Johanna Winberg1, Peter Gustavsson2, Nikos Papadogiannakis3, Ellika Sahlin2, Frideborg Bradley1, Edvard Nordenskjöld1, Pär-Johan Svensson4, Göran Annerén5, Erik Iwarsson2, Ann Nordgren2, Agneta Nordenskjöld4. 1. Department of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden. 2. Department of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden ; Clinical Genetics Unit, Karolinska University Hospital, Stockholm, Sweden. 3. Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden. 4. Department of Women's and Children's Health and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden ; Pediatric Surgery, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden. 5. Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Abstract
In order to identify genetic causes of VACTERL association (V vertebral defects, A anorectal malformations, C cardiac defects, T tracheoesofageal fistula, E esophageal atresia, R renal anomalies, L limb deformities), we have collected DNA samples from 20 patients diagnosed with VACTERL or with a VACTERL-like phenotype as well as samples from 19 aborted fetal cases with VACTERL. To investigate the importance of gene dose alterations in the genetic etiology of VACTERL association we have performed a systematic analysis of this cohort using a 180K array comparative genomic hybridization (array-CGH) platform. In addition, to further clarify the significance of PCSK5, HOXD13 and CHD7 genes in the VACTERL phenotype, mutation screening has been performed. We identified pathogenic gene dose imbalances in two fetal cases; a hemizygous deletion of the FANCB gene and a (9;18)(p24;q12) unbalanced translocation. In addition, one pathogenic mutation in CHD7 was detected, while no apparent disease-causing mutations were found in HOXD13 or PCSK5. Our study shows that although large gene dose alterations do not seem to be a common cause in VACTERL association, array-CGH is still important in clinical diagnostics to identify disease cause in individual cases.
In order to identify genetic causes of VACTERL association (V vertebral defects, A anorectal malformations, C cardiac defects, T tracheoesofageal fistula, E esophageal atresia, R renal anomalies, L limb deformities), we have collected DNA samples from 20 patients diagnosed with VACTERL or with a VACTERL-like phenotype as well as samples from 19 aborted fetal cases with VACTERL. To investigate the importance of gene dose alterations in the genetic etiology of VACTERL association we have performed a systematic analysis of this cohort using a 180K array comparative genomic hybridization (array-CGH) platform. In addition, to further clarify the significance of PCSK5, HOXD13 and CHD7 genes in the VACTERL phenotype, mutation screening has been performed. We identified pathogenic gene dose imbalances in two fetal cases; a hemizygous deletion of the FANCB gene and a (9;18)(p24;q12) unbalanced translocation. In addition, one pathogenic mutation in CHD7 was detected, while no apparent disease-causing mutations were found in HOXD13 or PCSK5. Our study shows that although large gene dose alterations do not seem to be a common cause in VACTERL association, array-CGH is still important in clinical diagnostics to identify disease cause in individual cases.
VACTERL association (OMIM #192350) is described as the non-random association of multiple congenital anomalies affecting the specific organ systems intended in its letters; V vertebral anomalies, A anal atresia, C cardiac defects, T tracheoesophageal fistula, E esophageal atresia, R renal anomalies and L limb defects. The diagnosis is based on clinical observation, with a minimum of three anomalies in the spectrum required for diagnosis and a reported prevalence of VACTERL association in infants in different studies between 1/10, 000 and 1/40, 000 [1].At present, no common etiology of VACTERL association is known and a heterogeneous background to the phenotype is likely [1]. The included malformations develop at different time points during embryogenesis and the pathogenesis is thought to interfere with several different embryological processes [2]. In the majority of cases, VACTERL association occurs sporadically which has lead to suggestions of environmental causative factors [1], but the condition is also familial in rare cases [3], [4], [5] indicating the possibility of a genetic etiology [6]. Genetic aberrations reported in patients with VACTERL or a VACTERL-like phenotype include chromosome aberrations, microdeletions/-duplications and single gene mutations in individual cases [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17]. Genetic counseling for families with VACTERL association based on current knowledge is unsatisfactory and studies exploring genetic and environmental factors are important to improve the situation as advances in pediatric surgery and intensive care have increased survival rates of children with multiple congenital anomalies.The aim of the study was to determine the role of gene dose alterations in the etiology of VACTERL association through screening analysis using array-CGH in patients and fetal cases. We also wanted to clarify the role of PCSK5, HOXD13 and CHD7 variants in the VACTERL phenotype since PCSK5 and HOXD13 genetic variants have been reported in VACTERL patients [18], [19]. Screening of CHD7 was performed to investigate the presence of CHARGE patients within our VACTERL cohort, based on the known clinical overlap between the two conditions. In line with results of earlier studies, our study shows no common genetic cause in patients with VACTERL association and that disease-causing gene dose alterations are not commonly found in these patients. Further, the known clinical similarity between CHARGE and VACTERL association is strengthened by the finding of a pathogenic CHD7 mutation in a patient with a VACTERL-like phenotype.
