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Article

Breakpoint Mapping of Symptomatic Balanced Translocations Links the EPHA6, KLF13 and UBR3 Genes to Novel Disease Phenotype

by
Victor Murcia Pienkowski
1,
Marzena Kucharczyk
2,
Małgorzata Rydzanicz
1,
Barbara Poszewiecka
3,
Katarzyna Pachota
2,
Marlena Młynek
2,
Piotr Stawiński
1,
Agnieszka Pollak
1,
Joanna Kosińska
1,
Katarzyna Wojciechowska
4,
Monika Lejman
5,
Agata Cieślikowska
2,
Dorota Wicher
2,
Agnieszka Stembalska
6,
Karolina Matuszewska
7,8,
Anna Materna-Kiryluk
7,8,
Anna Gambin
3,
Krystyna Chrzanowska
2,
Małgorzata Krajewska-Walasek
2 and
Rafał Płoski
1,*
1
Department of Medical Genetics, Medical University of Warsaw, 02-106 Warsaw, Poland
2
Department of Medical Genetics, The Children’s Memorial Health Institute, 04-730 Warsaw, Poland
3
Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland
4
Department of Pediatric Hematology Oncology and Transplantology, University Children’s Hospital, 20-093 Lublin, Poland
5
Department of Pediatric Hematology Oncology and Transplantology, Medical University of Lublin, 20-093 Lublin, Poland
6
Department of Genetics, Wroclaw Medical University, 50-368 Wroclaw, Poland
7
Department of Medical Genetics, University of Medical Sciences, 60-806 Poznan, Poland
8
Centers for Medical Genetics GENESIS, Grudzieniec, 60-406 Poznan, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(5), 1245; https://doi.org/10.3390/jcm9051245
Submission received: 26 March 2020 / Revised: 19 April 2020 / Accepted: 23 April 2020 / Published: 25 April 2020
(This article belongs to the Section Clinical Laboratory Medicine)
Browse Figures
Versions Notes

Abstract

:
De novo balanced chromosomal aberrations (BCAs), such as reciprocal translocations and inversions, are genomic aberrations that, in approximately 25% of cases, affect the human phenotype. Delineation of the exact structure of BCAs may provide a precise diagnosis and/or point to new disease loci. We report on six patients with de novo balanced chromosomal translocations (BCTs) and one patient with a de novo inversion, in whom we mapped breakpoints to a resolution of 1 bp, using shallow whole-genome mate pair sequencing. In all seven cases, a disruption of at least one gene was found. In two patients, the phenotypic impact of the disrupted genes is well known (NFIA, ATP7A). In five patients, the aberration damaged genes: PARD3, EPHA6, KLF13, STK24, UBR3, MLLT10 and TLE3, whose influence on the human phenotype is poorly understood. In particular, our results suggest novel candidate genes for retinal degeneration with anophthalmia (EPHA6), developmental delay with speech impairment (KLF13), and developmental delay with brain dysembryoplastic neuroepithelial tumor (UBR3). In conclusion, identification of the exact structure of symptomatic BCTs using next generation sequencing is a viable method for both diagnosis and finding novel disease candidate genes in humans.

1. Introduction

Next generation sequencing (NGS) marked a new era in identification of rare diseases in humans [1]. However, whereas the most straightforward approach consists of analyzing single nucleotide variants (SNVs) and small insertions and deletions, the detection of structural variants (SVs) is less easy [2]. This poses a particular problem for the detection of balanced chromosomal translocations (BCTs), 26.8% of which are associated with pathogenic phenotype [3], making these patients an interesting group for the identification of new genes/loci linked to human disease.
BCTs and balanced inversions may lead to disease via three main mechanisms: (1) direct breaking of a gene which leads to haploinsufficiency [4], (2) creation of fusion genes, which may cause the expression of a new chimeric gene or affect regulatory elements—fusion genes have mostly been associated with cancer; however they are also implicated in developmental delay [5,6]; (3) change in expression of genes that were not directly damaged by the SVs, but were affected due to their location in the disrupted topologically associating domain (TAD, position effect) [7].
Here, we present six cases of de novo BCTs and one case of de novo balanced inversion in symptomatic patients. In each case, we were able to identify the exact structure of the breakpoint using shallow whole genome mate-pair sequencing. We propose that the analyzed balanced chromosomal aberrations (BCA) may be responsible for the disease in the patients.
Below, we present the clinical description of all the analyzed patients. Written consent for the research procedure was obtained from the legal guardians of the patients. In the probands accepted for the study, de novo BCTs or balanced inversions were identified through karyotyping of the patients and the parents. Other chromosomal aberrations in the patients were excluded using comparative genomic hybridization array (aCGH).

1.1. Proband 1

The boy was born at 39 weeks of the first pregnancy with an Apgar score of 10, weight 3130 g (25 to 50 c), height 53 cm (>90 c) and head circumference 35 cm (75 c). At birth, defects of the eyeballs were identified: right anophtalmia, retinal degeneration and persistent pupillary membrane in the left eye. Additionally, developmental delay (DD) was observed. The boy started talking and sitting at 12 months and started walking at the age of 3 years. The boy was referred for genetic counselling at 4 months, because of the birth defects of the eyeballs. At the age of 7 years, he spoke only short sentences. He attends a public school for blind children and presents specific abnormal behavior (shaking head and hands). On MRI, apart from right anophtalmia, elongated left eyeball and very thin optic nerves were observed.

1.2. Proband 2

The boy was born at 42 weeks of the first pregnancy with an Apgar score of 10, weight 3000 g (25 to 50 c), height 53 cm (>90 c) and a head circumference 35 cm (75 c). The patient was referred for genetic counselling due to hypotonia and dysmorphic features at the age of 2 years. Dysmorphic features included: short stature, low body weight, deep philtrum, frontal bossing, high frontal hairline, epicanthus, asymmetric palpebral fissures, down slanting palpebral fissures, flat, full cheeks, small chin.

