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Sudden cardiac death (SCD) is one of the leading causes of mortality in the U.S. military and competitive athletes. In this study, we simulate how genetic screening may be implemented in the military to prevent an SCD endpoint resulting from hypertrophic cardiomyopathy (HCM). We created a logistic regression model to predict variant pathogenicity in the most common HCM associated genes MYH7and MYBPC3.Model predictions were used in conjunction with the gnomAD database to identify frequencies of pathogenic variants. Extrapolating these variants to a military population, lives saved and cost benefit analyses were conducted for screening for HCM related to pathogenic variants in MYH7and MYBPC3.Genetic screening for HCM followed by echocardiography in individuals with pathogenic variants is predicted to save an average of 2.9 lives per accession cohort, based on historical cohort sizes, and result in a break‐even cost of ~$7 per test. The false positives, defined as disqualified individuals for military service who do not have HCM, are predicted to be 0 individuals per accession cohort. This study suggests that the main barriers for the implementation of genetic screening for the U.S. military are the low detection rate and variant interpretation.

Congenital heart disease (CHD) in low‐and‐middle income countries (LMIC) is often characterized by late presentation resulting from inadequate screening and healthcare access in these regions. Accurate estimates of the burden of CHD among school children are often lacking. The objective of this study was to determine the prevalence and distribution of CHD among school children in two communities (urban and semi‐urban) in south western Nigeria. Using clinical assessment and portable echocardiography, 4107 school children aged 5 years to 16 years in Lagos, Nigeria, were selected using a multistage sampling procedure and screened for CHD. Diagnosis of CHD was made after echocardiography. Children identified with CHD were referred to a tertiary hospital for appropriate cardiac care. The 4,107 children screened had a mean age of 11.3 ± 2.7 years and 53.7% were females. Twenty seven children had echocardiography‐confirmed CHD, representing a prevalence of CHD among school children in Lagos, Nigeria of 6.6 per 1000 children. Acyanotic CHD constituted 96.3% of detected cases. Two children diagnosed with CHD (Tetralogy of Fallot and severe pulmonary valve stenosis respectively) had successful intervention. The prevalence of previously undiagnosed CHD among school children in Lagos Nigeria is substantial and highlights gaps in the health care system and school health programs. Echocardiographic screening of school children provides an opportunity for missed early diagnosis and treatment of CHD and reduces the prevalence of first‐diagnosed CHD in adulthood. Therefore, focused clinical examination of school children followed by echocardiography is a strategy that could bridge this diagnostic and treatment gap in CHD.

Comorbidity of holoprosencephaly (HPE) and congenital heart disease (CHD) in individuals with genetic variants in known HPE‐related genes has been recurrently observed. Morphogenesis of the brain and heart from very early stages are regulated by several biological pathways, some of them involved in both heart and brain development as evidenced by genetic studies on model organisms. For instance, downregulation of Hedgehog or Nodal signaling pathways, both known as major triggers of HPE, has been shown to play a role in the pathogenesis of CHD, including structural defects and left–right asymmetry defects. In this study, individuals with various types of HPE were investigated clinically and by genomic sequencing. Cardiac phenotypes were assessed in 434 individuals with HPE who underwent targeted sequencing. CHDs were identified in 8% (n= 33) of individuals, including 10 (30%) cases of complex heart disease. Only four individuals (4/33) had damaging variants in the known HPE genes STAG2, SIX3, and SHH. Interestingly, no CHD was identified in the 37 individuals of our cohort with pathogenic variants in ZIC2. These findings suggest that CHD occurs more frequently in HPE‐affected individuals with or without identifiable genetic variants, and this co‐occurrence may be genetically driven and gene‐specific.

Congenital heart disease (CHD) is the most prevalent birth defect and is the result of multiple etiologies including genetic and environmental causes. This article reviews the genetic workup for structural CHD in the clinical setting, beginning with CHD epidemiology and etiology and then moving to genetic testing, clinical evaluation, and genetic counseling. An algorithm is presented as a guide to genetic test selection, and available tests are explained with their respective advantages and limitations. Finally, future advances are discussed. As this review focuses on structural heart disease, isolated cardiomyopathies, inherited primary arrhythmia syndromes and aortopathies are not discussed.

