De novo and rare inherited copy-number variations in the hemiplegic form of cerebral palsy

Journal name:
GENETICS in MEDICINE
(2017)
DOI:
doi:10.1038/gim.2017.83
Received
Accepted
Published online

Abstract

Purpose

Hemiplegia is a subtype of cerebral palsy (CP) in which one side of the body is affected. Our earlier study of unselected children with CP demonstrated de novo and clinically relevant rare inherited genomic copy-number variations (CNVs) in 9.6% of participants. Here, we examined the prevalence and types of CNVs specifically in hemiplegic CP.

Methods

We genotyped 97 unrelated probands with hemiplegic CP and their parents. We compared their CNVs to those of 10,851 population controls, in order to identify rare CNVs (<0.1% frequency) that might be relevant to CP. We also sequenced exomes of “CNV-positive” trios.

Results

We detected de novo CNVs and/or sex chromosome abnormalities in 7/97 (7.2%) of probands, impacting important developmental genes such as GRIK2, LAMA1, DMD, PTPRM, and DIP2C. In 18/97 individuals (18.6%), rare inherited CNVs were found, affecting loci associated with known genomic disorders (17p12, 22q11.21) or involving genes linked to neurodevelopmental disorders.

Conclusion

We found an increased rate of de novo CNVs in the hemiplegic CP subtype (7.2%) compared to controls (1%). This result is similar to that for an unselected CP group. Combined with rare inherited CNVs, the genomic data impacts the understanding of the potential etiology of hemiplegic CP in 23/97 (23.7%) of participants.

Keywords:

copy-number variation; exome sequencing; hemiplegic cerebral palsy; microarray

At a glance

Figures

  1. Figure 1:

    Pedigrees of selected families (cases C, D, and G) with multiple variants.

  2. Figure 2:

    Critical exons in genes expressed prenatally are significantly impacted by rare CNVs in 16 different brain regions. The P value is corrected using the Benjamini-Hochberg method. AMY, amygdaloid complex; CBC, cerebellar cortex; V1C, primary visual cortex; STC, posterior (caudal) superior temporal cortex; IPC, posterior inferior parietal cortex; A1C, primary auditory cortex; S1C, primary somatosensory cortex; M1C, primary motor cortex; STR, striatum; DFC, dorsolateral prefrontal cortex; MFC, medial prefrontal cortex; VFC, ventrolateral prefrontal cortex; OFC, orbital frontal cortex; MD, mediodorsal nucleus of thalamus; ITC, inferolateral temporal cortex; HIP, hippocampus.

Introduction

Cerebral palsy (CP) is a permanent and nonprogressive condition that impacts posture and movement, affecting 2.0–3.5 per 1,000 live births.1 CP is a complex syndrome that can be defined and classified according to functional ability, topographical involvement of extremities, and neurologic patterns (spasticity, dyskinesia, and ataxia).1 The common neurological topography within the spastic subtype includes hemiplegia, quadriplegia, and diplegia.1 The Gross Motor Function Classification System (GMFCS) assesses functional motor ability, with levels from I (walks without limitations) to V (transported in a wheelchair).2

Hemiplegic CP is a subtype in which one side of the body is involved.3 It affects about 1 in 1,300 live births.3 This CP subtype accounted for 37.4% of CP cases in a Canadian cohort previously studied by our team.4 The etiology of hemiplegic CP is most commonly related to a unilateral vascular insult often involving the middle cerebral artery, a periventricular venous infarction, or a unilateral brain malformation (e.g., schizencephaly).5 When the injury is vascular in origin porencephaly can also be identified on brain imaging. Motor function is impaired in the body contralateral to the brain injury/anomaly. Individuals with hemiplegic CP generally are able to ambulate and function at a GMFCS level of I or II.

