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Genetic Architecture of CHD in NICU patients – UMC Ljubljana Experience

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11 May 2024

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13 May 2024

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Abstract
Congenital heart disease (CHD) is the most commonly detected congenital anomaly and affects up to 1 % of all live-born neonates. Current guidelines support the use of Chromosomal Microarray Analysis (CMA) and Next Generation Sequencing (NGS) as diagnostic approaches to identify genetic causes. The aim of our study was to evaluate the diagnostic yield of CMA and NGS in a cohort of neonates with both isolated and syndromic CHD. The present study included 188 infants under 28 days of age with abnormal echocardiography findings hospitalized at the Department of Neonatology, UMC Ljubljana, between January 2014 and December 2023. Phenotypic data were obtained for each infant by retrospective medical chart review. We established the genetic diagnosis of 22 distinct syndromes in 17% of neonates. The most common genetic diagnoses were 22q11.2 microdeletion (22.7%) and CHARGE syndromes (22.7%), Noonan syndrome (9.1%), and Williams syndrome (9.1%). In addition, we detected variants of uncertain significance in 4.8% of neonates. Timely genetic diagnosis is important for the detection of syndrome-related comorbidities, prognosis, reproductive genetic risks and, when appropriate, genetic testing of other family members.
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Subject: Medicine and Pharmacology  -   Cardiac and Cardiovascular Systems

1. Introduction

Congenital heart defects (CHD) are structural anomalies of the heart and great vessels resulting from errors in early embryogenesis. They are the most commonly detected congenital anomaly affecting 0.8–1% of all live-born infants [1] and present a major cause of morbidity and mortality in infancy [2].
The etiology of CHD is deemed to be multifactorial, an interplay of genetic and environmental factors. CHDs can be caused by environmental exposure to teratogens such as drugs, viral infections, and maternal conditions such as obesity and diabetes [3]. Genetic influences are supported by observed relatively high recurrence risk in families and well-established association of CHD with chromosomal abnormalities [4]; however, the cause of the disease remains unexplained in up to 60% of CHD patients [5]. Genetic cause elucidation is also challenging because of CHD's genetic and phenotypic heterogeneity [6]. With current diagnostic methods mainly comprising cytogenetic techniques (karyotyping and copy number variant platforms) and next-generation sequencing (NGS), we can reach a genetic diagnosis in 18–36% of CHD patients [7]. The overall yield of genetic testing depends on the type of congenital heart malformation, the presence of extracardiac congenital anomalies, and the genetic test modality [7,8].
The value of genetic testing in the setting of CHD lies in the defining etiology and consequently ending diagnostic odyssey for patients and families, possible detection of additional health problems associated with genetic diagnosis, prognostic information for clinical outcomes, genetic reproductive risks for the family, and genetic testing of additional family members when appropriate [9,10].
The aim of this study was to assess the diagnostic yield of genetic testing in the clinical evaluation of neonates with diagnosed CHD who were hospitalized at the Department of Neonatology, Division of Paediatrics, University Medical Centre (UMC) Ljubljana.

2. Materials and Methods

2.1. Patient Selection

In the present study, we enrolled neonates under 28 days with abnormal findings on echocardiography who were hospitalized in the Department of Neonatology, Division of Paediatrics, UMC Ljubljana between January 2014 and December 2023. Phenotypic data was obtained through retrospective chart review for each neonate. Neonates with isolated hemodynamically insignificant patent ductus arteriosus (PDA), isolated hemodynamically insignificant patent foramen ovale (PFO), cardiomyopathies, vasculopathies, and neonates exposed to known environmental teratogenic factors were excluded. We also excluded neonates with prenatally or perinatally detected common trisomies, namely trisomy 13, 18, and 21. Neonates were assigned into one of two groups based on the presence of isolated CHD or additional extracardiac anomalies. Neonates with isolated CHD were subdivided into three groups based on the complexity of congenital heart malformation according to Botto classification (simple, association, and complex). Chromosomal microarray analysis (CMA) was performed as a first-tier genetic test in all neonates with CHD, except in 11 neonatal patients in whom high possibility of monogenic disorder based on the phenotype was detected, and next-generation sequencing (NGS) was performed as a first-tier genetic test instead. In most neonatal CHD patients, however, NGS was performed in neonates with normal CMA results and clinical suspicion of monogenic disease. Informed consent was obtained from the parents of the neonates in accordance with guidelines established by the institutional review boards at their primary site of care.

