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Ann Rehabil Med > Volume 48(6); 2024 > Article
Jang, Kim, Schwabe, and Lotze: Genetics of Cerebral Palsy: Diagnosis, Differential Diagnosis, and Beyond

Abstract

Cerebral palsy (CP) is the most common motor disability in children, characterized by diverse clinical manifestations and often uncertain etiology, which has spurred increasing interest in genetic diagnostics. This review synthesizes findings from various studies to enhance understanding of CP’s genetic underpinnings. The discussion is structured around five key areas: monogenic causes and copy number variants directly linked to CP, differential genetic disorders including atypical CP and mimics, ambiguous genetic influences, co-occurrence with other neurodevelopmental disorders, and polygenic risk factors. Case studies illustrate the clinical application of these genetic insights, underscoring the complexity of diagnosing CP due to the phenotypic overlap with other conditions and the potential for misdiagnosis. The review highlights the significant role of advanced genetic testing in distinguishing CP from similar neurodevelopmental disorders and assessing cases with unclear clinical presentations. Furthermore, it addresses the ongoing challenges in establishing a consensus on genetic contributors to CP, the need for comprehensive patient phenotyping, and the integration of rigorous genetic and functional studies to validate findings. This comprehensive examination of CP genetics aims to pave the way for more precise diagnostics and personalized treatment plans, urging continued research to overcome the current limitations and refine diagnostic criteria within this field.

INTRODUCTION

Cerebral palsy (CP), the most prevalent motor disability in children, encompasses a group of disorders affecting movement and posture [1]. The key features of CP include: abnormal brain development or damage to the developing brain, nonprogressive brain disorder, wide range of motor impairments, and various associated conditions such as intellectual disability, seizures, and visual or hearing impairments. CP motor impairments are typically categorized as spastic, dyskinetic (subdivided into dystonic and choreoathetoid), or ataxic, based on the predominant neuromotor abnormalities [1-3]. These motor impairments characteristic of CP sometimes pose a diagnostic challenge due to its phenotypic overlap with other neurological disorders that manifest in children.
The diagnosis of CP involves a comprehensive approach including a detailed analysis of the patient’s perinatal and medical history, particularly looking for risk factors, as well as conducting neurological exams and neuromotor assessments, such as Prechtl’s Qualitative Assessment of General Movements and the Hammersmith Infant Neurological Examination. Additionally, neuroimaging tests, including brain magnetic resonance imaging (MRI), are crucial for this diagnostic process. One important aspect of diagnosing CP is that, given it is fundamentally a clinical diagnosis and due to its clinical heterogeneity, it is crucial to differentiate it from other neurological disorders, especially those caused by genetic mutations that might present similarly during childhood [4].
The cause of CP is often associated with factors affecting brain development, such as congenital infections, hypoxia or asphyxia, birth injuries, or severe hyperbilirubinemia in newborns. However, the exact cause remains unclear in many cases. As a result, there has been increasing interest in genetic factors as contributors to the occurrence of CP. Recent genetic research advances have started to illuminate the complex etiology of CP, clarifying the role of genetic variations.
In this review, we will explore the importance of genetic testing in diagnosing and differentially diagnosing CP through several case presentations. Certain genetic factors may be taken into account. These include:
(1) Single genes (monogenic) or copy number variants (CNVs) that cause CP
(2) Differential genetic disorders, which encompass atypical CP, CP mimics, and CP masqueraders
(3) Gray area between genetic disorders causing CP and differential genetic disorders
(4) Co-occurrence of other genetic neurodevelopmental disorders and CP
(5) Polygenic risk factors associated with CP

MAIN TEXT

Single genes (monogenic) or CNVs that can cause CP

Case 1

A 41-month-old female with no perinatal issues showed severe developmental delay, dyskinetic movements, and spasticity, and had been followed under the diagnosis of dyskinetic CP. Her development corresponded to an equivalent age of 8 months in cognition, 5 months in receptive language, 6 months in expressive language, 8 months in fine motor skills, and 7 months in gross motor skills. However, no definitive abnormality was observed in the brain MRI. Due to the discrepancy between clinical symptoms and radiological findings, a clinical exome sequencing (CES) test was performed, revealing a de novo heterozygous nonsense variant, c.1543C>T(p.Arg515Ter), in the CTNNB1, which has been previously reported as a pathogenic variant. She was diagnosed with neurodevelopmental disorder with spastic diplegia and visual defects (OMIM 615075).