Materials and Methods
Ethics statement
Patient participation was approved after obtaining written consent from the parents. Samples from fetal cases were obtained from a biobank to which the parents had agreed on storage of fetal tissue samples for research and clinical purposes. Ethical approval for the study was obtained from the regional ethics committee at Karolinska Institutet, Stockholm.
Patients and fetal cases
Altogether, 39 patients and fetal cases with either VACTERL or a VACTERL-like phenotype were included in the study (Table 1 and Table S1). Twelve patients were recruited from the department of Pediatric Surgery at Astrid Lindgren Children's Hospital, Stockholm, and from the Swedish VACTERL Society. Clinical information was obtained from medical records and through self-reporting from parents. Further, we included 19 fetal cases retrieved from the archives of the Section for Perinatal Pathology at Karolinska University Hospital in Huddinge, Stockholm. Autopsy reports were reviewed together with an experienced perinatal pathologist (N.P.). In all but one case, the pregnancies had been terminated after routine fetal ultrasound had revealed multiple congenital anomalies. Finally, eight patients with esophageal atresia and a minimum of one additional malformation in the VACTERL spectrum were included.
Table 1
Summary of clinical phenotypes in patients and fetal cases with VACTERL association or a VACTERL-like phenotype.
Patients
V1
V2
V3
V4
V5
V6
V7
V8
V9
V10
V11
V12
V13
V14
V15
V16
V17
V18
V19
V20
Sex
F
M
M
M
M
F
M
M
M
M
F
M
F
F
M
M
M
F
F
F
V
+
+
+
+
+
+
+
+
+
A
+†
+
+
+
+
+
+
+
+
+
+
+
C
+
+
+
+*
+
+
+
+
+
+
TE
+
+
+
+
+
+
+
+
+
+
+
+
+
+
R
+
+
+
+
+
+
+
+
+
+
+
L
+
+
+
+
+
+
Additional defects
+
+
+
+
+
+
+
+
+
+
+
V vertebral defect, A anal atresia, C cardiac defect, TE esophageal atresia with/without tracheoesophageal fistula, R renal defect, L limb defect, †cloacal/cloacal-like malformation *atrial septal defect detected abroad at younger age while not detected at later investigation.
V vertebral defect, A anal atresia, C cardiac defect, TE esophageal atresia with/without tracheoesophageal fistula, R renal defect, L limb defect, †cloacal/cloacal-like malformation *atrial septal defect detected abroad at younger age while not detected at later investigation.
DNA isolation
Genomic DNA was isolated from either peripheral blood or tissue samples according to standard procedures. For fetal cases, DNA was isolated from routinely preserved fresh frozen heart, liver, lung, or spleen tissue using the Gentra Puregene Blood Kit (QIAGEN Sciences, Maryland, USA) in combination with Proteinase K (Finnzymes, Espoo, Finland) with slight modifications to the manufacturer's protocol.
Array-CGH
180K oligonucleotide array
Screening for gene dose alterations was carried out using a 180K custom oligonucleotide microarray with whole genome coverage (Oxford Gene Technology) used in a clinical setting at the Department of Clinical Genetics, Karolinska University Hospital. Genomic DNA isolated from blood or tissue and sex-matched pooled reference DNA isolated from healthy controls (Promega, Madison, WI, USA) was used for analysis. Sample labelling (CGH labelling kit for oligo arrays, Enzo Life Sciences, Farmingdale, NY, USA), hybridization and slide washing (Oligo aCGH/ChIP-on-Chip Wash Buffer Kit, Agilent Technologies, Wilmington, DE, USA) was performed essentially according to the manufacturer's recommendations. Slide scanning was performed using a 3 µm-resolution microarray scanner and the Feature Extraction software v 10.7.3.1 (Agilent Technologies) was used for initial data analysis followed by analysis with the CytoSure Interpret Software v 3.3.2 (Oxford Gene Technology). For detection of copy number variants (CNVs), the standard probe cut off levels used in routine diagnostics at the Department of Clinical Genetics, Karolinska University Hospital (log2-ratios above 0.35 for duplications and below -0.65 for deletions) were applied. For an overall screening analysis, CNVs with a minimum of three consecutive probes with deviating log2-ratios were identified. After visual inspection, CNVs were compared to variants reported in the Database of Genomic Variants (DGV, http://projects.tcag.ca/variation/), DatabasE of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources (DECIPHER, https://decipher.sanger.ac.uk/) and the clinical database at the Department of Clinical Genetics, Karolinska University Hospital, comprising approximately 2000 analyzed patient samples. Detected CNVs overlapping CNVs reported in DGV or frequently observed in the clinical database were considered to be likely benign. Specifically, a visual inspection of probes located in PCSK5, HOXD13, the FANC genes (A, B, C, D2, E, F, G, I, L, M, N, O, P) and CHD7 was carried out. The data discussed in this section have been deposited in NCBI's Gene Expression Omnibus [20] and are accessible through GEO Series accession number GSE51958 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51958).