2.2. Genetic and Bioinformatic Analysis

2.2.1. CMA and Classification of Results

According to the manufacturer's protocol, the DNA was isolated from peripheral blood samples using the Qiagen Mini kit (Qiagen, Valencia, CA). The quality and concentration parameters of the DNA were measured on a NanoDrop 2000c spectrophotometer (Thermo Fisher Scientific Inc.) and a Qubit 2.0 fluorometer (Life Technologies Inc.). Following the sample extraction, the DNA was processed according to the Agilent protocol (Version 8.0 December 2019) using commercially available male and female genomic DNA (Agilent Technologies, Human Reference DNA, Male and Female) as a reference DNA. The Agilent SurePrint G3 Unrestricted CGH 4x180K microarrays were used, which provide a practical average resolution of 50 kb. The array images were acquired using the Agilent laser scanner G2565CA. The image files were quantified using the Agilent Feature extraction software for Cytogenomics 5.3 and analyzed with the Agilent Cytogenomics 5.3 software (Agilent Technologies). Called copy number variants (CNV) were aligned with known aberrations in publicly available databases—ClinGen (http://dbsearch.clinicalgenome.org/search/), DECIPHER (Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources https://decipher.sanger ac.uk/), Database of Genomic Variants (DGV) (http://dgv.tcag.ca/dgv/app/home), as well as with the in-house database of detected variants and their clinical significance, ascertained by the trained analysts. All called CNVs were classified according to ACMG Standards and Guidelines [11].

2.2.2. Next-Generation Sequencing and Variant Interpretation

NGS was performed on the isolated DNA samples at the Clinical Institute for Special Laboratory Diagnostics, University Children's Hospital, UMC Ljubljana, and/or the Clinical Institute of Genomic Medicine, UMC Ljubljana.
We prepared NGS libraries according to standard Illumina protocols (Illumina DNA Prep with Enrichment). Sequencing was performed using Illumina instruments (NovaSeq 6000, NextSeq 550, or MiSeq). We processed, mapped, and aligned raw-read data and identified variants using standard bioinformatics pipelines used at the Clinical Institute for Special Laboratory Diagnostics, University Children's Hospital, UMC Ljubljana, or at the Center for Mendelian Genomics, CIGM, UMC Ljubljana. The interpretation of sequence variants was based on the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) Standards and Guidelines [12].

3. Results

The present study included 188 neonates diagnosed with CHD who underwent genetic testing when hospitalized at the Department of Neonatology, Division of Paediatrics, UMC Ljubljana. The cohort comprised 36% of neonates with isolated CHD and 64% of neonates with CHD and additional extracardiac congenital anomalies. Neonates clinically diagnosed with isolated CHD were assigned to one of the three groups according to Botto classification; 15% of neonates were diagnosed with simple isolated CHD, 10% with an association, and 11% with complex CHD (Table 1). CMA was performed as a first-tier test in 94% of neonates; in 6% of neonates, NGS was performed instead due to the high phenotype specificity of a monogenic genetic cause. In two cases of abnormal CMA results, karyotype and FISH were employed to delineate chromosomal aberrations further (Figure 1).
We established the genetic diagnosis of 22 distinct genetic syndromes in 17% of neonates. Genetic cause of CHD was identified in 24.8% of neonates with CHD and additional extra-cardiac anomaly and 3% of neonates with isolated CHD. For neonates with isolated CHD, the diagnosis was made in 5% of complex isolated CHD and 5.6% of associations, and none of the patients with simple isolated CHD. The diagnosis was reached by CMA in 11% of neonates. The most common microdeletion syndromes were 22q11.2 microdeletion syndrome (22.7%) and Williams syndrome (9.1%) (Table 2). By using NGS either sequentially to CMA or as a first-tier genetic test, the diagnosis was reached in 7.4% of neonates with CHD. The most common monogenic conditions identified were CHARGE syndrome (22.7%) and Noonan syndrome (9.1%) (Table 2).
In one patient, we have established a dual genetic diagnosis of 17q12 microduplication syndrome and Weaver syndrome. The phenotype present has characteristics of both conditions. Phenotypes and genetic diagnosis are described in detail in Table 2. Additionally, we detected variants of uncertain significance in 4.8% of neonates with CHD (Table 3).

