Array CGH as a first-tier test for neonates with congenital heart disease

From genes to therapy: A comprehensive exploration of congenital heart disease through the lens of genetics and emerging technologies

Congenital heart disease (CHD) affects approximately 1 % of live births worldwide, making it the most common congenital anomaly in newborns. Recent advancements in genetics and genomics have significantly deepened our understanding of the genetics of CHDs. While the majority of CHD etiology remains unclear, evidence consistently indicates that genetics play a significant role in its development. CHD etiology holds promise for enhancing diagnosis and developing novel therapies to improve patient outcomes. In this review, we explore the contributions of both monogenic and polygenic factors of CHDs and highlight the transformative impact of emerging technologies on these fields. We also summarized the state-of-the-art techniques, including targeted next-generation sequencing (NGS), whole genome and whole exome sequencing (WGS, WES), single-cell RNA sequencing (scRNA-seq), human induced pluripotent stem cells (hiPSCs) and others, that have revolutionized our understanding of cardiovascular disease genetics both from diagnosis perspective and from disease mechanism perspective in children and young adults. These molecular diagnostic techniques have identified new genes and chromosomal regions involved in syndromic and non-syndromic CHD, enabling a more defined explanation of the underlying pathogenetic mechanisms. As our knowledge and technologies continue to evolve, they promise to enhance clinical outcomes and reduce the CHD burden worldwide.

Outcomes and Associated Extracardiac Malformations in Neonates from Colombia with Severe Congenital Heart Disease

Congenital heart disease (CHD) is a common structural anomaly, affecting ~ 1% of live births worldwide. Advancements in medical and surgical management have significantly improved survival for children with CHD, however, extracardiac malformations (ECM) continue to be a significant cause of morbidity and mortality. Despite clinical significance, there is limited literature available on ECM in neonates with CHD, especially from Latin America. A cross-sectional study of neonates with severe CHD evaluated by the medical-surgical board team at Fundación Cardiovascular de Colombia from 2014 to 2019 was completed to characterize morbidity, mortality, surgical outcomes, and ECM. Demographics and surgical outcomes were compared between neonates with and without ECM. Medical record data were abstracted and descriptive statistical analysis was performed. Of 378 neonates with CHD, 262 had isolated CHD (69.3%) and 116 had ECM (30.7%). The most common ECM was gastrointestinal (n = 18, 15.5%) followed by central nervous system (n = 14, 12%). Most neonates required a biventricular surgical approach (n = 220, 58.2%). Genetic testing was performed more often for neonates with ECM (n = 65, 56%) than neonates with isolated CHD (n = 14, 5.3%). Neonates with ECM had lower birth weight, longer hospital stays, and higher postsurgical complications rates. There was no difference in survival between groups. Overall, Screening for ECM in neonates with CHD is important and identification of ECM can guide clinical decision-making. These findings have important implications for pediatric healthcare providers, especially in low- and middle-income countries, where the burden of CHD is high and resources for managing CHD and extracardiac malformations may be limited.

Uncovering the Genetic Basis of Congenital Heart Disease: Recent Advancements and Implications for Clinical Management

Congenital heart disease (CHD) is the most prevalent hereditary disorder, affecting approximately 1% of all live births. A reduction in morbidity and mortality has been achieved with advancements in surgical intervention, yet challenges in managing complications, extracardiac abnormalities, and comorbidities still exist. To address these, a more comprehensive understanding of the genetic basis underlying CHD is required to establish how certain variants are associated with the clinical outcomes. This will enable clinicians to provide personalized treatments by predicting the risk and prognosis, which might improve the therapeutic results and the patient's quality of life. We review how advancements in genome sequencing are changing our understanding of the genetic basis of CHD, discuss experimental approaches to determine the significance of novel variants, and identify barriers to use this knowledge in the clinics. Next-generation sequencing technologies are unravelling the role of oligogenic inheritance, epigenetic modification, genetic mosaicism, and noncoding variants in controlling the expression of candidate CHD-associated genes. However, clinical risk prediction based on these factors remains challenging. Therefore, studies involving human-induced pluripotent stem cells and single-cell sequencing help create preclinical frameworks for determining the significance of novel genetic variants. Clinicians should be aware of the benefits and implications of the responsible use of genomics. To facilitate and accelerate the clinical integration of these novel technologies, clinicians should actively engage in the latest scientific and technical developments to provide better, more personalized management plans for patients.

