Abstract
BACKGROUND AND PURPOSE:
Zhu-Tokita-Takenouchi-Kim syndrome is a severe multisystem malformation disorder characterized by developmental delay and a diverse array of congenital abnormalities. However, these currently identified phenotypic components provide limited guidance in diagnostic situations, due to both the nonspecificity and variability of these features. Here we report a case series of 7 individuals with a molecular diagnosis of Zhu-Tokita-Takenouchi-Kim syndrome, 5 ascertained by their presentation with the neuronal migration disorder, periventricular nodular heterotopia.
MATERIALS AND METHODS:
Individuals with a molecular diagnosis of Zhu-Tokita-Takenouchi-Kim syndrome were recruited from 2 sources, a high-throughput sequencing study of individuals with periventricular nodular heterotopia or from clinical diagnostic sequencing studies. We analyzed available brain MR images of recruited individuals to characterize periventricular nodular heterotopia distribution and to identify the presence of any additional brain abnormalities.
RESULTS:
Pathogenic variants in SON, causative of Zhu-Tokita-Takenouchi-Kim syndrome, were identified in 7 individuals. Brain MR images from these individuals were re-analyzed. A characteristic set of imaging anomalies in addition to periventricular nodular heterotopia was identified, including the elongation of the pituitary stalk, cerebellar enlargement with an abnormally shaped posterior fossa, rounding of the caudate nuclei, hippocampal malformations, and cortical anomalies including polymicrogyria or dysgyria.
CONCLUSIONS:
The recurrent neuroradiologic changes identified here represent an opportunity to guide diagnostic formulation of Zhu-Tokita-Takenouchi-Kim syndrome on the basis of brain MR imaging evaluation.
Understanding of the distinctive phenotypic features of a rare syndromic disorder facilitates earlier diagnosis. This is particularly evident when genomic sequencing studies yield ambiguous findings, such as variants of uncertain significance (VUSs) in syndromic genes.1 Moreover, characteristic phenotypic features, or “phenotypic handles,” often guide focused investigations. Rare phenotypically heterogeneous disorders present a considerable challenge in this respect due to prior ascertainment biases and limited cohort sizes.
Zhu-Tokita-Takenouchi-Kim (ZTTK) syndrome (OMIM #617140) is a rare phenotypically heterogeneous disorder characterized by developmental delay and a wide array of congenital multisystem anomalies. Haploinsufficiency of SON, mediated by either truncating variants or whole-gene deletions, has been identified as the underlying cause of ZTTK syndrome.2-5 SON encodes the RNA-binding protein SON and is constitutively expressed, though expression is enriched during early brain development.3 SON has been implicated in the splicing of pre-mRNA and has been shown to have a pivotal role in the regulation of pluripotency, cell-cycle progression, neurogenesis, and transcriptional regulation through its DNA-binding activity.6-10
The phenotypic spectrum of ZTTK syndrome has been highlighted in descriptions of >60 individuals.2-5,11-14 The core neurologic phenotypes identified include moderate-to-severe intellectual disability, hypotonia, and epilepsy. Brain MR imaging, available for 41 published patients, typically demonstrate a range of nonspecific structural abnormalities.12 Ventriculomegaly (24/41) is most frequently observed, with cortical dysplasia (7/41) and abnormalities of the corpus callosum (18/41), cerebellum (6/41), and cerebral WM (6/41) also being noted.12 Growth retardation and neonatal feeding difficulties are frequently reported. Dysmorphic facial features are observed in all cases; however, these features are variable, with no consistent pattern observed.12 Hearing and visual impairments as well as a range of cardiac, gastrointestinal, musculoskeletal, and renal abnormalities are common. The phenotypic features associated with ZTTK syndrome are both nonspecific and highly variable, presenting a diagnostic challenge.