4. Discussion

In a cohort of 188 neonates with CHD, we identified a genetic cause in 17% of patients. As all phenotypic features of genetic diseases are not always fully present at birth, but may only become apparent during the course of the child's development (e.g. global developmental delay), neonatal CHD patients present a diagnostic challenge that differs from paediatric or adult patients. The general recommendation for clinical genetic testing in CHD includes CMA as a first-tier and exome sequencing as a second-tier genetic test [13,14]. In this paper, we report on a clinical experience of using the recommended protocol in a cohort of neonates in the Slovenian National Tertiary Centre.
The diagnostic yield of CMA in our experience was 11%. The most frequently detected copy number variants associated with syndromic CHDs were those present in 22q11.2 microdeletion syndrome and Williams syndromes. Reported diagnostic yields in other studies varied considerably among different subgroups of CHDs [13,15,16].
The most frequently detected monogenic causes of syndromic CHD were Noonan and CHARGE syndromes. Exome and whole genome sequencing are increasingly used in research, but also in the clinical setting. However, diagnostic rates still differ across the studies and tested phenotypes [17,18,19]. In addition, rapid WGS demonstrated the yield in 27% of individuals with CHD, leading to changes in clinical management in 62% of patients with diagnostic results [20].
The incremental yield of whole genome sequencing over QF-PCR and CMA was estimated to be 26% for the cohort of congenital anomalies patients, with no significant yield increase over exome sequencing [21].
Interestingly, a dual genetic diagnosis was established in one patient in our cohort with a combination of clinical signs of both 17q12 microduplication syndrome and Weaver syndrome, highlighting the complexity of making a genetic diagnosis.
We found a genetic diagnosis in 3% of neonates with isolated CHD. It was estimated that 13.4% of infants with isolated CHD with identifiable genetic causes would have been missed if genetic testing had not been offered [22]. Although the yield of genetic testing in newborns with isolated CHD is relatively low, it is still important to offer them genetic testing because of the clinical benefit of molecular diagnosis. Timely diagnosis provides information about the prognosis and enables us to organise better surveillance for patients. It also provides us with information about the risk of recurrence in future pregnancies of the parents.

5. Conclusions

In a cohort of 188 neonates with CHD, we were able to identify a genetic cause in 17% of patients using CMA and NGS. Timely genetic diagnosis is important for the detection of syndrome-related comorbidities, prognosis, reproductive genetic risks and, when appropriate, genetic testing of other family members.

