Prenatal diagnosis of congenital heart defect by genome-wide high-resolution SNP array

Single Nucleotide Polymorphism array analysis for fetuses from balanced translocation carriers at the second trimester

Prenatal diagnosis is crucial for pregnancies from couples with a carrier of a balanced translocation. We retrospectively reviewed 195 pregnancies from 189 couples with a balanced translocation carrier. Of these, 126 were from natural conception, while 69 were conceived through assisted reproductive technology (ART) with preimplantation genetic diagnosis (PGD). Both single nucleotide polymorphism (SNP) array analysis and conventional karyotyping were conducted on all pregnancies, and karyotype-visible imbalances and pathogenic/likely pathogenic copy number variations (CNVs) were categorized as clinically significant abnormalities. In natural conception group, couples with a female carrier experiencing more than two miscarriages accounted for 30.2 %, significantly higher than the 14.0 % in male carrier couples (p < 0.05). In the PGD group, similar difference was observed between female and male carrier couples (p < 0.05). In the natural pregnancies, SNP array analysis yielded additional 12 cases of CNVs, including two cases of pathogenic (P)/likely pathogenic (LP) aberrations, four variants with uncertain significance (VUS), and six likely benign variants. Only two CNVs were found to be associated with translocation breakpoints, which were finally confirmed to be of parental inheritance. In the PGD pregnancies, two cases of VUS unrelated to the translocation breakpoints were revealed. Taken together, repeated miscarriage was more frequently observed in couples where the carrier was female than male. Conventional SNP array analysis in prenatal diagnosis indicated insufficient evidence to support the notion that balanced translocations increase the likelihood of fetuses having clinically significant CNVs.

Diagnostic Value of Chromosomal Microarray Analysis for Fetal Congenital Heart Defects with Different Cardiac Phenotypes and Extracardiac Abnormalities

(1) Background: The objective of this study was to investigate the diagnostic value of chromosomal microarray analysis (CMA) for congenital heart defects (CHDs) with different cardiac phenotypes and extracardiac abnormalities (ECAs) and to explore the pathogenic genetic factors of CHDs. (2) Methods: We collected fetuses diagnosed with CHDs by echocardiography at our hospital from January 2012 to December 2021. We analyzed the CMA results of 427 fetuses with CHDs. We then categorized the CHD into different groups according to two dimensions: different cardiac phenotypes and whether it was combined with ECAs. The correlation between the numerical chromosomal abnormalities (NCAs) and copy number variations (CNVs) with CHDs was analyzed. Statistical analyses, including Chi-square tests and t-tests, were performed on the data using IBM SPSS and GraphPad Prism. (3) Results: In general, CHDs with ECAs increased the detection rate for CA, especially the conotruncal defects. CHD combined with the thoracic and abdominal walls and skeletal, thymic and multiple ECAs, were more likely to exhibit CA. Among the CHD phenotypes, VSD and AVSD were associated with NCA, while DORV may be associated with NCA. The cardiac phenotypes associated with pCNVs were IAA (type A and B), RAA, TAPVC, CoA and TOF. In addition, IAA, B, RAA, PS, CoA and TOF were also associated with 22q11.2DS. The length distribution of the CNV was not significantly different between each CHD phenotype. We detected twelve CNV syndromes, of which six syndromes may be related to CHDs. The pregnancy outcome in this study suggests that termination of pregnancy with fetal VSD and vascular abnormality is more dependent on genetic diagnosis, whereas the outcome in other phenotypes of CHDs may be associated with other additional factors. (4) Conclusions: CMA examination for CHDs is still necessary. We should identify the existence of fetal ECAs and specific cardiac phenotypes, which are helpful for genetic counseling and prenatal diagnosis.

Chromosomal Microarray Analysis in Fetuses Detected with Isolated Cardiovascular Malformation: A Multicenter Study, Systematic Review of the Literature and Meta-Analysis

Cardiovascular malformations (CVM) represent the most common structural anomalies, occurring in 0.7% of live births. The CVM prenatal suspicion should prompt an accurate investigation with fetal echocardiography and the assessment through genetic counseling and testing. In particular, chromosomal microarray analysis (CMA) allows the identification of copy number variations. We performed a systematic review and meta-analysis of the literature, studying the incremental diagnostic yield of CMA in fetal isolated CVM, scoring yields for each category of heart disease, with the aim of guiding genetic counseling and prenatal management. At the same time, we report 59 fetuses with isolated CVM with normal karyotype who underwent CMA. The incremental CMA diagnostic yield in fetuses with isolated CVM was 5.79% (CI 5.54–6.04), with conotruncal malformations showing the higher detection rate (15.93%). The yields for ventricular septal defects and aberrant right subclavian artery were the lowest (2.64% and 0.66%). Other CVM ranged from 4.42% to 6.67%. In the retrospective cohort, the diagnostic yield was consistent with literature data, with an overall CMA diagnostic yield of 3.38%. CMA in the prenatal setting was confirmed as a valuable tool for investigating the causes of fetal cardiovascular malformations.