Along with movement and posture anomalies, CP can involve comorbidities, including seizure disorders, speech and language deficit, autism spectrum disorder (ASD), intellectual disability (ID), visual impairment, and hearing problems.1 Multiple risk factors are associated with CP, including the hemiplegic subtype. For example, neonatal asphyxia is thought to be a cause of related brain damage accounting for approximately 10–20% of cases.1

As with other neurodevelopmental disorders, genes have increasingly been found to have a role in the etiology of CP. However, the genetic findings in CP are heterogeneous, making it difficult to use them diagnostically.4 Twin and family studies have found that variations in genes encoding the AP-4 complex (AP4M1, AP4E1—also with an exonic deletion, AP4B1, and AP4S1)6, 7 and KANK1 are associated with CP.8 Large chromosomal anomalies were detected in 8% of individuals in a cohort of 100 Japanese CP cases, tested using karyotyping.9 In a cohort of 50 cases from the South Australia CP registry, genome-wide copy-number variation (CNV) studies showed that CP was associated with rare inherited CNVs.10 Both rare and de novo CNVs were found associated with CP in 52 cases from Israel.8 A small study of 71 Japanese individuals with porencephaly or schizencephaly screened specifically for COL4A1 variations and identified a variation in 15 (21%).11 Five of these individuals had a diagnosis of hemiplegic CP. Our previous study of 147 Canadian cases with parents, comprising different CP subtypes (including 37.4% with hemiplegia) revealed de novo CNVs in 7% of cases.4 We also found multiple large chromosomal anomalies and rare inherited variants in CP cases.4, 12

In the present study our objective was to assess the role of CNVs and chromosomal abnormalities in a clinically well-defined collection of individuals with hemiplegic CP to further refine the understanding of the genomic risk contribution in this common subtype of CP.

Materials and methods

Participants

Ninety-seven children diagnosed with hemiplegic CP (aged 2–18 years, mean=9.35, SD=4.9) were recruited and studied here for the first time. This cross-sectional study was conducted through the Childhood Hemiplegic Cerebral Palsy Integrated Neuroscience Discovery Network (CP Hemi-NET) spanning nine clinical centers across Ontario, Canada. Research Ethics Board approval was obtained from each center and all caregivers and participants (if able) provided written informed consent. Saliva samples were collected from each child and birth parents.

Measures

Clinical risk factors

A retrospective health record review and a standardized parent interview identified pre-conception, pregnancy, and perinatal–neonatal CP risk factors. Examples of potential risk factors included prematurity, advanced maternal age, in vitro fertilization, congenital malformations, consanguinity, and a family history of CP or early stroke or heart attack at younger than 55 years. Markers of childbirth complications were also identified and pooled and included emergency C-section, Apgar score <6, resuscitation at birth, umbilical cord blood pH <7.35, seizures in the first 24 to 72h of life, or neonatal encephalopathy.

Clinical outcomes

An occupational therapist evaluated the side of the hemiplegia and unilateral hand skills in the child’s hemiplegic hand using the Quality of Upper Extremity Skills Test (QUEST).13 QUEST scores range from 0 (no ability to use hand) to 100 (typical hand skills). GMFCS levels were obtained from the health record. Clinically ordered neuroimaging exams were reviewed for brain injury/anomaly classification. The neurodevelopmental profiles were evaluated using previously completed clinical psychoeducational assessments including IQ scores where available. Clinical diagnoses such as attention deficit/hyperactivity disorder (ADHD), ASD, and learning and intellectual disabilities were noted from the psychology or health record. A summary of the CP risk factors and clinical outcomes for a selected number of CNV-positive cases is found in Supplementary Table S1 online.

Genotyping and variant calling

Genomic DNA extracted from saliva was genotyped on the Affymetrix CytoScan HD platform at The Centre for Applied Genomics.4 Relevant microarray data are deposited in the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/; GSE80813). The quality control and ancestry assessment procedures were as discussed previously.4 The ancestry of samples was determined using PLINK v1.90b2, finding 67 families of European ancestry, and 30 from other backgrounds (Supplementary Table S2).