Here we report 7 unrelated individuals with a confirmed molecular diagnosis of ZTTK syndrome. All individuals have periventricular nodular heterotopia (PVNH), a distinctive phenotypic feature on brain MR imaging, which we propose is an underappreciated element of ZTTK syndrome. PVNH is a neuronal migration disorder characterized by heterotopic GM nodules abutting the margins of the lateral ventricles. PVNH is an infrequent feature of many rare genetic disorders, with a small number manifesting it as a consistent association, as summarized by Vriend and Oegema.15 The major genetic locus for PVNH is FLNA, with pathogenic variants estimated to account for one-quarter of cases.16
In addition to PVNH, we observed a previously unrecognized characteristic pattern of additional structural brain anomalies in ZTTK syndrome. These include abnormalities of the pituitary gland, caudate nuclei, and hippocampi and cerebral sulcation and gyrification. Our characterization of brain imaging findings in ZTTK syndrome will improve diagnostic formulation, particularly in circumstances in which genetic sequencing studies are not possible or identify a VUS in SON.
MATERIALS AND METHODS
Cohort Recruitment and Ethics
A cohort of 7 unrelated individuals with pathogenic variants in SON was assembled by 2 approaches. Individuals 1–5 were ascertained through a physician-initiated referral into a high-throughput sequencing study of individuals with PVNH. This cohort was pre-emptively screened for pathogenic variants in FLNA. Individuals 6 and 7 were identified through diagnostic sequencing studies and were included after demonstration of a pathogenic SON variant. Individuals 1–3 were previously analyzed by Heinzen et al,17 however, the pathogenic SON variants described here failed validation but are now confirmed as true-positives. Individuals 3 and 4 were reported in brief by Dingemans et al.12 This study was approved by the Health and Disability Ethics Committee of New Zealand (13-STH/56).
Sequence Analysis
Genomic DNA from probands and parents was extracted from peripheral blood for either whole-exome sequencing (WES) or whole-genome sequencing (WGS), summarized in Table 1. WES libraries were constructed for individuals 1–3 by Otogenetics (Atlanta) and sequenced using a HiSeq 2500. WGS libraries were prepared for individuals 4 and 5 using a TruSeq DNA Nano v2.5 kit and sequenced using a HiSeq X Ten at the Kinghorn Center for Clinical Genomics (Sydney). Paired-end FASTQ reads were aligned to the human reference GRCh37 using BWA MEM (Version 0.7.17; https://github.com/bwa-mem2/bwa-mem2) and outputted in BAM format.
Table 1:
Individuals |
|||||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | |
cDNA (NM_138927.2) | c.5753_5756del | c.2357_2358dup | c.457del | c.1881_1882del | c.5753_5756del | c.3852_3856del | WGD |
Protein (NP_620305.2) | p.Val1918 Glufs*87 | p.Ala787* | p.Asp153Ilefs*4 | p.Val629Alafs*56 | p.Val1918Glufs*87 | p.Met1284Ilefs*2 | WGD |
Inheritance | De novo | De novo | De novo | De novo | Unknown | Unknown | De novo |
Sequencing method | WES | WES | WES | WGS | WGS | WES | CMA |
Capture platform | SureSelect V5 (Agilent) | SeqCap EZ V2 (Roche) | SureSelect V5+UTRs (Agilent) | No capture | No capture | SureSelect QXT CRE V2 (Agilent) | SurePrint G3 CGH ISCA V2 (Agilent) |
Note:—WGD indicates whole-genome deletion; CMA, chromosomal microarray.
Single sample variant calls were produced using GATK HaplotypeCaller (Version 3.8; https://github.com/broadinstitute/gatk), in genomic VCF format. Genomic VCFs were then jointly genotyped using GATK GenotypeGVCFs producing a multisample VCF. Annotation with gene context information was performed using SnpEff (Version 4.3S; https://github.com/pcingola/SnpEff), and additional information from the gnomAD project (Version 2.1.1; https://gnomad.broadinstitute.org/)18 was added using BCFtools annotate (Version 1.9; https://github.com/samtools/bcftools).
