Literature DB >> 27113213

Pathogenic copy number variants and SCN1A mutations in patients with intellectual disability and childhood-onset epilepsy.

Andrew E Fry1,2, Elliott Rees3, Rose Thompson3, Kiran Mantripragada3, Penny Blake4, Glyn Jones5, Sian Morgan6, Sian Jose6, Hood Mugalaasi6, Hayley Archer6, Emma McCann7, Angus Clarke6,8, Clare Taylor6, Sally Davies6, Frances Gibbon9, Johann Te Water Naude9, Louise Hartley9, Gareth Thomas10, Catharine White10, Jaya Natarajan11, Rhys H Thomas12, Cheney Drew13, Seo-Kyung Chung13, Mark I Rees13, Peter Holmans3, Michael J Owen3, George Kirov3, Daniela T Pilz6, Michael P Kerr3,5.   

Abstract

BACKGROUND: Copy number variants (CNVs) have been linked to neurodevelopmental disorders such as intellectual disability (ID), autism, epilepsy and psychiatric disease. There are few studies of CNVs in patients with both ID and epilepsy.
METHODS: We evaluated the range of rare CNVs found in 80 Welsh patients with ID or developmental delay (DD), and childhood-onset epilepsy. We performed molecular cytogenetic testing by single nucleotide polymorphism array or microarray-based comparative genome hybridisation.
RESULTS: 8.8 % (7/80) of the patients had at least one rare CNVs that was considered to be pathogenic or likely pathogenic. The CNVs involved known disease genes (EHMT1, MBD5 and SCN1A) and imbalances in genomic regions associated with neurodevelopmental disorders (16p11.2, 16p13.11 and 2q13). Prompted by the observation of two deletions disrupting SCN1A we undertook further testing of this gene in selected patients. This led to the identification of four pathogenic SCN1A mutations in our cohort.
CONCLUSIONS: We identified five rare de novo deletions and confirmed the clinical utility of array analysis in patients with ID/DD and childhood-onset epilepsy. This report adds to our clinical understanding of these rare genomic disorders and highlights SCN1A mutations as a cause of ID and epilepsy, which can easily be overlooked in adults.

Entities:  

Keywords:  Array comparative genomic hybridization; Copy number variation; Epilepsy; Intellectual disability; SCN1A

Mesh:

Substances:

Year:  2016        PMID: 27113213      PMCID: PMC4845474          DOI: 10.1186/s12881-016-0294-2

Source DB:  PubMed          Journal:  BMC Med Genet        ISSN: 1471-2350            Impact factor:   2.103


Background

Copy number variants (CNVs; chromosomal deletions and duplications) have been identified as significant aetiological factors in a range of neurodevelopmental disorders including intellectual disability (ID) [1], autism [2], epilepsy [3] and psychiatric disease [4]. The detection of a causative CNV in a patient is valuable for genetic counselling and, in some cases, guiding clinical management. The observation of a rare chromosomal abnormality in a patient with a rare neurological phenotype has occasionally been the vital clue leading to the identification of genes and pathways critical to brain development [5, 6]. A limited number of previous genome-wide CNV studies have focused on patients with both epilepsy and ID [7-10]. We set out to investigate the rare CNVs present in a series of 80 patients with ID/developmental delay (DD) and childhood-onset epilepsy. Our aims were: to determine the frequency of pathogenic CNVs in the cohort; to define the clinical features of patients carrying pathogenic CNVs; to identify any sub-groups of patients particularly enriched for pathogenic CNVs; and to highlight candidate genes for epilepsy and ID/DD.

Methods

Study subjects

Participants were recruited between 2010 and 2014. Participants were 80 unrelated patients (49 adults and 31 children) identified through medical genetics, learning disability and paediatric neurology clinics around Wales (see Additional file 1: Table S1 for further demographic information). Participants lacked a molecular diagnosis and had not previously undergone high resolution genome-wide cytogenetic analysis (<1 Mb resolution). The majority of participants had previously been tested by karyotype (61/80) combined with additional cytogenetic and molecular tests (Additional file 1: Table S2). Patients with known significant congenital brain malformations were excluded (e.g. malformations of cortical development, porencephaly, holoprosencephaly or intracerebral vascular malformations). CNV rates in the general population were estimated from 929 control subjects derived from the Wellcome Trust Case Control Consortium 2 National Blood Donors Cohort [11]. These were blood donors recruited by UK Blood Services and are therefore similar in ethnic origin to our mostly white British cohort. Controls were genotyped on Illumina OmniExpress single nucleotide polymorphism (SNP)-arrays.

Ethics approval and consent to participate

The study was approved by the Research Ethics Committee for Wales (09/MRE09/51). Informed consent for testing and publication was obtained from all participants (or their parents/legal guardians).