Array comparative genomic hybridisation results of non-syndromic children with the conotruncal heart anomaly

The study aimed to show the chromosomal copy number variations responsible for the aetiology in patients with isolated conotruncal heart anomaly by array comparative genomic hybridisation and identify candidate genes causing conotruncal heart disease. A total of 37 patients, 17 male, and 20 female, with isolated conotruncal heart anomalies, were included in the study. No findings indicated any syndrome in terms of dysmorphology in the patients.

RESULTS

Copy number variations were detected in the array comparative genomic hybridisation analysis of five (13.5%) of 37 patients included in the study. Three candidate genes (PRDM16, HIST1H1E, GJA5) found in these deletion and duplication regions may be associated with the conotruncal cardiac anomaly.

CONCLUSION

CHDs can be encountered as the first and sometimes the single finding of many genetic disorders in children. It is thought that genetic tests, especially array comparative genomic hybridisation, may be beneficial for children with CHD since the diagnosis of genetic diseases in these patients as early as possible will help to prevent or reduce complications that may develop in the future. Also, it would be possible to detect candidate genes responsible for conotruncal cardiac anomalies with array comparative genomic hybridisation.

Genetic evaluation of newborns with critical congenital heart defects admitted to the intensive care unit

Rapid and efficient diagnostics is crucial for newborns with congenital heart defects (CHD) in intensive care unit (ICU) but is often challenging. Given that genetic factors play a role in 20-30% cases of CHD, it is likely that genetic tests could improve both its speed and efficiency. We aimed to analyze the utility of rapid and cost-effective multiplex ligation dependent probe amplification analysis (MLPA) for chromosomal analysis in newborns with critical CHD. One hundred consecutive newborns admitted with critical CHD to the ICU were included in the study. Those with normal MLPA findings were further tested by chromosomal microarray and clinical exome sequencing. Overall, pathogenic/likely pathogenic variants were determined in ten (10%) newborns by MLPA, three (3%) by chromosomal microarray, and three (3%) by clinical exome sequencing. The most common variant detected was deletion of 22q11.2 region.Conclusion: MLPA is fast and cost-effective analysis that could be used as the first-tier test in newborns with critical CHD admitted to the ICU. What is Known: • MLPA is an established method for chromosome analysis in patients with CHD, but detection rate in newborns with critical CHD is unknown. What is New: • Study suggests that detection rate of casual variants using MLPA in newborns with critical CHD is 10%.

Chromosomal microarray detects genetic risks of neurodevelopmental disorders in newborns with congenital heart disease

OBJECTIVE

To compare the genetic testing results of neonates with CHD by chromosomal microarray to karyotyping and fluorescence in situ hybridisation analysis.

METHODS

This was a single-centre retrospective comparative study of patients with CHD and available genetic testing results admitted to the cardiac ICU between January, 2004 and December, 2017. Patients from 2004 to 2010 were tested by karyotyping and fluorescence in situ hybridisation analysis, while patients from 2012 to 2017 were analysed by chromosomal microarray.