Variant Prioritization
Sequence data from individuals 1–5 were filtered under a monogenic disease model. Variants were required to have a read depth of >7 and an alternative allele percentage of >20%. Missense and predicted loss-of-function variants were selected. Common variants with a gnomAD allele frequency of >0.001 were removed.
For individuals 1–4, parental sequence data were available, permitting identification of de novo variants. For individual 5, parental data were unavailable, so a restrictive disease-gene filtering model was implemented. Variants in genes with a dominant disease phenotype were retained based on data from the Developmental Disorder Genotype-Phenotype database.19 Remaining variants for all 5 individuals were interpreted on the basis of the American College of Medical Genetics and Genomics guidelines.1
Neuroradiologic Evaluation
Brain MR images were systematically reviewed by a pediatric neuroradiologist (S.M.) with >20 years of experience in the imaging of brain dysmorphology. Normative data for the corpus callosum20 and cerebellum21 were used to assess abnormalities of these structures.
Data Availability
Individual genomic data sets are not freely available due to restrictions imposed by the consenting process and privacy concerns.
RESULTS
Molecular Findings
De novo loss-of-function SON variants were identified for individuals 1–4, consistent with pathogenic class 5 variants causative of ZTTK syndrome.3 For individual 5, a heterozygous SON frameshift variant (NM_138927.2:c.5753_5756del) of unknown inheritance was identified, which was classified as a class 5 pathogenic variant based on recurrence in other published cases of ZTTK syndrome.3,4 Identified SON variants for individuals 1–5 were validated using polymerase chain reaction and Sanger sequencing.
Class 5 pathogenic SON variants were identified for individuals 6 and 7 before recruitment into this study. A recurrent heterozygous frameshift variant (NM_138927.2:c.3852_3856del)3 of unknown inheritance was identified for individual 6 and a de novo heterozygous whole-gene deletion (NC_000021.8:g.(34849772_34911445)_(35109752_35171289del) was identified for individual 7. Sequencing results are summarized in Table 1.
Clinical Descriptions
Individual 1.
Individual 1 is a female who presented with hypotonia and mild global developmental delay at 10 months of age. Intrauterine growth restriction occurred during pregnancy. Delivery was by cesarean delivery, and her weight and height were both below the 3rd centile. Poor feeding and febrile seizures were noted, with hemiplegic migraine attacks occurring from 6 years of age. She was diagnosed with mild intellectual disability in childhood. She had a ridged, sagittal suture, broad nasal bridge, anteverted nares, a small chin, and cupped posteriorly rotated ears.
Recurrent respiratory and middle ear infections occurred throughout childhood. At 13 years of age, she developed end-stage polyuric renal disease, requiring renal transplantation. When last examined at 17 years of age, her weight and head circumference were in the 50th centile, with height below the 3rd centile. She had hearing loss, hypermetropia, and convergent strabismus. Echocardiogram findings were normal.
Individual 2.
Individual 2 is a female who presented in early childhood with global developmental delay with severe intellectual disability and hypotonia. She had an irregular whole-body tremor from birth. Poor feeding occurred from early infancy, requiring the insertion of a gastrostomy tube at 6 years of age. Myoclonic seizures with fever began at 6 years of age, developing into multifocal myoclonic and clonic seizures by 11 years of age. At 13 years of age, she had an episode of status epilepticus. Dysmorphic features included a flat nasal bridge, broad nose, and anteverted nares. Divergent strabismus and nonsensorineural deafness were also noted.
When last examined at 28 years of age, her height was below the 1st centile, her weight was below the 3rd centile, and her head circumference was between the 2nd and 50th centile. She could walk with assistance but was nonverbal and displayed self-harm behaviors. Partial second- and third-digit syndactyly was noted. She had bilateral hypoplastic kidneys and osteopenia. She developed heart failure after an episode of sepsis.
Individual 3.
Individual 3 is a male who presented with global developmental delay with moderate intellectual disability. He had asthma and recurrent respiratory infections throughout infancy. Through childhood, he developed selective mutism and disrupted sleep patterns, as well as epilepsy with mixed seizure types. Major feeding difficulties occurred throughout his life, and he is now predominantly fed by gastrostomy.