Case 2

A 27-month-old male with no perinatal issues showed gross motor delays and spasticity, with the left side more severely affected. His developmental milestones matched those of a 27-month-old in cognition and fine motor skills, and a 13-month-old in gross motor skills. A brain MRI showed periventricular nodular heterotopia (Fig. 1). Chromosomal microarray (CMA) and trio whole genome sequencing (WGS) tests were performed, which identified a de novo 1.4 Mb copy number loss in Xp22.33 (1,411,421-2,859,126). Based on previous research linking the Xp22.33 deletion to periventricular nodular heterotopia and CP [5,6], this deletion is believed to be a causative CNV in the patient described.

Case 3

A 12-year-old female, born at 35 weeks gestation weighing 2,170 g, was diagnosed with CP due to persistent delays in gross motor development, dyskinetic movements, and spasticity since infancy. There was no evidence of phenotypic progression. The patient had received multiple botulinum toxin injections for spasticity and was able to walk independently at 48 months of age. As no defined abnormalities were observed in the brain and spine MRI, trio WGS was performed and identified a novel de novo heterozygous nonsense variant, c.310G>T(p.Glu104Ter) in SOX2. She was diagnosed with SOX2 disorder.

Discussion

A recent whole exome sequencing (WES) trio analysis conducted on a cohort of 250 individuals diagnosed with CP identified 8 genes that may contribute to the disorder’s etiology. The genes identified include CTNNB1 (observed in Case 1), TUBA1A, RHOB, ATL1, DHX32, SPAST, FBXO31, and ALK, indicating a diverse genetic basis underlying the pathogenesis of CP [7]. A recent meta-analysis found that the overall diagnostic yield of CMA in patients with CP was 5%, with 21 CNVs identified, as in Case 2. This also suggests that diverse genetic mutations are involved in CP [8]. Furthermore, recent advances and widespread application of WES and WGS technologies have significantly increased the identification of new genes associated with movement and muscle tone/posture abnormalities in children, as illustrated by the identification of SOX2 in Case 3. Meanwhile, determining whether genes identified through these studies should be classified as “causative” poses a significant challenge. This happens because most studies defined de novo variants observed in CP patients as pathogenic variants and suggested a potential cause of CP through review of previous studies and molecular pathways [9-11]. Morevoer, these genes frequently demonstrate associations with other neurodevelopmental disorders, such as intellectual disabilities and autism spectrum disorders, which often can present various degrees of tone abnormalities and movement problems [12]. Although the International Cerebral Palsy Genomics Consortium suggested in 2019 that the identification of genomic causes should not require reclassification of CP diagnoses [13], establishing a gene as the etiology of CP requires well-designed prospective studies, including comprehensive phenotyping of patients from a large CP cohort, an unambiguous clinical definition of CP, and rigorous genotyping of patients, their family members, and normal controls. Furthermore, confirming newly discovered disease-causing genes requires robust functional studies in vitro and in vivo to verify their pathogenic role. More research on CP-causing genes and CNVs is needed, and previous studies should be reviewed more rigorously. For instance, the recent systematic review on genetic tests for CP reported that the diagnostic yield of exome sequencing ranges from 15% to 34% (95% confidence interval) and identified 22 potential common causative genes in CP patients [8]. Among them, 3 genes (SPAST, ATL1, KIF1A) are associated with hereditary spastic paraplegia (HSP), and 2 others (SLC2A1, ATP1A3) are linked to child-onset dystonia. Notably, WDR45 (associated with Neurodegeneration with Brain Iron Accumulation 5) and MECP2 (linked to Rett syndrome) are also mentioned. Clinically differentiating CP from early-onset HSP, dystonia, or leukodystrophy can be challenging due to overlapping symptoms and difficulty in perceiving progression. Furthermore, WDR45 and MECP2 conditions, which typically show progressive neuromotor symptoms post-infancy and are distinct from CP. Therefore, previous studies, including this review, raise a question: It may be uncertain whether the genes identified through these studies are monogenic, involved in differential diagnosis, or coexisting.
Three recent WGS studies in relatively large cohorts, including 327 children with their parents [14], 150 singletons [15], and 120 families with CP [16], are considered methodologically rigorous. These studies carefully defined the clinical diagnostic criteria and timing of CP, and thoroughly detailed the inclusion and exclusion criteria. The findings showed that 11.3%, 24.7%, and 45.0% of cases in these respective studies contained candidate CP causative variants. However, further research is still needed to conclusively determine the pathogenicity of these variants. This should involve rigorous peer review and expert consensus, long-term longitudinal studies rather than cross-sectional ones, as well as conducting in vitro and in vivo studies to validate the findings.