Prenatal diagnosis for fetuses with isolated and non-isolated congenital heart defects using chromosomal microarray and exome sequencing

OBJECTIVE

To investigate the use of chromosomal microarray (CMA) and Exome sequencing (ES) in fetuses with congenital heart disease (CHD). &#13; METHODS: The Fetal Medicine Unit of Shanghai First Maternity and Infant Hospital records were reviewed to ascertain all cases diagnosed with CHD by level 2 ultrasound examination between 2016 and 2019. Cases were categorized as isolated or associated with other abnormalities or fetal growth restriction. CMA was offered to all cases as a first-line genetic test followed by ES when CMA was non-diagnostic.&#13; RESULTS: Of the 586 ascertained, 84 (14.3%) had causative CMA abnormality, of which 8.8% (35/400) were in fetuses with isolated CHD and 26.3% (49/186) in those with other abnormalities. ES was performed in 47 cases with a negative CMA. Causative variants were identified in two (10.5%, 2/19) isolated cases and four(14.3%, 4/28) with other abnormalities.&#13; CONCLUSION: Invasive procedures with CMA should be offered in pregnancies complicated by both non-isolated and isolated cardiac abnormalities. When CMA is not diagnostic, ES can add diagnostic value in both groups and should be considered even for fetuses with an isolated CHD This article is protected by copyright. All rights reserved.

Molecular Approaches in Fetal Malformations, Dynamic Anomalies and Soft Markers: Diagnostic Rates and Challenges-Systematic Review of the Literature and Meta-Analysis

Fetal malformations occur in 2-3% of pregnancies. They require invasive procedures for cytogenetics and molecular testing. "Structural anomalies" include non-transient anatomic alterations. "Soft markers" are often transient minor ultrasound findings. Anomalies not fitting these definitions are categorized as "dynamic". This meta-analysis aims to evaluate the diagnostic yield and the rates of variants of uncertain significance (VUSs) in fetuses undergoing molecular testing (chromosomal microarray (CMA), exome sequencing (ES), genome sequencing (WGS)) due to ultrasound findings. The CMA diagnostic yield was 2.15% in single soft markers (vs. 0.79% baseline risk), 3.44% in multiple soft markers, 3.66% in single structural anomalies and 8.57% in multiple structural anomalies. Rates for specific subcategories vary significantly. ES showed a diagnostic rate of 19.47%, reaching 27.47% in multiple structural anomalies. WGS data did not allow meta-analysis. In fetal structural anomalies, CMA is a first-tier test, but should be integrated with karyotype and parental segregations. In this class of fetuses, ES presents a very high incremental yield, with a significant VUSs burden, so we encourage its use in selected cases. Soft markers present heterogeneous CMA results from each other, some of them with risks comparable to structural anomalies, and would benefit from molecular analysis. The diagnostic rate of multiple soft markers poses a solid indication to CMA.

The current state of prenatal detection of genetic conditions in congenital heart defects

The incidence of congenital heart defect (CHD) has increased over the past fifty years, partly attributed to routine fetal anatomical examination by sonography during obstetric care and improvements in ultrasound technology and technique. Fetal findings on ultrasound in addition to maternal biomarkers are the backbone of first- and second-trimester screening for common genetic conditions, namely aneuploidy. Since the introduction of non-invasive prenatal testing (NIPT) using next-generation sequencing to sequence cell-free fetal DNA, the detection rate of common trisomies as well as sex chromosomal aneuploidies have markedly increased. As the use of NIPT continues to broaden, the best means of incorporating NIPT into prenatal care is less clear and complicated by misunderstanding of the limitations and non-diagnostic role of NIPT by clinicians and families. In other advancements in prenatal genetic testing, recommendations on the role of chromosomal microarray (CMA) for prenatal diagnosis has led to its increasing use to identify genetic conditions in fetuses diagnosed with CHD. Lastly, as whole exome sequencing (WES) becomes more available and affordable, the next clinical application of next-generation sequencing in prenatal diagnostic testing is on the horizon. While newer genetic tests may provide answers in terms of genetic diagnosis, even more questions will likely ensue for clinicians, researchers, and parents. The objective of this review is to provide the perspective of the evolution of maternal and fetal obstetric care against the backdrop of advancing genetic technology and its impact on families and clinicians.

Analysis of copy number variation by sequencing in fetuses with nuchal translucency thickening

Objective

Copy number variation sequencing (CNV‐seq) technique was used to analyze the genetic etiology of fetuses with increased nuchal translucency (NT).

Methods

A total of 139 women with gestational 11‐14 weeks whose fetuses were detected with increased NT (NT ≥ 2.5 mm) in our hospital from July 2016 to December 2018 were selected. Fetal specimens were performed for karyotyping analysis and CNV sequencing.

Results

According to the nuchal translucency thickness, 2.5‐3.4, 3.5‐4.4, 4.5‐5.4, and more than 5.5 mm, the rates of chromosomal abnormalities were 22.8% (13/57), 30.8% (12/39), 42.1% (8/19), and 62.5% (15/24), respectively. There was significant difference among the incidences of chromosomal abnormalities in four groups (χ² = 37.69, P < .01) and the incidences increased with fetal NT thickness. Among 139 cases, there were 36 cases (25.9%) with abnormal chromosome karyotypes. Meanwhile, there were 45 cases (32.3%) with abnormal CNV. In the 12 cases with abnormal CNV and normal chromosome karyotypes, there were 2 cases of pathogenic CNV, 7 cases of CNV with unknown clinical significance, and 3 cases of possibly benign CNV. There was no significant difference in CNV between pregnant women in advanced maternal age and those in normal maternal age (χ² = 1.389, P = .239). In the fetus who showed abnormalities in NT and ultrasonography (χ² = 5.13, P < .05) and the fetus aborted (χ² = 113.19, P < .05), the abnormal rate of CNV was higher with statistically significant difference.