During childhood, his height tracked below the 2nd centile, and his weight, between the 9th and 25th centiles. His dysmorphic features included down-slanting palpebral fissures and epicanthal folds. Craniosynostosis of the left coronal suture was observed. Other congenital anomalies included astigmatism, joint hypermobility, and a unilateral multicystic kidney.
Individual 4.
Individual 4 is a female who presented with moderate developmental delay and hypotonia. When last examined at 4 years of age, her height and weight were below the 1st and 3rd centiles, respectively. Dysmorphic features included down-slanting palpebral fissures, epicanthal folds, and a flat philtrum. Feeding difficulties were pronounced during infancy. Additional anomalies included fourth and fifth digit camptodactyly, sensorineural hearing loss, hypermetropia and astigmatism, strabismus, and a horseshoe kidney. She developed coronal craniosynostosis, requiring surgical intervention. After the operation, she developed seizures, well-controlled with levetiracetam.
Individual 5.
Individual 5 is a female who presented with moderate developmental delay with intellectual disability and hypotonia in early childhood. Notable facial features included frontal bossing and epicanthal folds. Conductive hearing impairment and strabismus were noted. She required surgical intervention for right-hip dysplasia. When last examined at 5 years 8 months of age, her height was at the 25th centile, her weight, in the 3rd centile, and her head circumference, in the 90th centile.
Individual 6.
Individual 6 is a male who presented with suspected seizures after several episodes of confusion, later diagnosed as a concussion. He was delivered at term after an uneventful pregnancy. Early childhood developmental milestones were normal, but he was diagnosed with mild intellectual disability during his early school years. When examined at 14 years of age, his height and weight were between the 10th and 25th centiles. No dysmorphic facial features were noted, but he had fifth finger and toe clinodactyly as well as elbow extension limitation. A ventricular septal defect was noted on an echocardiogram.
Individual 7.
Individual 7 is a female who presented prenatally with intrauterine growth restriction, breech presentation, and oligohydramnios. She was delivered at 37 weeks by cesarean delivery, with an 11th centile birth weight. During infancy she had central hypotonia with a peripheral increase in tone. At 4 years of age, she had onset of seizures, with an episode of status epilepticus. Her development was globally delayed, with suspected moderate intellectual disability and autism spectrum disorder.
During early childhood, her height and weight were between the 10th and 25th centiles, with a head circumference at the 73rd centile. She had down-slanting and short palpebral fissures, epicanthal folds, smooth philtrum, small mouth with thin lips, and low-set ears with diagonally creased earlobes. Additional anomalies included developmental hip dysplasia and a ventricular septal defect.
Neuroradiologic Findings
A prior diagnosis of PVNH was available for individuals 1–5 before recruitment into this study. The initial goal of neuroradiologic re-evaluation was to categorize the PVNH of these individuals and assess whether it demonstrates characteristics distinctive to ZTTK syndrome. However, after re-evaluation of MR images, PVNH was also identified for individuals 6 and 7, who were recruited solely on the basis of their molecular diagnosis of ZTTK syndrome.
Heterotopic nodules were sparse, small, and predominantly frontal in all 7 individuals. They were bilateral in 5 of 7 cases. Similarly, sparse and small nodules were identified in the posterior infrasylvian regions in 3 of 7 cases. MR images depicting the PVNH distribution for each individual are presented in Fig 1. No nodules were observed in the occipital horns.
In addition to PVNH, consistent involvement of abnormalities in specific structures were identified in all 7 individuals, summarized in Table 2. These included malformations of the corpus callosum, cerebellum, pituitary stalk, caudate nuclei, hippocampi, and cortex.