We called CNVs as previously described (Supplementary Information). The genomic coordinates used are based on Human Genome Build GRCh37/hg19.

Detection of rare variants

We identified rare CNVs as those at not more than 0.1% frequency among 10,851 population control samples (Supplementary Figure S1), using a 50% reciprocal overlap strategy.14 We further restricted our list to those with more than 75% overlap with copy-number stable regions, according to our stringent CNV map of the human genome (see Supplementary Information).15 CNVs deemed relevant, as indicated below, were validated using an SYBR Green-based real-time quantitative PCR assay, TaqMan Copy Number Assays, or droplet digital PCR (ddPCR) (Supplementary Table S3).

Brain-expressed critical exons and burden of pLI scores

We tested the burden of critical exons as identified by Uddin et al.16 in genes whose coding sequences were impacted by rare CNVs, in cases compared with controls, for 16 different brain regions (see Supplementary Information). We performed our analyses at three developmental time points: prenatal (12–37 weeks of gestation), early postnatal and adolescence (4 months–15 years) and adult (>18 years).

We also obtained the probability of truncating loss-of-function intolerance (pLI)17 for genes impacted by deletions in our cases compared with all 10,851 control subjects at the individual level. We compared cases to controls using an unpaired t-test between sums of pLI scores in cases compared with controls to evaluate significance in genetic burden.

Exome sequencing

We undertook exome sequencing to search for potential smaller sequence-level variants not found by microarrays in the 23 families with CNV findings most relevant to CP (Table 1). Our rationale was to investigate whether additional mutations identified might help explain the hemiplegic CP itself or some other medical comorbidity. Exome sequencing was conducted using the Illumina HiSeq2500 at the Centre for Applied Genomics. Sequencing data analysis, alignment, variant calling, and filtering were as described previously.18 We investigated damaging variants and those impacting genes previously implicated in neurodevelopmental or neuromuscular disorders.

Table 1: Copy-number variations of potential significance in 23 CP subjects

Results

Our hemiplegic cohort had a sex ratio of 1.5 (59 male: 38 female subjects), which is slightly higher than that reported from the general CP population (1.3).19 There was a balanced distribution of left (52.6%) and right (47.3%) hemiplegia. The mean QUEST score was 64 (SD=29.5) and GMFCS levels ranged from I to III with a median level of I.

We detected 340 stringent CNVs in proband DNA (Supplementary Table S2). These ranged from 10kb to a duplication of the entire X chromosome. The majority of CNVs were deletions (n=222; 65%) and 118 were duplications (35%). Of these, 129 (38%) affect coding sequences of genes, and 62% involved noncoding regions of the genome.

Clinically relevant variants

In 23 individuals, 30 CNVs with potential relevance to CP were identified (Table 1). These CNVs were either de novo (nine events in seven cases), or involved regions associated with known DECIPHER syndrome loci or ClinGen loci (three cases; one de novo and two paternally inherited), impacted a gene with an established disease role in the brain or muscle, or involved in ASD or comorbid features of CP such as seizure or hearing loss (19 events in 16 cases).

We identified de novo CNVs in 7/97 (7.2%) patients. These included a CNV congruent with the steroid sulfatase deficiency DECIPHER syndrome locus, and one instance of Klinefelter syndrome (XXY chromosomes; Table 1). We identified two patients each with two different de novo CNVs. Case B had a 70.4Mb duplication encompassing the whole p arm and part of the q arm of chromosome X, and a deletion of the rest (84.9Mb) of the q arm (Turner syndrome). This 70.4Mb duplication was confirmed to be mosaic by ddPCR. The other, Case D, carried a duplication in 18p11.23–18p11.31, impacting three genes—LAMA1, PTPRM, and LRRC30—and a duplication in Xp21.2 impacting the DMD gene (Figure 1). We also found a 67.6kb mosaic deletion impacting at least two exons of the DIP2C gene in two unrelated cases (cases F and G). In addition, we observed a de novo deletion impacting the same segment (at least two exons) of this gene in a case first reported in our previous publication.4 We validated this deletion and refined its boundaries in those three cases using eleven different TaqMan assays by ddPCR (see Supplementary Information for experiments performed on these three cases). Genotype data suggest this deletion may be somatic in origin, necessitating testing in additional tissues for confirmation.