1.3. Proband 3

The boy was referred at the age of 3.5 years for genetic counselling because of DD. At the time, he did not yet speak. He was born from the second pregnancy of young, healthy and non-consanguineous parents. His brother from the first pregnancy was intellectually normal but was affected by ventricular septal defect (VSD), atrial septal defect (ASD II) and submucosal cleft palate. The proband was born at 39th week of pregnancy with an Apgar score of 10, weight 3300 g (50 c), height 53 cm (>90 c) and a head circumference of 35 cm (50 c). His motoric development was nearly normal—he began to sit at 7 months and to walk at 14 months. During the last examination, at the age of 7.5 years, coarse facial features, short palpebral fissures, nasal bridge, cup-like ears, thin upper lip, palate high set, prognathism and narrow nails were noted. Cutis marmorata, especially on the trunk, was observed. Overall moderate DD was diagnosed. MRI revealed a constellation of abnormalities, such as left periventricular nodular heterotopias, septum pellucidum cyst and thinning of corpus callosum.

1.4. Proband 4

A 17 years old, a girl was referred for clinical evaluation to the Centre for Medical Genetics, GENESIS, in Poznan, Poland. The proband was from an uneventful pregnancy with natural delivery at 37 weeks, Apgar 9, birth weight 3200 g. She was the second child born to healthy non-consanguineous parents. There was a maternal history of miscarriages, with the first pregnancy miscarried at 16 weeks, and there were three premature deliveries from pregnancies II, III and IV at weeks 20, 23 and 23, respectively. The proband has one healthy sister from the fifth pregnancy. The family history included a first-degree cousin with intellectual disability and a congenital heart defect.
In the first two days of life, abnormal respiratory function was observed. At age 20 months, epileptic seizures occurred. Delayed speech development was also observed. Magnetic resonance imaging (MRI) of the brain at the age of 3.5 was normal. At age 13, she was hospitalized again and a diagnosis of brain dysembryoplastic neuroepithelial tumor was established. The girl was operated on, and after the surgery the seizures resolved. Psychological examination revealed severe intellectual disability. We also observed delayed speech and repetitive hand movements. At the age of 17, craniofacial dysmorphic features included only slight facial asymmetry and high-arched palate. MECP2 gene was sequenced, but no pathogenic variants were detected.

1.5. Proband 5

A 9-month-old girl with DD and dysmorphic features was admitted for evaluation. She was the third child of non-consanguineous, healthy parents, born at 39 weeks of gestational age by complicated vaginal delivery (true umbilical cord knot, green amniotic fluid). Maternal hypothyroidism and decreased fetal movements during pregnancy were noticed. Apgar score was 9 and 10 at first and fifth minutes after birth, respectively. Birth weight was 3350 g, head circumference 35 cm. After three months of normal development, progressive hypotonia, low spontaneous activity and failure to thrive had occurred. Physical examination revealed a pale, redundant skin, prominent forehead and sparse, coarse hair. Neurological examination showed a hypoactive baby, without social grinning, who could not maintain visual contact nor follow objects. Pupils were normal and reactive to light. Deep tendon reflexes were brisk with significant hypotonia. Optic microscopy of a hair sample disclosed pili torti. Neuroimaging (magnetic resonance) findings showed delayed myelination, mild ventriculomegaly, thin corpus callosum and vascular tortuosity. An abdominal ultrasound revealed multiple bladder diverticula. Based on these findings, the diagnosis of Menkes disease was made and confirmed by low serum ceruloplasmin and copper concentration.

1.6. Proband 6

The patient is a female born through natural delivery from the first pregnancy at risk of miscarriage, at 39 weeks of gestation, with a weight of 3140 g and a body length of 53 cm and with an Apgar score of 10. When the patient was 18 months old, a delay in her speech development was observed following an episode of febrile convulsions. Neurological observation of the patient revealed generalized laxity. EEG examination showed no abnormalities apart from spindle deficits. MRI scan was normal. A psychological assessment of the child revealed no features of autism. The speech pathology assessment of the patient carried out during the first years of her life showed lack of speech, poor vocalization and no interest in verbal communication with the environment. From the age of three, the child has attended kindergarten, where she requires assistance from a support teacher. The child’s speech development is delayed and she still requires speech therapy. Her vocabulary is poor. At the age of six she was referred to a genetics department with suspected Sotos syndrome.

1.7. Proband 7

The girl was born from the second pregnancy in the 40th week of gestation with an Apgar score of 10, weight 2890 g (10–25 c), height 52 cm (90 c), head circumference 35 cm (50 c). The delivery was resolved by caesarean section due to breech position. From the beginning, generalized hypotonia and developmental delay were observed. She sat at 18 months and started to walk two months later. She never spoke any words. Until 9 years, her weight was below the third centile. Due to autism and outbursts of aggression, she was put on a strict diet without gluten, milk or sugar. At the age of 13 years, the girl was referred to the Genetic Counselling Unit of the Children’s Memorial Health Institute, because of autistic features and lack of speech. Overall, global DD with no dysmorphic features was diagnosed.

2. Materials and Methods

The methods used in this project have been described previously [8]. In short, DNA was extracted using the salting out method from peripheral blood of patients with de novo BCTs, previously identified through karyotyping. Absence of additional deletions/duplications was confirmed using aCGH in all patients and their parents. Shallow genomic sequencing was carried out with Mate Pair Library Preparation Kit (Illumina, San Diego, CA, USA) with insert size 2–4 kb. Next, sequencing was performed on Illumina HiSeq 1500 (2 × 100 bp). For every patient, approximately 30 million reads were mapped to the reference genome (hg19) using bowtie2, leading to an average genomewide coverage of 5×. The locus of the translocation was identified using a custom made “R” package detecting discordant reads (paired reads where reads map to different chromosomes). Only clusters with at least 15 similar discordant reads were considered for further verification. The exact structure of the BCTs was verified by Sanger sequencing or deep amplicon sequencing (Nextera XT DNA Preparation Kit (Illumina), sequenced on Illumina Hiseq 1500 (2 × 100 bp). For the region flanking every identified breakpoint topologically associating domains (TADs) were analyzed using data obtained from Hi-C experiments on human GM12878 B-lymphoblastoid cells. The visualization of TADs was conducted using the TADeus web service [9].
Ethical approval for the study was granted by the Ethical Committee at the Medical University of Warsaw (KB/127/2017) on 08.06.2017.