Microarray analysis

Genomic DNA was extracted from blood (n = 73) or saliva (n = 7). Samples were tested on one of three platforms: (i) Illumina610-Quad SNP-array (n = 20); (ii) Illumina OmniExpress SNP-array (n = 36); or (iii) microarray-based comparative genomic hybridization (array CGH) using a BlueGnome CytoChip ISCA 8x60k v2.0 array (n = 24). Validation testing was performed by fluorescent in situ hybridisation, multiplex ligation-dependent probe amplification (MLPA) or by testing on a second array platform. The method for identifying CNVs depended on the array platform. SNP-array data was called using PennCNV [12]. Called CNVs were filtered by probe number (10 or more) and gene content (at least one). We excluded CNVs which had 50 % or greater overlap with a CNV in the control cohort. However, for key genomic regions known to harbour recurrent CNVs associated with neurodevelopmental disorders which demonstrate incomplete penetrance (1q21.1, 15q11.2, 15q13.3, 16p11.2 and 16p13.11) we allowed CNVs to be present at low frequency in controls (<1 %). Analysis focused on deletions and duplications larger than 100 kb and 250 kb respectively (50 kb for disease regions). Array CGH data was referenced against same sex control DNA (Promega) and analysed using Illumina BlueFuse Multi (v3.1) software, with data filtered on consecutive probes (3 or more) and size (as above). Imbalances detected by array CGH were interpreted by comparison with data from the Database of Genomic Variants, International Standards for Cytogenomic Arrays consortium and local laboratory data. Coordinates are based on hg19/GRCh37. Statistical comparisons were made using Fisher’s exact test calculated with an online tool [13]. Parents and additional family members were analysed, where available, to determine if a CNV had arisen de novo or segregated with disease in a family. We assessed the clinical significance of CNVs based on their size, type, inheritance and whether they contained known disease genes. We were guided by the approach set out in previous publications [7, 14]. Based on this assessment some CNVs were annotated as ‘pathogenic’ (e.g. a de novo deletion of a proven disease gene/region) or ‘likely pathogenic’ (e.g. large CNVs containing genes/regions previously linked to disease). Other CNVs were considered to be of unknown significance.

SCN1A gene testing

A subgroup of patients was tested for intragenic SCN1A mutations. Sequencing of the complete coding region and flanking sequence of the gene was performed by bidirectional Sanger sequencing (n = 4) or by targeted next-generation sequencing (NGS) (n = 11). Sequencing (Sanger or NGS) covered all the coding sequence of SCN1A along with 20 bp of flanking intron or untranslated region (UTRs). Sequencing did not cover the promoter, deep intronic regions or the rest of the UTRs. In silico analysis of detected variants included PhyloP [15], SIFT [16], Grantham distance [17], PolyPhen-2 [18] and CADD [19]. We also searched the Exome Aggregation Consortium (ExAC) database [20], dbSNP [21], ClinVar [22] and an SCN1A mutation-specific database [23]. Nucleotide and protein positions are based on NCBI Reference Sequences NM_001165963.1 and NP_001159435.1 respectively [24].

Results and discussion

The 80 patients had a range of epilepsy phenotypes including epileptic encephalopathy (EE, n = 25), non-lesional focal epilepsies (n = 22), and genetic generalised epilepsy with ID (GGE-ID, n = 22) (Table 1). In the remainder, the epilepsy phenotype was unclassified or unknown. We found 22.5 % (18/80) of the cohort carried at least one rare CNV (Table 2). Three patients had more than one rare CNV. The average size of the CNVs was 647 kb (median 488 kb). We identified 8 CNVs considered to be likely (n = 3) or clearly pathogenic (n = 5) (Table 2). One patient (R660) had one clearly and one likely pathogenic CNV. This meant 7 (8.8 %) of our patients had pathogenic or likely pathogenic CNVs. Additional rare variants of uncertain clinical significance (VUS) were present in 11 further patients. We compared the frequency of CNVs in patients and controls. We found that large (>500 kb) low frequency (<1 %) genic CNVs were marginally more common in patients (13 %, 10/80) compared with controls (11 %, 105/929). However, this difference was not statistically significant (P = 0.71). The majority of patients had previously been tested by karyotype which will have depleted larger CNVs from the cohort.
Table 1

Epilepsy syndromes in the cohort at recruitment

SyndromeNumber
Epileptic encephalopathy (EE)
 Lennox-Gastaut syndrome9
 Dravet syndrome3
 West syndrome2
 Myoclonic astatic epilepsy2
 Epilepsy of infancy with migrating focal seizures2
 Ohtahara syndrome1
 Epilepsy with continuous spikes and waves during sleep1
 Unclassified EE with onset in infancy5
Genetic generalised epilepsy with intellectual disability (GGE-ID)
 Myoclonic epilepsy3
 Progressive myoclonic epilepsy1
 Other GGE-IDs18
Non-lesional focal epilepsies22
Unclassified epilepsy2
Unknown9
Total80
Table 2