Figure 1
f1

Pedigrees of selected families (cases C, D, and G) with multiple variants.

Of 21 rare inherited CNVs, 14 were inherited maternally and seven paternally. Two of the latter involved DECIPHER syndrome loci: 22q11.2 duplication syndrome (case G; Figure 1) and hereditary neuropathy with liability to pressure palsies syndrome (case H). Of the remaining inherited CNVs, 12 were duplications and 7 were deletions.

Critical exons and pLI scores

We observed an enrichment of brain critical exons among CNVs in cases compared with the platform-matched controls (see Supplementary Information). The difference was significant (P<0.05) for exons with prenatal expression in 16 brain regions, whereas only amygdaloid complex, cerebellar cortex, and primary motor cortex showed such a difference in the exons with expression from childhood to adolescence (Figure 2). CNVs in CP cases were enriched for exons expressed in adults in these regions.

Figure 2
f2

Critical exons in genes expressed prenatally are significantly impacted by rare CNVs in 16 different brain regions. The P value is corrected using the Benjamini-Hochberg method. AMY, amygdaloid complex; CBC, cerebellar cortex; V1C, primary visual cortex; STC, posterior (caudal) superior temporal cortex; IPC, posterior inferior parietal cortex; A1C, primary auditory cortex; S1C, primary somatosensory cortex; M1C, primary motor cortex; STR, striatum; DFC, dorsolateral prefrontal cortex; MFC, medial prefrontal cortex; VFC, ventrolateral prefrontal cortex; OFC, orbital frontal cortex; MD, mediodorsal nucleus of thalamus; ITC, inferolateral temporal cortex; HIP, hippocampus.

Mean pLI scores were higher, but not statistically significant, in our cases compared with controls genotyped on platforms other than CytoScan HD (0.267 vs. 0.096; P=0.109) and with platform-matched controls (0.267 vs. 0.10; P=0.118).

Exome sequencing

We found 30 de novo variants from 17 cases (Supplementary Table S4). We identified potential risk variants in two cases. Case E has a nonsynonymous de novo single nucleotide variant (SNV) in ENTPD1, which is recessive and involved in spastic paraplegia (OMIM 615683). This case also carries a nonsynonymous de novo SNV in NOVA1, a Nova-family RNA-binding protein, important for splicing regulation in neurons, predicted to be haploinsufficient (pLI=0.98), and resulting in motor dysfunction when knocked out in mouse (OMIM 602157). The second case, Case L, has a nonsynonymous de novo SNV in ATAD3C, also involved in various neurological disorders.20 We also found 45 rare inherited SNVs impacting the neurodevelopmental or neuromuscular disorders from 21 cases. We additionally identified two different damaging missense variants in COL4A2, which is involved in muscular disorders (OMIM 120090), inherited from the mother of case G (Figure 1) and from the father of case Q.

Stratifying cases into two groups

We stratified cases into two categories: those with identified CNV risk (n=23) and those without a CNV risk (n=74) (Table 2). We found that there were significantly more females in the CNV group (P=0.006). Among potential risk factors for CP, there was a significant difference in gestational term between the groups (P=0.02), with the CNV group having a lower rate of prematurity. Levels of factors such as advanced maternal age, use of in vitro fertilization, the presence of congenital malformations, and markers of childbirth complications, among others, were not found to be significantly different between the two groups.