Bacterial artificial chromosome (BAC) array
Early analysis using a 38K BAC array with whole genome coverage (Swegene DNA Microarray Resource Center, Department of Oncology, Lund University, Sweden) was performed as previously described in individual cases as specified in Table S2
[21].
Confirmation of the FANCB deletion detected with array-CGH was performed at Centogene GmbH, Rostock, Germany using the MLPA-P113-A2 kit from MRC Holland according to the manufacturer's recommendations.
Polymerase chain reaction (PCR) and DNA sequencing
DNA isolated from blood or tissue was used for exon and exon/intron boundary amplification of the genes PCSK5 (exons 1–39), HOXD13 (exons 1–2) and CHD7 (exons 2–38) with PCR using standard procedures. Mutation screening in PCSK5 was performed in all patients while screening of HOXD13 and CHD7 was performed in a subset of patients (Table S2). All primer sequences and reaction conditions are available upon request. Sequencing reactions of amplified regions were carried out after a purification step using ExoSAP enzyme (ExoSAP-IT, GE Healthcare, GmbH, Germany) for 15 min at 37° followed by 15 min at 85°. The Big Dye Terminator cycle sequencing kit 3.1 (Applied Biosystems, Warrington, UK) was used for the sequencing reactions following the manufacturer's protocol and fragments were analysed on ABI 3130 and ABI 3730 genetic analysers (Applied Biosystems). SeqScape software V2.5 (Applied Biosystems) was used for sequence analysis. We used the Alamut v2.0 software (Interactive Biosoftware, http://www.interactivebiosoftware.com) to predict variant pathogenicity. Alignment of protein sequences for PCSK5 was performed using the UniProtKB database (http://www.uniprot.org/) and included sequences from 6 vertebrates.
cDNA synthesis and sequencing
CHD7
As DNA from the parents was unavailable in patient V7, total RNA was isolated from peripheral blood of the patient (RNeasy, QIAGEN Sciences, USA) to investigate a potential effect of a detected variant on CHD7 splicing. cDNA synthesis was performed with the SuperScript® III First Strand Synthesis System kit (Invitrogen, Carlsbad, CA, USA) using oligo(dT)20-primers according to the manufacturer's protocol. Subsequent PCR using cDNA from patient V7 as well as a healthy control in parallel reactions using a forward primer located in exon 12 and a reverse primer located in exon 14 (Ensembl accession number ENSG00000171316) was carried out. Fragment sizes were compared using agarose gel electrophoresis. DNA sequencing of the amplified fragment was performed as described above.
Protein-protein interaction database search
To test for protein-protein interactions between proteins encoded by genes in detected pathogenic CNVs or CNVs of unclear significance and VACTERL candidate genes, searches were performed in the PINA: Protein Interaction Network Analysis Platform database (http://cbg.garvan.unsw.edu.au/pina/) [22] (Table S3).