Differential genetic disorders, which encompass atypical CP, CP mimics, and CP masqueraders

Case 4

A 14-year-old female patient, with no significant perinatal complications, was initially diagnosed with CP, showing spasticity and dystonia in both lower extremities. She underwent various treatments, including oral baclofen, botulinum toxin injections, and rehabilitation therapy. Living in a child welfare institution, her diurnal fluctuations in motor symptoms were mistakenly attributed to psychiatric issues. The brain and spine MRI showed no abnormalities. Genetic testing using a CES test identified a heterozygous missense variant, c.607G>A(p.Gly203Arg), in GCH1, which had previously been reported as pathogenic. Subsequently, she was diagnosed with DOPA-responsive dystonia (OMIM 128230). The low-dose L-dopa treatment markedly improved her condition, resulting in a disability-free state.

Discussion

The primary objective in the differential diagnosis of CP is to prevent the misdiagnosis of conditions that might be amenable to specific therapeutic interventions, potentially alleviating symptoms. This encompasses a range of nongenetic conditions, such as tethered cord syndrome, as well as numerous genetic disorders, including neurometabolic disorders, such as Case 4. Furthermore, an accurate differential diagnosis provides several key advantages: reducing unnecessary diagnostic tests, improving medical management, preventing disease recurrence in future siblings, informing at-risk family members, and alleviating potential feelings of ambivalence or guilt among relatives.
The literature suggests that differential diagnosis of CP often uses terms such as “atypical CP,” “CP mimics,” and “CP masqueraders” [17-20]. These terms share common elements: a lack of documented risk factors or neuroimaging results consistent with a history of brain injury. However, there is no consensus on these terms, as they are defined differently in various sources. Furthermore, as previously noted, the challenges extend beyond unclear differential diagnoses, encompassing ambiguous distinctions of monogenic disorders and co-occurring conditions. Therefore, effective use of these terms requires a clear definition or consensus. “Differential Genetic Disorders of CP” is proposed as a more accurate descriptor, as the main goal is to facilitate differential diagnosis and avoid misdiagnoses. Particularly, recent genetic therapy research has expanded, with some treatments already approved, such as for aromatic L-amino acid decarboxylase deficiency. As these treatable conditions continue to increase, it is crucial to identify clinical red flags that require a differential diagnosis before diagnosing CP.
Genetic testing is recommended for CP diagnosis under certain clinical conditions (Table 1) [18,21].