Table 2: Characteristics of patient groups with and without CNVs

Notable case findings

De novo CNVs and CNVs known to be associated with DECIPHER syndrome loci

Case A has sex chromosome aneuploidy with a diagnosis of Klinefelter syndrome (47, XXY). Neurological disorders such as CP, ADHD, epilepsy, and delayed motor milestones have been reported in some patients with Klinefelter syndrome.21

Case B carries a complex rearrangement: a mosaic duplication (70Mb) spanning chromosome Xp and the centromere side of Xq. She also has an 84.9Mb deletion of distal Xq starting from the same breakpoint as where the duplication ends (Table 1; Supplementary Figure S2). The retained copy of the q arm is maternal in origin. This might reflect an iso-dicentric chromosome X with a terminal deletion of paternal origin, but confirmation by karyotype is needed. Delays in gross motor milestones and reduced general muscle tone and strength are reported in cases with X-chromosome monosomy.21 Since both deletions and duplications of chromosome X are associated with delayed motor functions, we consider whether CP in this patient may be explained by these chromosomal anomalies. Her intellectual ability was unknown. Her mother’s maternal age was advanced.

Case C carries one de novo and two maternally inherited CNVs (Figure 1). The de novo variant is a 1.7Mb deletion on Xp, impacting five genes including STS, which is associated with steroid sulfatase deficiency (Supplementary Figure S3). Others studied a link between haploinsufficiency of STS and neurodevelopmental disorders, including intellectual disability and autism in a girl.22 Her inherited variants include a 39.6kb duplication impacting EPHA6, a gene implicated in autism (Supplementary Figure S4) and a 76.8kb duplication impacting SCN3B (Supplementary Figure S5). The latter gene encodes a member of the sodium channel subunit in neurons and muscle cells; mutations in such genes are involved in epilepsy,23 a comorbidity of CP. This case has a family history of CP and early stroke.

Case D has a language-based learning disability, is functioning at a GMFCS level of I, and carries two de novo duplications (Table 1 and Supplementary Table S1; Figure 1). The first CNV is a 309kb duplication impacting the first 15 exons of the DMD gene (all exons for five isoforms), and a single exon of the FTHL17 gene (Supplementary Figure S6). Duplication of DMD was reported in a female with spastic right hemiplegia.4 The second CNV is a 1.15Mb duplication of 18p11.23–18p11.31, impacting three genes: LAMA1, PTPRM, and LRRC30 (Supplementary Figure S7). Protein-truncating variants in the LAMA1 gene have been linked to congenital muscular dystrophy, myopia, and retinal dystrophy.24

Case E, who has normal intellectual development, harbors a 475.1kb de novo CNV deletion impacting GRIK2 (Supplementary Figure S8 and Supplementary Table S1), which belongs to the kainate family of glutamate receptors. Haploinsufficiency of members of this family can cause intellectual disability.25 She also carries a de novo damaging point mutation in NOVA1, which may contribute to her phenotype (OMIM 615683).

Cases F and G each have a de novo 67.6kb deletion impacting at least two exons in the DIP2C gene (Figure 1). Case F has ADHD (inattentive subtype), is a slow learner, and has a proximal middle cerebral artery infarction. Case G has a family history of CP (mother and maternal second cousin) and he had seizures on his third day of life. No imaging was available for this case. Genetic variants of DIP2A, DIP2B, and DIP2C have a possible role in developmental dyslexia, intellectual disability, and developmental delay.26 Among ASD cases one inherited frameshift and two de novo mutations in the DIP2C gene have been reported.27, 28 Case G also carries two paternally inherited CNVs and a point mutation in COL4A2, but none in DIP2C (Figure 1). One CNV is a 2.5Mb duplication reciprocal to the 22q11.2 deletion syndrome locus, which is sometimes associated with ASD.14 This patient also carries a 14.6kb deletion impacting the DPP6 gene (Supplementary Figure S9). This gene has been associated with a number of human central nervous system disorders, including ASD, intellectual disability, and spinal muscular atrophy.29 This patient also carries a heterozygous point mutation inherited from his mother in the COL4A2 gene (c.2921G>A; p.Gly974Glu; identified by gene-panel testing by clinical geneticists at the Hospital for Sick Children; and confirmed for this study with exome and Sanger sequencing). Mutations in this gene, which is expressed in the basement membrane during early development, have been reported in patients with muscular cramps, cerebral small-vessel disease, and hemorrhagic stroke (OMIM 120090).