Rare CNVs detected in 80 patients with ID/DD and epilepsy

SubjectAgeSexClinical featuresSeizure onsetSyndromeSeizure typesCytobandCNV TypeCoordinatesSize (Kb)TestsStatusInterpretationGenes
R12510 mFSevere DD, cleft palate3 mEIMFSFE, EBCS, CSE2q24.3Del163823021–1679587234,136c/fDNPath SCN3A, SCN2A, SCN1A, SCN9A, SCN7A & 8 others
R35115yMModerate DD, poor coordination, joint contractures, mildly dysmorphic3 mDravet FS, GTCS, CSE, M2q24.3Del166842637–16691893276c/dDNPath SCN1A
R4047yFMild DD, ASD8 mWest IS, Abs16p11.2Del29595483–30198151603b/e,fDNPath DOC2A, KIF22, MAPK3, PRRT2, QPRT, SEZ6L2 & 24 others
R66021yMMod-severe ID, challenging behaviour, ASD, depression, dysmorphic8 mGGE-IDAbs, M, FDS, EBCS9q34.3Del140707889–140890373182b/eDNPath CACNA1B, EHMT1
3p14.2Dup59736299–610233551,287b/ePatLikely FHIT
3p22.1Del41359533–41824555465b/eMatVUS ULK4
R91122yFMod ID, small head, mildly dysmorphic10yFEFDS, GTCS2q22.3Del148691873–148818437127b/eDNPath MBD5, ORC4
R91320yMMod-severe ID, challenging behaviour, ASD10 mFE FS, FDS, EBCS16p13.11Dup15512574–16262571750b/eMatLikely ABCC1, C16orf45, FOPNL, KIAA0430, MIR484, MYH11, NDE1
R34527yFMild ID, dysmorphic<6yGGE-IDM, Abs, GTCS2q13Del111392259–1130947931,703b/ePatLikely BUB1, BCL2L11, ANAPC1, MERTK, FBLN7 & 5 others
R5826yFSevere ID, scoliosis<8yGGE-IDAt, Abs, M1q21.1Dup145625979–14572364598a/eMatVUS CD160, RNF115
R74a 51yFMild-mod ID, depression3 mFE FS, FE, EBCS1p21.1Del104167778–104297867130a/eUVUS AMY1A, AMY1B, AMY1C, AMY2A
R10132yMID, seizures<16yUU11q22.3Del109173027–109325299152b/ePatVUS C11orf87
R19819yMSevere ID, ASD, mild right hemiparesis7 mLGS FE, IS, Abs, NCS, GTCS, At, FDSXq28Del150589930–150811921222c/ndUVUS PASD1
R52823yMSevere ID, challenging behaviour, ASD, dysmorphic, regression11yFEFE, Abs15q13.3Dup32019919–32514341494b/eUVUS CHRNA7
R60541yMID, seizures<16yUU15q11.2Dup22383292–23272733889b/ePatVUS CYFIP1, NIPA1, NIPA2, TUBGCP5 & 8 others
8p23.1Del11713852–12204679491b/eMatVUS CTSB, FAM66D, FAM86B1, USP17L2, ZNF705D & 6 others
R622a 28yFModerate ID, challenging behaviour6 mGGE-ID IS, GTCS, M18p11.22Dup10042023–10581304539b/eMatVUS APCDD1, NAPG
R65021yMMild ID, thin habitus, depression18 mGGE-IDAbs, M, GTCS15q13.3Dup32029693–32514926485a/ndUVUS CHRNA7
15q14Del34700297–34807869108a/ndUVUS GOLGA8A
R7869yMModerate DD, Leg hypertonia, dystonia2yGGE-ID (M)M, Abs, At21q21.3Del27715263–27955385240a/eMatVUS CYYR1
R93115yFSevere DD, ASD, dysmorphic, microcephaly12yGGE-ID GTCS 7q11.22Del71815170–72305671491b/ePatVUS CALN1, MIR4650-1, MIR4650-2, SBDSP1, TYW1B
R9815yFSevere DD, regression, ASD, leg hypertonia1wGGE-IDAbs, At, M, T3p26.3Dup726675-1301830575c/ndUVUS CNTN6

Age (at recruitment) and seizure onset in y(ears), m(onths) or w(eeks). Clinical features: ID intellectual disability, DD, developmental delay, ASD autism spectrum disorder

Syndrome, electroclinical syndrome or main epilepsy type at recruitment: Dravet, Dravet syndrome; EIMFS, epilepsy of infancy with migrating focal seizures: FE focal epilepsy, GGE-ID, genetic generalised epilepsy with ID, LGS Lennox-Gastaut syndrome, U unknown, West West syndrome

Seizure types: Abs absence, At atonic, CSE convulsive status epilepticus, EBCS evolution to bilateral or convulsive seizures, FDS focal dyscognitive seizures, FS febrile seizures, GTCS generalised tonic-clonic seizures, IS infantile spasms, M myoclonic, NCS non-convulsive status epilepticus, T tonic, seizure type at presentation is underlined (when known)

CNV type, Dup(lication) or Del(eletion). Coordinates, chromosome position of first/last abnormal probes based on hg19/GRCh37. Tests, primary array/confirmation method: (a) Illumina610-Quad SNP-array, (b) Illumina OmniExpress SNP-array, (c) BlueGnome CytoChip array CGH, (d) quantitative PCR, (e) Illumina Exome BeadChip or custom Illumina SNP array, (f) fluorescence in situ hybridization, and (nd) not done. Status: DN, de novo; inherited Pat(ernally); Mat(ernally) or U(nknown). Interpretation (of clinical significance): Path(ogenic); Likely, likely pathogenic; VUS, variant of uncertain significance

aPatients R622 and R74 had pathogenic SCN1A mutations which suggests these two CNVs are likely to be benign