Conclusion

CNV‐seq combined karyotype analysis should be performed simultaneously in fetuses with increased NT, providing a basis for genetic counseling, which is of great significance for prenatal diagnosis.

Fetal cardiac abnormalities: Genetic etiologies to be considered

Congenital heart diseases are a common prenatal finding. The prenatal identification of an associated genetic syndrome or a major extracardiac anomaly helps to understand the etiopathogenic diagnosis. Besides, it also assesses the prognosis, management, and familial recurrence risk while strongly influences parental decision to choose termination of pregnancy or postnatal care. This review article describes the most common genetic diagnoses associated with a prenatal finding of a congenital heart disease and a suggested diagnostic process.

Genetic anomalies in fetuses with tetralogy of Fallot by using high-definition chromosomal microarray analysis

Background

The etiology of TOF is complex and the genesis of TOF has been associated with environmental factors and genetic disorders, including chromosomal anomalies, aneuploidies, 22q11.2 deletion and single-gene disease. Previous literatures have shown that a chromosome alteration in about 30% patients with TOF and recently published articles reported that 22q11.2 deletion syndrome accounts for 16% cases with TOF diagnosed postnatally. CMA now is considered as gold standard for detecting genetic anomalies in fetuses with congenital malformations. CMA could detect a 6.6–25% incremental yield of CNVs in CHDs. The aim of this study was to assess the genetic anomalies in fetal tetralogy of Fallot (TOF) by using high-definition CMA.

Methods

This retrospective study reviewed all the fetuses diagnosed with TOF between 2013 and 2018. Prenatal ultrasongraphic findings, including cardiac angle, and the findings of CMA using Affymetrix CytoScan HD array were collected.

Results

Ninety-six fetuses with TOF and known genetic results were enrolled. Right aortic arch was the most common associated anomalies (22.9%). One fetus with trisomy 18, one with 46, XX, t (7;10)(q36;q22), one with 47, XYY and five with trisomy 21 were identified. Clinically significant CNVs occurred in 6.8% and uncertain significant CNVs in 3.4% fetal TOF with normal karyotype. A total of four cases with 22q11.2 microdeletion and two fetuses with Yq11.223q11.23 microduplication have been identified. Genetic anomalies, including chromosomal aberrations and pathogenic CNVs, were significantly higher in the TOF with extracardiac anomaly group than in the TOF without extracardiac anomaly group (P = 0.005). Abnormal cardiac angle was noticed in 24.0% fetal TOF. Genetic anomalies were more common in the TOF with abnormal cardiac angle than with normal cardiac angle (P = 0.001). On the other hand, abnormal cardiac angle was noticed in 64.3% fetal TOF with genetic anomalies while abnormal cardiac angle occurred in 17.1% fetal TOF with normal genetic results (P = 0.001).

Conclusions

Genetic testing should be offered, specially using microarray analysis, for the fetal TOF with abnormal cardiac angle or extracardiac defects.

Fetal congenital heart disease: Associated anomalies, identification of genetic anomalies by single-nucleotide polymorphism array analysis, and postnatal outcome

BACKGROUND

Congenital heart disease (CHD) is one of the most common birth defects; however, the mechanisms underlying its development are poorly understood. Recently, heritable genetic factors, including copy number variations (CNVs) and single nucleotide polymorphisms (SNPs), have been implicated in its etiology. The aim of this study was to investigate the utility of a SNP array for the prenatal diagnosis of CHD and the improvement of prenatal genetic counseling and to compare this approach to traditional chromosome analysis.

METHODS

One hundred and fortysix cases of CHD detected by prenatal echocardiography were analyzed. Of these, 110 were isolated CHD and 36 were of CHD with extracardiac defects. SNP analysis was performed using the Affymetrix CytoScan HD platform, which was followed by karyotype analysis. All annotated CNVs were validated by fluorescence in situ hybridization.

RESULTS

Karyotype analysis identified chromosomal abnormalities in 19 of 146 cases. In addition to the 15 chromosomal abnormalities that were consistent with the results of karyotype analysis, the SNP array identified abnormal CNVs in an additional 15.2% (22/145) cases; of these, 15 were pathogenic CNVs, three were variations of uncertain clinical significance, and four were benign CNVs. The rates at which the SNP array detected pathogenic CNVs differed significantly between cases of isolated CHD and CHD with extracardiac defects (13.6% vs. 72.2%, P = .001). The results of the SNP array also affected the rate of pregnancy termination.

CONCLUSION

Combining SNP array with cytogenetic analyses is particularly effective for identifying chromosomal abnormalities in CNVs in fetuses with CHD, which also affects obstetrical outcomes.

Chromosomal abnormalities and copy number variations in fetal ventricular septal defects

Background

This study aimed to evaluate the applicability of chromosomal microarray analysis (CMA), rather than traditional chromosome analysis, in prenatal diagnosis of ventricular septal defects (VSDs) for superior prenatal genetic counseling and to reveal a potential correlation between submicroscopic chromosomal aberrations and VSDs.