3. Results

The exact structure of the BCAs of each patient including break-point positions and disrupted genes is shown in Table 1. In five out of seven patients (pat. 1,2,4,6,7) the chromosomal aberration disrupted at least one gene without a defined impact on human phenotype in OMIM [10] (EPHA6, PARD3, UBR3, MLLT10, TLE3, STK24, KLF13). In addition, in two patients (patients 3,5) the translocations disrupted NFIA and ATP7A, which are a known cause of developmental delay and Menkes disease, respectively. The structure of TADs that were directly disrupted by the translocations are shown for every proband in File S1. The exact structure of the BCAs verified by Sanger sequencing or deep amplicon sequencing are shown in Figure 1.

4. Discussion

In seven analyzed patients with de novo balanced chromosomal rearrangements (six BCTs, and one inversion) we identified 11 directly disrupted genes: EPHA6, PARD3, DLC1, NFIA, UBR3, TRAF3IP1, ATP7A, MLLT10, TLE3, STK24, KLF13. In two patients, the function of the disrupted genes is well established (NFIA, ATP7A). In the remaining five patients, the de novo event disrupted genes with a poorly defined function (EPHA6, PARD3, DLC1, UBR3, MLLT10, TLE3, STK24, KLF13). DOMINO scores, LOEUF scores, the number of loss of function variants in gnomAD and the expected number of loss of function variants in gnomAD for all the genes are presented in Table S1 [11]. The most interesting genes that were damaged by the BCTs are: EPHA6 (the first case with an optic phenotype in humans), UBR3 (the second case with developmental delay in humans), KLF13 (second case with developmental delay in humans). In the patient with a BCT disrupting MLLT10 and TLE3, it is unclear which gene is responsible for the phenotype, nevertheless both genes have few possibly pathogenic variants reported in humans (all linked to autism spectrum disorder) and none of them are similar to the proband phenotype. In silico analysis of the TADs did not identify any clear candidates that could be responsible for the phenotype of the patients through position effect (File S1).
In proband 1, a boy with DD and anophthalmia, the BCT disrupted EPHA6 gene. EPHA6 is an ephirin receptor belonging to a subfamily of tyrosine kinases receptors. EPHA6 LOEUF = 0.357 and DOMINO = 0.67 are consistent with autosomal dominant inheritance pattern of a disease caused by a loss-of-function variant. EPHA6 has been linked to various processes including retinal axon guidance, retinal ganglion cells (RGCs) organization during brain development [12,13] and neural development [14]. Knockout of EphA6− in mice causes learning and memory impairment [15]. In mice, EphA6 is expressed in the posterior segment of the eye, including the retina [16].
In humans, EPHA6 impact on the phenotype remains unclear, nevertheless, according to the Human Protein Atlas [17] EPHA6 is highly expressed in the brain, consistent with the retinal axon guidance function of the gene product [12]. The phenotype of our patient suggests that the retinal degeneration and anophthalmia may be related to the defect of EPHA6 through disruption of RGC organization and retinal axon guidance. Mild DD present in our patient is also compatible with the phenotype of EphA6-/- mice (learning and memory impairment). Interestingly, database STRING predicted interactions between EPHA6 and EFNA5 (MIM: 601535), a gene previously linked by our team to an ocular phenotype (bilateral cloudy cornea) [8,18].
In proband 2, a boy with hypotonia and dysmorphic features, the translocation disrupted two genes DLC1 and PARD3. It is possible that a fusion gene was created as both genes are transcribed from the reverse strand and the translocation affects the p arms of both chromosomes (i.e., the orientation of the fused genes allows for a chimeric gene to be transcribed). Furthermore, the putative fusion of the transcripts is predicted to be in-frame. DLC1 encodes a GTPase-activating protein for the small GTPases, that stops their signaling [19]. In humans, DLC1 defects, depending on the variant, have been associated with autosomal dominant congenital heart disease or nephrotic syndrome [20,21]. Curiously, the patient’s phenotype does not match any of these. Since the number of reported missense variants in DLC1 is relatively small (n = 26), it is possible that the disease spectrum of this gene is not yet fully known [20,21]. Furthermore, all but four previously reported cases were associated with missense variants, whereas the BCT in our proband is predicted to cause loss of function. Two out of four previously reported DLC1 nonsense variants were associated with neural tube defect [22]. Notably, DLC1 has a high DOMINO score = 0.7 which supports that monoallelic loss of function variants of this gene may be pathogenic. Another possibility explaining the lack of the DLC1 phenotype is that while the translocation disrupts the longest transcript (NM_182643), two shorter transcripts encoding potentially functional proteins remain unaffected. Nevertheless, we cannot discard the possibility that the translocation disrupts in cis regulatory sequences of the shorter isoforms.
PARD3 encodes a protein from the PARD family, which is involved in asymmetric cell division and polarized cell growth [23]. Pard3 has been linked to dendritic spine development in rat hippocampal neurons [24]. Regarding the impact on human phenotype, there are five publications describing six variants linking PARD3 to autism spectrum disorder (ASD) [25,26,27,28,29]. However, only one variant has been reported as “high confidence” by HGMD. Furthermore, two PARD3 variants were implicated in neural tube defects by a case control association study [30]. Thus, at present it is difficult to explain the phenotype of our patient by the available information on effects of DLC1 and PARD3 defects.
Proband 3, a boy with DD, had one gene damaged by the translocation: NFIA. NFIA defects are a well-established cause of brain malformation with or without urinary tract defect [31,32]. Phenotype of our patient is fully consistent with these data.
In Proband 4, a girl with severe intellectual disability and a cured brain dysembryoplastic neuroepithelial tumor, we identified an inversion that disrupted two genes: UBR3 and TRAF3IP1. The inversion did not create a fusion gene as both genes are transcribed from the forward strand (the orientation of the fused genes is incorrect for a chimeric gene to be created). TRAF3IP1 defects cause autosomal recessive Senior–Loken syndrome [33]. Since the inversion disrupts a single copy of TRAF3IP1, it is unlikely that phenotype is caused by the defect of this gene. On the other hand, UBR3 (LOEUF = 0.357, DOMINO = 0.7) is an interesting candidate as it encodes an ubiquitin ligase whose defects, based on six described variants, have been linked to ASD or congenital heart disease [26,28,34,35]. Additionally, one male patient with a heterozygous stop codon in UBR3 and developmental delay (phenotype not precisely described) has been reported [35]. UBR3 is a positive regulator of Hedgehog signaling pathway, which is also associated with DD [36], making it a plausible candidate gene in our patient. UBR3 is expressed in the sensory epithelium or neurons of all major sensory systems, including olfaction. STRING pointed to one gene FBXO11 (MIM: 312180), which probably interacts with UBR3, and is recognized as causing autosomal dominant intellectual developmental disorder with dysmorphic facies and behavioral abnormalities (MIM: 618089), making UBR3 an even more probable cause of the patient phenotype [16,37]. UBR3 polyubiquitylates multiple targets, including APE1, an essential human protein involved in DNA damage repair and regulation of transcription. Because UBR3 regulates cellular levels of APE1 required for genome stability [38], the disruption of UBR3 may have also contributed to the occurrence of neuroepithelial malignancy in our patient.
In Proband 5, a girl with Menkes disease, the BCT disrupted the ATP7A gene. ATP7A variants cause X-linked recessive (XLR) Menkes disease, occipital horn syndrome and spinal muscular atrophy [39,40,41,42]. Typically, XLR diseases are present only in male patients, while the our proband is female. However, there have been five reports of Menkes disease affecting female patients with translocations that damaged ATP7A [43]. The disease in these cases is probably caused by inactivation of the X chromosome skewed towards leaving the derived chromosome X functional (the opposite scenario leads to partial monosomy of the autosome involved in the BCTs which induces cell death [44]). We conclude that it is highly probable that the identified translocation is responsible for the phenotype of the patient.
In Proband 6, a girl with speech delay, two genes have been disrupted MLLT10 and TLE3. A fusion gene that may have been created as MLLT10 is transcribed from the forward strand, while TLE3 from the reverse strand and the translocation disrupts the p arm on chromosome 10 and the q arm on chromosome 15. However, the breakpoint leads to a frameshift mutation caused by the disruption of the last codon in the MLLT10 gene between exons 15 and 16. The disease in the patient may be due to the disruption of either of the genes as both have high DOMINO and low LOEUF (MLLT10 - DOMINO = 0.72, LOEUF = 0.182; TLE3 - DOMINO = 0.99, LOEUF = 0.073). TLE3 is a transcriptional co-repressor from transducin-like enhancer family of proteins. TLE3 knockout mice died in utero, due to improper cell differentiation of trophoblast giant cells. In humans, one de novo TLE3 variant has been reported as potentially causing autism [26]. The MLLT10 gene is responsible for maintaining epigenetic balance through histone methylation (H3K79me). In mice, Mllt10 functions in correct midfacial formation [45]. In humans, two variants of MLLT10 have been linked to ASD [28,46]. Such data make it difficult to point to the gene(s) responsible for the phenotype of the patient. However, based on the number of loss of function variants, it is possible that TLE3 has a bigger impact than MLLT10 (Table S1). Additionally, according to the STRING database, TLE3 inhibits activation of transcription factors in Wnt signaling pathway through CTNNB1 [16]. Interestingly, CTNNB1 (MIM: 116806) has been linked to autosomal dominant neurodevelopmental disorder with spastic diplegia and visual defects (MIM: 615075), making TLE3 an even more plausible candidate for impacting the patient phenotype [47].
Proband 7, a girl with global DD had a translocation that damages two genes: STK24 and KLF13. A fusion gene cannot be created, as both genes are located in the q arm of their respective chromosomes, and STK24 is transcribed from the reverse strand, while KLF13 is transcribed from the forward strand. Both genes are poorly understood in the context of human disease and their relative impact on our patient’s phenotype cannot be determined. STK24 is highly expressed in the brain [17] and has been linked to neuronal migration [48], Whereas STK24 DOMINO score (0.34) argues against its dominant effect, the relatively low LOEUF score (0.580) suggests that monoallelic loss of function of STK24 could be pathogenic. KLF13 has a high DOMINO score (0.96) and relatively low LOEUF (0.931), both consistent with a dominant effect. KLF13 is expressed in the brain [49] and is one of the genes deleted in the 15q13.3 deletion syndrome. Furthermore, according to STRING, KLF13 interacts with SIN3A (MIM: 607776) and EP300 (MIM: 602700), which are both associated with syndromic DD [50,51].