RESULTS

Eight-hundred and forty-nine neonates with CHD underwent genetic testing, 482 by karyotyping and fluorescence in situ hybridization, and 367 by chromosomal microarray. In the karyotyping and fluorescence in situ hybridisation analysis group, 86/482 (17.8%) had genetic abnormalities detected, while in the chromosomal microarray group, 135/367 (36.8%) had genetic abnormalities detected (p < 0.00001). Of patients with abnormal chromosomal microarray results, 41/135 (30.4%) had genetic abnormality associated with neurodevelopmental disorders that were exclusively identified by chromosomal microarray. Conotruncal abnormalities were the most common diagnosis in both groups, with karyotyping and fluorescence in situ hybridisation analysis detecting genetic abnormalities in 26/160 (16.3%) patients and chromosomal microarray detecting abnormalities in 41/135 (30.4%) patients (p = 0.004). In patients with d-transposition of the great arteries, 0/68 (0%) were found to have genetic abnormalities by karyotyping and fluorescence in situ hybridisation compared to 7/54 (13.0%) by chromosomal microarray.

CONCLUSIONS

Chromosomal microarray identified patients with CHD at genetic risk of neurodevelopmental disorders, allowing earlier intervention with multidisciplinary care and more accurate pre-surgical prognostic counselling.

A new era of genetic testing in congenital heart disease: A review

Genetic and genomic testing in pediatric CHD is becoming increasingly routine, and can have important psychosocial, clinical and reproductive implications. In this paper we highlight important challenges and considerations when providing genetics consults and testing in pediatric CHD and illustrate the role of a dedicated CHD genetics clinic. Key lessons include that a) a genetic diagnosis can have clinical utility that justifies testing early in life, b) adequate genetic counselling is crucial to ensure families are supported, understand the range of possible results, and are prepared for new or unexpected health information, and c) further integration of the clinical genetics and cardiology workflows will be required to effectively manage the burgeoning information arising from genetic testing. Our experience demonstrates that a dedicated CHD genetics clinic is a valuable addition to a multidisciplinary team providing care to children with CHD.

Causes of Congenital Malformations

BACKGROUND

Many different causes of malformations have been established. The surveillance of a consecutive population of births, including stillbirths and elective terminations of pregnancy because of fetal anomalies, can identify each infant with malformations and determine the frequency of the apparent etiologies. This report is a sequel to the first such analysis in the first 10 years of this Active Malformations Surveillance Program (Nelson and Holmes, ).

METHODS

The presence of malformations was determined among 289,365 births over 41 years (1972-2012) at the Brigham and Women's Hospital in Boston. The abnormalities were identified from the review of the examination findings of the pediatricians and consultants and diagnostic testing for the live-born infants and the autopsies of the fetuses in elective terminations and stillbirths.

RESULTS

A total of 7020 (2.4%) infants and fetuses with one or more malformations were identified with these apparent etiologies in 26.6%: Mendelian disorders, including infants with postaxial polydactyly, type B; chromosome abnormalities; vascular disruption; complications of monozygous twinning; and environmental factors. The malformations of unknown etiology were a much larger group.

CONCLUSION

While several causes of malformations have been identified, many remain unexplained. Combining the ascertainment in a future surveillance programs with genome sequencing and chromosome microarray analysis will increase significantly the number of malformations attributed to genetic mechanisms. Birth Defects Research 110:87-91, 2018.© 2018 Wiley Periodicals, Inc.

Identification of novel genomic imbalances in Saudi patients with congenital heart disease

Background

Quick genetic diagnosis of a patient with congenital heart disease (CHD) is quite important for proper health care and management. Copy number variations (CNV), chromosomal imbalances and rearrangements have been frequently associated with CHD. Previously, due to limitations of microscope based standard karyotyping techniques copious CNVs and submicroscopic imbalances could not be detected in numerous CHD patients. The aim of our study is to identify cytogenetic abnormalities among the selected CHD cases (n = 17) of the cohort using high density oligo arrays.

Results

Our screening study indicated that six patients (~35%) have various cytogenetic abnormalities. Among the patients, only patient 2 had a duplication whereas the rest carried various deletions. The patients 1, 4 and 6 have only single large deletions throughout their genome; a 3.2 Mb deletion on chromosome 7, a 3.35 Mb deletion on chromosome 3, and a 2.78 Mb a deletion on chromosome 2, respectively. Patients 3 and 5 have two deletions on different chromosomes. Patient 3 has deletions on chromosome 2 (2q24.1; 249 kb) and 16 (16q22.2; 1.8 Mb). Patient 4 has a 3.35 Mb an interstitial deletion on chromosome 3 (3q13.2q13.31).Based on our search on the latest available literature, our study is the first inclusive array CGH evaluation on Saudi cohort of CHD patients.