Epilepsy syndromes in the cohort at recruitment Rare CNVs detected in 80 patients with ID/DD and epilepsy Age (at recruitment) and seizure onset in y(ears), m(onths) or w(eeks). Clinical features: ID intellectual disability, DD, developmental delay, ASD autism spectrum disorder Syndrome, electroclinical syndrome or main epilepsy type at recruitment: Dravet, Dravet syndrome; EIMFS, epilepsy of infancy with migrating focal seizures: FE focal epilepsy, GGE-ID, genetic generalised epilepsy with ID, LGS Lennox-Gastaut syndrome, U unknown, West West syndrome Seizure types: Abs absence, At atonic, CSE convulsive status epilepticus, EBCS evolution to bilateral or convulsive seizures, FDS focal dyscognitive seizures, FS febrile seizures, GTCS generalised tonic-clonic seizures, IS infantile spasms, M myoclonic, NCS non-convulsive status epilepticus, T tonic, seizure type at presentation is underlined (when known) CNV type, Dup(lication) or Del(eletion). Coordinates, chromosome position of first/last abnormal probes based on hg19/GRCh37. Tests, primary array/confirmation method: (a) Illumina610-Quad SNP-array, (b) Illumina OmniExpress SNP-array, (c) BlueGnome CytoChip array CGH, (d) quantitative PCR, (e) Illumina Exome BeadChip or custom Illumina SNP array, (f) fluorescence in situ hybridization, and (nd) not done. Status: DN, de novo; inherited Pat(ernally); Mat(ernally) or U(nknown). Interpretation (of clinical significance): Path(ogenic); Likely, likely pathogenic; VUS, variant of uncertain significance aPatients R622 and R74 had pathogenic SCN1A mutations which suggests these two CNVs are likely to be benign