The gray area between genetic disorders causing CP and differential genetic disorders

Case 5

A 6-year-old male was referred to our clinic for proper diagnosis of developmental delay and ataxia. The patient was the 4th child of nonconsanguineous healthy parents, with a normal family and perinatal history. He started standing on his own at 10 months old and, at 12 months old, began taking 2 or 3 steps but immediately fell down. He visited several hospitals due to ataxia symptoms and underwent brain MRI scans and genetic testing, but was unable to obtain a definitive diagnosis. Although his ataxia symptoms remained similar, his overall gross motor skills gradually improved as he aged. The patient underwent rehabilitation treatment under the diagnosis of CP, ataxic type. Brain MRI at 1, 5, and 7 years showed interval development of mild atrophy in the cerebellar vermis and hemispheres (Fig. 2). The CES and CMA tests revealed a heterozygous pathogenic nonsense variant in ATM, c.742C>T (p.Arg248Ter) inherited from the father and a compound heterozygous CNV, 11q22.3(108151766-108183226)x1, 31,460 bp (deletion of exons 24-40 of ATM) inherited from the mother. The patient was ultimately diagnosed with ataxia-telangiectasia.

Case 6

A 30-month-old male with no perinatal complications showed global developmental delays and spasticity. He achieved independent walking at 16 months. The parents first noticed developmental delays compared to other children when the patient was around 12 months old, but they were unsure exactly when the delays began. Since the brain MRI showed no abnormalities, a CES test was conducted, identifying a de novo heterozygous missense variant, c.38G>A(p.Arg13His), in KIF1A, which has been previously reported as pathogenic. He was diagnosed with HSP 30 (OMIM 615357) and CP. The patient is currently 60 months old and has not experienced any further progression of neurological symptoms.

Discussion

While HSP primarily affects the lower limbs and progresses over time, CP typically presents as quadriplegia and is non-progressive. However, the distinction is often not clear-cut in clinical practice, especially when CP symptoms predominantly affect the lower limbs or when the onset of HSP is very early. Additionally, distinguishing progressive from non-progressive neuromotor abnormalities in CP is considered crucial for the genetic differential diagnosis of CP but remains challenging. This complexity arises because disease progression can be slow and sometimes only becomes evident later in life. In some cases, patients exhibit very early onset or severe symptoms from birth, making it hard to determine the clinical progression, as in Case 6. Furthermore, progression does not always impact motor function, but can manifest in other symptoms, such as worsening seizures, loss of vision or speech, or cognitive decline. The clinical diversity of each genetic disorder further complicates this issue, as progression varies significantly among individuals, from early onset to late onset. Moreover, specific treatments, such as baclofen pump implantation, selective dorsal rhizotomy, and deep brain stimulation for spasticity or dystonia, can halt the progression of neuromotor symptoms. Furthermore, clinical symptoms may not always match radiological findings or changes, such as in Case 5. This adds another layer of complexity to CP diagnosis [22]. Is it appropriate to diagnose CP while waiting for genetic test results, as in Case 5? In clinical practice, certain cases may be suspected of having a differential genetic disorder mimicking CP or present ambiguous features; however, a definitive genetic diagnosis frequently remains elusive. This scenario raises a complex issue: should a diagnosis of CP be used when the genetic investigations are inconclusive? Consequently, it is advised that clinicians and researchers move beyond traditional nomenclature, using these diagnostic ambiguities as opportunities to refine and redefine categories within neurodevelopmental disorders.

Co-occurrence of other genetic neurodevelopmental disorders and CP

Case 7

A 4-year-old male, born prematurely at 31 weeks weighing 1,200 g, was diagnosed with CP due to gross motor delays, spasticity, and ataxic gait. He achieved independent walking at 30 months. A brain MRI showed posthemorrhagic ventricular enlargement (Fig. 3). Due to intellectual disability, macrocephaly, and facial dysmorphism, a CES test was performed. It identified a de novo heterozygous frameshift variant, c.5285dup(p.Val1764SerfsTer), in the NSD1. He was diagnosed with co-occurring Sotos syndrome (OMIM 117550) and CP.