Results

Among the 151 VSD cases, 79 (52.3%) had isolated defects and 72 (47.7%) had additional ultrasound anomalies. Karyotype analysis identified 16 chromosomal abnormalities. Besides the 14 cases of chromosome abnormalities consistent with karyotype analysis, CMA identified an additional 20 cases (13.2%) of abnormal copy number variations (CNVs), of which 13 were pathogenetic CNVs, 5 were variations of uncertain clinical significance (VOUS) and 2 were benign CNVs. The detection rate of pathogenic CNVs in non-isolated-VSDs was significantly higher than that in isolated-VSDs (36.1% (26/72) vs. 1.3% (1/79), p = 0.001). We also found that CMA results indicating pathogenic abnormalities affected the rate of pregnancy termination.

Conclusions

This study showed that CMA combined with cytogenetic analysis is particularly effective in identifying CNVs in fetuses with VSDs and can have an effect on obstetrical outcomes. The elucidation of the etiology of VSDs suggested that gene mutations or other factors may be implicated.

Clinical value of chromosomal microarray analysis in prenatally diagnosed dextro-transposition of the great arteries

Objectives: To evaluate the usefulness of chromosomal microarray analysis (CMA) in fetuses with dextro-transposition of the great arteries (d-TGA).Methods: Thirty-two fetuses with d-TGA were examined for submicroscopic copy number variations (CNVs) using CMA.Results: Among the 32 d-TGA fetuses, 23 had isolated lesions (71.9%) and nine had other cardiac or extracardiac anomalies (28.1%). CNVs were detected in 16/32 (50%) of the fetuses, including benign CNVs detected in nine fetuses (28.1%), pathogenic CNVs detected in three fetuses (9.4%), and variants of unknown significance (VOUS) detected in four fetuses (12.5%). There was no significant difference in the detection rates of pathogenic CNVs between the isolated and nonisolated groups. All four VOUS were found in the nonisolated group.Conclusion: CMA might be an effective tool for identifying submicroscopic chromosomal aberrations in fetuses with d-TGA.

Prenatal diagnosis of chromosomal aberrations in fetuses with conotruncal heart defects by genome-wide high-resolution SNP array

Objectives: To explore chromosomal variations, including copy number variations (CNVs), in fetuses with conotruncal heart defect (CTD).Methods: During a 5-year period, a total of 129 fetuses with ascertained CTDs were investigated for chromosomal abnormalities using quantitative fluorescence PCR (QF-PCR) and chromosomal microarray analysis (CMA). Fetuses were divided into two subgroups: benign group (with normal QF-PCR results and benign CNVs) and nonbenign group [with aneuploidies, nonbenign CNVs [pathogenic CNVs and CNVs of unknown significance (VOUS)]. Data on fetal structural malformations, chromosomal variations, and pregnancy outcomes were collected and compared.Results: Of the 129 cases, 17 were found to have common aneuploidies. In the remaining 112 cases with normal a QF-PCR result, pathogenic CNVs, CNVs of VOUS, and benign CNVs were identified in 5.3, 5.3, and 4.5%, respectively. Compared with benign group, fetuses in nonbenign group had a significantly higher rate of neurologic defects (13.8 versus 3.0%, p < .05), overall extracardiac anomalies (86.2 versus 45.0%, p < .05), and perinatal death (57.1 versus 18.4%, p < .05), whereas, no significant difference in that of associated cardiovascular anomalies was noted (48.2 versus 46.0%, p = .29). Among the extracardiac anomalies, thymus abnormalities were strongly associated with nonbenign CNVs (33.3 versus 1% of fetuses in benign group, p < .05).Conclusions: Pathogenic CNVs, in addition to chromosomal aneuploidies, contributed to the pathogenesis of CTD. The presence of associated extracardiac anomalies including thymus abnormalities correlated with a higher probability of nonbenign chromosomal variations, which was associated with an unfavorable outcome.

Genetic Testing and Pregnancy Outcome Analysis of 362 Fetuses with Congenital Heart Disease Identified by Prenatal Ultrasound

Background

Congenital heart defects (CHD), as the most common congenital anomaly, have been reported to be associated with chromosomal abnormalities. Currently, patients with CHD are routinely offered karyotyping and chromosomal microarray (CMA) testing, but the genotype-phenotype relationship has not yet been fully established.

Objective

To determine the type and frequency of chromosomal abnormalities in fetuses with CHD and to analyze pregnancy outcomes of fetuses with heart abnormalities caused by different genetic factors.

Methods

A total of 362 cases of CHD were enrolled from 2009 to 2016. Detailed ultrasound and laboratory examinations, including karyotyping and CMA, were performed. Outcome was obtained from discharge summaries.

Results

Of the 362 fetuses, 220 were found with an isolated CHD, and 142 had CHD with extracardiac anomaly. Among these 362 fetuses, 140 were identified with a genetic cause, including 111 cases with aneuploidy, 10 cases with abnormality of chromosomal structure by karyotyping and 19 cases with pathogenic or likely pathogenic copy-number variations (CNVs) by CMA. The detection rate is close to 38.7%. Only one (identified as trisomy 18 syndrome) in 140 positive cases resulted in perinatal death, with the others being induced. The remaining 222 cases had negative results for both genetic testing and of these cases, 56 resulted in induced labor, and 77 had natural childbirth or caesarean births. The pregnancy outcome of the remaining 89 cases was uncertain.

