarded to increase the risk of cancer. Lately, CHD4 mutations have been reported to be associated with Sifrim‐Hitz‐Weiss syndrome (SIHIWES) (OMIM# 617159), which is an autosomal dominant intellectual developmental disorder with variable congenital defects involving cardiac, skeletal, and urogenital systems., CHD4 mutations have also been detected in the patients with neurodevelopmental disorders, Rett syndrome, schizophrenia, and pituitary stalk interruption syndrome, among whom rare cases presented epilepsy., , , However, the role of CHD4 in epilepsy remains largely unknown. In this study, we performed trios‐based whole‐exome sequencing (WES) in a cohort of childhood epilepsy without acquired causes. Four novel CHD4 mutations were identified in four unrelated families of childhood idiopathic epilepsy with sinus arrhythmia, suggesting that CHD4 was potentially a candidate causative gene of epilepsy with arrhythmia. We further systematically reviewed all CHD4 mutations and their corresponding phenotypes, aiming to explore the mechanisms underlying phenotypic variations.

MATERIALS AND METHODS

Subjects

A total of 482 patients with childhood unexplained epilepsy were recruited for genetic screening during January 2013–June 2020. Seizure and epilepsy were diagnosed and classified according to the proposals by International League Against Epilepsy., , , he collected clinical data included semiology, evolution of the disorders, family histories, and the data of management. Video‐EEG recordings with ECG electrodes were obtained to confirm the diagnosis of epilepsy. Echocardiography was performed for the patients with the cardiac symptoms and/or arrhythmia during EEG monitoring. Brain magnetic resonance imaging (MRI) was conducted to exclude symptomatic epilepsy. Patients with acquired etiologies, such as tumor, trauma, infection, immunity, and stroke, were excluded. All the patients were followed up for at least one year. The studies adhered to the guidelines of the International Committee of Medical Journal Editors with regard to patient consent for research or participation and received approval from the Ethics Committee of the Second Affiliated Hospital of Guangzhou Medical University. All participants provided written informed consents.

Identification of gene variants

The blood samples were obtained from the probands, their parents, and other available family members. Genomic DNA was extracted from peripheral blood using a QuickGene DNA whole blood kit (Fujifilm). Trios‐WES was conducted on the Illumina HiSeq 2500/4000 platform by BGI‐Shenzhen as previously reported. Population‐based filtration removed common variants presenting minor allele frequency ≥0.005 in the 1000 Genomes Projects, Exome Aggregation Consortium, and Genome Aggregation Database (gnomAD). Then, we retained potentially pathogenic variants containing frameshift, nonsense, canonical splice site, initiation codon, and missense mutations predicted as being damaging by in silico tools (http://varcards.biols.ac.cn/). The potential disease‐causing mutations in each case were screened under five models: epilepsy‐associated gene model, dominant/de novo model, autosomal recessive inheritance model, X‐linked model, and co‐segregation analysis model. After excluding the known epilepsy‐associated genes, the genes with de novo mutations, bi‐allelic mutations, hemizygous mutations, and mutations with segregations were selected for further studies to validate as possible novel epilepsy genes. The candidate variants were validated by Sanger sequencing. Potential pathogenic variants were predicted by multiple in silico prediction tools (http://www. varcards.biols.ac.cn/). Conservation of mutated positions was evaluated using sequence alignment of different species. All CHD4 variants were annotated based on the transcript NM_001273.3.

Computational modeling

To evaluate the pathogenicity of candidate variants, the structure of CHD4 was modeled to predict the effect of missense mutations on protein structure by using SWISS‐MODEL (https://swissmodel.expasy.org/). PyMOL 2.3 software was used for three‐dimensional protein structure visualization and analysis.

Statistical analysis

R statistical software (v3.4.1) was used for statistical analysis. The frequency of the CHD4 variants in general population and in the cohort of childhood idiopathic epilepsy was compared by Fisher's exact test. A p value of < 0.05 was considered to be statistically significant.