5. Conclusions

Our results emphasize that the identification of the exact structure of BCTs is useful for diagnosis, as well as for finding new disease loci. While, in some cases, it may be difficult to annotate a phenotype to one disrupted gene, it is still informative to restrict the pathological phenotype of the patient to two genes.

Supplementary Materials

The following are available online at https://www.mdpi.com/2077-0383/9/5/1245/s1, File S1 TADs structure and characteristics of genes present in the disrupted domain for each patient, including data from: ExAC ([52],pLI), inheritance from OMIM ([10], AD—Autosomal dominant inheritance, AR—Autosomal recessive inheritance) and mouse phenotype [16]. Table S1 Characteristics of genes disrupted by BCT in studied probands. If OMIM data was positive, further analysis of HGMD data was not conducted. Only genes linked to high confidence phenotypes are shown from HGMD. DOMINO P (AD)—A score derived from machine learning to predict genes associated with dominant disorders, the higher the score, the higher the probability that the gene causes a disease with autosomal dominant inheritance. LOEUF score—Lower values indicate low tolerance of loss of function variants in the gene [53]. AD—Autosomal dominant, AR—Autosomal recessive, LoF—Loss of function.

Author Contributions

V.M.P., M.K. wrote the manuscript. V.M.P., M.K., K.P. and M.M. performed the experiments. V.M.P., M.K., M.R., A.P. and R.P. designed the experiment. V.M.P., M.K., M.M., M.K.-W. and R.P. designed the pipeline. V.M.P., B.P., A.G. and P.S. performed bioinformatic analysis. M.M., M.K., K.W., M.L., A.C., D.W., A.S., K.M., A.M.-K. and K.C. contacted the patients. V.M.P., M.R., A.P. and J.K. performed next-generation sequencing. All authors have read and agreed to the published version of the manuscript.

Funding

The research was supported by the National Science Centre (NCN) grant no 2016/21/B/NZ5/02541. A.G. acknowledges a partial support of the National Science Centre grant 2018/30/M/NZ2/00054.