Results
Clinical data are shown in Table 1 and Table S1.Screening for gene dose imbalances revealed pathogenic aberrations in two fetal cases (Table 2). In case FC14 (Fig. 1a, b), a terminal 7.34 Mb deletion of 9p, del(9)(p24.3p24.1), was identified together with a terminal 34.3 Mb 18q-duplication, dup(18)(q12.3q23). The fetus showed a complex heart malformation, esophageal atresia, unilateral mild hydronephrosis and hydroureter in combination with dilatation of the 4th cerebral ventricle. In this case, a fetal karyotype had been performed in early pregnancy that had revealed an unbalanced 9;18 translocation (Fig. 1c) inherited from the father who was a carrier of the balanced translocation, 46,XY,t(9;18)(p24.1;q12.3). In the male fetus FC10, with anal atresia, a complex Fallot-like heart malformation, horseshoe kidney, bilateral rudimentary thumbs and a malformed right ear with atresia of the external auditory canal, a hemizygous 0.1–0.4 Mb deletion of the FANCB gene was identified (Fig. 2a–d). MLPA for FANCB performed at the Centogene laboratory (http://www.centogene.com/) confirmed deletion of the complete FANCB gene in the fetus, a finding associated with the diagnosis of X-linked VACTERL (Fig. 2c). Carrier testing revealed that the mother was a healthy carrier. In addition, a 2.8 Mb-duplication on chromosome 16, dup(16)(p13.11p12.3), was detected in fetus FC10. The inheritance status of the duplication is not known since the mother is not a carrier, and paternal DNA is not available.
Table 2
Pathogenic gene dose imbalances identified using array-CGH.
Patient/fetal case
Detected variant
Affected genes
Inheritance
Clinical significance
FC10
del(X)(p22.2p22.2) 0.01–0.04 Mb
FANCB
maternal
pathogenic
chrX:14785775-14797007
(X-linked recessive)
FC14
del(9)(p24.3p24.1) 7.3 Mb
∼40 Ref Seq genes deleted
paternal
pathogenic
chr9:194178-7534426
(father carrier of balanced 9;18 translocation)
dup(18)(q12.3q23) 34.3 Mb
∼160 Ref Seq genes duplicated
paternal
chr18:41777994-76116089
(father carrier of balanced 9;18 translocation)
Genomic coordinates according to genomic build Mar. 2006 (NCBI36/hg18).
Figure 1
Results from array-CGH and karyotype analysis in fetal case FC14.
For each probe, the log2-fluorescence signal ratio is displayed on the Y-axis and the chromosomal location on the X-axis. A 7.3 Mb-deletion on the p-arm of chromosome 9, del(9)(p24.3p24.1) (a) and a 34.3 Mb-duplication on the q-arm of chromosome 18, dup(18)(q12.3q23) (b) are shown. Both aberrations result from an unbalanced translocation involving chromosomes 9 and 18 (c).
Figure 2
Results from array-CGH and MLPA analysis on genomic DNA from fetal case FC10.
Upper images show a hemizygous deletion (mean log2-ratio -2.5) on Xp22.2 comprising two probes located within the FANCB gene consistent with a diagnosis of X-linked VACTERL (a, b). Results from MLPA analysis of FANCB in fetal case FC10 (c). Y-axis scale with 100% representing a normal copy number and values above and below representing duplications and deletions respectively (0% representing homo-/hemizygous deletion). Results shown as blue bars emanating from baseline (100%). Analysis results in FC10 showing six control probes with normal copy number and hemizygous deletions of all FANCB exons. Lower images show malformations identified in fetal case FC10: left thumb agenesis (left), right thumb hypoplasia (middle) and imperforate anus (right) (d).
Results from array-CGH and karyotype analysis in fetal case FC14.
For each probe, the log2-fluorescence signal ratio is displayed on the Y-axis and the chromosomal location on the X-axis. A 7.3 Mb-deletion on the p-arm of chromosome 9, del(9)(p24.3p24.1) (a) and a 34.3 Mb-duplication on the q-arm of chromosome 18, dup(18)(q12.3q23) (b) are shown. Both aberrations result from an unbalanced translocation involving chromosomes 9 and 18 (c).
Results from array-CGH and MLPA analysis on genomic DNA from fetal case FC10.
Upper images show a hemizygous deletion (mean log2-ratio -2.5) on Xp22.2 comprising two probes located within the FANCB gene consistent with a diagnosis of X-linked VACTERL (a, b). Results from MLPA analysis of FANCB in fetal case FC10 (c). Y-axis scale with 100% representing a normal copy number and values above and below representing duplications and deletions respectively (0% representing homo-/hemizygous deletion). Results shown as blue bars emanating from baseline (100%). Analysis results in FC10 showing six control probes with normal copy number and hemizygous deletions of all FANCB exons. Lower images show malformations identified in fetal case FC10: left thumb agenesis (left), right thumb hypoplasia (middle) and imperforate anus (right) (d).Genomic coordinates according to genomic build Mar. 2006 (NCBI36/hg18).In total, we detected 26 additional gene dose alterations of unclear clinical significance that do not correspond to previously reported deletions or duplications in DGV or in the DECIPHER database (Table S4).