Author Contributions

Conceptualization G.N. and A.P.; methodology, L.L, A.M. and M. D., formal analysis, L.L, A.M., K.W. and M. D.; data curation, A.P and G.N.; writing—original draft preparation, A.P.; writing—review and editing, A.P., K.W., S.B, G.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Medical Ethics Committee of the Republic of Slovenia (protocol code: 0120-234/2019/9, date of approval: 19.09.2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author due to the reasons regarding privacy of the patients.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Lalani, S.R. Other Genomic Disorders and Congenital Heart Disease. American J of Med Genetics Pt C 2020, 184, 107–115. [Google Scholar] [CrossRef] [PubMed]
  2. Diab, N.S.; Barish, S.; Dong, W.; Zhao, S.; Allington, G.; Yu, X.; Kahle, K.T.; Brueckner, M.; Jin, S.C. Molecular Genetics and Complex Inheritance of Congenital Heart Disease. Genes 2021, 12, 1020. [Google Scholar] [CrossRef] [PubMed]
  3. Suluba, E.; Shuwei, L.; Xia, Q.; Mwanga, A. Congenital Heart Diseases: Genetics, Non-Inherited Risk Factors, and Signaling Pathways. Egypt J Med Hum Genet 2020, 21, 11. [Google Scholar] [CrossRef]
  4. Fotiou, E.; Williams, S.; Martin-Geary, A.; Robertson, D.L.; Tenin, G.; Hentges, K.E.; Keavney, B. Integration of Large-Scale Genomic Data Sources With Evolutionary History Reveals Novel Genetic Loci for Congenital Heart Disease. Circ: Genomic and Precision Medicine 2019, 12, e002694. [Google Scholar] [CrossRef] [PubMed]
  5. Page, D.J.; Miossec, M.J.; Williams, S.G.; Monaghan, R.M.; Fotiou, E.; Cordell, H.J.; Sutcliffe, L.; Topf, A.; Bourgey, M.; Bourque, G.; et al. Whole Exome Sequencing Reveals the Major Genetic Contributors to Nonsyndromic Tetralogy of Fallot. Circ Res 2019, 124, 553–563. [Google Scholar] [CrossRef] [PubMed]
  6. Shabana, N.; Shahid, S.U.; Irfan, U. Genetic Contribution to Congenital Heart Disease (CHD). Pediatr Cardiol 2020, 41, 12–23. [Google Scholar] [CrossRef] [PubMed]
  7. Geddes, G.C.; Basel, D.; Frommelt, P.; Kinney, A.; Earing, M. Genetic Testing Protocol Reduces Costs and Increases Rate of Genetic Diagnosis in Infants with Congenital Heart Disease. Pediatr Cardiol 2017, 38, 1465–1470. [Google Scholar] [CrossRef]
  8. Ahrens-Nicklas, R.C.; Khan, S.; Garbarini, J.; Woyciechowski, S.; D’Alessandro, L.; Zackai, E.H.; Deardorff, M.A.; Goldmuntz, E. Utility of Genetic Evaluation in Infants with Congenital Heart Defects Admitted to the Cardiac Intensive Care Unit. American J of Med Genetics Pt A 2016, 170, 3090–3097. [Google Scholar] [CrossRef]
  9. Roos-Hesselink, J.W.; Kerstjens-Frederikse, W.S.; Meijboom, F.J.; Pieper, P.G. Inheritance of Congenital Heart Disease. Neth Heart J 2005, 13, 88–91. [Google Scholar]
  10. Pierpont, M.E.; Basson, C.T.; Benson, D.W.; Gelb, B.D.; Giglia, T.M.; Goldmuntz, E.; McGee, G.; Sable, C.A.; Srivastava, D.; Webb, C.L. Genetic Basis for Congenital Heart Defects: Current Knowledge: A Scientific Statement From the American Heart Association Congenital Cardiac Defects Committee, Council on Cardiovascular Disease in the Young: Endorsed by the American Academy of Pediatrics. Circulation 2007, 115, 3015–3038. [Google Scholar] [CrossRef]
  11. Kearney, H.M.; Thorland, E.C.; Brown, K.K.; Quintero-Rivera, F.; South, S.T. American College of Medical Genetics Standards and Guidelines for Interpretation and Reporting of Postnatal Constitutional Copy Number Variants. Genetics in Medicine 2011, 13, 680–685. [Google Scholar] [CrossRef] [PubMed]
  12. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. 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. Genetics in Medicine 2015, 17, 405–424. [Google Scholar] [CrossRef] [PubMed]