Discussion

With the advancement of genetic testing and its increasing clinical application, cases where two or more genetic diseases occur simultaneously are becoming more common. This dual diagnosis can happen even with similar phenotypes. In some cases, this scenario applies to CP and genetic neurodevelopmental disorders. Generally, the prevalence of CP is 0.2%, while the prevalence of neurodevelopmental disorders such as intellectual disability and autism spectrum disorder ranges from 1.3% to 3.6%, with about 40% of these cases being genetically confirmed [23-25]. This means that roughly 0.001% to 0.003% of children have CP and a genetic neurodevelopmental disorder simultaneously. Therefore, when diagnosing patients with CP, it is important to consider not only the possibility of a monogenic cause and differential diagnosis but also the coexistence of conditions. Moreover, when CP and genetic neurodevelopmental disorders are diagnosed simultaneously, it is hard to determine which of the dual diagnoses has a greater impact on the patient’s physical impairment such as in Case 7.

Polygenic risk factors associated with CP (genetic susceptibility)

Recent research on CP genetics has increased in the 4 previously mentioned areas: monogenic, differential, gray area, and co-occurrence. However, the traditional hypothesis that genetic variants and environmental factors interact to cause the disease is still being proposed. This suggests that genetic susceptibility may exacerbate the detrimental effects of environmental insults, such that the same environmental stressors result in more significant injury due to certain genetic variants. Alternatively, these variants may predispose individuals to risk factors such as preterm birth, infection, and other conditions, thereby increasing the probability of encountering these risks [11,12]. In the first Genome-Wide Association Study of spastic CP conducted in 2021, involving 604 individuals with spastic CP and 9,798 controls, researchers identified a single nucleotide polymorphism, rs78686911, that reached genome-wide significance in association with spastic CP. Additionally, the study substantiated the significant association of numerous genomic variants with CP. These findings support the hypothesis that CP may be a polygenic disorder, attributable to the combined effects of multiple genetic variants [26]. However, validating this hypothesis is significantly challenging. Rigorous validation in a large, ethnically diverse group and further clarification through functional studies are necessary to support these preliminary findings.

CONCLUSION

We examined CP genetics from 5 different angles using case studies. Many studies have blended these 5 categories, resulting in varying diagnostic rates and making it challenging to definitively confirm a gene as the cause of CP. In some instances, a gene identified for differential diagnosis might be more appropriate. Common challenges include inconsistent reporting, different inclusion and exclusion criteria, and lack of adequate information on clinical risk factors [27]. Moreover, the timing of these tests represent cross-sectional rather than longitudinal studies. We hope future research will acknowledge these complexities and limitations and strive to use clear terminology and methodology, aiming to establish a more evidence-based or consensus-driven approach.
Nevertheless, it is evident that the number of monogenic causes of CP is steadily increasing, as is the number of treatable genetic disorders that need to be distinguished from CP. Moreover, CP often co-occurs with genetic neurodevelopmental disorders. Therefore, conducting genetic testing appropriately when diagnosing patients with CP is crucial. So, which patients should undergo the test? This question presents a complex challenge, as genetic mutations are often identified even in the presence of known environmental risk factors. As previously mentioned, in cases where a differential diagnosis of CP includes a “red flag,” genetic testing must be conducted. While it might be feasible to perform genetic testing on all patients diagnosed with CP, depending on medical and social circumstances, further research is still necessary.

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

FUNDING INFORMATION

None.

AUTHOR CONTRIBUTION

Conceptualization: Jang DH, Kim J, Schwabe AL, Lotze TE. Methodology: Jang DH, Kim J. Formal analysis: Jang DH, Kim J. Writing – original draft: Jang DH, Kim J. Writing – review and editing: Schwabe AL, Lotze TE. Approval of final manuscript: all authors.