DNA- and cDNA-sequencing
PCSK5
DNA-sequencing identified three heterozygous non-synonymous missense variants; one predicted to be damaging (c.4958G>A, p.Cys1653Tyr) and two predicted to be benign (c.2324G>A, p.Arg775Gln and c.4642G>A, p.Glu1548Lys), that were not detected in 95 healthy blood donors (Fig. 3a, Table 3). The p.Cys1653Tyr variant, predicted to be damaging, was detected in fetal case FC4 who showed anal atresia, a ventricular septal defect (VSD), unilateral renal agenesis, a hypoplastic 12th rib pair and some dysmorphic facial features. In addition, a heterozygous non-synonymous missense variant in exon 32 was identified (c.4278G>C, p.Leu1426Phe) that was found in 1/95 healthy blood donors (Table 3). All the PCSK5 variants were identified in fetal cases without access to parental samples. All detected variants were recently reported in dbSNP, while only two (rs201136565 (p.Cys1653Tyr) and rs150021157 (p.Leu1426Phe)) were reported in the Exome Variant Server (Aug, 2013) (Table 3).
Figure 3
Results from DNA sequencing of the PCSK5 gene and protein sequence alignment.
a. Upper part showing exons of the PCSK5 gene (ENSG00000099139) with location of detected sequence variants indicated by black arrows (our study) and crosshatched arrows (Szumska et al.)[18]. Star indicates variant detected in one fetal case in our study and in two patients by Szumska et al. (c.4642G>A, p.Glu1548Lys). Lower part of figure showing the two isoforms of PCSK5 with protein domains, based on image from Seidah et al. [35]. Prolonged arrow indicating the amino acid change p.Arg775Gln in both PCSK5 protein isoforms. Dagger indicates variant that was reported by Szumska et al. and was later reported as a non-synonymous coding SNP (rs114508164, P1201S). SP signal peptide, PP propeptide, CD catalytic domain, P P-domain, CRM cysteine-rich motif, TM transmembrane domain, C cytosolic tail. b. Results from PCSK5 DNA sequencing show heterozygous missense variants (*) in fetal cases FC8, FC12 and FC4. For each detected variant, the corresponding protein sequence alignment of 6 vertebrate PCSK5B sequences is shown beneath, revealing conservation of Cys-1653 in all 6 species (mammals, birds, amphibians and fish), Glu-1548 in mammals and Arg-775 only in primates.
Table 3
PCSK5 variants and corresponding phenotypes in fetal cases with VACTERL association.
Patient/ fetal case
Detected variant
V
A
C
T
E
R
L
Other birth defects
Inheritance
Presence in controls
GT freq. (dbSNP)
FC4
c.4958G>A
x
x
x
x
x
na
0/95
rs201136565
p.Cys1653Tyr
A/G 0.3%
FC8
c.2324G>A
x
x
x
x
na
0/95
rs200195178
p.Arg775Gln
no frequency data
FC12
c.4642G>A
x
x
x
x
x
na
0/95
rs201074605
p.Glu1548Lys
A/G 1.1%
FC19
c.4278G>C
x
x
x
x
x
x
na
1/95
rs150021157
p.Leu1426Phe
C/G 2.8%
RC251
p.Glu1229Lys
x†
x
x
x
x
x
maternal
-
-
(p.Glu1256Lys)
RC371
p.Glu1548Lys
x†*
x
x
x
x
x
ns
1/228
rs201074605
(p.Glu1575Lys)
A/G 1.1%
goa131
p.Glu1548Lys
x†
x
x
x
x
x
paternal
1/228
rs201074605
(p.Glu1575Lys)
A/G 1.1%
RC151
p.Pro1201Ser
x†*
x
x
maternal2
-
rs114508164
(p.Pro1228Ser)
no frequency data
RC301
Val1223Ile
x†
x
x
maternal
-
-
(Val1250Ile)
PCSK5 variants detected in this study and corresponding phenotypes presented together with PCSK5 variants and phenotypes reported by Szumska et al [18]. Aa-residue numbering according to UniProtKB PCSK5 accession nr Q92824 (aa-numbering used by Szumska et al. shown beneath in parentheses), GT freq. genotype frequency, - not present, na not analysed, ns not stated, *Currarino syndrome diagnosis (MNX1 status not reported), †sacral agenesis, 1patients reported by Szumska et al., 2present also in two healthy sisters with heterozygous and homozygous variants respectively.