Case H is functioning at a GMFCS level I and carries a 1.4Mb paternally inherited deletion in 17p12, a region associated with hereditary neuropathy with liability to pressure palsies syndrome, characterized by muscle weakness (OMIM 162500).

Inherited CNVs impacting neurodevelopmental or muscular risk genes

In addition to two CNVs associated with DECIPHER syndrome loci discussed above (Cases G and H), we observed 19 inherited CNVs from 18 patients (18/97=18.6%). We describe three of these here, and the rest in the Supplementary Information.

Case I, who has a normal intellectual profile, carries a 1.03Mb paternally inherited deletion impacting the first exon of the CNTN4 gene and all except the first two exons of the CNTN6 gene (Supplementary Figure S10). These two genes belong to the family of contactin genes (CNTNs) with a role in formation of axon connections in the developing nervous system. Deletions of CNTNs have been linked to hypotonia, psychomotor retardation, ASD, intellectual disability, developmental delay, microcephaly, and other neurodevelopmental disorders.30

Case L has a language-based learning disability. She carries a maternally inherited 370.6kb duplication impacting ABAT, USP7, and four other genes (Supplementary Figure S11). De novo CNVs, including duplications, impacting the USP7 gene, are implicated in ASD and schizophrenia.31 The ABAT deficiency phenotype includes psychomotor retardation and seizures. Single nucleotide variants in the ABAT gene, probably disrupting its protein function, may have a link to autism.32

Case Q, who has a normal developmental profile, carries a maternally inherited 114.4kb deletion impacting exons 8 and 9 of the CNTNAP2 gene (Supplementary Figure S12), which encodes a member of the neurexin family with function in the nervous system. Deletions, including only a single exon of this gene, have been implicated in dyslexia, apraxia, language impairment, motor regression, and intellectual disability.33 This case also carries a paternally inherited potentially damaging missense SNV in COL4A2.

Discussion

We found de novo CNVs in 7.2% of cases in this well-defined collection of individuals with hemiplegic CP. This was comparable to the 7% we previously reported in a cohort of individuals with CP from all subtypes,4 but higher than the de novo CNV rate in other neurodevelopmental disorders, including idiopathic ASD, ADHD, ID, and schizophrenia (reviewed by Oskoui et al.4). However, in a cohort of CP cases from Israel, 13% had de novo CNVs.8 Taken together, these findings suggest that de novo CNVs may be contributing to the etiology of various subtypes of CP, including hemiplegia.

The contribution of rare inherited CNVs to the etiology of hemiplegia has been reported previously, but only in mixed cohorts, rather than a purely hemiplegic cohort, as reported here. Our group identified two inherited duplications in cases with spastic right hemiplegia,4 and McMichael et al.10 identified rare inherited CNVs in cases diagnosed with hemiplegia. Here, in 18.6% (18/97) of our subjects, we found rare inherited CNVs (63% duplications), impacting genes expressed in the brain or congruent with genomic disorders. For example, brain-expressed genes in the neurexin or contactin, and immunoglobulin gene families, (e.g., CNTNAP2, CNTN4, CNTN6), or genes encoding members of potassium or sodium channels (i.e., KCNK9, KCNJ9, KCNJ10, and SCN3B), were perturbed in our hemiplegic CP cohort. Alterations of these genes are risk factors for other neurodevelopmental disorders. For inherited variants, many factors may explain the phenotype discordance between child and parent, including variable expressivity, incomplete penetrance, and epigenetic modification of gene expression. Of those genes impacted by the de novo and inherited CNVs in this study, GRIK2, KCNJ9, KCNJ10, GLGAP1, PTPRM, and DPP6 are clustered together in a protein interaction network (Supplementary Figure S13).