Conclusions

This study emphasizes the importance of the arrays in genetic diagnosis of CHD. Based on our results the high resolution arrays should be utilized as first-tier diagnostic tool in clinical care as suggested before by others. Moreover, previously evaluated negative CHD cases (based on standard karyotyping methods) should be re-examined by microarray based cytogenetic methods.

Assessment of large copy number variants in patients with apparently isolated congenital left-sided cardiac lesions reveals clinically relevant genomic events

Congenital left-sided cardiac lesions (LSLs) are a significant contributor to the mortality and morbidity of congenital heart disease (CHD). Structural copy number variants (CNVs) have been implicated in LSL without extra-cardiac features; however, non-penetrance and variable expressivity have created uncertainty over the use of CNV analyses in such patients. High-density SNP microarray genotyping data were used to infer large, likely-pathogenic, autosomal CNVs in a cohort of 1,139 probands with LSL and their families. CNVs were molecularly confirmed and the medical records of individual carriers reviewed. The gene content of novel CNVs was then compared with public CNV data from CHD patients. Large CNVs (>1 MB) were observed in 33 probands (∼3%). Six of these were de novo and 14 were not observed in the only available parent sample. Associated cardiac phenotypes spanned a broad spectrum without clear predilection. Candidate CNVs were largely non-recurrent, associated with heterozygous loss of copy number, and overlapped known CHD genomic regions. Novel CNV regions were enriched for cardiac development genes, including seven that have not been previously associated with human CHD. CNV analysis can be a clinically useful and molecularly informative tool in LSLs without obvious extra-cardiac defects, and may identify a clinically relevant genomic disorder in a small but important proportion of these individuals.

Chromosome microarray analysis in the investigation of children with congenital heart disease

BACKGROUND

Our study was aimed to explore the clinical implication of chromosome microarray analysis (CMA) in genetically etiological diagnosis of children with congenital heart disease (CHD).

METHODS

A total of 104 children with CHD with or without multiple congenital anomalies (MCA) or intellectual disabilities/developmental delay (ID/DD) but normal karyotype were investigated using Affymetrix CytoScan HD array.

RESULT

Pathogenic copy number variations (PCNVs) were identified in 29 children (27.9%). The detection rates in children with simple CHD and complex CHD were 31.1% (19/61) and 23.2% (10/43), respectively. The detection rates of PCNVs were 17.9% (7/39), 20% (5/25), 63.2% (12/19) and 23.8% (5/21) in isolated CHD, CHD plus MCA, CHD plus ID/DD, CHD plus MCA and ID/DD, respectively. The PCNVs rate of CHD plus ID/DD was significantly higher than that of isolated CHD. Two genomic loci including 15q11.2 deletion and 1q43-q44 deletion were considered as CHD locus. The DVL1, SKI, STIM1, CTNNA3 and PLN were identified as candidate genes associated with CHD phenotypes.

CONCLUSION

CMA can increase the diagnostic rate and improve the etiological diagnosis in children with CHD. We suggest CMA as a first-tier test in children with CHD, especially in children with CHD plus ID/DD.