Results from DNA sequencing of the PCSK5 gene and protein sequence alignment.
a. Upper part showing exons of the PCSK5 gene (ENSG00000099139) with location of detected sequence variants indicated by black arrows (our study) and crosshatched arrows (Szumska et al.)[18]. Star indicates variant detected in one fetal case in our study and in two patients by Szumska et al. (c.4642G>A, p.Glu1548Lys). Lower part of figure showing the two isoforms of PCSK5 with protein domains, based on image from Seidah et al. [35]. Prolonged arrow indicating the amino acid change p.Arg775Gln in both PCSK5 protein isoforms. Dagger indicates variant that was reported by Szumska et al. and was later reported as a non-synonymous coding SNP (rs114508164, P1201S). SP signal peptide, PP propeptide, CD catalytic domain, P P-domain, CRM cysteine-rich motif, TM transmembrane domain, C cytosolic tail. b. Results from PCSK5 DNA sequencing show heterozygous missense variants (*) in fetal cases FC8, FC12 and FC4. For each detected variant, the corresponding protein sequence alignment of 6 vertebrate PCSK5B sequences is shown beneath, revealing conservation of Cys-1653 in all 6 species (mammals, birds, amphibians and fish), Glu-1548 in mammals and Arg-775 only in primates.PCSK5 variants detected in this study and corresponding phenotypes presented together with PCSK5 variants and phenotypes reported by Szumska et al [18]. Aa-residue numbering according to UniProtKB PCSK5 accession nr Q92824 (aa-numbering used by Szumska et al. shown beneath in parentheses), GT freq. genotype frequency, - not present, na not analysed, ns not stated, *Currarino syndrome diagnosis (MNX1 status not reported), †sacral agenesis, 1patients reported by Szumska et al., 2present also in two healthy sisters with heterozygous and homozygous variants respectively.
HOXD13
A paternally inherited heterozygous 9 bp-deletion in a polyalanine region of HOXD13 was identified in patient V4 (Table 4), resulting in a loss of three alanine residues on protein level, consistent with a reported polymorphism (http://www.uniprot.org/).
Table 4
Detected variants in HOXD13 and CHD7.
Patient
Detected variant
Inheritance
Clinical significance
V4
HOXD13
paternal
likely benign
c.183_191del
p.Ala182_Ala184del
V15
CHD7
de novo
pathogenic
c.3202-1 G>C
V7
CHD7
na
likely benign
c.3202-5 T>C
Variants detected after DNA sequencing of HOXD13 and CHD7.
Variants detected after DNA sequencing of HOXD13 and CHD7.A heterozygous de novo mutation (c.3202-1G>C) predicted by the Alamut program to affect splicing, was identified in patientV15 (Fig. 4, Table 4), consistent with CHARGE syndrome. The clinical manifestations of the patient include a combined heart malformation, esophageal atresia, cleft lip and palate, deafness of the left ear and micropenis. Further, a heterozygous intronic unknown variant, (c.3202-5T>C) was detected in patient V7 who has five of the VACTERL criteria and only one of the minor CHARGE criteria (Table 4). This mutation has previously been reported as pathogenic in four cases in the CHD7 database (www.chd7.org). Of the corresponding publications [23], [24], one article is not written in English and the other does not include phenotypic descriptions or a motivation to the interpretation of the mutation as pathogenic. In our patient, DNA from the biological parents was unavailable and inheritance status could not be determined. cDNA synthesis and subsequent PCR-based amplification revealed single bands of equal size and intensity in the patient and in a healthy control when analyzed on agarose gel electrophoresis (data not shown) and sequencing of the PCR-product did not indicate that the mutation would affect CHD7 splicing. The splice prediction function in the Alamut v2.0 software did not predict the mutation to strongly affect splicing.
Figure 4
Results from DNA sequencing of the CHD7 gene.
Upper part showing single base mutations in intron 12 of the CHD7 gene reported in the CHD7 database (www.chd7.org) together with the pathogenic c.3202-1 G>C mutation identified in patient V15 (1). The c.3202-5T>C mutation (2) has been reported in four patients in the CHD7 database and was found in patient V7 in our study. We consider the mutation to be of unclear clinical significance since experimental evidence does not indicate that it affects splicing. Lower part showing the pathogenic mutation c.3202-1G>C (*) detected in patient V15 in forward (F) and reverse (R) sequences.