Table 2:
Individuals |
|||||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | |
PVNH | Sparse; bilateral; FH | Sparse; bilateral; FH, midbody, peritrigonal | Sparse; bilateral; FH, TH | Sparse; bilateral; FH, midbody | Sparse; bilateral; FH, TH, peritrigonal | Single; unilateral; right FH | Sparse; unilateral; left FH |
Vermis height (centile)21 | 50–97 | >97 | >97 | >97 | >97 | 50 | 50 |
Vermis diameter (centile)21 | >97 | 50–97 | >97 | >97 | >97 | >97 | >97 |
Cerebellar tonsils | Normal | Normal | Normal | Herniated | Normal | Herniated | Normal |
Posterior fossa | Abnormal shape | Abnormal shape; cyst | Normal | Abnormal shape; cyst | Abnormal shape | Abnormal shape; cyst | Normal |
Corpus callosum diameter (centile)20 | <3 | 50–97 | <3 | 50–97 | 50–97 | <3 | 50–97 |
Genu diameter (centile)20 | 3–50 | <3 | <3 | <3 | 50–97 | <3 | <3 |
Pituitary gland | Small | Small | Small | Small | Small | Normal | Normal |
Pituitary stalk | Normal | Elongated | Elongated | Elongated | Elongated | Normal | Elongated |
Caudate nuclei | Dysmorphic | Dysmorphic | Dysmorphic | Dysmorphic | Dysmorphic | Normal | Small |
Caudate heads | Malrotated | Malrotated | Malrotated | Malrotated | Malrotated | Large | Normal |
Hippocampi | Small and malrotated | Small and malrotated | Small and malrotated | Small and malrotated | Normal sized; LIA | Normal sized; LIA | Small; LIA |
Lentiform nucleus | Normal-sized | Small globus pallidus | Normal-sized | Small globus pallidus | Small | Small globus pallidus | Normal-sized |
Lateral ventricles | Dysmorphic; large FH; small OH | Dysmorphic; large FH and OH | Dysmorphic; large FH | Dysmorphic; large FH | Dysmorphic; large FH | Dysmorphic; large OH | Large FH |
Third ventricle | Small | Dilated | Small | Dilated | Small | Normal | Small |
Fourth ventricle | Small | Small | Small | Small | Small | Small | Small |
Cortex malformations | Abnormal temporal lobe sulcation | Bilateral PS-PMG; thick PS cortex | Bilateral PS-dysgyria; thick PS cortex | Bilateral PS-PMG | Bilateral PS-PMG | Bilateral PS-dysgyria; thick PS cortex | Thick PS cortex |
WM volume | Normal | Decreased | Decreased | Decreased | Normal | Normal | Decreased |
Myelination | Normal | Normal | Delayed | Normal | Delayed | Normal | Delayed |
Note:—FH indicates frontal horns; TH, temporal horns; OH, occipital horns; PS, perisylvian; PMG, polymicrogyria; LIA, lack of internal architecture.
Corpus callosum abnormalities were frequently observed and included short anterior-posterior diameter (<3 centiles, 3 of 7) and thinning of the corpus callosum, particularly at the genu (<3 centiles, 5 of 7).20 Dysmorphic corpora callosa were observed in 2 individuals, depicted in Fig 2C, -F. Abnormalities of the pituitary gland and stalk were also seen, with glands appearing small (5 of 7), with a markedly elongated pituitary stalk (5 of 7). The pituitary stalk elongation observed in individuals may relate to platybasia or a similar anomaly at the base of the skull; however, this was not assessed in the current study. Examples of identified corpus callosum and pituitary abnormalities are depicted in Fig 2A–C.
The cerebellum was large in all individuals, with 4 individuals above the 97th centile for craniocaudal vermis height and 6 individuals above the 97th centile for anterior-posterior vermis diameter.21 The cerebellar tonsils were herniated through the foramen magnum in 2 of 7 individuals (>3 mm below the level of the foramen magnum). For individual 4, MR images were available at 2 time points, revealing a normal-sized cerebellum at 16 days of age. However, by 16 months of age, the cerebellum was overgrown with tonsillar herniation. Appearances most consistent with posterior fossa cysts were observed in 3 of 7 individuals. The posterior fossa was “box-shaped” in 5 of 7 individuals due to a steepened tentorial angle and may be related to an apparent increase in cerebellar size in these individuals. Representative MR imaging slices showing posterior fossa abnormalities are presented in Fig 2F–H.