Acknowledgments

The authors are grateful to the patients and the parents for allowing this study to be published.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fernandez-Marmiesse, A.; Gouveia, S.; Couce, M.L. NGS Technologies as a Turning Point in Rare Disease Research, Diagnosis and Treatment. Curr. Med. Chem. 2018, 25, 404–432. [Google Scholar] [CrossRef]
  2. Robinson, J.T.; Thorvaldsdottir, H.; Wenger, A.M.; Zehir, A.; Mesirov, J.P. Variant Review with the Integrative Genomics Viewer. Cancer Res. 2017, 77, e31–e34. [Google Scholar] [CrossRef] [Green Version]
  3. Halgren, C.; Nielsen, N.M.; Nazaryan-Petersen, L.; Silahtaroglu, A.; Collins, R.L.; Lowther, C.; Kjaergaard, S.; Frisch, M.; Kirchhoff, M.; Brondum-Nielsen, K.; et al. Risks and Recommendations in Prenatally Detected De Novo Balanced Chromosomal Rearrangements from Assessment of Long-Term Outcomes. Am. J. Hum. Genet. 2018, 102, 1090–1103. [Google Scholar] [CrossRef] [Green Version]
  4. Harewood, L.; Chaignat, E.; Reymond, A. Structural variation and its effect on expression. Methods Mol. Biol. 2012, 838, 173–186. [Google Scholar] [CrossRef]
  5. Mitelman, F.; Johansson, B.; Mertens, F. The impact of translocations and gene fusions on cancer causation. Nat. Rev. Cancer 2007, 7, 233–245. [Google Scholar] [CrossRef] [PubMed]
  6. Nothwang, H.G.; Kim, H.G.; Aoki, J.; Geisterfer, M.; Kubart, S.; Wegner, R.D.; van Moers, A.; Ashworth, L.K.; Haaf, T.; Bell, J.; et al. Functional hemizygosity of PAFAH1B3 due to a PAFAH1B3-CLK2 fusion gene in a female with mental retardation, ataxia and atrophy of the brain. Hum. Mol. Genet. 2001, 10, 797–806. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Harewood, L.; Schutz, F.; Boyle, S.; Perry, P.; Delorenzi, M.; Bickmore, W.A.; Reymond, A. The effect of translocation-induced nuclear reorganization on gene expression. Genome Res. 2010, 20, 554–564. [Google Scholar] [CrossRef] [Green Version]
  8. Murcia Pienkowski, V.; Kucharczyk, M.; Mlynek, M.; Szczaluba, K.; Rydzanicz, M.; Poszewiecka, B.; Skorka, A.; Sykulski, M.; Biernacka, A.; Koppolu, A.A.; et al. Mapping of breakpoints in balanced chromosomal translocations by shallow whole-genome sequencing points to EFNA5, BAHD1 and PPP2R5E as novel candidates for genes causing human Mendelian disorders. J. Med. Genet. 2019, 56, 104–112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. TADeus a Web Service Dedicated for Clinical Evaluation of Variants in Genes Whose Expression May Be Affected by Chromosomal Rearrangements. Available online: http://bioputer.mimuw.edu.pl/tadeus (accessed on 5 February 2020).
  10. Mendelian Inheritance in Man. Available online: https://www.omim.org (accessed on 5 January 2020).
  11. Konrad, J.; Karczewski, L.C.F.; Tiao, G.; Cummings, B.B.; Alföldi, J.; Wang, Q.; Collins, R.L.; Kristen, M.L.; Ganna, A.; Daniel, P.B.; et al. Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes. bioRxiv 2020. [Google Scholar] [CrossRef] [Green Version]
  12. Beach, K.Q.H.; Kiyama, T.; Wang, S.; Otteson, D. Expression of the Axonal Guidance Receptors EPHA5 and EPHA6 Changes Across Retinal Development. IOVS 2013, 54, 5147. [Google Scholar]
  13. Marcelli, F.; Boisset, G.; Schorderet, D.F. A dimerized HMX1 inhibits EPHA6/epha4b in mouse and zebrafish retinas. PLoS ONE 2014, 9, e100096. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Das, G.; Yu, Q.; Hui, R.; Reuhl, K.; Gale, N.W.; Zhou, R. EphA5 and EphA6: Regulation of neuronal and spine morphology. Cell Biosci. 2016, 6, 48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Savelieva, K.V.; Rajan, I.; Baker, K.B.; Vogel, P.; Jarman, W.; Allen, M.; Lanthorn, T.H. Learning and memory impairment in Eph receptor A6 knockout mice. Neurosci. Lett. 2008, 438, 205–209. [Google Scholar] [CrossRef] [PubMed]
  16. Bult, C.J.; Blake, J.A.; Smith, C.L.; Kadin, J.A.; Richardson, J.E.; the Mouse Genome Database Group. Mouse Genome Database (MGD) 2019. Nucleic Acids Res. 2019, 47, D801–D806. [Google Scholar] [CrossRef] [Green Version]
  17. Tissue-Based Map of the Human Proteome. Available online: https://www.proteinatlas.org (accessed on 10 January 2020).
  18. Szklarczyk, D.; Gable, A.L.; Lyon, D.; Junge, A.; Wyder, S.; Huerta-Cepas, J.; Simonovic, M.; Doncheva, N.T.; Morris, J.H.; Bork, P.; et al. STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic. Acids Res. 2019, 47, D607–D613. [Google Scholar] [CrossRef] [Green Version]
  19. Kim, T.Y.; Healy, K.D.; Der, C.J.; Sciaky, N.; Bang, Y.J.; Juliano, R.L. Effects of structure of Rho GTPase-activating protein DLC-1 on cell morphology and migration. J. Biol. Chem. 2008, 283, 32762–32770. [Google Scholar] [CrossRef] [Green Version]
  20. Ashraf, S.; Kudo, H.; Rao, J.; Kikuchi, A.; Widmeier, E.; Lawson, J.A.; Tan, W.; Hermle, T.; Warejko, J.K.; Shril, S.; et al. Mutations in six nephrosis genes delineate a pathogenic pathway amenable to treatment. Nat. Commun. 2018, 9, 1960. [Google Scholar] [CrossRef] [Green Version]
  21. Lin, B.; Wang, Y.; Wang, Z.; Tan, H.; Kong, X.; Shu, Y.; Zhang, Y.; Huang, Y.; Zhu, Y.; Xu, H.; et al. Uncovering the rare variants of DLC1 isoform 1 and their functional effects in a Chinese sporadic congenital heart disease cohort. PLoS ONE 2014, 9, e90215. [Google Scholar] [CrossRef]
  22. Lemay, P.; De Marco, P.; Traverso, M.; Merello, E.; Dionne-Laporte, A.; Spiegelman, D.; Henrion, E.; Diallo, O.; Audibert, F.; Michaud, J.L.; et al. Whole exome sequencing identifies novel predisposing genes in neural tube defects. Mol. Genet. Genomic Med. 2019, 7, e00467. [Google Scholar] [CrossRef]
  23. Shi, S.H.; Jan, L.Y.; Jan, Y.N. Hippocampal neuronal polarity specified by spatially localized mPar3/mPar6 and PI 3-kinase activity. Cell 2003, 112, 63–75. [Google Scholar] [CrossRef] [Green Version]
