Utility of chromosomal microarray in anomalous fetuses

The Evolving Role of Genetic Evaluation in the Prenatal Diagnosis and Management of Congenital Heart Disease

Congenital heart disease (CHD) is increasingly diagnosed prenatally and the ability to screen and diagnose the genetic factors involved in CHD have greatly improved. The presence of a genetic abnormality in the setting of prenatally diagnosed CHD impacts prenatal counseling and ensures that families and providers have as much information as possible surrounding perinatal management and what to expect in the future. This review will discuss the genetic evaluation that can occur prior to birth, what different genetic testing methods are available, and what to think about in the setting of various CHD diagnoses.

Copy Number Variation Analysis of Euploid Pregnancy Loss

Objectives: Copy number variant (CNV) is believed to be the potential genetic cause of pregnancy loss. However, CNVs less than 3 Mb in euploid products of conceptions (POCs) remain largely unexplored. The aim of this study was to investigate the features of CNVs less than 3 Mb in POCs and their potential clinical significance in pregnancy loss/fetal death. Methods: CNV data were extracted from a cohort in our institution and 19 peer-reviewed publications, and only those CNVs less than 3 Mb detected in euploid pregnancy loss/fetal death were included. We conducted a CNV map to analyze the distribution of CNVs in chromosomes using R packages karyoploteR_1.10.5. Gene names and annotated gene types covered by those CNVs were mined from the human Release 19 reference genome file and GENECODE database. We assessed the expression patterns and the consequences of murine knock-out of those genes using TiGER and Mouse Genome Informatics (MGI) databases. Functional enrichment and pathway analysis for genes in CNVs were performed using clusterProfiler V3.12.0. Result: Breakpoints of 564 CNVs less than 3 Mb were obtained from 442 euploid POCs, with 349 gains and 185 losses. The CNV map showed that CNVs were distributed in all chromosomes, with the highest frequency detected in chromosome 22 and the lowest frequency in chromosome Y, and CNVs showed a higher density in the pericentromeric and sub-telomeric regions. A total of 5,414 genes mined from the CNV regions (CNVRs), Gene Ontology (GO), and pathway analysis showed that the genes were significantly enriched in multiple terms, especially in sensory perception, membrane region, and tight junction. A total of 995 protein-coding genes have been reported to present mammalian phenotypes in MGI, and 276 of them lead to embryonic lethality or abnormal embryo/placenta in knock-out mouse models. CNV located at 19p13.3 was the most common CNV of all POCs. Conclusion: CNVs less than 3 Mb in euploid POCs distribute unevenly in all chromosomes, and a higher density was seen in the pericentromeric and sub-telomeric regions. The genes in those CNVRs are significantly enriched in biological processes and pathways that are important to embryonic/fetal development. CNV in 19p13.3 and the variations of ARID3A and FSTL3 might contribute to pregnancy loss.

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.

Nonimmune hydrops fetalis: Genetic analysis and clinical outcome

OBJECTIVE

To investigate the genetic causes and clinical outcomes of nonimmune hydrops fetalis (NIHF).

METHODS

Cohort of cases of NIHF between July 2013 and December 2018. Initial genetic testing included quantitative fluorescence polymerase chain reaction for aneuploidies, karyotyping and chromosomal microarray analysis (CMA). In negative results, whole exome sequencing (WES) of the fetuses and parents was performed. Clinical post-natal follow-up assessments were conducted.

RESULTS

One hundred and nine patients fulfilled the study inclusion criteria and were sequentially genetically assessed by karyotype, CMA and WES. Among them, 24.8% (27/109) had a clinically significant genetic abnormality: 21 (19%) had abnormal karyotypes; 3/72 had pathogenic/likely pathogenic copy number variants (additional yield = 4.2%); and 3 had single gene disorders. The pregnancy termination and live birth rates of the cases with positive genetic testing results were significantly different from those with negative results (92.6% vs 53.7% and 3.7% vs 31.7%, respectively, P < .05 for both). During clinical follow-up of the survivors, 3/23 (13.0%) children developed an additional phenotype.

CONCLUSION

This study improves our understanding of the diagnostic yield of CMA and WES for NIHF. A genetic diagnosis of NIHF can help determine the fetal prognosis and recurrence risk and influence pregnancy decision-making.

Utility of chromosomal microarray for diagnosis in cases of nonimmune hydrops fetalis

PURPOSE

Chromosomal microarray (CMA) is recommended in the diagnostic evaluation of cases with fetal structural anomalies when invasive testing is pursued. However, the utility of CMA for nonimmune hydrops fetalis (NIHF) specifically is not well known. Our objective was to describe the overall yield of CMA in the diagnostic evaluation of NIHF, comparing isolated cases to those with concurrent structural anomalies.

METHODS

This was a retrospective cohort study of all prenatally diagnosed NIHF cases evaluated at the University of California, San Francisco from 2008 to 2018. NIHF due to twin-twin transfusion syndrome was excluded.