Conclusions

Karyotyping and CMA are effective and accurate prenatal genetic techniques for identifying fetal chromosomal abnormalities associated with cardiac defects, and this can assist clinical doctors to perform appropriate genetic counselling with regard to the etiology and outcome of CHD.

Chromosomal microarray analysis in the prenatal diagnosis of orofacial clefts: Experience from a single medical center in mainland China

The aim of this study was to investigate the value of chromosomal microarray analysis (CMA) for the prenatal diagnosis of orofacial clefts.A total of 143 fetuses with oral clefts were detected by ultrasound during prenatal exam between 2012 and 2017 in our center. We categorized the cases into 4 groups: isolated cleft lip (CL) (CL only), isolated cleft palate (CP only), isolated cleft lip and palate (CLP) (CLP only), and syndromic CLP (combined with other malformations). The CMA was performed in all cases, while 139 fetuses were referred for G-banded chromosome analysis.There were 42 male and 10 female fetuses were born, with a sex ratio of 4.2:1. The isolated CLP group accounted for 74.1% (106/143) of cases, while the isolated CL, isolated CP, and syndromic CP groups accounted for 13.9% (20/143), 2% (3/143), and 10% (14/143), respectively. A total of 11 fetuses had pathogenic copy number variants (CNVs, 7.7%), including isolated CP (1/143, 0.7%), isolated CLP (5/143, 3.5%), and syndromic CLP (5/143, 3.5%). Compared with the CMA results, 5 fetuses were found to have an abnormal karyotype (5/139, 3.6%). However, no abnormalities were found in either karyotype analysis or CMA in the isolated CL group.CMA is a valuable tool for identifying submicroscopic chromosomal abnormalities in the prenatal diagnosis of oral clefts. An excellent outcome can be expected for fetuses with isolated CL that are negative for chromosomal abnormalities.

Clinical application of chromosomal microarray analysis for the prenatal diagnosis of chromosomal abnormalities and copy number variations in fetuses with congenital heart disease

OBJECTIVES

This study aimed to determine chromosomal abnormalities and copy number variations (CNVs) in fetuses with congenital heart disease (CHD) by chromosomal microarray analysis (CMA).

METHODS

One hundred and ten cases with CHD detected by prenatal echocardiography were enrolled in the study; 27 cases were simple CHDs, and 83 were complex CHDs. Chromosomal microarray analysis was performed on the Affymetrix CytoScan HD platform. All annotated CNVs were validated by quantitative PCR.

RESULTS

Chromosomal microarray analysis identified 6 cases with chromosomal abnormalities, including 2 cases with trisomy 21, 2 cases with trisomy 18, 1 case with trisomy 13, and 1 unusual case of mosaic trisomy 21. Pathogenic CNVs were detected in 15.5% (17/110) of the fetuses with CHDs, including 13 cases with CHD-associated CNVs. We further identified 10 genes as likely novel CHD candidate genes through gene functional enrichment analysis. We also found that pathogenic CMA results impacted the rate of pregnancy termination.

CONCLUSIONS

This study shows that CMA is particularly effective for identifying chromosomal abnormalities and CNVs in fetuses with CHDs as well as having an effect on obstetrical outcomes. The elucidation of the genetic basis of CHDs will continue to expand our understanding of the etiology of CHDs.

Potential role of "omics" technique in prenatal diagnosis of congenital heart defects

Congenital heart defect (CHD) is one of the most common birth defects and is the leading cause of neonatal death. Currently, there are no biomarkers available for prenatal diagnosis of CHD. Clinical strategies to diagnose CHD mostly depend on fetal echocardiography. Recent advances in "omics" techniques have opened up new possibilities for biomarker discoveries. In this review, we discuss recent advances in prenatal detection of CHD using biomarkers obtained by "omics" approaches, including genomics, proteomics, metabolomics, and others. There is great potential in obtaining various kinds of parameters using "omics" studies to facilitate early and accurate diagnosis of CHD.

Prenatal chromosomal microarray analysis in fetuses with congenital heart disease: a prospective cohort study

BACKGROUND

Currently, chromosomal microarray analysis is considered the first-tier test in pediatric care and prenatal diagnosis. However, the diagnostic yield of chromosomal microarray analysis for prenatal diagnosis of congenital heart disease has not been evaluated based on a large cohort.

OBJECTIVE

Our aim was to evaluate the clinical utility of chromosomal microarray as the first-tier test for chromosomal abnormalities in fetuses with congenital heart disease.

STUDY DESIGN

In this prospective study, 602 prenatal cases of congenital heart disease were investigated using single nucleotide polymorphism array over a 5-year period.

RESULTS

Overall, pathogenic chromosomal abnormalities were identified in 125 (20.8%) of 602 prenatal cases of congenital heart disease, with 52.0% of them being numerical chromosomal abnormalities. The detection rates of likely pathogenic copy number variations and variants of uncertain significance were 1.3% and 6.0%, respectively. The detection rate of pathogenic chromosomal abnormalities in congenital heart disease plus additional structural anomalies (48.9% vs 14.3%, P < .0001) or intrauterine growth retardation group (50.0% vs 14.3%, P = .044) was significantly higher than that in isolated congenital heart disease group. Additionally, the detection rate in congenital heart disease with additional structural anomalies group was significantly higher than that in congenital heart disease with soft markers group (48.9% vs 19.8%, P < .0001). No significant difference was observed in the detection rates between congenital heart disease with additional structural anomalies and congenital heart disease with intrauterine growth retardation groups (48.9% vs 50.0%), congenital heart disease with soft markers and congenital heart disease with intrauterine growth retardation groups (19.8% vs 50.0%), or congenital heart disease with soft markers and isolated congenital heart disease groups (19.8% vs 14.3%). The detection rate in fetuses with congenital heart disease plus mild ventriculomegaly was significantly higher than in those with other types of soft markers (50.0% vs 15.6%, P < .05).