  24. Zhang, H.; Macara, I.G. The polarity protein PAR-3 and TIAM1 cooperate in dendritic spine morphogenesis. Nat. Cell Biol. 2006, 8, 227–237. [Google Scholar] [CrossRef] [PubMed]
  25. Wang, T.; Guo, H.; Xiong, B.; Stessman, H.A.; Wu, H.; Coe, B.P.; Turner, T.N.; Liu, Y.; Zhao, W.; Hoekzema, K.; et al. De novo genic mutations among a Chinese autism spectrum disorder cohort. Nat. Commun. 2016, 7, 13316. [Google Scholar] [CrossRef] [PubMed]
  26. Iossifov, I.; O’Roak, B.J.; Sanders, S.J.; Ronemus, M.; Krumm, N.; Levy, D.; Stessman, H.A.; Witherspoon, K.T.; Vives, L.; Patterson, K.E.; et al. The contribution of de novo coding mutations to autism spectrum disorder. Nature 2014, 515, 216–221. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Griswold, A.J.; Dueker, N.D.; Van Booven, D.; Rantus, J.A.; Jaworski, J.M.; Slifer, S.H.; Schmidt, M.A.; Hulme, W.; Konidari, I.; Whitehead, P.L.; et al. Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants. Mol. Autism. 2015, 6, 43. [Google Scholar] [CrossRef] [Green Version]
  28. Kosmicki, J.A.; Samocha, K.E.; Howrigan, D.P.; Sanders, S.J.; Slowikowski, K.; Lek, M.; Karczewski, K.J.; Cutler, D.J.; Devlin, B.; Roeder, K.; et al. Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples. Nat. Genet. 2017, 49, 504–510. [Google Scholar] [CrossRef] [Green Version]
  29. Chen, C.H.; Chen, H.I.; Chien, W.H.; Li, L.H.; Wu, Y.Y.; Chiu, Y.N.; Tsai, W.C.; Gau, S.S. High resolution analysis of rare copy number variants in patients with autism spectrum disorder from Taiwan. Sci. Rep. 2017, 7, 11919. [Google Scholar] [CrossRef] [Green Version]
  30. Chen, X.; An, Y.; Gao, Y.; Guo, L.; Rui, L.; Xie, H.; Sun, M.; Lam Hung, S.; Sheng, X.; Zou, J.; et al. Rare Deleterious PARD3 Variants in the aPKC-Binding Region are Implicated in the Pathogenesis of Human Cranial Neural Tube Defects Via Disrupting Apical Tight Junction Formation. Hum. Mutat. 2017, 38, 378–389. [Google Scholar] [CrossRef] [Green Version]
  31. Rao, A.; O’Donnell, S.; Bain, N.; Meldrum, C.; Shorter, D.; Goel, H. An intragenic deletion of the NFIA gene in a patient with a hypoplastic corpus callosum, craniofacial abnormalities and urinary tract defects. Eur. J. Med. Genet. 2014, 57, 65–70. [Google Scholar] [CrossRef]
  32. Nyboe, D.; Kreiborg, S.; Kirchhoff, M.; Hove, H.B. Familial craniosynostosis associated with a microdeletion involving the NFIA gene. Clin. Dysmorphol. 2015, 24, 109–112. [Google Scholar] [CrossRef]
  33. Bizet, A.A.; Becker-Heck, A.; Ryan, R.; Weber, K.; Filhol, E.; Krug, P.; Halbritter, J.; Delous, M.; Lasbennes, M.C.; Linghu, B.; et al. Mutations in TRAF3IP1/IFT54 reveal a new role for IFT proteins in microtubule stabilization. Nat. Commun. 2015, 6, 8666. [Google Scholar] [CrossRef] [Green Version]
  34. O’Roak, B.J.; Vives, L.; Girirajan, S.; Karakoc, E.; Krumm, N.; Coe, B.P.; Levy, R.; Ko, A.; Lee, C.; Smith, J.D.; et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 2012, 485, 246–250. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Study, D.D.; McRae, J.F.; Clayton, S.; Fitzgerald, T.W.; Kaplanis, J.; Prigmore, E.; Rajan, D.; Sifrim, A.; Aitken, S.; Akawi, N.; et al. Prevalence and architecture of de novo mutations in developmental disorders. Nature 2017, 542, 433–438. [Google Scholar] [CrossRef] [PubMed]
  36. Li, T.; Fan, J.; Blanco-Sanchez, B.; Giagtzoglou, N.; Lin, G.; Yamamoto, S.; Jaiswal, M.; Chen, K.; Zhang, J.; Wei, W.; et al. Ubr3, a Novel Modulator of Hh Signaling Affects the Degradation of Costal-2 and Kif7 through Poly-ubiquitination. PLoS Genet. 2016, 12, e1006054. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Fritzen, D.; Kuechler, A.; Grimmel, M.; Becker, J.; Peters, S.; Sturm, M.; Hundertmark, H.; Schmidt, A.; Kreiss, M.; Strom, T.M.; et al. De novo FBXO11 mutations are associated with intellectual disability and behavioural anomalies. Hum. Genet. 2018, 137, 401–411. [Google Scholar] [CrossRef] [PubMed]
  38. Meisenberg, C.; Tait, P.S.; Dianova, I.I.; Wright, K.; Edelmann, M.J.; Ternette, N.; Tasaki, T.; Kessler, B.M.; Parsons, J.L.; Kwon, Y.T.; et al. Ubiquitin ligase UBR3 regulates cellular levels of the essential DNA repair protein APE1 and is required for genome stability. Nucleic. Acids Res. 2012, 40, 701–711. [Google Scholar] [CrossRef]
  39. Gerard-Blanluet, M.; Birk-Moller, L.; Caubel, I.; Gelot, A.; Billette de Villemeur, T.; Horn, N. Early development of occipital horns in a classical Menkes patient. Am. J. Med. Genet. A 2004, 130A, 211–213. [Google Scholar] [CrossRef]
  40. Kaler, S.G.; Tang, J.; Donsante, A.; Kaneski, C.R. Translational read-through of a nonsense mutation in ATP7A impacts treatment outcome in Menkes disease. Ann. Neurol. 2009, 65, 108–113. [Google Scholar] [CrossRef] [Green Version]
  41. Tang, J.; Robertson, S.; Lem, K.E.; Godwin, S.C.; Kaler, S.G. Functional copper transport explains neurologic sparing in occipital horn syndrome. Genet. Med. 2006, 8, 711–718. [Google Scholar] [CrossRef] [Green Version]
  42. Kennerson, M.L.; Nicholson, G.A.; Kaler, S.G.; Kowalski, B.; Mercer, J.F.; Tang, J.; Llanos, R.M.; Chu, S.; Takata, R.I.; Speck-Martins, C.E.; et al. Missense mutations in the copper transporter gene ATP7A cause X-linked distal hereditary motor neuropathy. Am. J. Hum. Genet. 2010, 86, 343–352. [Google Scholar] [CrossRef] [Green Version]
  43. Smpokou, P.; Samanta, M.; Berry, G.T.; Hecht, L.; Engle, E.C.; Lichter-Konecki, U. Menkes disease in affected females: The clinical disease spectrum. Am. J. Med. Genet. A 2015, 167A, 417–420. [Google Scholar] [CrossRef] [Green Version]