Inflammation, including chorioamnionitis and congenital infections, is an established risk factor for all CP subtypes including hemiplegia, owing possibly to abnormalities in the inflammatory response system.34 An earlier study established a link between a SNP (rs1800795) in interleukin-6 (IL-6) and CP.34 However, we found no CNVs impacting genes involved in the inflammatory response, including those highlighted in two population-based studies.35, 36

The enrichment of brain-expressed critical exons impacted by CNVs in our cases (as seen in other neurodevelopmental disorders such as ASD16) may explain factors contributing to the etiology of hemiplegia as well as the associated neurodevelopmental comorbidities. The primary motor cortex and cerebral cortex may be particularly relevant to core phenotypes of the hemiplegic CP. Although the scores for the pLI burden in our cases were not significantly elevated, the higher mean score may provide additional evidence that perturbed genes would be a contributory factor in the etiology of CP.

Among individuals with CP including hemiplegia, about 20% have neurodevelopmental disorders and 9% have ASD.37 Multiple de novo CNVs impacting genes implicated in ASD were found in our CP cases. For example, cases E, F, and G have de novo deletions impacting exons of GRIK2 and DIP2C, with a pLI score corresponding to be highly constrained (pLI>0.9; Table 1 and Supplementary Table S5). We also found rare inherited exonic deletions and duplications impacting other ASD risk genes, e.g., KCNK9, CNTN6, CNTN4, ASTN2, and MCPH1, in our CP cases (Table 1). In our CNV-positive cases, only case P, with a 22q11.21 duplication, has ASD (as well as ADHD). We also uncovered CNVs at three genomic disorder loci: a de novo deletion of Xp22.31associated with steroid sulfatase deficiency, a 22q11.21 duplication, and a 17p12 deletion (both inherited).

In our sample we found that the CNV group had proportionally more females and lower rates of prematurity than the non-CNV group. Clinically, CP cases are more common in males than females (with a ratio of 1.3, or 1.5 in the current study) although the exact risk mechanism has not been well established. However, as with autism,14 females were represented more frequently in the CNV-positive cases (P=0.006). Prematurity is also a significant CP risk factor, increasing the chance of developing CP 100-fold.38 However, in this study, term gestation was more common in the CNV-positive cases. The increased prevalence of females and children born at term in the CNV-positive group could be explained by the presence of a CNV itself being a risk factor that contributes to the etiology of hemiplegic CP. This could also explain the overrepresentation of other risk factors, such as higher rates of males and prematurity (P=0.02), in the non-CNV group (Table 2).

We identified potentially damaging point mutations in COL4A2, a gene associated with hemorrhagic stroke, in cases G and Q (OMIM 120090), thus contributing to the understanding of stroke in the etiology of hemiplegic CP. Birth asphyxia (neonatal encephalopathy) has been associated with CP in 10%–20% of individuals.1 Genetic variations could also underlie vulnerabilities that lead to birth asphyxia.39 The presence of potentially harmful CNVs in 23.7% (23/97) of our cohort may provide further evidence for this hypothesis, although we did not identify a difference in childbirth complications in the CNV, compared to the non-CNV, group.38 However, the CP risk factors of advanced maternal age, use of in vitro fertilization, and the presence of congenital malformations were not significantly different between these two groups.

Our results show that hemiplegic CP can be associated with de novo or rare inherited CNVs. The presence of de novo CNVs and those involving well-defined genomic disorders among our cohort suggests the benefit of genomic testing for diagnostic purposes in hemiplegic CP. DOPA-responsive dystonia and hereditary spastic paraplegia (HSP) can present in asymmetric neurologic presentations with one side more involved in the early stages, and are conditions with identified genetic mutations in the GCH1 and ATL1 genes, respectively, but may be misdiagnosed as CP.40 The distinction is important, as DOPA-responsive dystonia can be treated with medications such as levodopa, and the clinical trajectory of HSP is different from that of CP as the neurologic symptoms progress. Therefore, genetic testing, particularly whole-genome sequencing, which has the potential for detecting CNVs and smaller variants, should be considered as part of the diagnostic assessment of an individual presenting with CP symptoms, for ruling out neurologic disorders with similar phenotypes, or garnering a better understanding of the etiology of CP for that particular individual.