The caudate nuclei were dysmorphic in all individuals, with caudate heads appearing malrotated and globular in 5 individuals, depicted in Fig 2L, -M. Abnormalities in the lentiform nucleus were frequently observed, restricted to the globus pallidus in 3 individuals and generalized in an additional case. Abnormal hippocampi were seen in all individuals, appearing small and malrotated in 4 individuals (Fig 2E). The hippocampi of the remaining 3 individuals showed a lack of internal architecture (Fig 2D). The thalami were normal in all individuals.
The lateral ventricles were dysmorphic and dilated in all individuals, affecting both the frontal (6 of 7) and occipital (3 of 7) horns. Further abnormalities of the ventricular system were also observed, with a small fourth ventricle in all individuals, likely secondary to enlargement of the cerebellum. A generalized decrease in WM volume was seen in 4 individuals, with delays in age-appropriate myelination in 3 individuals.
Malformations in cerebral cortical gyrification and sulcation were seen in all individuals. Examples are depicted in Fig 2I, -J, -L, -N, -O. These cortical malformations included bilateral perisylvian polymicrogyria (3 of 7), bilateral perisylvian dysgyria or polymicrogyria-like cortical dysplasia (2 of 7), and perisylvian cortex thickening (3 of 7). Disorganized sulcation was also observed in 2 individuals, appearing to be especially localized to the temporal lobe in individual 1.
DISCUSSION
ZTTK syndrome is a rare disorder with a wide phenotypic spectrum, posing diagnostic challenges in the absence of genomic testing. Instead, high-throughput sequence screening of SON has been suggested as the only practical way of diagnosing ZTTK syndrome.12-14 The cohort described here manifests the core phenotypic features of ZTTK syndrome, including developmental delay, seizures, and dysmorphic features. However, this core presentation remains both nonspecific and highly variable, offering limited utility for recognition in a clinical setting.
We identified PVNH as an imaging feature that may aid clinical recognition of ZTTK syndrome and analyzed a cohort of 7 cases with this phenotypic feature. The distribution of FLNA-associated PVNH overlaps that seen with the frontal predominant distribution of ZTTK syndrome. However, FLNA-associated nodules are typically larger and more contiguous and do not frequently extend to the temporal horns.16 In addition, the co-occurrence of polymicrogyria and other cortical malformations distinguishes the pattern observed in ZTTK syndrome from FLNA-associated PVNH. However, these features alone are not pathognomonic of this condition because similar combinations of features have been previously observed, such as in individuals with MAP1B- and NEDD4L-associated cortical malformations.17,22,23
Three additional instances of PVNH in ZTTK syndrome have been described previously, of a total of >41 individuals with MR imaging screening.3,11,12,24 This observation likely represents an underestimate of the true prevalence of PVNH in ZTTK syndrome because previous studies did not report PVNH as a discrete neuroradiologic entity. Additionally, the subtle nature of the sparse and isolated heterotopia identified here could lead to underreporting, as occurred for individuals 6 and 7.25,26
Neuroradiologic assessment of MR imaging data led to the identification of a set of brain structures with recurrent abnormalities. These features may suggest the diagnosis of ZTTK syndrome in situations in which hypothesis-free high-throughput sequencing is not available. Additionally, these features may support the pathogenic nature of VUS identified in SON, such as the multiple missense variants that have now been reported in conjunction with ZTTK syndrome-like features.4,11,12 Interestingly, craniosynostosis was also noted in 2 patients, both involving the coronal sutures. Craniosynostosis has been previously reported in individuals with ZTTK syndrome and could represent another phenotypic feature overrepresented in this disorder.3,11
Most individuals reported in this study were recruited based on the presence of PVNH with a subsequent molecular diagnosis, representing a potential recruitment bias. As a consequence, the neuroradiologic signature identified may be associated with PVNH, with no direct association with ZTTK syndrome. The frequency of these newly identified neuroradiologic features in ZTTK syndrome will be best assessed through studying individuals recruited purely on the basis of a molecular diagnosis. Re-assessing published ZTTK cohorts for these imaging features may validate the clinical utility of the observations made in this cohort.3,4,11,12
CONCLUSIONS
We identify a recurrent set of cortical malformations in a cohort of individuals with ZTTK syndrome. These imaging features have the potential to aid in the diagnosis of ZTTK syndrome in the absence of high-throughput sequencing.