To address knowledge gaps about Turner syndrome (TS) associated disease mechanisms, the Turner Syndrome Society of the United States created the Turner Syndrome Research Registry (TSRR), a patient‐powered registry for girls and women with TS. More than 600 participants, parents or guardians completed a 33‐item foundational survey that included questions about demographics, medical conditions, psychological conditions, sexuality, hormonal therapy, patient and provider knowledge about TS, and patient satisfaction. The TSRR platform is engineered to allow individuals living with rare conditions and investigators to work side‐by‐side. The purpose of this article is to introduce the concept, architecture, and currently available content of the TSRR, in anticipation of inviting proposals to utilize registry resources.

Facial analysis technology in rare diseases has the potential to shorten the diagnostic odyssey by providing physicians with a valuable diagnostic tool. Given that most clinical genetic resources focus on populations of European descent, we compare craniofacial features in genetic syndromes across different populations and review how machine learning algorithms perform on diagnosing genetic syndromes in geographically and ethnically diverse populations. We also discuss the value of populations from ancestrally diverse backgrounds in the training set of machine learning algorithms. Finally, this review demonstrates that across diverse population groups, machine learning models have outstanding accuracy as supported by the area under the curve values greater than 0.9. Artificial intelligence is only in its infancy in the diagnosis of rare disease in diverse populations and will become more accurate as larger and more diverse training sets, including a wider spectrum of ages, particularly infants, are studied.

The provision of information and support to families experiencing holoprosencephaly (HPE) in a loved one is unequivocally challenging, even for the most experienced clinicians. It deserves the balance of pertinent information coupled with medical guidance that forms the basis for shared decision‐making; all of which is ideally contained within a supportive environment. It requires a willingness to carefully listen to the specific concerns of the parents and family allowing them to revisit challenging issues as much as needed to encourage existing road blocks to be resolved. It necessitates that professionals see each and every family as unique, without preconceived notions about what is or is not important and being prepared to accept thoughts and decisions that may not fit with the professional's own beliefs. To some, this may sound impractical, inefficient, or even impossible within the time constrained models of modern day clinical services. However, in practice, this patient‐focused approach is arguably the most essential step in providing “personalized medicine” to the populations we encounter. This manuscript is intended to provide a brief review of relevant literature and case discussions to highlight issues for families learning of the diagnosis of HPE during a pregnancy, at birth, during childhood or more rarely, in adolescence.

Holoprosencephaly (HPE) consists of a spectrum of malformations related to incomplete separation of the prosencephalon. There is a wide clinical variability depending on the HPE subtype seen on imaging. Early postnatal lethality is common, however a significant fraction of newborns diagnosed with HPE will survive into childhood and even adulthood. Here we will review the clinical management of HPE during different ages from the prenatal period to adulthood.

Holoprosencephaly (HPE), a common developmental forebrain malformation, is characterized by failure of the cerebrum to completely divide into left and right hemispheres. The etiology of HPE is heterogeneous and a number of environmental and genetic factors have been identified. Cytogenetically visible alterations occur in 25% to 45% of HPE patients and cytogenetic techniques have long been used to study copy number variants (CNVs) in this disorder. The karyotype approach initially demonstrated several recurrent chromosomal anomalies, which led to the identification of HPE‐specific loci and, eventually, several major HPE genes. More recently, higher‐resolution cytogenetic techniques such as subtelomeric multiplex ligation‐dependent probe amplification and chromosomal microarray have been used to analyze chromosomal anomalies. By using chromosomal microarray, we sought to identify submicroscopic chromosomal deletions and duplications in patients with HPE. In an analysis of 222 individuals with HPE, a deletion or duplication was detected in 107 individuals. Of these 107 individuals, 23 (21%) had variants that were classified as pathogenic or likely pathogenic by board‐certified medical geneticists. We identified multiple patients with deletions in established HPE loci as well as three patients with deletions encompassed by 6q12‐q14.3, a CNV previously reported by Bendavid et al. In addition, we identified a new locus, 16p13.2 that warrants further investigation for HPE association. Incidentally, we also found a case of Potocki‐Lupski syndrome, a case of Phelan‐McDermid syndrome, and multiple cases of 22q11.2 deletion syndrome within our cohort. These data confirm the genetically heterogeneous nature of HPE, and also demonstrate clinical utility of chromosomal microarray in diagnosing patients affected by HPE.