Fig. 1.
Axial and coronal T2-weighted brain magnetic resonance images of the patient show periventricular nodular heterotopia (arrows).
arm-240081f1.jpg
Fig. 2.
Sagittal T1-weighted brain magnetic resonance images of the patient show interval development of atrophy in the cerebellar vermis and hemispheres at ages 1 year (A), 5 years (B), and 7 years (C).
arm-240081f2.jpg
Fig. 3.
Axial T2-fluid attenuated inversion recovery brain magnetic resonance images of the patient show posthemorrhagic ventricular enlargement.
arm-240081f3.jpg
Table 1.
Red flags for genetic testing in cerebral palsy diagnosis
No history of perinatal risk factors for brain injury
A pattern of disease inheritance or consanguinity
Developmental regression
Progressive neurological symptoms
Paroxysmal motor symptoms or marked fluctuation of motor symptoms
Isolated generalized hypotonia
Prominent ataxia
Eye movement abnormalities (e.g., oculogyria, oculomotor apraxia, or paroxysmal saccadic eye-head movements)
Normal magnetic resonance imaging findings
Imaging abnormalities isolated to the globus pallidus
Pure paraplegia
Signs of peripheral neuromuscular disease (reduced or absent reflexes, sensory loss)

REFERENCES

1. The definition and classification of cerebral palsy. Dev Med Child Neurol 2007;49(s109): 1-44.
crossref pmid
2. Graham HK, Rosenbaum P, Paneth N, Dan B, Lin JP, Damiano DL, et al. Cerebral palsy. Nat Rev Dis Primers 2016;2:15082.
crossref pmid pmc pdf
3. Colver A, Fairhurst C, Pharoah PO. Cerebral palsy. Lancet 2014;383:1240-9.
crossref pmid
4. Michael-Asalu A, Taylor G, Campbell H, Lelea LL, Kirby RS. Cerebral palsy: diagnosis, epidemiology, genetics, and clinical update. Adv Pediatr 2019;66:189-208.
crossref pmid
5. Vriend I, Oegema R. Genetic causes underlying grey matter heterotopia. Eur J Paediatr Neurol 2021;35:82-92.
crossref pmid
6. Oskoui M, Gazzellone MJ, Thiruvahindrapuram B, Zarrei M, Andersen J, Wei J, et al. Clinically relevant copy number variations detected in cerebral palsy. Nat Commun 2015;6:7949.
crossref pmid pmc pdf
7. Jin SC, Lewis SA, Bakhtiari S, Zeng X, Sierant MC, Shetty S, et al. Mutations disrupting neuritogenesis genes confer risk for cerebral palsy. Nat Genet 2020;52:1046-56.
pmid pmc
8. Srivastava S, Lewis SA, Cohen JS, Zhang B, Aravamuthan BR, Chopra M, et al. Molecular diagnostic yield of exome sequencing and chromosomal microarray in cerebral palsy: a systematic review and meta-analysis. JAMA Neurol 2022;79:1287-95.
crossref pmid pmc
9. McMichael G, Bainbridge MN, Haan E, Corbett M, Gardner A, Thompson S, et al. Whole-exome sequencing points to considerable genetic heterogeneity of cerebral palsy. Mol Psychiatry 2015;20:176-82.
crossref pmid pdf
10. Segel R, Ben-Pazi H, Zeligson S, Fatal-Valevski A, Aran A, Gross-Tsur V, et al. Copy number variations in cryptogenic cerebral palsy. Neurology 2015;84:1660-8.
crossref pmid
11. Fahey MC, Maclennan AH, Kretzschmar D, Gecz J, Kruer MC. The genetic basis of cerebral palsy. Dev Med Child Neurol 2017;59:462-9.
crossref pmid pdf
12. May HJ, Fasheun JA, Bain JM, Baugh EH, Bier LE, Revah-Politi A; New York Presbyterian Hospital/Columbia University Irving Medical Center Genomics Team; et al. Genetic testing in individuals with cerebral palsy. Dev Med Child Neurol 2021;63:1448-55.