Pathogenic CNVs

The five clearly pathogenic CNVs were all de novo deletions. We found a de novo 127 kb deletion of 2q23.1 in a woman with moderate ID, mildly dysmorphic facial features (long face, thin upper lip, slightly upslanting palpebral fissures, long nose) and seizures. The deletion disrupted the first two non-coding exons of the MBD5 gene. MBD5 encodes a member of the methyl-CpG-binding domain family. The MBD5 protein binds to methylated DNA and is thought to regulate gene expression by controlling chromatin modification [25]. Deletions of the 5′- UTR of MBD5 result in reduced expression of the gene [26]. Common clinical features in MBD5 patients include ID/DD, seizures, language impairment, microcephaly, mild craniofacial dysmorphism and autism spectrum disorders (ASD) [26-28]. Interestingly, patients with CNVs confined to the 5′-UTR (like R911) have phenotypes similar to patients with larger 2q23.1 deletions. This highlights the critical impact of non-coding sequence at the locus [29]. We observed a de novo 182 kb deletion at 9q34.3 involving EHMT1 in an adult male (R660) with moderate-to-severe ID, dysmorphic features (hypertelorism, mid face hypoplasia, prognathism), aggressive behaviour, autistic features, depression and epilepsy. Deletions at 9q34 involving EHMT1 are responsible for Kleefstra syndrome [30]. EHMT1 encodes a histone methyltransferase involved in transcriptional repression. EHMT1 is known to interact with MBD5 and they work together to regulate gene expression [25]. Characteristic features of Kleefstra syndrome include ID/DD, microcephaly, psychiatric disorders, severe behavioural problems, dysmorphic features, hypotonia, heart defects and seizures [31]. In addition to truncating EHMT1 the 9q34 deletion involved the adjacent CACNA1B gene. CACNA1B encodes a subunit of a voltage-dependent calcium channel expressed on neurons. Mutations in other N-type voltage-dependent calcium channel subunits have been linked to a wide range of paroxysmal disorders including periodic paralysis [32], familial hemiplegic migraine [33], myoclonus-dystonia syndrome [34], childhood absence epilepsy [35] and idiopathic generalized epilepsy [36]. Therefore, it is possible that haploinsufficiency of CACNA1B may have contributed to the patient’s epilepsy phenotype. Patient R660 also had a paternally-inherited 1.3 Mb duplication involving the FHIT gene (considered to be likely pathogenic). The FHIT gene is a member of the histidine triad gene family. FHIT encodes diadenosine 5′,5‴-P1,P3-triphosphate hydrolase, an enzyme involved in purine metabolism. Rare CNVs involving FHIT have previously been described in autism [37, 38]. R660 carried a third rare CNV, a maternally-inherited 465 kb deletion at 3p22.1 involving ULK4. ULK4 encodes a serine/threonine kinase. Expression of the ULK4 gene is neuron-specific and developmentally regulated [39]. This third CNV was considered to be a VUS, although deletions in ULK4 have recently been reported as a potential risk factor for schizophrenia [39]. The third clearly pathogenic CNV was a de novo 603 kb 16p11.2 deletion in a girl with mild DD, ASD and infantile spasms (seizure free following treatment). Seizures are a common feature of 16p11.2 deletion syndrome along with ASD, ID/DD, psychiatric disease and increased risk of obesity [40, 41]. The reciprocal duplications at 16p11.2 locus have also been associated with epilepsy including infantile spasms [7, 42]. The last two clearly pathogenic CNVs were both de novo deletions at 2q24.3: one was 76 kb in size and deleted exons 4 to 28 of the SCN1A gene; the other was 4.1 Mb and deleted 13 genes including SCN1A. SCN1A encodes a voltage-gated sodium channel which is essential for the generation and propagation of action potentials in neurons. Mutations in SCN1A cause a spectrum of seizure disorders including familial febrile seizures, generalised epilepsy with febrile seizures plus and Dravet syndrome (severe myoclonic seizures of infancy) [43-45]. Typical features of these disorders are seizure onset in infancy with fever sensitivity. Severe manifestations of SCN1A-related disease include pharmacoresistant seizures, ID/DD, ataxia and autistic behaviour [46, 47]. Patient R125, who had the larger of the two deletions, had a severe phenotype with poor seizure control, severe DD and a cleft palate. These additional features may be due to haploinsufficiency of other genes in the region. The deletion in R125 included SCN2A, SCN3A and SCN9A. All three of these genes encode voltage-gated sodium channels which have been linked to epilepsy [48-50]. The patient’s epilepsy phenotype was considered to be epilepsy of infancy with migrating focal seizures (EIMFS). A number of patients with 2q24.3 deletions and EIMFS -like phenotypes have recently been reported [51, 52]. Patient R351, who had the smaller of the 2q24.3 deletions, had previously undergone SCN1A sequencing which had not detected their multi-exon deletion. This highlights that DNA sequencing alone is insensitive to CNVs and that dose-sensitive techniques (e.g. array CGH or MLPA) are required to detect a significant proportion of SCN1A mutations [53]. Two further likely pathogenic CNVs were found. One was a paternally-inherited 1.7 Mb deletion of 2q13 in a female patient (R345) with mild ID, small ventricular septal defect, facial dysmorphism (long face, retrognathism, broad nasal root, hypertelorism, mild facial asymmetry) and epilepsy. Deletions at 2q13, similar to the one found in patient R345 have been reported in other patients with DD/ID [54, 55]. Common manifestations include facial dysmorphism, autistic features, seizures and cardiac malformations. Previously reported 2q13 deletions have been inherited from an apparently normal parent, consistent with incomplete penetrance. Interestingly, the father of R345 shares similar facial features, but has no history of ID or epilepsy. The third likely pathogenic CNV was a maternally-inherited 750 kb duplication of 16p13.11 in a man with mild ID, ASD, seizures and a history of aggressive episodes. We considered the 16p13.11 duplication to be likely contributory as there was a family history of childhood epilepsy in the patient’s mother and a maternal uncle (untested). Deletions in the 16p13.11 region are clear risk factors for neurodevelopmental disorders including epilepsy [3, 56]. There is also evidence that duplications at 16p13.11 predispose to neurodevelopmental disorders (ASD, schizophrenia and ID) [57-60] and have been reported in patients with epilepsy [61]. Several further CNVs at genomic ‘hot spots’ were observed (duplications at 1q21.1, 15q11.2 and 15q13.3). These duplications were all inherited from unaffected parents and overlapped CNVs in the control cohort. They were therefore considered to be VUS. It remains possible that some of these VUS have contributed to disease risk. For example, there is evidence that CHRNA7 duplications may subtly increase the risk of neurodevelopmental disorders including ID [62]. However, further large-scale epidemiological studies are required to fully define these risks. Among the non-‘hotspot’ CNVs of uncertain significance we found a 575 kb duplication involving the first 4 exons of CNTN6. This duplication was identified in a 5-year-old girl with severe DD, ASD, bilateral lower limb hypertonia and early-onset seizures. CNTN6 is an interesting candidate gene for neurodevelopmental disorders as it encodes a neural adhesion molecule that operates in the formation, maintenance and plasticity of neuronal networks. In addition, CNVs involving CNTN6 have been reported in patients with DD/ID and autistic features [2, 63–65].

SCN1A mutations

Struck by finding two deletions involving SCN1A we realised that this key monogenic cause of epilepsy had not been extensively pre-screened in our cohort (only 9/80). The majority of recruits were adults (n = 49) who were initially investigated before SCN1A testing was available. Furthermore, in contrast to paediatric settings, the significance of SCN1A mutations for adult patients is often neglected [66], usually because key elements of early history (e.g. age of onset, initial seizure types) are not available. We therefore selected a group of patients with early-onset epilepsy for SCN1A sequencing. Of the 38 patients with seizure onset before 12 months, 6 had previously had normal testing for SCN1A while 3 others had pathogenic CNVs. Fifteen of the remaining 29 patients were prioritized for testing based on clinical features (e.g. a history of myoclonic or febrile seizures). This found 4 pathogenic SCN1A mutations (Table 3). All four patients had seizure onset in early infancy (6 months or before) and ongoing seizures despite anticonvulsant therapy. Three of the mutations were missense mutations. The fourth was a 4 base duplication leading to a frameshift early in the gene. In silico analysis indicated the missense mutations were all deleterious changes affecting conserved residues (Table 3). One missense mutation segregated with epilepsy and ID phenotypes in the patient’s family (the proband’s two affected siblings and their mildly-affected mother) the others were all de novo. In combination with the array data these results indicate that at least 6/80 (7 %) of our cohort had SCN1A-related seizure disorders.
Table 3