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Acknowledgments

The authors thank Jennifer Howe, John Wei, Sergio Pereira, Zhuozhi Wang, Wilson Sung, Gaganjot Kaur, Thomas Nalpathamkalam, Tara Paton, Giovanna Pellecchia, Ryan K.C. Yuen, Anath Lionel, Ada Chan, Marc Woodbury-Smith, Sylvia Lamoureux, Alireza Mowjoodi, Chao Lu, Ting Wang, Xiaolin Wang, Zhanqin Liu, Honglei Yu, Karen Ho, Zhizhou Hu, Kozue Samler, and Janet Buchanan for technical assistance and helpful discussions. We also thank Jackie Down, Shannon Geldart, Rhiannon Hicks, Lisa-Marie Langaigne, Nicole Murphy, Heather Ridgway, Jane Sandercock, Julie Wilson, and Melody Yuen for their assistance with data collection.

Author information

  1. The first two authors contributed equally to this work.

    • Mehdi Zarrei &
    • Darcy L Fehlings

Affiliations

  1. The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada

    • Mehdi Zarrei,
    • Bhooma Thiruvahindrapuram,
    • Susan Walker,
    • Daniele Merico,
    • Guillermo Casallo,
    • Mohammed Uddin,
    • Jeffrey R MacDonald,
    • Matthew J Gazzellone,
    • Edward J Higginbotham,
    • Christian R Marshall,
    • Richard F Wintle &
    • Stephen W Scherer
  2. Holland Bloorview Kids Rehabilitation Hospital, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada

    • Darcy L Fehlings,
    • Karizma Mawjee,
    • Lauren Switzer &
    • Anne Kawamura
  3. Deep Genomics Inc., Toronto, Ontario, Canada

    • Daniele Merico
  4. Department of Pediatrics, Schulich School of Medicine, Western University, London, Ontario, Canada

    • Craig Campbell
  5. Division of Neurology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada

    • Gabrielle deVeber
  6. Thames Valley Children’s Centre, London, Ontario, Canada

    • Pam Frid
  7. McMaster University, Hamilton, Ontario, Canada

    • Jan Willem Gorter &
    • Ronit Mesterman
  8. Grandview Children’s Centre, Oshawa, Ontario, Canada

    • Carolyn Hunt
  9. ErinoakKids Centre for Treatment and Development, Mississauga, Ontario, Canada

    • Marie Kim
  10. Ottawa Children’s Treatment Centre, Ottawa, Ontario, Canada

    • Anna McCormick
  11. Hotel Dieu Hospital, Kingston, Ontario, Canada

    • Dawa Samdup
  12. Department of Pediatric Laboratory Medicine, Genome Diagnostics, The Hospital for Sick Children, Toronto, Ontario, Canada

    • Dimitri J Stavropoulos
  13. Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario, Canada

    • Stephen W Scherer

Conflict of Interest

The authors declare no conflict of interest. This project was supported by grants from the Ontario Brain Institute (funding in part by the Government of Ontario), Genome Canada, Canada Foundation for Innovation, Canadian Institute for Advanced Research (CIFAR), Government of Ontario, Canadian Institutes of Health Research, The Hospital for Sick Children, and the University of Toronto McLaughlin Centre. D.L.F. holds the Bloorview Children’s Hospital Foundation Chair in Developmental Paediatrics, J.W.G. holds the Scotiabank Chair in Child Health Research. S.W.S. holds the GlaxoSmithKline-CIHR Chair in Genome Sciences at The Hospital for Sick Children and the University of Toronto.

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