Evaluating CHD4 gene as a novel candidate epilepsy gene

To explore the genotype‐phenotype association, publications on CHD4 mutations and related phenotypes were retrieved from the PubMed database till March 2020. Their molecular location and clinical data were systematically analyzed. We further used the Clinical Validity Framework that was developed by Clinical Genome Resource (ClinGen) to evaluate CHD4 as a novel candidate epilepsy gene. We also evaluated epilepsy as a novel phenotype of CHD4 variants from five clinical‐genetic aspects as we proposed recently.

RESULTS

Identification of CHD4 mutations

Four novel heterozygous missense CHD4 mutations were identified in four unrelated families with childhood idiopathic epilepsy, including two de novo mutations (c.1597A>G/p.K533E and c.4936G>A/p.E1646K) and two inherited mutations with co‐segregation within the families (c.856C>G/p.P286A and c.4977C>G/p.D1659E) (Figure 1A and 1B). The amino acid sequence alignment showed that all the four residues were highly conserved across higher vertebrates (Figure 1C). These mutations were predicted to be damaging by multiple in silico prediction tools (Table S1). All cases had no other pathogenic or likely pathogenic mutations in the 977 genes known to be associated with seizure disorders.
FIGURE 1

Genetic data on the patients with childhood idiopathic epilepsy with CHD4 mutations. (A) Pedigrees of the four cases with CHD4 mutations and their corresponding phenotypes. FS: febrile seizures; EFS+: epilepsy with febrile seizures; CAE: childhood absence epilepsy; BECTS: benign childhood epilepsy with centrotemporal EEG spikes. (B) DNA sequence chromatogram of the CHD4 mutations. Arrows indicate the positions of the mutations. (C) The amino acid sequence alignment of the four missense mutations shows that the residues are highly conserved across vertebrates

Genetic data on the patients with childhood idiopathic epilepsy with CHD4 mutations. (A) Pedigrees of the four cases with CHD4 mutations and their corresponding phenotypes. FS: febrile seizures; EFS+: epilepsy with febrile seizures; CAE: childhood absence epilepsy; BECTS: benign childhood epilepsy with centrotemporal EEG spikes. (B) DNA sequence chromatogram of the CHD4 mutations. Arrows indicate the positions of the mutations. (C) The amino acid sequence alignment of the four missense mutations shows that the residues are highly conserved across vertebrates Mutation P286A had a low allele frequency (4.09 × 10−6 in general population and 5.567 × 10−5 in East Asia population) in gnomAD database, but did not present in the control populations of gnomAD. The other three mutations (K533E, E1646K, and D1659E) did not appear in gnomAD database) (Table S1). A statistical analysis on the frequency of the CHD4 variants showed a significant difference between the present cohort and the populations in gnomAD (general population, East Asian population, or controls in gnomAD (4/964 vs. 1/244520 in all populations of gnomAD, p = 1.222 × 10−9; vs. 1/17964 in East Asian population of gnomAD, p = 3.322 × 10−5) (Table S2).

Clinical features of the cases with CHD4 mutations

The CHD4 mutations were identified in four families with 8 individuals affected. The detailed clinical manifestations were summarized in Table 1. The median seizure‐onset age of the probands was 4 years old (ranging from 4 months to 8 years). The last follow‐up age ranged from 9 years to 15 years. All the probands had childhood idiopathic epilepsy characterized by shifting or bilateral focal discharges, or generalized spike‐slow waves with normal backgrounds of EEGs (Figure 2A–D). The probands in case 1 and case 2 had febrile seizures at the age of 4 months and 2 years, respectively, then followed by afebrile seizures. They were diagnosed as epilepsy with febrile seizure plus (EFS+). Case 3 was diagnosed as childhood absence epilepsy (CAE), and the proband of case 4 was a patient of benign childhood epilepsy with centrotemporal spikes (BECTS). Except case 3 who had daily typical absence seizures, the other three probands had infrequent complex partial seizures or secondary generalized tonic‐clonic seizures. Sinus arrhythmia with atrial premature was observed in all affected individuals (Figure 2E), except the brother of case 1 whose ECG was not available. Mild aortic valve regurgitation was detected in case 1 (Figure 2F). Brain MRI was normal in the four cases. All patients had normal intelligence and development, except the proband of case 4 presented borderline intelligence (Wechsler Intelligence Scale 74). They all became seizure‐free for at least one year on the routine dose of lamotrigine and/or sodium valproate.
TABLE 1