  44. Sirleto, P.; Surace, C.; Santos, H.; Bertini, E.; Tomaiuolo, A.C.; Lombardo, A.; Boenzi, S.; Bevivino, E.; Dionisi-Vici, C.; Angioni, A. Lyonization effects of the t(X;16) translocation on the phenotypic expression in a rare female with Menkes disease. Pediatr. Res. 2009, 65, 347–351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Ogoh, H.; Yamagata, K.; Nakao, T.; Sandell, L.L.; Yamamoto, A.; Yamashita, A.; Tanga, N.; Suzuki, M.; Abe, T.; Kitabayashi, I.; et al. Mllt10 knockout mouse model reveals critical role of Af10-dependent H3K79 methylation in midfacial development. Sci. Rep. 2017, 7, 11922. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. An, J.Y.; Cristino, A.S.; Zhao, Q.; Edson, J.; Williams, S.M.; Ravine, D.; Wray, J.; Marshall, V.M.; Hunt, A.; Whitehouse, A.J.; et al. Towards a molecular characterization of autism spectrum disorders: An exome sequencing and systems approach. Transl. Psychiatry 2014, 4, e394. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. de Ligt, J.; Willemsen, M.H.; van Bon, B.W.; Kleefstra, T.; Yntema, H.G.; Kroes, T.; Vulto-van Silfhout, A.T.; Koolen, D.A.; de Vries, P.; Gilissen, C.; et al. Diagnostic exome sequencing in persons with severe intellectual disability. N. Engl. J. Med. 2012, 367, 1921–1929. [Google Scholar] [CrossRef] [Green Version]
  48. Tang, J.; Ip, J.P.; Ye, T.; Ng, Y.P.; Yung, W.H.; Wu, Z.; Fang, W.; Fu, A.K.; Ip, N.Y. Cdk5-dependent Mst3 phosphorylation and activity regulate neuronal migration through RhoA inhibition. J. Neurosci. 2014, 34, 7425–7436. [Google Scholar] [CrossRef] [Green Version]
  49. Halawa, A.A.; Rees, K.A.; McCamy, K.M.; Winzer-Serhan, U.H. Central and peripheral immune responses to low-dose lipopolysaccharide in a mouse model of the 15q13.3 microdeletion. Cytokine 2019, 126, 154879. [Google Scholar] [CrossRef]
  50. Roelfsema, J.H.; White, S.J.; Ariyurek, Y.; Bartholdi, D.; Niedrist, D.; Papadia, F.; Bacino, C.A.; den Dunnen, J.T.; van Ommen, G.J.; Breuning, M.H.; et al. Genetic heterogeneity in Rubinstein-Taybi syndrome: Mutations in both the CBP and EP300 genes cause disease. Am. J. Hum. Genet. 2005, 76, 572–580. [Google Scholar] [CrossRef] [Green Version]
  51. Witteveen, J.S.; Willemsen, M.H.; Dombroski, T.C.; van Bakel, N.H.; Nillesen, W.M.; van Hulten, J.A.; Jansen, E.J.; Verkaik, D.; Veenstra-Knol, H.E.; van Ravenswaaij-Arts, C.M.; et al. Haploinsufficiency of MeCP2-interacting transcriptional co-repressor SIN3A causes mild intellectual disability by affecting the development of cortical integrity. Nat. Genet. 2016, 48, 877–887. [Google Scholar] [CrossRef] [Green Version]
  52. Karczewski, K.J.; Weisburd, B.; Thomas, B.; Solomonson, M.; Ruderfer, D.M.; Kavanagh, D.; Hamamsy, T.; Lek, M.; Samocha, K.E.; Cummings, B.B.; et al. The ExAC browser: displaying reference data information from over 60 000 exomes. Nucleic Acids Res. 2017, 45, D840–D845. [Google Scholar] [CrossRef] [Green Version]
  53. The Mutational Constraint Spectrum Quantified from Variation in 141,456 Humans. Available online: https://www.biorxiv.org/content/10.1101/531210v4.full (accessed on 10 January 2020).
Jcm 09 01245 g001a 550Jcm 09 01245 g001b 550
Figure 1. Results from Sanger sequencing and/or deep amplicon sequencing with NexteraXT library of the balanced chromosomal aberrations (BCAs) breakpoints. The figure for every patient includes: in the upper part, a schematically shown normal chromosome and below a chromosome containing the BCAs. Arrows indicate the orientation of the genes affected by translocation. The length of the arrows approximately corresponds to the length of the disrupted coding sequences. The lower part shows the sequencing results. For every BCA, both breakpoints are shown. In deep amplicon sequencing results, only split reads are shown (reads that present the exact structure of the breakpoint). One part of these reads fully maps to the reference genome, while the other part differs from the reference. In Proband 2 an inframe fusion gene might be created.
Figure 1. Results from Sanger sequencing and/or deep amplicon sequencing with NexteraXT library of the balanced chromosomal aberrations (BCAs) breakpoints. The figure for every patient includes: in the upper part, a schematically shown normal chromosome and below a chromosome containing the BCAs. Arrows indicate the orientation of the genes affected by translocation. The length of the arrows approximately corresponds to the length of the disrupted coding sequences. The lower part shows the sequencing results. For every BCA, both breakpoints are shown. In deep amplicon sequencing results, only split reads are shown (reads that present the exact structure of the breakpoint). One part of these reads fully maps to the reference genome, while the other part differs from the reference. In Proband 2 an inframe fusion gene might be created.
Jcm 09 01245 g001aJcm 09 01245 g001b
Table
Table 1. Summary of the results of all the patients.
Table 1. Summary of the results of all the patients.
ProbandKaryotyping ResultsBreak-Point PositionsPhenotypeDisrupted Gene(s)
146,XY,t(3;5)(q11.2;p13.1)chr3:96,955,385/chr5:30,867,535
chr3:96,955,395/chr5:30,867,540		Developmental delay, anophthalmiaEPHA6 (MIM: 600066)
246,XY, t(8;10)(p22;p11.21)chr10:34,546,389/chr8:12,996,881
chr8:12,996,881/chr10:34,546,391		Hypotonia, dysmorphic featuresPARD3 (MIM: 606745)
DLC1 (MIM: 604258)
346,XY,t(1;2)(p31.3;q33.1)chr1:61,754,634/chr2:200,725,835
chr1:61,754,636/chr2:200,725,835		Developmental delayNFIA (MIM: 600727)
446,XX,inv(2)(q31.1;q37.3)chr2:170,714,752/chr2:239,263,182Severe mental retardation, cured brain dysembryoplastic neuroepithelial tumorUBR3 (MIM: 613831)
TRAF3IP1 (MIM: 607380)
546,X,t(X;1)(q21.1;p21.1)chrX:77,213,561/chr1:106,152,109
chrX:77,213,557/chr1:106,152,110		Menkes diseaseATP7A (MIM: 300011)
646,XX,t(10;15)(p12.31;q23)chr10:21,972,544/chr15:70,361,328
chr10:21,972,539/chr15:70,361,330		Speech delayMLLT10 (MIM: 602409)
TLE3 (MIM: 600190)
746,XX,t(13;15)(q32.2;q13.3)chr13:99,169,136/chr15:31,620,350
chr15:31,620,348/chr13:99,169,137		Developmental delaySTK24 (MIM: 604984)
KLF13 (MIM: 605328)