  13. Wu, X.; Li, R.; Fu, F.; Pan, M.; Han, J.; Yang, X.; Zhang, Y.; Li, F.; Liao, C. Chromosome Microarray Analysis in the Investigation of Children with Congenital Heart Disease. BMC Pediatr 2017, 17, 117. [Google Scholar] [CrossRef] [PubMed]
  14. Jerves, T.; Beaton, A.; Kruszka, P. The Genetic Workup for Structural Congenital Heart Disease. American J of Med Genetics Pt C 2020, 184, 178–186. [Google Scholar] [CrossRef]
  15. Geng, J.; Picker, J.; Zheng, Z.; Zhang, X.; Wang, J.; Hisama, F.; Brown, D.W.; Mullen, M.P.; Harris, D.; Stoler, J.; et al. Chromosome Microarray Testing for Patients with Congenital Heart Defects Reveals Novel Disease Causing Loci and High Diagnostic Yield. BMC Genomics 2014, 15, 1127. [Google Scholar] [CrossRef] [PubMed]
  16. Wang, Y.; Li, R.; Fu, F.; Huang, R.; Li, D.; Liao, C. Prenatal Genetic Diagnosis Associated with Fetal Ventricular Septal Defect: An Assessment Based on Chromosomal Microarray Analysis and Exome Sequencing. Front. Genet. 2023, 14, 1260995. [Google Scholar] [CrossRef] [PubMed]
  17. Slavotinek, A.M.; Thompson, M.L.; Martin, L.J.; Gelb, B.D. Diagnostic Yield after Next-Generation Sequencing in Pediatric Cardiovascular Disease. Human Genetics and Genomics Advances 2024, 5, 100286. [Google Scholar] [CrossRef]
  18. Li, R.; Fu, F.; Yu, Q.; Wang, D.; Jing, X.; Zhang, Y.; Li, F.; Li, F.; Han, J.; Pan, M.; et al. Prenatal Exome Sequencing in Fetuses with Congenital Heart Defects. Clinical Genetics 2020, 98, 215–230. [Google Scholar] [CrossRef] [PubMed]
  19. D’Souza, E.E.; Findley, T.O.; Hu, R.; Khazal, Z.S.H.; Signorello, R.; Dash, C.; D’Gama, A.M.; Feldman, H.A.; Agrawal, P.B.; Wojcik, M.H.; et al. Genomic Testing and Molecular Diagnosis among Infants with Congenital Heart Disease in the Neonatal Intensive Care Unit. J Perinatol 2024. [Google Scholar] [CrossRef] [PubMed]
  20. Hays, T.; Hernan, R.; Disco, M.; Griffin, E.L.; Goldshtrom, N.; Vargas, D.; Krishnamurthy, G.; Bomback, M.; Rehman, A.U.; Wilson, A.T.; et al. Implementation of Rapid Genome Sequencing for Critically Ill Infants With Complex Congenital Heart Disease. Circ: Genomic and Precision Medicine 2023, 16, 415–420. [Google Scholar] [CrossRef]
  21. Shreeve, N.; Sproule, C.; Choy, K.W.; Dong, Z.; Gajewska-Knapik, K.; Kilby, M.D.; Mone, F. Incremental Yield of Whole-genome Sequencing over Chromosomal Microarray Analysis and Exome Sequencing for Congenital Anomalies in Prenatal Period and Infancy: Systematic Review and Meta-analysis. Ultrasound in Obstet & Gyne 2024, 63, 15–23. [Google Scholar] [CrossRef] [PubMed]
  22. Helm, B.M.; Ware, S.M. Clinical Decision Analysis of Genetic Evaluation and Testing in 1013 Intensive Care Unit Infants with Congenital Heart Defects Supports Universal Genetic Testing. Genes 2024, 15, 505. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Venn diagram showing the distribution of genetic testing modalities applied in the cohort of neonates with CHD.
Figure 1. Venn diagram showing the distribution of genetic testing modalities applied in the cohort of neonates with CHD.
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Table 1. Patients divided into groups according to the Botto classification of congenital heart defect (CHD).
Table 1. Patients divided into groups according to the Botto classification of congenital heart defect (CHD).
Category N of neonates (%)
Isolated CHD Simple 29 (15)
Association 18 (10)
Complex 20 (11)
CHD with extracardiac defect 121 (64)
Table 2. Neonates with congenital heart disease and detected genetic abnormalities.
Table 2. Neonates with congenital heart disease and detected genetic abnormalities.
N Congenital heart disease Extracardiac defects Results of genetic diagnostics Geneticlassification Syndrome
1 sASD kidney anomaly arr[hg19] 7q11.23(72,766,313-74,133,332)x1 P Williams syndrome