Clinical Features of the Individuals with CHD4 Mutations

CaseVariants (NM_001273.3)DiagnosisGenderAgeSeizure onsetSeizure courseEEGSinus arrhythmiaBrain MRIDevelopmentEffective AEDsPrognosisMAF in GnomADACMG
Case 1–1c.856C>G/p.P286AEFS+Male11 yearsFS at 4 months; CPS at 6 yearsFS twice before 2 years; CPS and sGTCS twice /year for 4 yearsNormal+NormalNormalVPASz free 1 year4.09 × 10−6 (0 in controls)US (PP1+PP3)
Case 1–2 (B)c.856C>G/p.P286AFSMale11 years2 yearsFS once at 2 yearsNANANormalNormalSz free 9 years
Case 1–3 (F)c.856C>G/p.P286AMale46 yearsNA+NANormal
Case 2c.1597A>G/p.K533EEFS+Male10 yearsFebrile and afebrile GTCS at 2 yearsGTCS 5–6 times/year for 4 yearsRight frontotemporal spike‐slow wave and generalized slow waves+NormalNormalVPASz free 4 yearsLP (PS2+PM2+PP3)
Case 3c.4936G>A/p.E1646KCAEFemale9 years6 yearsGTCS 2 times/year and absence daily for 1 yearGeneralized 3 Hz spike‐slow waves+NormalNormalLTG 25 mg bidSz free 3 yearsLP (PS2+PM2+PP3)
Case 4–1c.4977C>G/p.D1659EBECTSMale15 years8 yearsGTCS 1–2 times/year for 2 yearsBilateral controtemportal spike‐slow waves+NormalBorderlineLTG 62.5 mg bid, VPA 0.25 bidSz free 5 yearsUS (PM2+PP1+PP3)
Case 4–2 (B)c.4977C>G/p.D1659EMale15 yearsGeneralized spike‐slow waves+NANormal
Case 4–3 (F)c.4977C>G/p.D1659EMale45 yearsNA+NABorderline

Abbreviations: AEDs, antiepileptic drugs; B, brother; BECTS, benign childhood epilepsy with centrotemporal EEG spikes; CAE, childhood absence epilepsy; CPS, complex partial seizure; EEG, electroencephalogram; EFS+, epilepsy with febrile seizure plus; F, father; FS, febrile seizure; GTCS, generalized tonic‐clonic seizure; LP, likely pathogenesis; LTG, lamotrigine; MAF, minor allele frequency from gnomAD; MRI, magnetic resonance imaging; NA, not available; sGTCS, secondary generalized tonic‐clonic seizure; Sz, seizure; US, uncertain significant; VPA, valproate.

FIGURE 2

Changes in ECG, color Doppler ultrasound, and interictal EEG in the cases with CHD4 mutations. (A and B) Interictal EEG of case 2 showed right frontotemporal spike and slow waves (A) and irregular generalized slow waves (B) with sinus arrhythmia (obtained at the age of 9 years). (C) Interictal EEG of case 3 showed intermittent high‐voltage 3 Hz spike and slow waves with sinus arrhythmia (obtained at the age of 6 years and after valproate treatment). (D) Interictal EEG of case 4 showed bilateral controtemportal spike‐slow waves with sinus arrhythmia (obtained at the age of 8 years). The arrows index the sinus premature beats during the ECG and video‐EEG monitoring. (E) ECG of case 1 showed distinct sinus arrhythmia (obtained at the age of 10 years). (F) Color Doppler ultrasound of case 1 showed mild aortic valve regurgitation (obtained at the age of 11 years)