Acknowledgments
Patients and their families are thanked for their willing participation. The authors wish to acknowledge access to New Zealand eScience Infrastructure high-performance computing facilities for the processing of whole-exome and genome sequence data in this research.
ABBREVIATIONS:
- PVNH
periventricular nodular heterotopia
- VUS
variant of uncertain significance
- WES
whole-exome sequencing
- WGS
whole-genome sequencing
- ZTTK syndrome
Zhu-Tokita-Takenouchi-Kim syndrome
Footnotes
S.P. Robertson is supported by the Health Research Council and Cure Kids. B.J. Halliday is supported by a University of Otago Doctoral Scholarship. R.J. Leventer is supported by a Melbourne Children’s Clinician Scientist Fellowship. I.E. Scheffer is supported by the Australian National Health and Medical Research Council, the Australian Medical Research Future Fund, and the Australian Epilepsy Research Fund.
Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org.
References
- 1.Richards S, Aziz N, Bale S, et al. ; ACMG Laboratory Quality Assurance Committee. Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 2015;17:405–24 10.1038/gim.2015.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zhu X, Petrovski S, Xie P, et al. Whole-exome sequencing in undiagnosed genetic diseases: Interpreting 119 trios. Genet Med 2015;17:774–81 10.1038/gim.2014.191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kim JH, Shinde DN, Reijnders MR, et al. ; Deciphering Developmental Disorders Study. De novo mutations in SON disrupt RNA splicing of genes essential for brain development and metabolism, causing an intellectual-disability syndrome. Am J Hum Genet 2016;99:711–19 10.1016/j.ajhg.2016.06.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tokita MJ, Braxton AA, Shao Y, et al. De novo truncating variants in SON cause intellectual disability, congenital malformations, and failure to thrive. Am J Hum Genet 2016;99:720–27 10.1016/j.ajhg.2016.06.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Takenouchi T, Miura K, Uehara T, et al. Establishing SON in 21q22.11 as a cause a new syndromic form of intellectual disability: possible contribution to Braddock-Carey syndrome phenotype. Am J Med Genet A 2016;170:2587–90 10.1002/ajmg.a.37761 [DOI] [PubMed] [Google Scholar]
- 6.Sharma A, Markey M, Torres-Muñoz K, et al. SON maintains accurate splicing for a subset of human pre-mRNAs. J Cell Sci 2011;124:4286–98 10.1242/jcs.092239 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ahn EE, DeKelver RC, Lo MC, et al. SON controls cell-cycle progression by coordinated regulation of RNA splicing. Mol Cell 2011;42:185–98 10.1016/j.molcel.2011.03.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Livyatan I, Meshorer E. SON sheds light on RNA splicing and pluripotency. Nat Cell Biol 2013;15:1139–40 10.1038/ncb2851 [DOI] [PubMed] [Google Scholar]
- 9.Ueda M, Matsuki T, Fukada M, et al. Knockdown of SON, a mouse homologue of the ZTTK syndrome gene, causes neuronal migration defects and dendritic spine abnormalities. Mol Brain 2020;13:1–9 10.1186/s13041-020-00622-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kim JH, Baddoo MC, Park EY, et al. SON and its alternatively spliced isoforms control MLL complex-mediated H3K4me3 and transcription of leukemia-associated genes. Mol Cell 2016;61:859–73 10.1016/j.molcel.2016.02.