SCN1A mutations in the cohort

SubjectR622R74R710R769
Age28y51y24y3y
SexFFFF
Clinical featuresModerate ID, challenging behaviourMild-mod ID, depressionModerate ID, ataxia, stroke-like episodesMod-severe DD, poor coordination
Seizure onset6 m3 m6 m5d
SyndromeGGE-IDFEPMECSWS
Seizure typesIS, GTCS, MFS, FE, EBCSC-CSE, M, FDS, EBCST, GTCS, CSE, FE, At, Abs, M
Genomic coordinatesChr2 g.166915177 _166915180dupChr2 g.166915162 G > AChr2 g.166913001 G > CChr2 g.166848780 C > T
cDNAc.283_286dupc.301C > Tc.393C > Gc.5005G > A
Proteinp.Gly96Glufs*24p.Arg101Trpp.Ser131Argp.Ala1669Thr
Inheritance De novo De novo Segregates with phenotype De novo
PhyloP-0.91 (highly conserved)0.89 (highly conserved)0.86 (highly conserved)
Grantham distance-101 (moderate)110 (moderate)58 (small)
SIFT-0 (deleterious)0.02 (deleterious)0 (deleterious)
PolyPhen-2 (HumVar)-0.982 (probably damaging)0.368 (benign)1 (probably damaging)
CADD (PHRED-scaled)-34 (top 0.1 %)22.3 (top 1 %)26.1 (top 1 %)
ExAC frequency0000
dbSNP-rs121917965--

Age (at recruitment) and seizure onset in y(ears), m(onths) or d(ays). Clinical features: ID intellectual disability, DD developmental delay

Syndrome, electroclinical syndrome or main epilepsy type at recruitment: CSWS, epilepsy with continuous spikes and waves during sleep; FE focal epilepsy, GGE-ID genetic generalised epilepsy with ID, PME progressive myoclonic epilepsy

Seizure types: Abs absence, At atonic, C clonic, CSE convulsive status epilepticus, EBCS evolution to bilateral or convulsive seizures, FDS focal dyscognitive seizures, FS febrile seizures, GTCS generalised tonic-clonic seizures, IS infantile spasms, M myoclonic, T tonic, seizure type at presentation is underlined. Coordinates are based on hg19/GRCh37. Nucleotide and protein reference sequences were NM_001165963.1 and NP_001159435.1

SCN1A mutations in the cohort Age (at recruitment) and seizure onset in y(ears), m(onths) or d(ays). Clinical features: ID intellectual disability, DD developmental delay Syndrome, electroclinical syndrome or main epilepsy type at recruitment: CSWS, epilepsy with continuous spikes and waves during sleep; FE focal epilepsy, GGE-ID genetic generalised epilepsy with ID, PME progressive myoclonic epilepsy Seizure types: Abs absence, At atonic, C clonic, CSE convulsive status epilepticus, EBCS evolution to bilateral or convulsive seizures, FDS focal dyscognitive seizures, FS febrile seizures, GTCS generalised tonic-clonic seizures, IS infantile spasms, M myoclonic, T tonic, seizure type at presentation is underlined. Coordinates are based on hg19/GRCh37. Nucleotide and protein reference sequences were NM_001165963.1 and NP_001159435.1

Conclusions

We have reported the range of rare CNVs found in a series of 80 Welsh patients with childhood-onset epilepsy and ID/DD. We identified clearly or likely pathogenic CNVs in 7 (8.8 %) of the patients including 5 rare de novo deletions. Our results highlight key genes for brain development including drawing attention to SCN1A mutations in adults with early-onset pharmacoresistant epilepsy and ID. Our results contribute additional phenotypic descriptions for these rare genomic disorders and support the use of molecular cytogenetic analysis in the genetic evaluation of patients with ID/DD and epilepsy.
  61 in total

Review 1.  Clinical significance of rare copy number variations in epilepsy: a case-control survey using microarray-based comparative genomic hybridization.

Authors:  Pasquale Striano; Antonietta Coppola; Roberta Paravidino; Michela Malacarne; Stefania Gimelli; Angela Robbiano; Monica Traverso; Marianna Pezzella; Vincenzo Belcastro; Amedeo Bianchi; Maurizio Elia; Antonio Falace; Elisabetta Gazzerro; Edoardo Ferlazzo; Elena Freri; Roberta Galasso; Giuseppe Gobbi; Cristina Molinatto; Simona Cavani; Orsetta Zuffardi; Salvatore Striano; Giovanni Battista Ferrero; Margherita Silengo; Maria Luigia Cavaliere; Matteo Benelli; Alberto Magi; Maria Piccione; Franca Dagna Bricarelli; Domenico A Coviello; Marco Fichera; Carlo Minetti; Federico Zara
Journal:  Arch Neurol       Date:  2011-11-14

2.  CACNA1B mutation is linked to unique myoclonus-dystonia syndrome.

Authors:  Justus L Groen; Arturo Andrade; Katja Ritz; Hamid Jalalzadeh; Martin Haagmans; Ted E J Bradley; Aldo Jongejan; Dineke S Verbeek; Peter Nürnberg; Sylvia Denome; Raoul C M Hennekam; Diane Lipscombe; Frank Baas; Marina A J Tijssen
Journal:  Hum Mol Genet       Date:  2014-10-08       Impact factor: 6.150

Review 3.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

Review 4.  The human clinical phenotypes of altered CHRNA7 copy number.