Clinical Features of the Individuals with CHD4 Mutations Abbreviations: AEDs, antiepileptic drugs; B, brother; BECTS, benign childhood epilepsy with centrotemporal EEG spikes; CAE, childhood absence epilepsy; CPS, complex partial seizure; EEG, electroencephalogram; EFS+, epilepsy with febrile seizure plus; F, father; FS, febrile seizure; GTCS, generalized tonic‐clonic seizure; LP, likely pathogenesis; LTG, lamotrigine; MAF, minor allele frequency from gnomAD; MRI, magnetic resonance imaging; NA, not available; sGTCS, secondary generalized tonic‐clonic seizure; Sz, seizure; US, uncertain significant; VPA, valproate. Changes in ECG, color Doppler ultrasound, and interictal EEG in the cases with CHD4 mutations. (A and B) Interictal EEG of case 2 showed right frontotemporal spike and slow waves (A) and irregular generalized slow waves (B) with sinus arrhythmia (obtained at the age of 9 years). (C) Interictal EEG of case 3 showed intermittent high‐voltage 3 Hz spike and slow waves with sinus arrhythmia (obtained at the age of 6 years and after valproate treatment). (D) Interictal EEG of case 4 showed bilateral controtemportal spike‐slow waves with sinus arrhythmia (obtained at the age of 8 years). The arrows index the sinus premature beats during the ECG and video‐EEG monitoring. (E) ECG of case 1 showed distinct sinus arrhythmia (obtained at the age of 10 years). (F) Color Doppler ultrasound of case 1 showed mild aortic valve regurgitation (obtained at the age of 11 years)

Structural alteration of CHD4 protein and genotype‐phenotype correlation of CHD4 variants

As shown schematically in Figure 3, CHD4 successively contains CHD‐N‐terminal domain (CHDNT), two plant homeodomain (PHD) zinc fingers, tandem chromatin organization modifier domain (CHROMO), ATPase/helicase domains, domains of unknown function (DUFs), and CHD c‐terminal domain 2 (CHDCT2). Mutation P286A was located in the liker between CHDNT and PHD1; mutation K533E was located in CHROMO, and mutations E1646K and D1659E were located between DUF1086 and CHDCT2 (Figure 3A).
FIGURE 3

Schematic illustration of mutation and interactions with surrounding amino acids. (A) Schematic diagram of CHD4 and the localization of the CHD4 mutations identified in this study. (B) Hydrogen bond changes in mutants P286, K533, E1646, and D1659