CONCLUSION

Our study suggests chromosomal microarray analysis is a reliable and high-resolution technology and should be used as the first-tier test for prenatal diagnosis of congenital heart disease in clinical practice.

Fetal right aortic arch: associated anomalies, genetic anomalies with chromosomal microarray analysis, and postnatal outcome

OBJECTIVES

The aim of the study was to assess the associated prenatal findings, genetic anomalies with chromosomal microarray analysis (CMA) and postnatal outcome of fetal right aortic arch (RAA).

METHODS

This retrospective study reviewed 92 fetuses diagnosed with RAA and the findings of CMA using Affymetrix CytoScan HD array in our institution between 2013 and 2016.

RESULTS

Postnatal data were not available for six cases, and genetic data were not available for 26 cases. Tetralogy of the Fallot was the most frequently associated anomaly. Among the 60 fetuses with known karyotype, one was 46, X, Yqh+, der(13)t(8;13)(q22.3;q33.2), one was 47, XYY and the remaining were normal. Our study showed that CMA could detect uncertain significant copy number variants in 5.2% of fetal RAA and pathogenic copy number variants in 5.2%, all of which were microdeletion in chromosome 22q11.21. The genetic anomalies, gestational age at delivery and postnatal death were not significantly different between RAA-no intracardiac anomalies and RAA-intracardiac anomalies group. One infant with aberrant left subclavian artery needed to perform a surgery for respiratory symptom.

CONCLUSIONS

A right aortic arch is associated with 22q11.2 deletion syndrome in approximately 5% of cases, and, therefore, prenatal testing, preferably using CMA, should be offered. © 2017 John Wiley & Sons, Ltd.

Microarrays in prenatal diagnosis

In prenatal diagnosis, chromosomal microarray (CMA) has not yet fully replaced conventional karyotyping but has rapidly become the recommended test in pregnancies with ultrasound abnormalities. In this review, we provide an overview of the published data concerning this technology and the controversies concerning its use in the prenatal setting. There is abundant evidence indicating the added detection of pathogenic abnormalities with CMA in comparison to the traditional karyotyping, especially in fetuses with multiple or isolated ultrasound abnormalities such as congenital heart disease, increased nuchal translucency, or oral cleft. On the other hand, there is also a risk to detect variants of unknown significance, late-onset disorders, and variants in susceptibility loci. However, it has been shown that pregnant couples tend to prefer a maximum of information about the health of their unborn child. Taken together, CMA has considerable diagnostic and prognostic values during pregnancy and should therefore be the test of choice.

Clinical aspects of prenatally detected congenital heart malformations and the yield of chromosomal microarray analysis

OBJECTIVE

The yield of chromosomal microarray analysis (CMA) for prenatally detected congenital heart defects (CHD) is 6.6% to 19.2%. We evaluated the yield of CMA in cases of prenatally detected CHD in regard to specific clinical characteristics.

METHODS

Data from 192 cases of CHD including type, clinical and familial background, workup performed during the pregnancy, and pregnancy outcomes were collected.

RESULTS

Fetal echocardiography was performed in all cases; 61.4% of CHD were suspected by ultrasound. There was a positive family history (FH) in 15.7%. Abnormal nuchal translucency or umbilical cord anomalies were detected in 1.7% and 5.9%, respectively, and 55.1% were isolated cases. In 11 of 96 cases in which genetic testing was performed, karyotype and CMA were abnormal (11.5%). The detection rate of CMA (performed in 72 cases) was 9.7%. The yield of CMA was similar in simple cases, isolated cases, and cases with a positive FH. CMA was abnormal in 7.3% of ventricular septal defect cases.

CONCLUSION

Most cases of prenatally detected CHD had no additional extra-cardiac, sonographic findings suggesting increased risk for CHD. The yield of CMA testing was significant in all clinical scenarios including simple heart malformations, isolated cases, and cases with a positive FH. © 2016 John Wiley & Sons, Ltd.

Prenatal Array Comparative Genomic Hybridization in Fetuses With Structural Cardiac Anomalies

OBJECTIVES

To examine the diagnostic performance of array comparative genomic hybridization (CGH) for fetal cardiac anomalies in two medium-sized Canadian prenatal genetics clinics.

METHODS

We prospectively recruited 22 pregnant women with fetal structural cardiac anomalies, normal rapid aneuploidy detection, and FISH for 22q11.2 testing for array CGH analysis.

RESULTS

One case had an 8p deletion that was also visible on karyotype and included the GATA4 gene, which has been associated with congenital heart disease. Two cases had inherited pathogenic copy number variants (CNVs) of variable expressivity and penetrance: one was a duplication of 16p11.2 and the other a deletion of 15q11.2. One case had the incidental finding of being a carrier of a recessive disease unrelated to the cardiac anomaly.