Authors:  Madelyn A Gillentine; Christian P Schaaf
Journal:  Biochem Pharmacol       Date:  2015-06-18       Impact factor: 5.858

5.  Recurrent deletions of ULK4 in schizophrenia: a gene crucial for neuritogenesis and neuronal motility.

Authors:  Bing Lang; Jin Pu; Irene Hunter; Min Liu; Cristina Martin-Granados; Thomas J Reilly; Guo-Dong Gao; Zhen-Long Guan; Wei-Dong Li; Yong-Yong Shi; Guang He; Lin He; Hreinn Stefánsson; David St Clair; Douglas H Blackwood; Colin D McCaig; Sanbing Shen
Journal:  J Cell Sci       Date:  2013-11-27       Impact factor: 5.285

6.  Sporadic hemiplegic migraine and epilepsy associated with CACNA1A gene mutation.

Authors:  Andro Zangaladze; Ali A Asadi-Pooya; Avi Ashkenazi; Michael R Sperling
Journal:  Epilepsy Behav       Date:  2010-01-13       Impact factor: 2.937

7.  Strong association of de novo copy number mutations with autism.

Authors:  Jonathan Sebat; B Lakshmi; Dheeraj Malhotra; Jennifer Troge; Christa Lese-Martin; Tom Walsh; Boris Yamrom; Seungtai Yoon; Alex Krasnitz; Jude Kendall; Anthony Leotta; Deepa Pai; Ray Zhang; Yoon-Ha Lee; James Hicks; Sarah J Spence; Annette T Lee; Kaija Puura; Terho Lehtimäki; David Ledbetter; Peter K Gregersen; Joel Bregman; James S Sutcliffe; Vaidehi Jobanputra; Wendy Chung; Dorothy Warburton; Mary-Claire King; David Skuse; Daniel H Geschwind; T Conrad Gilliam; Kenny Ye; Michael Wigler
Journal:  Science       Date:  2007-03-15       Impact factor: 47.728

8.  Recurrent reciprocal 16p11.2 rearrangements associated with global developmental delay, behavioural problems, dysmorphism, epilepsy, and abnormal head size.

Authors:  Marwan Shinawi; Pengfei Liu; Sung-Hae L Kang; Joseph Shen; John W Belmont; Daryl A Scott; Frank J Probst; William J Craigen; Brett H Graham; Amber Pursley; Gary Clark; Jennifer Lee; Monica Proud; Amber Stocco; Diana L Rodriguez; Beth A Kozel; Steven Sparagana; Elizabeth R Roeder; Susan G McGrew; Thaddeus W Kurczynski; Leslie J Allison; Stephen Amato; Sarah Savage; Ankita Patel; Pawel Stankiewicz; Arthur L Beaudet; Sau Wai Cheung; James R Lupski
Journal:  J Med Genet       Date:  2009-11-12       Impact factor: 6.318

9.  The spectrum of SCN1A-related infantile epileptic encephalopathies.

Authors:  Louise A Harkin; Jacinta M McMahon; Xenia Iona; Leanne Dibbens; James T Pelekanos; Sameer M Zuberi; Lynette G Sadleir; Eva Andermann; Deepak Gill; Kevin Farrell; Mary Connolly; Thorsten Stanley; Michael Harbord; Frederick Andermann; Jing Wang; Sat Dev Batish; Jeffrey G Jones; William K Seltzer; Alison Gardner; Grant Sutherland; Samuel F Berkovic; John C Mulley; Ingrid E Scheffer
Journal:  Brain       Date:  2007-03       Impact factor: 13.501

10.  Identification of an Nav1.1 sodium channel (SCN1A) loss-of-function mutation associated with familial simple febrile seizures.

Authors:  Massimo Mantegazza; Antonio Gambardella; Raffaella Rusconi; Emanuele Schiavon; Ferdinanda Annesi; Rita Restano Cassulini; Angelo Labate; Sara Carrideo; Rosanna Chifari; Maria Paola Canevini; Raffaele Canger; Silvana Franceschetti; Grazia Annesi; Enzo Wanke; Aldo Quattrone
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-02       Impact factor: 11.205

View more
  10 in total

1.  Overrepresentation of genetic variation in the AnkyrinG interactome is related to a range of neurodevelopmental disorders.

Authors:  Ilse M van der Werf; Sandra Jansen; Petra F de Vries; Amber Gerstmans; Maartje van de Vorst; Anke Van Dijck; Bert B A de Vries; Christian Gilissen; Alexander Hoischen; Lisenka E L M Vissers; R Frank Kooy; Geert Vandeweyer
Journal:  Eur J Hum Genet       Date:  2020-07-10       Impact factor: 4.246

Review 2.  Childhood epilepsies: What should a pediatrician know?