Schematic illustration of mutation and interactions with surrounding amino acids. (A) Schematic diagram of CHD4 and the localization of the CHD4 mutations identified in this study. (B) Hydrogen bond changes in mutants P286, K533, E1646, and D1659 The molecular effect of the missense variants was further analyzed by protein modeling using SWISS‐MODEL. At residue P286, no hydrogen bond with the surrounding residues was formed in both wild‐type and the mutant residue A286 (Figure 3B). Residue K533 was originally formed four hydrogen bonds with E536, and one with G537 and S531 each. When lysine was replaced by glutamic acid at 533, the hydrogen bonds with S531 and two hydrogen bonds with E536 were destroyed. Residue E1646 originally formed two hydrogen bonds with residue K1647 and one hydrogen bond with I1650. Contrastingly, when the glutamic acid was replaced by lysine at 1646, the two hydrogen bonds with residue K1647 were destroyed. Residue D1659 originally formed two hydrogen bonds with residue K1660. When aspartic acid was replaced by glutamic acid at 1659, only one hydrogen bond was kept. To explore the mechanism underlying phenotypic variations, we analyzed genotype‐phenotype relations in all reported CHD4 mutations. To date, 51 mutations have been reported, including 44 missense and 7 destructive mutations (3 nonsense, 1 frameshift, 2 small deletion, and 1 small insertion mutations). , , , , , , , , , , , , , , , , , , Their clinical and molecular details were listed in Table S3. All the destructive mutations were associated with SIHIWES, while the phenotypes of the missense mutations varied from mild phenotypes such as pituitary stalk interruption syndrome with incomplete penetrance and schizophrenia without developmental disorders, to severe multisystem development abnormalities. As our previous studies showed that molecular sub‐regional location of the missense mutations was a critical factor to determine the pathogenicity of variants and associated with phenotypic severity,, we analyzed the locations of missense mutations on CHD4 protein. Among the 35 missense mutations with detailed phenotypes, 27 mutations were associated with multisystem developmental disorders, including 13 mutations associated with full SIHIWES and 14 mutations associated with developmental disorders in more than one systems but not meet the diagnosis of SIHIWES. Majority of these mutations associated with multiple congenital abnormalities (20/27, 74.1%) clustered in the central region from SNF2 region to DUF1087 domain (specifically from residue 810 to 1345), while mutations with other phenotypes (including autism spectrum disorder, schizophrenia, pituitary stalk interruption syndrome, and epilepsy) were exclusively located outside this region (Figure 4), suggesting a molecular sub‐regional effect of CHD4 mutations. The six seizure‐related mutations, including the two previously reported mutations, were also located outside the region from residue 810 to 1345, in CHDNT‐PHD1 linker (P286A and R341S), CHROMO (K533EA and K634R), and DUF1086‐CHDCT2 linker (E1646K and D1659E), respectively.
FIGURE 4

Schematic diagram of missense CHD4 mutations and their locations on CHD4. Locations of the missense mutations with explicit phenotypes were indicated on the structure of CHD4. Mutations associated with non‐Sifrim‐Hitz‐Weiss syndrome were shown at the top of the structural diagram. Mutations associated with Sifrim‐Hitz‐Weiss syndrome were shown at the bottom

Schematic diagram of missense CHD4 mutations and their locations on CHD4. Locations of the missense mutations with explicit phenotypes were indicated on the structure of CHD4. Mutations associated with non‐Sifrim‐Hitz‐Weiss syndrome were shown at the top of the structural diagram. Mutations associated with Sifrim‐Hitz‐Weiss syndrome were shown at the bottom

Evaluation of epilepsy as a novel phenotype of CHD4 variants

We evaluated the CHD4 variant epilepsy correlation using ClinGen Clinical Validity Framework. The total allowable points for genetic aspect and experimental aspect were 6.3 and 6, respectively. The results of clinical validity summary matrix were 12.3 points that was categorized as “Strong,” supporting the association between CHD4 variants and epilepsy (Table 2). In the five clinical‐genetic dimensional evaluation, evidence from four of the five clinical‐genetic aspects (repetition, genotype‐phenotype correlation, inheritance pattern, and molecular sub‐regional implications) was ranked “Yes,” suggesting that epilepsy was a novel phenotype of CHD4 variants (Table S4). These findings indicated that CHD4 mutations are potentially a candidate pathogenic gene of epilepsy.
TABLE 2

Evaluating the Clinical Validity of CHD4‐Epilepsy Associations Based on the Framework Developed by the Clinical Genome Resource

Evidence typeCase informationSuggested points/CasePoints givenMax score
DefaultRange
Case‐level dataVariant evidenceAutosomal dominant OR X‐linked disorderVariant is de novo20–34a 12
Proband with predicted or proven null variant1.50–2010
Proband with other variant type with some evidence of gene impact0.50–1.52.3b 7
Autosomal recessiveTwo variants in trans and at least one de novo or a predicted/proven null variant20.312
Two variants (not predicted/proven null) with some evidence of gene impact in trans10–1.5
Segregation evidenceEvidence of segregation in one or more familiesLOD Score Example350–707
24
1.53
10.5
Case‐control dataCase‐control study typeCase‐control quality criteriaSuggested points/StudyPoints givenMax score
Single variant analysis

Variant Detection Methodology

Power

Bias and Confounding Factors

Statistical Significance

0–612
Aggregate variant analysis0–66c
Total allowable points for genetic evidence6.312

Two de novo missense variants. (2 pts/case × 2 cases).