2 SVAS + stenosis of both pulmonary arteries / arr[hg19] 7q11.23(73,474,931-73,493,893)×1 P Williams syndrome
3 mVSD, BAV hypotonia, hypoplasia of the corpus callosum, feeding difficulties, cryptorchidism, dysmorphic facies 46,XY, del(8)(p23.3p23.3),dup(8)(p12p23)dn P 8p inverted duplication/deletion syndrome
4 VSD congenital hydronephrosis, dysmorphic facies arr[GRCh37] 10q26.13q26.3(126528827-135061104)×1 P 10q26 deletion syndrome
5 VSD, ASD dysmorphic facies arr[GRCh37] 22q11.21(21081260-21431174)×1 P 22q11.2 microdeletion syndrome
6 pmVSD coloboma of irises, hypotonia, anorectal anomaly, feeding difficulty arr[GRCh37]11q23.3q25(119369472-134904063)x1 P Jacobsen syndrome
7 TGA, ASD, PDA LGA arr[GRCh37] 17q12(35149908-36214026)×3, mat P 17q12 microduplication syndrome
EZH2(NM_004456.5): c.2051G>A P Weaver syndrome
8 aortic valve stenosis, BAV, sASD / 47,XY,+mar.ish der(22)(pter->q11.21::p12->pter)(acro-p++,SE14/22+,CEP22+,N25+) P Cat eye syndrome
9 ToF, ASD dysmorphic facies arr[GRCh37] 1q21.1q21.2(146618988-149224043)×3 dn P 1q21.1 microduplication syndrome
10 VSD hypocalcemia, dysmorphic facies arr[GRCh37] 22q11.21(18912870-21431174)×1 dn P 22q11.2 microdeletion syndrome
11 ToF EA/TEF CHD7(NM_017780):c.5405-8C>G P CHARGE syndrome
12 pmVSD, multiple ASDs, PFO SGA, palatoschisis, dysmorphic facies, proximal placement of thumb, pes calcaneovalgus arr[GRCh37] 18q21.31q23(55111850-78002264)×1 P 18q deletion syndrome
13 VSD, ASD renal cysts arr[GRCh37] 17p11.2(16842163-20217777)×1 P Smith-Magenis syndrome
14 pmVSD, truncus arteriosus, hypothyroidism arr[GRCh37] 22q11.21(18917796_21431174)×1, P 22q11.2 microdeletion syndrome
15 VSD, ASD dysmorphic facies arr[GRCh37] 22q11.21(18917796_21431174)×1, P 22q11.2 microdeletion syndrome
16 VSD, ASD dysmorphic facies arr[GRCh37] 1q21.1q21.2(146618988_147826074)×1 dn P 1q21.1 microdeletion syndrome
17 mVSD, sASD, hypoplastic aortic arch dysmorphic facies arr[GRCh37] 22q11.21(18917796_21431174)×1, P 22q11.2 microdeletion syndrome
18 ASD, PDA dysmorphic facies arr[GRCh37] 16p13.11(15126709_16292235)×3 P 16p13. 11 microdeletion syndrome
arr[GRCh37] 9q34.13(134077089_134401452)×3 VUS
19 ASD hypotonia, hydronephrosis arr[GRCh37] 16p13.11(15126709_16292235)×3 P 16p13.11 microduplication syndrome
20 stenosis of aortic valve, BAV dysmorphic features arr(X)x1[0.8] P mosaic Turner syndrome
21 valvular pumonary stenosis, SVPS dysmorphic facies, macrosomia, unilateral cryptorchidism, aplasia cutis PTPN11(NM_002834.5):c.923A>G P Noonan syndrome
22 sASD hypotonia, hypoplasia of the corpus callosum, dysmorphic features, palatoschisis, glossoschissis, hypermobility of joints, clinodactyly of 5th fingers OFD1(NM_003611.3):c.1193_1196del LP Orofaciodigital syndrome I
23 AVSD coloboma of iris, facial nerve palsy, mixed hearing loss, hypotonia dysmorphic features, feeding difficulties CHD7(NM_017780.4):c.4353+1G>A P CHARGE syndrome
24 sASD, BAV, PDA dysmorphic facies, palatoschisis, widely spaced nipples, barrel chest, hypermobility of joints, clinodactyly of 5th fingers KMT2D(NM_003482.4):c.4364dup P Kabuki syndrome
25 sASD, cleft mitral valve with mild MVR, PDA dysmorphic facies, chorioretinal coloboma, vocal cord paresis, feeding difficulties, hearing loss CHD7(NM_017780.4):c.3655C>T P CHARGE syndrome
26 ToF brachycephaly, ptosis of right eyelid, coloboma of optic nerve papilla, gnatoschisis, choanal atresia, feeding difficulties, unilateral renal agenesis, dysmorphic features, hockey-stick palmar crease, partial 2-3 toe syndactyly, hypotonia, hearing loss CHD7(NM_017780.3):c.4203_4204delTA P CHARGE syndrome