RESULTS

There were 131 cases of prenatally diagnosed NIHF. In 43/44 cases with a CMA performed, results were categorized as normal or likely benign. One case was found on CMA to have a large pathogenic duplication of 21p11.2q22.3, which could have been detected by karyotype and was consistent with a diagnosis of Down syndrome. There was no incremental yield demonstrated for CMA over karyotype.

CONCLUSIONS

Among a cohort of prenatally diagnosed NIHF cases, CMA did not identify any copy number variants beyond those detectable by karyotype, and the vast majority of CMAs were normal. These results suggest that CMA has low diagnostic utility for NIHF.

Efficacy of copy-number variation sequencing technology in prenatal diagnosis

Background Classical karyotyping and copy-number variation sequencing (CNV-seq) are useful methods for the prenatal detection of chromosomal abnormalities. Here, we examined the potential of using a combination of the two methods for improved and accurate diagnosis. Methods From February 2013 to January 2018, 64 pregnant women showing indications for fetal chromosomal examination in the affiliated hospital of the Inner Mongolia Medical University were selected for this study. Amniotic fluid was collected and used for karyotype analysis and CNV-seq. Results Karyotype analysis of the 64 cases showed that six cases (9.38%) had chromosomal abnormalities. Using CNV-seq, in addition to three cases with numerical abnormalities of chromosomes, 14 cases were detected with CNV, of which five were pathogenic CNV, four were of uncertain clinical significance and five were polymorphic CNV. However, CNV-seq failed to detect one case with sex chromosome mosaicism and a balanced translocation carrier. The rate of abnormal chromosome and CNV detection was 26.56% (17/64) by CNV-seq. Conclusion Application of CNV-seq in prenatal diagnosis could allow the detection of submicroscopic chromosomal abnormalities and effectively reduce the birth of children with microdeletion and microduplication syndrome. Additionally, the combined application of karyotype analysis and CNV-seq can effectively improve the detection rate of chromosome abnormalities.

A system-based approach to the genetic etiologies of non-immune hydrops fetalis

A wide spectrum of genetic causes may lead to nonimmune hydrops fetalis (NIHF), and a thorough phenotypic and genetic evaluation are essential to determine the underlying etiology, optimally manage these pregnancies, and inform discussions about anticipated prognosis. In this review, we outline the known genetic etiologies of NIHF by fetal organ system affected, and provide a systematic approach to the evaluation of NIHF. Some of the underlying genetic disorders are associated with characteristic phenotypic features that may be seen on prenatal ultrasound, such as hepatomegaly with lysosomal storage disorders, hyperechoic kidneys with congenital nephrosis, or pulmonary valve stenosis with RASopathies. However, this is not always the case, and the approach to evaluation must include prenatal ultrasound findings as well as genetic testing and many other factors. Genetic testing that has been utilized for NIHF ranges from standard chromosomal microarray or karyotype to gene panels and broad approaches such as whole exome sequencing. Family and obstetric history, as well as pathology examination, can yield additional clues that are helpful in establishing a diagnosis. A systematic approach to evaluation can guide a more targeted approach to genetic evaluation, diagnosis, and management of NIHF.

Added value of chromosomal microarray analysis over conventional karyotyping in stillbirth work-up: systematic review and meta-analysis

OBJECTIVE

To assess the added value of chromosomal microarray analysis (CMA) over conventional karyotyping to assess the genetic causes in stillbirth.

METHODS

To identify relevant studies, published in English or Spanish and without publication time restrictions, we performed a systematic search of PubMed, SCOPUS and ISI Web of Science databases, The Cochrane Library and the PROSPERO register of systematic reviews, for case series of fetal loss ≥ 20 weeks of gestation, with normal or suspected normal karyotype, undergoing CMA and with at least five subjects analyzed. To investigate quality, two reviewers evaluated independently the risk of bias using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. For the meta-analysis, the incremental yield of CMA over karyotyping was assessed by single-proportion analysis using a random-effects model (weighting by inverse variance). We assessed heterogeneity between studies and performed a sensitivity analysis and a subgroup analysis of structurally abnormal (malformed or growth-restricted) and normal fetuses.

RESULTS

Included in the meta-analysis were seven studies involving 903 stillborn fetuses which had normal karyotype. The test success rate achieved by conventional cytogenetic analysis was 75%, while that for CMA was 90%. The incremental yield of CMA over conventional karyotyping based on the random-effects model was 4% (95% CI, 3-5%) for pathogenic copy-number variants (pCNVs) and 8% (95% CI, 4-17%) for variants of unknown significance. Subgroup analysis showed a 6% (95% CI, 4-10%) incremental yield of CMA for pCNVs in structurally abnormal fetuses and 3% (95% CI, 1-5%) incremental yield for those in structurally normal fetuses. The pCNV found most commonly was del22q11.21.

CONCLUSIONS

CMA, incorporated into the stillbirth work-up, improves both the test success rate and the detection of genetic anomalies compared with conventional karyotyping. To achieve a genetic diagnosis in stillbirth is particularly relevant for the purpose of counseling regarding future pregnancies. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.