CONCLUSIONS

Of these prospectively recruited cases of fetal cardiac anomalies, 14% had a pathogenic result on array CGH. Pathogenic CNVs of variable penetrance and expressivity were a significant proportion of the positive results identified. These CNVs are generally associated with neurodevelopmental issues and may or may not have been associated with the fetus' underlying congenital heart disease. Array CGH increases the diagnostic yield in this group of patients; however, certain CNVs remain a challenge for counselling in the prenatal setting.

Identification of copy number variations associated with congenital heart disease by chromosomal microarray analysis and next-generation sequencing

OBJECTIVE

To determine the type and frequency of pathogenic chromosomal abnormalities in fetuses diagnosed with congenital heart disease (CHD) using chromosomal microarray analysis (CMA) and validate next-generation sequencing as an alternative diagnostic method.

METHOD

Chromosomal aneuploidies and submicroscopic copy number variations (CNVs) were identified in amniocytes DNA samples from CHD fetuses using high-resolution CMA and copy number variation sequencing (CNV-Seq).

RESULT

Overall, 21 of 115 CHD fetuses (18.3%) referred for CMA had a pathogenic chromosomal anomaly. In six of 73 fetuses (8.2%) with an isolated CHD, CMA identified two cases of DiGeorge syndrome, and one case each of 1q21.1 microdeletion, 16p11.2 microdeletion and Angelman/Prader Willi syndromes, and 22q11.21 microduplication syndrome. In 12 of 42 fetuses (28.6%) with CHD and additional structural abnormalities, CMA identified eight whole or partial trisomies (19.0%), five CNVs (11.9%) associated with DiGeorge, Wolf-Hirschhorn, Miller-Dieker, Cri du Chat and Blepharophimosis, Ptosis, and Epicanthus Inversus syndromes and four other rare pathogenic CNVs (9.5%). Overall, there was a 100% diagnostic concordance between CMA and CNV-Seq for detecting all 21 pathogenic chromosomal abnormalities associated with CHD.

CONCLUSION

CMA and CNV-Seq are reliable and accurate prenatal techniques for identifying pathogenic fetal chromosomal abnormalities associated with cardiac defects. © 2016 John Wiley & Sons, Ltd.

Genome-wide copy number variant analysis for congenital ventricular septal defects in Chinese Han population

Background

Ventricular septal defects (VSDs) constitute the most prevalent congenital heart disease (CHD), occurs either in isolation (isolated VSD) or in combination with other cardiac defects (complex VSD). Copy number variation (CNV) has been highlighted as a possible contributing factor to the etiology of many congenital diseases. However, little is known concerning the involvement of CNVs in either isolated or complex VSDs.

Methods

We analyzed 154 unrelated Chinese individuals with VSD by chromosomal microarray analysis. The subjects were recruited from four hospitals across China. Each case underwent clinical assessment to define the type of VSD, either isolated or complex VSD. CNVs detected were categorized into syndrom related CNVs, recurrent CNVs and rare CNVs. Genes encompassed by the CNVs were analyzed using enrichment and pathway analysis.

Results

Among 154 probands, we identified 29 rare CNVs in 26 VSD patients (16.9 %, 26/154) and 8 syndrome-related CNVs in 8 VSD patients (5.2 %, 8/154). 12 of the detected 29 rare CNVs (41.3 %) were recurrently reported in DECIPHER or ISCA database as associated with either VSD or general heart disease. Fifteen genes (5 %, 15/285) within CNVs were associated with a broad spectrum of complicated CHD. Among these15 genes, 7 genes were in “abnormal interventricular septum morphology” derived from the MGI (mouse genome informatics) database, and nine genes were associated with cardiovascular system development (GO:0072538).We also found that these VSD-related candidate genes are enriched in chromatin binding and transcription regulation, which are the biological processes underlying heart development.

Conclusions

Our study demonstrates the potential clinical diagnostic utility of genomic imbalance profiling in VSD patients. Additionally, gene enrichment and pathway analysis helped us to implicate VSD related candidate genes.

Electronic supplementary material

The online version of this article (doi:10.1186/s12920-015-0163-4) contains supplementary material, which is available to authorized users.

Genomic Copy Number Variation Affecting Genes Involved in the Cell Cycle Pathway: Implications for Somatic Mosaicism

Somatic genome variations (mosaicism) seem to represent a common mechanism for human intercellular/interindividual diversity in health and disease. However, origins and mechanisms of somatic mosaicism remain a matter of conjecture. Recently, it has been hypothesized that zygotic genomic variation naturally occurring in humans is likely to predispose to nonheritable genetic changes (aneuploidy) acquired during the lifetime through affecting cell cycle regulation, genome stability maintenance, and related pathways. Here, we have evaluated genomic copy number variation (CNV) in genes implicated in the cell cycle pathway (according to Kyoto Encyclopedia of Genes and Genomes/KEGG) within a cohort of patients with intellectual disability, autism, and/or epilepsy, in which the phenotype was not associated with genomic rearrangements altering this pathway. Benign CNVs affecting 20 genes of the cell cycle pathway were detected in 161 out of 255 patients (71.6%). Among them, 62 individuals exhibited >2 CNVs affecting the cell cycle pathway. Taking into account the number of individuals demonstrating CNV of these genes, a support for this hypothesis appears to be presented. Accordingly, we speculate that further studies of CNV burden across the genes implicated in related pathways might clarify whether zygotic genomic variation generates somatic mosaicism in health and disease.