Authors:  Fahad A Bashiri
Journal:  Neurosciences (Riyadh)       Date:  2017-01       Impact factor: 0.906

3.  Annotating pathogenic non-coding variants in genic regions.

Authors:  Sahar Gelfman; Quanli Wang; K Melodi McSweeney; Zhong Ren; Francesca La Carpia; Matt Halvorsen; Kelly Schoch; Fanni Ratzon; Erin L Heinzen; Michael J Boland; Slavé Petrovski; David B Goldstein
Journal:  Nat Commun       Date:  2017-08-09       Impact factor: 14.919

4.  Rare Copy Number Variations and Predictors in Children With Intellectual Disability and Epilepsy.

Authors:  Miriam Kessi; Juan Xiong; Liwen Wu; Lifen Yang; Fang He; Chen Chen; Nan Pang; Haolin Duan; Wen Zhang; Ahmed Arafat; Fei Yin; Jing Peng
Journal:  Front Neurol       Date:  2018-11-19       Impact factor: 4.003

Review 5.  The NaV1.7 Channel Subtype as an Antinociceptive Target for Spider Toxins in Adult Dorsal Root Ganglia Neurons.

Authors:  Tânia C Gonçalves; Evelyne Benoit; Michel Partiseti; Denis Servent
Journal:  Front Pharmacol       Date:  2018-09-04       Impact factor: 5.810

6.  From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability.

Authors:  Anna Lindstrand; Jesper Eisfeldt; Maria Pettersson; Claudia M B Carvalho; Malin Kvarnung; Giedre Grigelioniene; Britt-Marie Anderlid; Olof Bjerin; Peter Gustavsson; Anna Hammarsjö; Patrik Georgii-Hemming; Erik Iwarsson; Maria Johansson-Soller; Kristina Lagerstedt-Robinson; Agne Lieden; Måns Magnusson; Marcel Martin; Helena Malmgren; Magnus Nordenskjöld; Ameli Norling; Ellika Sahlin; Henrik Stranneheim; Emma Tham; Josephine Wincent; Sofia Ygberg; Anna Wedell; Valtteri Wirta; Ann Nordgren; Johanna Lundin; Daniel Nilsson
Journal:  Genome Med       Date:  2019-11-07       Impact factor: 11.117

7.  Testing single/combined clinical categories on 5110 Italian patients with developmental phenotypes to improve array-based detection rate.

Authors:  Ilaria Catusi; Maria Paola Recalcati; Ilaria Bestetti; Maria Garzo; Chiara Valtorta; Melissa Alfonsi; Alberta Alghisi; Stefania Cappellani; Rosario Casalone; Rossella Caselli; Caterina Ceccarini; Carlo Ceglia; Anna Maria Ciaschini; Domenico Coviello; Francesca Crosti; Annamaria D'Aprile; Antonella Fabretto; Rita Genesio; Marzia Giagnacovo; Paola Granata; Ilaria Longo; Michela Malacarne; Giuseppina Marseglia; Annamaria Montaldi; Anna Maria Nardone; Chiara Palka; Vanna Pecile; Chiara Pessina; Diana Postorivo; Serena Redaelli; Alessandra Renieri; Chiara Rigon; Fabiola Tiberi; Mariella Tonelli; Nicoletta Villa; Anna Zilio; Daniela Zuccarello; Antonio Novelli; Lidia Larizza; Daniela Giardino
Journal:  Mol Genet Genomic Med       Date:  2019-12-18       Impact factor: 2.183

8.  A psychiatric disease-related circular RNA controls synaptic gene expression and cognition.

Authors:  Amber J Zimmerman; Alexander K Hafez; Stephen K Amoah; Brian A Rodriguez; Michela Dell'Orco; Evelyn Lozano; Brigham J Hartley; Begüm Alural; Jasmin Lalonde; Praveen Chander; Maree J Webster; Roy H Perlis; Kristen J Brennand; Stephen J Haggarty; Jason Weick; Nora Perrone-Bizzozero; Jonathan L Brigman; Nikolaos Mellios
Journal:  Mol Psychiatry       Date:  2020-01-27       Impact factor: 15.992

Review 9.  Dendritic Integration Dysfunction in Neurodevelopmental Disorders.

Authors:  Andrew D Nelson; Kevin J Bender
Journal:  Dev Neurosci       Date:  2021-06-17       Impact factor: 3.421

10.  Efficient strategy for the molecular diagnosis of intractable early-onset epilepsy using targeted gene sequencing.

Authors:  John Hoon Rim; Se Hee Kim; In Sik Hwang; Soon Sung Kwon; Jieun Kim; Hyun Woo Kim; Min Jung Cho; Ara Ko; Song Ee Youn; Jihun Kim; Young Mock Lee; Hee Jung Chung; Joon Soo Lee; Heung Dong Kim; Jong Rak Choi; Seung-Tae Lee; Hoon-Chul Kang
Journal:  BMC Med Genomics       Date:  2018-02-01       Impact factor: 3.063

  10 in total

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