The four variants in the present study were all low MAF. Three of four variants did not appear in gnomAD database. (0.1 pts/case × 4 cases). The four variants were predicted damaging by multiple in silico programs. (0.4 pts/case × 4 cases). Three variants were predicted to change hydrogen bonds based on 3D structure. (0.1 pts/case × 3cases).

This is an aggregate analysis. Comparing to allele number in gnomAD‐control populations and in controls of gnomAD‐East Asian populations, the frequency of the variants in the present cohort is significant higher (Table S2). (Assigned 6 pts.). The points are not included in total allowable points for genetic evidence.

CHD4 protein belongs to the SNF2/RAD54 helicase family, and acts as one of the motor subunit of the NuRD complex (nucleosome remodeling and deacetylase activities) that is one of the major transcriptional repressors influencing different physiological conditions or different cell/tissue types. Several members of the SNF2/RAD54 helicase family (CHD2, CHD3, and CHD7) were associated with epilepsy and neurodevelopmental disorders. (Assigned 0.5 pts.).

CHD4 protein is one of the motor subunits of the NuRD complex, in which CHD4 protein combines with GATAD2B. The mutations in GATAD2B gene were associated with epilepsy (Shieh C, 2020. PMID: 31949314). (Assigned 0.5 pts.).

CHD4 gene is ubiquitously expressed across the whole lifespan, including brain. (Assigned 0.5 pts.).

Alterations in ATP hydrolysis and chromatin remodeling activities were observed in CHD4 mutant HEK293 cells. (Weiss K, 2019. PMID: 31388190) (Assigned 0.5pts.).

Mice homozygous for CHD4 null alleles exhibited embryonic lethality before implantation, abnormal extraembryonic tissue physiology, absent blastocoele, and increased apoptosis. (MGI:1344380). (Assigned 3 pts.).

In mammalian cells, CHD4 exhibited strong nuclear localization patterns, and rapidly recruited to DNA repairs sites, which revealed a subset of specific target genes (Hoffmeister H, 2017. PMID: 28977666). (Assigned 1 pt.).

Evaluating the Clinical Validity of CHD4‐Epilepsy Associations Based on the Framework Developed by the Clinical Genome Resource Variant Detection Methodology Power Bias and Confounding Factors Statistical Significance Two de novo missense variants. (2 pts/case × 2 cases). The four variants in the present study were all low MAF. Three of four variants did not appear in gnomAD database. (0.1 pts/case × 4 cases). The four variants were predicted damaging by multiple in silico programs. (0.4 pts/case × 4 cases). Three variants were predicted to change hydrogen bonds based on 3D structure. (0.1 pts/case × 3cases). This is an aggregate analysis. Comparing to allele number in gnomAD‐control populations and in controls of gnomAD‐East Asian populations, the frequency of the variants in the present cohort is significant higher (Table S2). (Assigned 6 pts.). The points are not included in total allowable points for genetic evidence. CHD4 protein belongs to the SNF2/RAD54 helicase family, and acts as one of the motor subunit of the NuRD complex (nucleosome remodeling and deacetylase activities) that is one of the major transcriptional repressors influencing different physiological conditions or different cell/tissue types. Several members of the SNF2/RAD54 helicase family (CHD2, CHD3, and CHD7) were associated with epilepsy and neurodevelopmental disorders. (Assigned 0.5 pts.). CHD4 protein is one of the motor subunits of the NuRD complex, in which CHD4 protein combines with GATAD2B. The mutations in GATAD2B gene were associated with epilepsy (Shieh C, 2020. PMID: 31949314). (Assigned 0.5 pts.). CHD4 gene is ubiquitously expressed across the whole lifespan, including brain. (Assigned 0.5 pts.). Alterations in ATP hydrolysis and chromatin remodeling activities were observed in CHD4 mutant HEK293 cells. (Weiss K, 2019. PMID: 31388190) (Assigned 0.5pts.). Mice homozygous for CHD4 null alleles exhibited embryonic lethality before implantation, abnormal extraembryonic tissue physiology, absent blastocoele, and increased apoptosis. (MGI:1344380). (Assigned 3 pts.). In mammalian cells, CHD4 exhibited strong nuclear localization patterns, and rapidly recruited to DNA repairs sites, which revealed a subset of specific target genes (Hoffmeister H, 2017. PMID: 28977666). (Assigned 1 pt.).