Prenatal Diagnosis of DNA Copy Number Variations by Genomic Single-Nucleotide Polymorphism Array in Fetuses with Congenital Heart Defects

Objectives: To evaluate the usefulness of single-nucleotide polymorphism (SNP) array for prenatal genetic diagnosis of congenital heart defect (CHD), we used this approach to detect clinically significant copy number variants (CNVs) in fetuses with CHDs. Methods: A HumanCytoSNP-12 array was used to detect genomic samples obtained from 39 fetuses that exhibited cardiovascular abnormalities on ultrasound and had a normal karyotype. The relationship between CNVs and CHDs was identified by using genotype-phenotype comparisons and searching of chromosomal databases. All clinically significant CNVs were confirmed by real-time PCR. Results: CNVs were detected in 38/39 (97.4%) fetuses: variants of unknown significance were detected in 2/39 (5.1%), and clinically significant CNVs were identified in 7/39 (17.9%). In 3 of the 7 fetuses with clinically significant CNVs, 3 rare and previously undescribed CNVs were detected, and these CNVs encompassed the CHD candidate genes FLNA (Xq28 dup), BCOR (Xp11.4 dup), and RBL2 (16q12.2 del). Conclusion: Compared with conventional cytogenetic genomics, SNP array analysis provides significantly improved detection of submicroscopic genomic aberrations in pregnancies with CHDs. Based on these results, we propose that genomic SNP array is an effective method which could be used in the prenatal diagnostic test to assist genetic counseling for pregnancies with CHDs.

Prenatal Diagnosis of Central Nervous System Anomalies by High-Resolution Chromosomal Microarray Analysis

The aims of this study were to evaluate the contribution of chromosomal microarray analysis (CMA) in the prenatal diagnosis of fetuses with central nervous system (CNS) anomalies but normal chromosomal karyotype. A total of 46 fetuses with CNS anomalies with or without other ultrasound anomalies but normal karyotypes were evaluated by array-based comparative genomic hybridisation (aCGH) or single-nucleotide polymorphism (SNP) array. The result showed that CNVs were detected in 17 (37.0%) fetuses. Of these, CNVs identified in 5 (5/46, 10.9%) fetuses were considered to be likely pathogenic, and CNVs detected in 3 (3/46, 6.5%) fetuses were defined as being of uncertain clinical significance. Fetuses with CNS malformations plus other ultrasound anomalies had a higher rate of pathogenic CNVs than those with isolated CNS anomalies (13.6% versus 8.3%), but there was no significant difference (Fisher's exact test, P > 0.05). Pathogenic CNVs were detected most frequently in fetuses with Dandy-Walker syndrome (2/6, 33.3%) when compared with other types of neural malformations, and holoprosencephaly (2/7, 28.6%) ranked the second. CMA is valuable in prenatal genetic diagnosis of fetuses with CNS anomalies. It should be considered as part of prenatal diagnosis in fetuses with CNS malformations and normal karyotypes.

Array comparative genomic hybridization and fetal congenital heart defects: a systematic review and meta-analysis

OBJECTIVE

Array comparative genomic hybridization (aCGH) is a molecular cytogenetic technique that is able to detect the presence of copy number variants (CNVs) within the genome. The detection rate of imbalances by aCGH compared to standard karyotyping and 22q11 microdeletion analysis by fluorescence in-situ hybridization (FISH), in the setting of prenatally-diagnosed cardiac malformations, has been reported in several studies. The objective of our study was to perform a systematic literature review and meta-analysis to document the additional diagnostic gain of using aCGH in cases of congenital heart disease (CHD) diagnosed by prenatal ultrasound examination, with the aim of assisting clinicians to determine whether aCGH analysis is warranted when an ultrasonographic diagnosis of CHD is made, and to guide counseling in this setting.

METHODS

Articles in PubMed, EMBASE and Web of Science databases from January 2007 to September 2014 describing CNVs in prenatal cases of CHD were included. Search terms were: 'array comparative genomic hybridization', 'copy number variants' and 'fetal congenital heart defects'. Articles regarding karyotyping or 22q11 deletion only were excluded.

RESULTS

Thirteen publications (including 1131 cases of CHD) met the inclusion criteria for the analysis. Meta-analysis indicated an incremental yield of 7.0% (95% CI, 5.3-8.6%) for the detection of CNVs using aCGH, excluding aneuploidy and 22q11 microdeletion cases. Subgroup results showed a 3.4% (95% CI, 0.3-6.6%) incremental yield in isolated CHD cases, and 9.3% (95% CI,  6.6-12%) when extracardiac malformations were present. Overall, an incremental yield of 12% (95% CI, 7.6-16%) was found when 22q11 deletion cases were included. There was an additional yield of 3.4% (95% CI, 2.1-4.6%) for detecting variants of unknown significance (VOUS).

CONCLUSIONS

In this review we provide an overview of published data and discuss the benefits and limitations of using aCGH. If karyotyping and 22q11 microdeletion analysis by FISH are normal, using aCGH has additional value, detecting pathogenic CNVs in 7.0% of prenatally diagnosed CHD, with a 3.4% additional yield of detecting VOUS.