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kushary ST, Revah-Politi A, Barua S, et al. ZTTK syndrome: clinical and molecular findings of 15 cases and a review of the literature. Am J Med Genet A 2021;185:3740–53 10.1002/ajmg.a.62445] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dingemans AJ, Truijen KM, Kim JH, et al. Establishing the phenotypic spectrum of ZTTK syndrome by analysis of 52 individuals with variants in SON. Eur J Hum Genet 2022;30:271–81 10.1038/s41431-021-00960-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kim JH, Park EY, Chitayat D, et al. SON haploinsufficiency causes impaired pre-mRNA splicing of CAKUT genes and heterogeneous renal phenotypes. Kidney Int 2019;95:1494–1504 10.1016/j.kint.2019.01.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Slezak R, Smigiel R, Rydzanicz M, et al. Phenotypic expansion in Zhu-Tokita-Takenouchi-Kim syndrome caused by de novo variants in the SON gene. Mol Genet Genomic Med 2020;8:1–7 10.1002/mgg3.1432 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Vriend I, Oegema R. Genetic causes underlying grey matter heterotopia. Eur J Paediatr Neurol 2021;35:82–92 10.1016/j.ejpn.2021.09.015 [DOI] [PubMed] [Google Scholar]
- 16.Parrini E, Ramazzotti A, Dobyns WB, et al. Periventricular heterotopia: phenotypic heterogeneity and correlation with Filamin a mutations. Brain 2006;129:1892–1906 10.1093/brain/awl125 [DOI] [PubMed] [Google Scholar]
- 17.Heinzen EL, O’Neill AC, Zhu X, et al. ; for the Epi4K Consortium. De novo and inherited private variants in MAP1B in periventricular nodular heterotopia. PLoS Genet 2018;14:e1007281–23 10.1371/journal.pgen.1007281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Karczewski KJ, Francioli LC, MacArthur DG. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 2020;581:434–43 10.1530/ey.17.14.3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Thormann A, Halachev M, McLaren W, et al. Flexible and scalable diagnostic filtering of genomic variants using G2P with Ensembl VEP. Nat Commun 2019;10:2373 10.1038/s41467-019-10016-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Garel C, Cont I, Alberti C, et al. Biometry of the corpus callosum in children: MR imaging reference data. AJNR Am J Neuroradiol 2011;32:1436–43 10.3174/ajnr.A2542 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Jandeaux C, Kuchcinski G, Ternynck C, et al. Biometry of the cerebellar vermis and brain stem in children: MR imaging reference data from measurements in 718 children. AJNR Am J Neuroradiol 2019;40:1835–41 10.3174/ajnr.A6257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Broix L, Jagline H, Ivanova E, et al. ; Deciphering Developmental Disorders Study. Mutations in the HECT domain of NEDD4L lead to AKT-mTOR pathway deregulation and cause periventricular nodular heterotopia. Nat Genet 2016;48:1349–58 10.1038/ng.3676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wieck G, Leventer RJ, Squier WM, et al. Periventricular nodular heterotopia with overlying polymicrogyria. Brain 2005;128:2811–21 10.1093/brain/awh658 [DOI] [PubMed] [Google Scholar]
- 24.Quintana Castanedo L, Sánchez Orta A, Maseda Pedrero R, et al. Skin and nails abnormalities in a patient with ZTTK syndrome and a de novo mutation in SON. Pediatr Dermatol 2020;37:517–19 10.1111/pde.14113 [DOI] [PubMed] [Google Scholar]
- 25.Conti V, Carabalona A, Pallesi-Pocachard E, et al. Periventricular heterotopia in 6q terminal deletion syndrome: role of the C6orf70 gene. Brain 2013;136:3378–94 10.1093/brain/awt249 [DOI] [PubMed] [Google Scholar]
- 26.Myers KA, Mandelstam SA, Ramantani G, et al. The epileptology of Koolen-de Vries syndrome: electro-clinico-radiologic findings in 31 patients. Epilepsia 2017;58:1085–94 10.1111/epi.13746 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Individual genomic data sets are not freely available due to restrictions imposed by the consenting process and privacy concerns.