Results from DNA sequencing of the CHD7 gene.
Upper part showing single base mutations in intron 12 of the CHD7 gene reported in the CHD7 database (www.chd7.org) together with the pathogenic c.3202-1 G>C mutation identified in patientV15 (1). The c.3202-5T>C mutation (2) has been reported in four patients in the CHD7 database and was found in patient V7 in our study. We consider the mutation to be of unclear clinical significance since experimental evidence does not indicate that it affects splicing. Lower part showing the pathogenic mutation c.3202-1G>C (*) detected in patientV15 in forward (F) and reverse (R) sequences.Searches in the PINA database to firstly identify possible interactions between proteins encoded by genes in the 9p-deletion and 18q-duplication, and secondly between proteins encoded by genes in the detected gene dose alterations (the 9p-deletion/18q-duplication, FANCB deletion and the gene dose alterations of unclear clinical significance) and VACTERL candidate genes, resulted in a number of putative interactions presented in Table S3.
Discussion
We have performed array-CGH on DNA from 39 patients and fetal cases with VACTERL diagnosis or a VACTERL-like phenotype. In two out of the 19 fetal cases pathogenic gene dose alterations were identified. In one fetal case, a terminal 18q-duplication and 9p-deletion was shown to be caused by a (9;18)(p24.1;q12.3) unbalanced translocation inherited from the father who was a balanced carrier. A clinical overlap between the VACTERL and trisomy 18 phenotypes can be observed [25] and a del(9)(p23p24) has previously been described in a CHARGE patient, indicating phenotypical similarities between these conditions, although the reported patient also had a 13q-duplication [26]. In the second fetal case, a whole-gene deletion of FANCB was identified together with a dup(16)(p12.3p13.11) that has been associated with malformations [27], [28]. Fanconi anemia is a syndrome characterized by high risk of bone marrow failure and malignancy, and malformations in about 60% of patients [29]. Whole FANCB gene deletions in males with Fanconi anemia presenting as VACTERL have been reported twice, in both cases the aberrations were detected by array-CGH screening [30], [31]. It is not possible to draw any conclusion whether the 16p-duplication may have contributed to the fetal phenotype since the FANCB deletion alone with certainty can explain the fetal malformations. In summary our results support published data that clearly pathogenic gene dose imbalances are rarely found in VACTERL patients [10], [16], [17].Mutation screening of PCSK5 and HOXD13 was initiated after reported mutations in VACTERL cases [18], [19], while CHD7 was screened due to the clinical overlap between CHARGE and VACTERL phenotypes. Our findings show the value of considering CHD7 analysis in patients with a VACTERL phenotype. Screening of HOXD13 and PCSK5 did not reveal any obvious pathogenic mutations and their role in the etiology of VACTERL remains unclear, however, it is possible that the detected PCSK5 variants could represent pathogenic variants with reduced penetrance. For further investigation of genes implicated in VACTERL association, it would be of interest to perform mutation screening of ZIC3, a gene associated with X-linked heterotaxy in which mutations have been detected in a few patients with VACTERL association phenotypes [13], [32].The apparent low number of findings in genetic studies of VACTERL may be the result of “true” VACTERL cases (without additional malformations, growth restriction or facial dysmorphism) being due to other than genetic causes such as epigenetic factors, disruptive processes during pregnancy or maternal disease. Recent twin studies support a low proportion of genetic abnormalities found in VACTERL patients [33], [34].The results of our study show, that array-CGH may be considered as a diagnostic tool in patients with VACTERL association. To search for additional causative mutations we plan systematic high throughput-sequencing in VACTERL patients.Summary of clinical findings in patients and fetal cases with VACTERL association or a VACTERL-like phenotype(DOC)Click here for additional data file.Summary of genetic analyses performed in patients and fetal cases(DOC)Click here for additional data file.Protein-protein interactions between proteins encoded by genes in detected CNVs and VACTERL candidate genes*(DOC)Click here for additional data file.Copy number variants of unclear clinical significance detected by array-CGH(XLS)Click here for additional data file.