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Murcia Pienkowski, V.; Kucharczyk, M.; Rydzanicz, M.; Poszewiecka, B.; Pachota, K.; Młynek, M.; Stawiński, P.; Pollak, A.; Kosińska, J.; Wojciechowska, K.; et al. Breakpoint Mapping of Symptomatic Balanced Translocations Links the EPHA6, KLF13 and UBR3 Genes to Novel Disease Phenotype. J. Clin. Med. 2020, 9, 1245. https://doi.org/10.3390/jcm9051245

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Murcia Pienkowski V, Kucharczyk M, Rydzanicz M, Poszewiecka B, Pachota K, Młynek M, Stawiński P, Pollak A, Kosińska J, Wojciechowska K, et al. Breakpoint Mapping of Symptomatic Balanced Translocations Links the EPHA6, KLF13 and UBR3 Genes to Novel Disease Phenotype. Journal of Clinical Medicine. 2020; 9(5):1245. https://doi.org/10.3390/jcm9051245

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Murcia Pienkowski, Victor, Marzena Kucharczyk, Małgorzata Rydzanicz, Barbara Poszewiecka, Katarzyna Pachota, Marlena Młynek, Piotr Stawiński, Agnieszka Pollak, Joanna Kosińska, Katarzyna Wojciechowska, and et al. 2020. "Breakpoint Mapping of Symptomatic Balanced Translocations Links the EPHA6, KLF13 and UBR3 Genes to Novel Disease Phenotype" Journal of Clinical Medicine 9, no. 5: 1245. https://doi.org/10.3390/jcm9051245

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