Genetic Testing Protocol Reduces Costs and Increases Rate of Genetic Diagnosis in Infants with Congenital Heart Disease

Genetic testing is routinely performed on infants with critical congenital heart disease (CHD). This project reviewed the effect of implementing a genetic testing protocol in this population. Charts of infants with critical CHD were reviewed for genetic testing and results across two time periods: the time before implementation of a genetic testing protocol (pre-protocol) and the time after implementation (post-protocol). The use of karyotype, 22q11.2 Deletion testing, and chromosomal microarray were compared across these two time periods. Records of 891 infants were reviewed. 562 (63%) had at least one of the target genetic tests completed. During the pre-protocol time period, 66% of patients who had genetic testing underwent multiple tests versus 24% during the post-protocol time period (p < 0.01). The rate of patients who underwent genetic testing increased from 60% in the pre-protocol time period to 77% in the post-protocol time period (p < 0.01). The rate of diagnosis of genetic conditions during the pre-protocol period was 26% versus 36% during the post-protocol period (p = 0.01). There was a reduction in cost to patients by $5105.59 per diagnosis during the post-protocol period. Patients with critical CHD in the post-protocol period were less likely to undergo multiple genetic tests and more likely to have a diagnosis of genetic disease. In addition there was a significant reduction in cost per diagnosis during the post-protocol time period. Genetic testing protocols for infants with critical CHD promoted more efficient use of genetic testing and increased the rate of diagnosis of genetic conditions in this population.

Genome-wide rare copy number variations contribute to genetic risk for transposition of the great arteries

BACKGROUND

Transposition of the great arteries (TGA) is an uncommon but severe congenital heart malformation of unknown etiology. Rare copy number variations (CNVs) have been implicated in other, more common conotruncal heart defects like tetralogy of Fallot (TOF), but there are as yet no CNV studies dedicated to TGA.

METHODS

Using high-resolution genome-wide microarrays and rigorous methods, we investigated CNVs in a group of prospectively recruited adults with TGA (n=101) from a single center. We compared rare CNV burden to well-matched cohorts of controls and TOF cases, adjudicating rarity using 10,113 independent population-based controls and excluding all subjects with 22q11.2 deletions. We identified candidate genes for TGA based on rare CNVs that overlapped the same gene in unrelated individuals, and pre-existing evidence suggesting a role in cardiac development.

RESULTS

The TGA group was significantly enriched for large rare CNVs (2.3-fold increase, p=0.04) relative to controls, to a degree comparable with the TOF group. Extra-cardiac features were not reliable predictors of rare CNV burden. Smaller rare CNVs helped to narrow critical regions for conotruncal defects at chromosomes 10q26 and 13q13. Established and novel candidate susceptibility genes identified included ACKR3, IFT57, ITGB8, KL, NF1, NKX1-2, RERE, SLC8A1, SOX18, and ULK1.

CONCLUSIONS

These data demonstrate a genome-wide role for rare CNVs in genetic risk for TGA. The findings provide further support for a genetically-related spectrum of congenital heart disease that includes TGA and TOF.

Genetic knowledge and attitudes of parents of children with congenital heart defects

Clinical genetic testing for specific isolated congenital heart defects (CHD) is becoming standard of care in pediatric cardiology practice. Both genetic knowledge and attitudes toward genetic testing are associated with an increased utilization of genetic testing, but these factors have not been evaluated in parents of children with CHD. We mailed a survey to measure the demographics, genetic knowledge, and attitudes towards genetic testing of parents of children with CHD who previously consented to participate in a separate research study of the genetic etiology of left ventricular outflow tract malformations (LVOT). Of the 378 eligible families, 190 (50%) returned surveys with both parents completing surveys in 97 (51%) families, resulting in 287 participants. Genetic knowledge was assessed on an adapted measure on which the mean percent correct was 73.8%. Educational attainment and household income were directly and significantly associated with genetic knowledge (P < 0.001). Attitudes about the health effects of genetic testing were favorable with at least 57% agreeing that genetic testing would be used for managing health care and finding cures for disease. Conversely, a minority of participants found it likely that genetic testing would be used for insurance (up to 39.9%), employment (15.8%), or racial/social discrimination (up to 11.2%). Parents of younger children were less likely to endorse employment or racial/social discrimination. Genetic knowledge was not correlated with specific attitudes. Among parents of children with CHD, genetic knowledge was directly associated with household income and education, but additional research is necessary to determine what factors influence attitudes towards genetic testing.