Authors: D Sanlaville; S P Romana; J M Lapierre; J Amiel; D Genevieve; C Ozilou; M Le Lorch; S Brisset; P Gosset; C Baumann; C Turleau; S Lyonnet; M Vekemans Journal: Clin Genet Date: 2002-02 Impact factor: 4.438
Authors: Brian Chung; Lisa G Shaffer; Sarah Keating; Joan Johnson; Bret Casey; David Chitayat Journal: Am J Med Genet A Date: 2011-04-04 Impact factor: 2.802
Authors: Alina Hilger; Charlotte Schramm; Tracie Pennimpede; Lars Wittler; Gabriel C Dworschak; Enrika Bartels; Hartmut Engels; Alexander M Zink; Franziska Degenhardt; Annette M Müller; Eberhard Schmiedeke; Sabine Grasshoff-Derr; Stefanie Märzheuser; Stuart Hosie; Stefan Holland-Cunz; Charlotte H W Wijers; Carlo L M Marcelis; Iris A L M van Rooij; Friedhelm Hildebrandt; Bernhard G Herrmann; Markus M Nöthen; Michael Ludwig; Heiko Reutter; Markus Draaken Journal: Eur J Hum Genet Date: 2013-04-03 Impact factor: 4.246
Authors: Enrika Bartels; Anna C Schulz; Nicole W Mora; Daniel E Pineda-Alvarez; Charlotte H W Wijers; Carlo M Marcelis; Rüdiger Stressig; Jochen Ritgen; Eberhard Schmiedeke; Manuel Mattheisen; Markus Draaken; Per Hoffmann; Alina C Hilger; Gabriel C Dworschak; Friederike Baudisch; Michael Ludwig; Soyhan Bagci; Andreas Müller; Ulrich Gembruch; Annegret Geipel; Christoph Berg; Peter Bartmann; Markus M Nöthen; Iris A L M van Rooij; Benjamin D Solomon; Heiko M Reutter Journal: Clin Dysmorphol Date: 2012-10 Impact factor: 0.816
Authors: Olga M Moreno; Ana I Sánchez; Angélica Herreño; Gustavo Giraldo; Fernando Suárez; Juan Carlos Prieto; Ana Shaia Clavijo; Mercedes Olaya; Yaris Vargas; Javier Benítez; Jordi Surallés; Adriana Rojas Journal: Mol Syndromol Date: 2020-11-11
Authors: Moonjung Jung; Ramanagouda Ramanagoudr-Bhojappa; Sylvie van Twest; Rasim Ozgur Rosti; Vincent Murphy; Winnie Tan; Frank X Donovan; Francis P Lach; Danielle C Kimble; Caroline S Jiang; Roger Vaughan; Parinda A Mehta; Filomena Pierri; Carlo Dufour; Arleen D Auerbach; Andrew J Deans; Agata Smogorzewska; Settara C Chandrasekharappa Journal: Blood Date: 2020-04-30 Impact factor: 25.476
Authors: Romy van de Putte; Iris A L M van Rooij; Cynthia P Haanappel; Carlo L M Marcelis; Han G Brunner; Marie-Claude Addor; Clara Cavero-Carbonell; Carlos M Dias; Elizabeth S Draper; Larraitz Etxebarriarteun; Miriam Gatt; Babak Khoshnood; Agnieszka Kinsner-Ovaskainen; Kari Klungsoyr; Jenny J Kurinczuk; Anna Latos-Bielenska; Karen Luyt; Mary T O'Mahony; Nicola Miller; Carmel Mullaney; Vera Nelen; Amanda J Neville; Isabelle Perthus; Anna Pierini; Hanitra Randrianaivo; Judith Rankin; Anke Rissmann; Florence Rouget; Bruno Schaub; David Tucker; Diana Wellesley; Awi Wiesel; Natalya Zymak-Zakutnia; Maria Loane; Ingeborg Barisic; Hermien E K de Walle; Jorieke E H Bergman; Nel Roeleveld Journal: Birth Defects Res Date: 2020-04-22 Impact factor: 2.344
Authors: Rajalakshmi S Asur; Danielle C Kimble; Francis P Lach; Moonjung Jung; Frank X Donovan; Aparna Kamat; Raymond J Noonan; James W Thomas; Morgan Park; Peter Chines; Adrianna Vlachos; Arleen D Auerbach; Agata Smogorzewska; Settara C Chandrasekharappa Journal: Mol Genet Genomic Med Date: 2017-11-30 Impact factor: 2.183
Authors: Johanna Winberg; Peter Gustavsson; Ellika Sahlin; Magnus Larsson; Henrik Ehrén; Magdalena Fossum; Tomas Wester; Ann Nordgren; Agneta Nordenskjöld Journal: Mol Genet Genomic Med Date: 2019-12-14 Impact factor: 2.183