27 sASD, aortic valve stenosis, BAV AMC, dynamic upper airway obstruction, ptosis of right eyelid, cryptorchidism, bilateral congenital hip dislocation, clubfoot, fibromatosis colli CHRNG(NM_005199.5):c.753_754del P Multiple pterygium syndrome – Escobar type
CHRNG(NM_005199.5):c.250G>A LP
28 sASD, PPS, PDA dysmorphic facies, direct hyperbilirubinemia JAG1(NM_000214.3):c.2122_2125del P Alagille syndrome
29 pulmonary valve stenosis, PDA, PFO dysmorphic facies, LGA, renal cyst PTPN11(NM_002834.5):c.922A>G P Noonan syndrome
30 pulmonary valve stenosis, BAV, bicuspid pulmonary valve, PFO dysmorphic facies, bilateral coloboma of iris, macula and papilla, horseshoe kidney, ankyloglossia CHD7(NM_017780.4):c.6292C>T P CHARGE syndrome
31 pmVSD hypotonia, abnormal cortical gyration, feeding difficulties, dysmorphic facies, single palmar crease SMARCA4(NM_003072.5):c.4114C>T LP Coffin-Siris syndrome 4
32 left atrial isomerism heterotaxy, polysplenia DNAAF3(NM_001256715.2):c.73_82del LP Ciliary dyskinesia, primary, 2
* ACC – agenesia of the corpus callosum, AMC – arthrogryposis multiplex congenita, AVSD – atrioventricular septal defect, BAV – bicuspid aortic valve, CoA – coarctation of aorta, dn – de novo, DORV – double outlet right ventricle, EA/TEF – esophageal atresia/tracheoesophageal fistula, LP – likely pathogenic variant, mat – maternally inherited, MVR – mitral valve regurgitation, mVSD – muscular VSD, P – pathogenic variant, PAH – pulmonary artery hypertension, PA-VSD – pulmonary atresia with ventricular septal defect, PDA – patent ductus arteriosus, PFO – patent foramen ovale, pmVSD – perimembranous VSD, PPS – peripheral pulmonary stenosis, sASD – ASD secundum, SGA – small for gestational age, SVAS – supravalvular aortic stenosis, ToF – tetralogy of Fallot, VSD – ventricular septal defect, VUS – variant of uncertain significance, SVPS – supravalvular pulmonary stenosis.
Table 3. Neonates with congenital heart disease and detected variant of uncertain significance (VUS).
Table 3. Neonates with congenital heart disease and detected variant of uncertain significance (VUS).
N Congenital heart disease Extracardiac defects Results of genetic diagnostics Genetic classification
1 ASD, PDA Partial ACC, feeding difficulties, dysmorphic features, occipital subcutaneous vascular malformation arr[GRCh37] 15q25.2q25.3(85,149,690-85,666,309)x1 VUS
2 CoA, hypoplastic distal aortic arch, BAV, pmVSD, ASD, PDA hypotonia, hypocalcemia, dysmorphic facies 9p21.2(25713810-26334159)×1 VUS
3 ASD, pmVSD arr[GRCh37] 2q32.3(196614799_196837193)×1dn VUS
arr[GRCh37] 8p23.2(2470592_4801373)×3 mat VUS
4* ASD, VSD hypotonia, HCC, moderate ventriculomegaly, dysmorphic facies, hypoplasia of distal phalanx of fifth finger arr[GRCh37] Xp22.2(14325345_14757768)×2 mat VUS
5 CoA, HLHS arr[GRCh37] 2q24.2q24.3(163517375_164167131)×3 pat VUS
6 CoA, HLHS hypotonia arr[GRCh37] 16q24.1(85002353_85508509)×1 dn VUS
7 ToF coloboma of iris, dysmorphic features NOTCH1(NM_017617.5):c.3190G>A VUS
8 ASD EA/TEF, annular pancreas, horseshoe kidney, extrarenal pelvis, spina bifida occulta, billiary ducts anomaly ZNF462(NM_021224.6):c.6334C>T VUS
9 CoA polydactyly, hypospadias, SGA TLL1(NM_012464.5):c.283G>A (pat) VUS
ACC – agenesia of the corpus callosum, AMC – arthrogryposis multiplex congenita, ASD – atrial septal defect, AVSD – atrioventricular septal defect, BAV – bicuspid aortic valve, CoA – coarctation of aorta, DORV – double outlet right ventricle, EA/TEF – esophageal atresia/tracheoesophageal fistula, HCC - hypoplasia of the corpus callosum, HLHS – hypoplastic left heart syndrome, mVSD – muscular VSD, PDA – patent ductus arteriosus, PFO – patent foramen ovale, pmVSD – perimembranous VSD, SGA – small for gestational age, ToF – tetralogy of Fallot, VSD – ventricular septal defect, *WES trio noninformative.
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