pmid pmc
13. MacLennan AH, Lewis S, Moreno-De-Luca A, Fahey M, Leventer RJ, McIntyre S, et al. Genetic or other causation should not change the clinical diagnosis of cerebral palsy. J Child Neurol 2019;34:472-6.
crossref pmid pmc pdf
14. Fehlings DL, Zarrei M, Engchuan W, Sondheimer N, Thiruvahindrapuram B, MacDonald JR, et al. Comprehensive whole-genome sequence analyses provide insights into the genomic architecture of cerebral palsy. Nat Genet 2024;56:585-94.
crossref pmid pdf
15. van Eyk CL, Webber DL, Minoche AE, Pérez-Jurado LA, Corbett MA, Gardner AE, et al. Yield of clinically reportable genetic variants in unselected cerebral palsy by whole genome sequencing. NPJ Genom Med 2021;6:74.
crossref pmid pmc
16. Li N, Zhou P, Tang H, He L, Fang X, Zhao J, et al. In-depth analysis reveals complex molecular aetiology in a cohort of idiopathic cerebral palsy. Brain 2022;145:119-41.
crossref pmid pmc pdf
17. Matthews AM, Blydt-Hansen I, Al-Jabri B, Andersen J, Tarailo-Graovac M, Price M, et al.; TIDE BC; United for Metabolic Diseases and the CAUSES Study. Atypical cerebral palsy: genomics analysis enables precision medicine. Genet Med 2019;21:1621-8.
crossref pmid pdf
18. Pearson TS, Pons R, Ghaoui R, Sue CM. Genetic mimics of cerebral palsy. Mov Disord 2019;34:625-36.
crossref pmid pdf
19. Zouvelou V, Yubero D, Apostolakopoulou L, Kokkinou E, Bilanakis M, Dalivigka Z, et al. The genetic etiology in cerebral palsy mimics: the results from a Greek tertiary care center. Eur J Paediatr Neurol 2019;23:427-37.
crossref pmid
20. Takezawa Y, Kikuchi A, Haginoya K, Niihori T, Numata-Uematsu Y, Inui T, et al. Genomic analysis identifies masqueraders of full-term cerebral palsy. Ann Clin Transl Neurol 2018;5:538-51.
crossref pmid pmc pdf
21. Lee RW, Poretti A, Cohen JS, Levey E, Gwynn H, Johnston MV, et al. A diagnostic approach for cerebral palsy in the genomic era. Neuromolecular Med 2014;16:821-44.
crossref pmid pmc pdf
22. Friedman JM, van Essen P, van Karnebeek CDM. Cerebral palsy and related neuromotor disorders: overview of genetic and genomic studies. Mol Genet Metab 2022;137:399-419.
crossref pmid
23. Francés L, Quintero J, Fernández A, Ruiz A, Caules J, Fillon G, et al. Current state of knowledge on the prevalence of neurodevelopmental disorders in childhood according to the DSM-5: a systematic review in accordance with the PRISMA criteria. Child Adolesc Psychiatry Ment Health 2022;16:27.
crossref pmid pmc
24. Wu D, Li R. Genetic analysis of neurodevelopmental disorders in children. Front Child Adolesc Psychiatry 2022;1:987339.
crossref
25. Kim J, Lee J, Jang DH. Combining chromosomal microarray and clinical exome sequencing for genetic diagnosis of intellectual disability. Sci Rep 2023;13:22807.
crossref pmid pmc pdf
26. Hale AT, Akinnusotu O, He J, Wang J, Hibshman N, Shannon CN, et al. Genome-wide association study identifies genetic risk factors for spastic cerebral palsy. Neurosurgery 2021;89:435-42.
crossref pmid pmc pdf
27. Pham R, Mol BW, Gecz J, MacLennan AH, MacLennan SC, Corbett MA, et al. Definition and diagnosis of cerebral palsy in genetic studies: a systematic review. Dev Med Child Neurol 2020;62:1024-30.
crossref pmid pdf
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