Monogenic diseases are frequent causes of neonatal morbidity and mortality, and disease presentations are often undifferentiated at birth. More than 3500 monogenic diseases have been characterized, but clinical testing is available for only some of them and many feature clinical and genetic heterogeneity. Hence, an immense unmet need exists for improved molecular diagnosis in infants. Because disease progression is extremely rapid, albeit heterogeneous, in newborns, molecular diagnoses must occur quickly to be relevant for clinical decision-making. We describe 50-hour differential diagnosis of genetic disorders by whole-genome sequencing (WGS) that features automated bioinformatic analysis and is intended to be a prototype for use in neonatal intensive care units. Retrospective 50-hour WGS identified known molecular diagnoses in two children. Prospective WGS disclosed potential molecular diagnosis of a severe GJB2-related skin disease in one neonate; BRAT1-related lethal neonatal rigidity and multifocal seizure syndrome in another infant; identified BCL9L as a novel, recessive visceral heterotaxy gene (HTX6) in a pedigree; and ruled out known candidate genes in one infant. Sequencing of parents or affected siblings expedited the identification of disease genes in prospective cases. Thus, rapid WGS can potentially broaden and foreshorten differential diagnosis, resulting in fewer empirical treatments and faster progression to genetic and prognostic counseling.

/pdf/rapid-whole-genome-sequencing-for-genetic-disease-diagnosis-1e7liienqg.pdf

Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units

Congenital heart disease (CHD) is the most common congenital anomaly in newborn babies. Cardiac malformations have been produced in multiple experimental animal models, by perturbing selected molecules that function in the developmental pathways involved in myocyte specification, differentiation, or cardiac morphogenesis. In contrast, the precise genetic, epigenetic, or environmental basis for these perturbations in humans remains poorly understood. Over the past few decades, researchers have tried to bridge this knowledge gap through conventional genome-wide analyses of rare Mendelian CHD families, and by sequencing candidate genes in CHD cohorts. Although yielding few, usually highly penetrant, disease gene mutations, these discoveries provided 3 notable insights. First, human CHD mutations impact a heterogeneous set of molecules that orchestrate cardiac development. Second, CHD mutations often alter gene/protein dosage. Third, identical pathogenic CHD mutations cause a variety of distinct malformations, implying that higher order interactions account for particular CHD phenotypes. The advent of contemporary genomic technologies including single nucleotide polymorphism arrays, next-generation sequencing, and copy number variant platforms are accelerating the discovery of genetic causes of CHD. Importantly, these approaches enable study of sporadic cases, the most common presentation of CHD. Emerging results from ongoing genomic efforts have validated earlier observations learned from the monogenic CHD families. In this review, we explore how continued use of these technologies and integration of systems biology is expected to expand our understanding of the genetic architecture of CHD.

Genetics of Congenital Heart Disease

Genetics of Congenital Heart Disease The Glass Half Empty

Congenital heart disease (CHD) is the most common birth defect. Despite considerable advances in care, CHD remains a major contributor to newborn mortality and is associated with substantial morbidities and premature death. Genetic abnormalities appear to be the primary cause of CHD, but identifying precise defects has proven challenging, principally because CHD is a complex genetic trait. Mainly because of recent advances in genomic technology such as next-generation DNA sequencing, scientists have begun to identify the genetic variants underlying CHD. In this article, the roles of modifier genes, de novo mutations, copy number variants, common variants, and noncoding mutations in the pathogenesis of CHD are reviewed.

/pdf/complex-genetics-and-the-etiology-of-human-congenital-heart-2jrj1cly80.pdf

Complex Genetics and the Etiology of Human Congenital Heart Disease

Objective

Clinical genetic testing is expanding rapidly, but the application of new testing has not been reported in an unselected, comprehensive congenital heart disease (CHD) patient population. This study aims to identify cytogenetic testing practices and diagnostic yield in infants with CHD as an important first step toward understanding clinical utility of dedicated cytogenetic testing. We hypothesized that chromosome microarray analysis (CMA) would identify genetic abnormalities underlying both syndromic and isolated CHD.



Design

This is a single institution retrospective study that characterizes cytogenetic testing practices and diagnostic yield for all cytogenetic testing in each infant identified with CHD over a 32-month period. CHD was classified by type, complexity, and presence or absence of extracardiac anomalies.



Results

Among the 1087 infants identified with CHD by echocardiogram, 277 infants (25%) had some form of cytogenetic testing, including karyotype, fluorescence in situ hybridization, and/or CMA. Forty-one percent of infants who had cytogenetic testing had more than one test. CMA was performed in 121 patients (11%), and abnormalities (both clinically significant and variants of unknown significance) were identified in 35/121 (29%). Forty-nine percent of CMA abnormalities were in patients with apparently isolated nonsyndromic CHD.



Conclusions

This single institution study identified that only 25% of infants with CHD underwent cytogenetic testing, indicating possible underutilization of testing in this age group. The high multiple testing rate indicates a need for improved guidelines for cost effective testing approaches. The diagnostic yield in this study suggests that CMA is a particularly useful first screening test when a specific syndrome is not clinically identifiable. Larger studies investigating cardiac lesion-specific diagnostic yield in isolated CHD are warranted.

Genetic testing practices in infants with congenital heart disease.

The clinical significance of copy number variants (CNVs) in congenital heart disease (CHD) continues to be a challenge. Although CNVs including genes can confer disease risk, relationships between ...

/pdf/human-gene-copy-number-spectra-analysis-in-congenital-heart-2z1bu89nw3.pdf

Human gene copy number spectra analysis in congenital heart malformations

Aim: To visualize copy number associations and quantify relative risk of Copy Number Variants (CNVs) in 100 well-defined congenital heart disease (CHD) risk genes identified from literature sources...

Abstract 16717: Human Gene Copy Number Spectra Analysis in Congenital Heart Malformations

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Human gene copy number spectra analysis in congenital heart malformations

Abstract 16717: Human Gene Copy Number Spectra Analysis in Congenital Heart Malformations