DISCUSSION

CHD4 gene is located at chromosomal locus 12p13.31 covering approximately 500 kb of genomic DNA. CHD4 protein, also known as Mi‐2β, is the catalytic core subunit of the nucleosome remodeling and deacetylation (NuRD) complex. Experimentally, CHD4 is one of essential proteins for numerous developmental events, including ensuring proper timing of the switch from stem cell lineages to differentiated cell types, maintaining cell differentiation, and activating DNA damage response pathways. Homozygous CHD4 knockout mice have exhibited abnormal cell cycle and even preweaning lethality with complete penetrance. Clinically, the majority of CHD4 mutations were associated with varying degrees of multiple congenital anomalies (heart, skeleton, brain, etc). These evidences indicate that CHD4 is essential for normal development in higher organisms., , , , , In the central nervous system, CHD4 promotes the early proliferation of progenitors during cerebral cortical development. CHD4 mutations were identified in the patients with multiple neurological disorders, such as neurodevelopmental delay, cognitive disability, and autism, suggesting CHD4 protein plays a crucial role in neurodevelopment. However, the association between CHD4 mutations and epilepsy remains unknown. In the present study, four novel missense CHD4 mutations, including two de novo mutations and two inherited mutations with co‐segregation in families, were identified in the patients with childhood idiopathic epilepsies and sinus arrhythmia. All mutations present no or very low allele frequencies in the gnomAD database and statistically higher frequency in the cohort of epilepsy than in the populations of gnomAD. The strong supporting evidence from Clinical Validity Framework of ClinGen and the evidence from four of five clinical‐genetic aspects suggest that CHD4 mutations were potentially associated with childhood idiopathic epilepsies. CHD4 gene was considered as a candidate pathogenic gene of epilepsy. CHD family proteins are characterized by a SNF2‐like helicase‐ATPase domain located in the central region and signature tandem chromodomains located in the amino‐terminal region, playing vital roles in the maintenance, survival, or proliferation of stem cell populations and in directing cell fate decisions of their progeny. The family comprises nine proteins (CHD1‐9), which were divided into three subfamilies based on domain homology (Li 2014). Subfamily I members (CHD1 and CHD2) contain a DNA‐binding domain with a preference for binding ATP‐rich sequences. Subfamily II members (CHD3, CHD4, and CHD5) lack a defined DNA‐binding domain, but harbor dual plant homeodomain zinc finger motifs upstream of the chromodomains. Subfamily III members (CHD6, CHD7, CHD8, and CHD9) contain additional functional motifs in their C‐terminal regions. Specific CHD proteins form distinct complexes, exhibit unique functions and preferences for repressive or active histone marks, and regulate the differentiation of mesenchymal stem cells into distinct lineages. However, their functions and combining substrates are overlapping. All CHD family genes were associated with neurodevelopmental disorders, while CHD1/2/3/7/8 genes were also implicated in epilepsies or seizures., The patients with mutations in CHD1/3/7/8 genes had epilepsy as a concomitant symptom of developmental abnormalities, while CHD2 mutations caused epileptic encephalopathy as a core phenotype. In this study, CHD4 mutations were identified in the patients with childhood idiopathic epilepsy characterized by infrequent seizures, normal background in EEG, normal neurodevelopment, and favorable outcome, indicating that CHD4 was a candidate causative gene of childhood idiopathic epilepsy. However, the mechanism of phenotypic variation caused by CHD family genes is unclear. From the remodeling mechanisms/biological functions point of view, CHD2 acts as a monomer and is associated with relatively pure phenotype. On the contrary, CHD4 performs functions as one part of NuRD complexes, potentially explaining phenotypes of more complex clinical symptoms. Similarly, CHD7 combines with polybromo‐ and BRG1‐associated factor‐containing complex, and is associated with complex phenotypic spectrum including CHARGE syndrome. In previous studies, CHD4 mutations were associated with severe multisystem developmental abnormalities mostly, while in this study, the mutations were identified in patients with idiopathic childhood epilepsy. Further analysis showed that the CHD4 missense mutations associated with multisystem developmental abnormalities were clustered in the central region from SNF2‐like region to DUF 1087 domain, while the variants associated with other mild phenotypes were located outside this region, suggesting a molecular sub‐regional effect. Moreover, seizure‐related mutations were located in CHNDT‐PHD1linker, CHROMO domain, and DUF1086‐CHDCT2 linker, suggesting the mutations in these regions were potentially related to increased susceptibility of epilepsy. In this study, the seizures in all patients occurred in childhood, which was consistent with increased CHD4 expression in this stage. Clinically, it is common that CAE and BECTS consecutively or contemporarily coexist in the same patients, while 11.8% children with CAE and 45.6% children with BECTS had family or personal history of febrile seizures., , In this study, children with CHD4 mutations presented as CAE, BECTS, and EFS+, similar as several previously reported genes associated with idiopathic epilepsy, such as GABRG2, SCN9A, and GRIN2A,, suggesting these epileptic syndromes potentially have similar etiologies. CHD4 gene is also expressed in heart at a middle level. In this study, seven affected individuals had asymptomatic sinus arrhythmia. One proband had mild cardiac structural anomalies without cardiac symptom. Previously, 65% of reported cases with CHD4 mutations had heart defects, including atrial septal defect, ventricula septal defect, pulmonary stenosis/anomaly, patent ductus arteriosus, tetralogy of fallot, mitral valve anomaly, ebstein anomaly, and truncus arteriosus. Several genes related to both epilepsy and cardiac disorders present risk of sudden unexpected death in epilepsy, which is the leading cause of epilepsy‐related premature mortality., , Thus, special attention should be paid to the patients with CHD4 mutations, who may present not only benign epilepsies such as BECTS/CAE but also potentially had sinus arrhythmia, which requires specialized health consultation and extra follow‐up. Further investigations are required to determine the risk of cardiogenic sudden death caused by CHD4 mutations. In conclusion, this study identified four novel missense mutations in the patients with childhood idiopathic epilepsy with sinus arrhythmia. These mutations presented significantly higher frequent in case cohort than general populations. The strong supporting evidence from Clinical Validity Framework of ClinGen and evidence from four of five clinical‐genetic aspects suggested the association between CHD4 variants and epilepsy, suggesting that CHD4 mutations are potentially a candidate pathogenic gene of epilepsy with sinus arrhythmia. The potentially molecular sub‐regional effect of missense mutations would help understanding the underlying mechanisms of phenotypic variation.

CONFLICT OF INTEREST

All authors claim that there are no conflicts of interest. Table S1 Click here for additional data file. Table S2 Click here for additional data file. Table S3 Click here for additional data file. Table S4 Click here for additional data file.
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5.  Increased exonic de novo mutation rate in individuals with schizophrenia.

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