Holoprosencephaly (HPE) is partial or complete failure of the forebrain to divide into hemispheres and can be an isolated finding or associated with a syndrome. Most cases of HPE are associated with a syndrome and roughly 40%–60% of fetuses with HPE have trisomy 13 which is the most common etiology of HPE. Other syndromes associated with HPE include additional aneuploidies like trisomy 18 and single gene disorders such as Smith–Lemli–Opitz syndrome. There are a number of syndromes such as pseudotrisomy 13 which do not have a known molecular etiology; therefore, this review has two parts: syndromes with a molecular diagnosis and syndromes where the etiology is yet to be found. As most HPE is syndromic, this review provides a comprehensive list and description of syndromes associated with HPE that may be used as a differential diagnosis and starting point for evaluating individuals with HPE.

Holoprosencephaly (HPE) is a structural brain anomaly characterized by failure of the forebrain to separate during early embryogenesis. Both genetic and environmental etiologies of HPE have been discovered over the last three decades. Traditionally, the genetic workup for HPE has been a karyotype, chromosomal microarray, and/or Sanger sequencing of select genes. The recent increased availability of next‐generation sequencing has changed the molecular diagnostic landscape for HPE, associating new genes with this disorder such as FGFR1. We conducted a systematic review of the medical literature for the molecular testing of HPE for studies published in the last 20 years. We also queried known commercial diagnostic laboratories and used information on their websites to construct a list of available commercial testing. Our group released its first recommendations in 2010 and this update incorporates the technology shifts and gene discoveries over the last decade. These recommendations provide a guide for genetic diagnosis of HPE, which is paramount for patients and their families for prognosis, treatment, and genetic counseling.

Nonchromosomal, nonsyndromic holoprosencephaly (NCNS‐HPE) has traditionally been considered as a condition of brain and craniofacial maldevelopment. In this review, we present the results of a comprehensive literature search supporting a wide spectrum of extracephalic manifestations identified in patients with NCNS‐HPE. These manifestations have been described in case reports and in large cohorts of patients with “single‐gene” mutations, suggesting that the NCNS‐HPE phenotype can be more complex than traditionally thought. Likely, a complex network of interacting genetic variants and environmental factors is responsible for these systemic abnormalities that deviate from the usual brain and craniofacial findings in NCNS‐HPE. In addition to the systemic consequences of pituitary dysfunction (as a direct result of brain midline defects), here we describe a number of extracephalic findings of NCNS‐HPE affecting various organ systems. It is our goal to provide a guide of extracephalic features for clinicians given the important clinical implications of these manifestations for the management and care of patients with HPE and their mutation‐positive relatives. The health risks associated with some manifestations (e.g., fatty liver disease) may have historically been neglected in affected families.

Turner syndrome (TS), a genetic condition affecting roughly 1 in 2,000 females, is caused by a complete or partial loss of the second sex chromosome. This special issue of the American Journal of Medical Genetics Part C is a collection of research and clinical care reviews in TS from an international group of physician and scientist leaders who attended the 2018 “Turner Network Resource Symposium: Turner Science in the 21st Century”, held in Arlington Virginia, July 15th‐17th, 2018. Both this special issue and the 2018 Symposium are fueled by two rationales. First, inadequate attention has been given to health and psychosocial problems in girls and women with TS; and second, that an understanding of TS might shed light on the role of sex chromosome dosage in common conditions such as heart disease and autoimmune disease. These seminars interweave multiple themes: the fundamental partnership between participants with rare diseases and researchers, new knowledge regarding clinical care in TS, and an understanding of the “molecular phenotype” of TS‐associated conditions.

In this special issue of the American Journal of Medical Genetics Part C, we focus on the “State of Congenital Heart Disease.” We anticipate that after viewing this journal, the reader will be up‐to‐date on the epidemiology of congenital heart disease (CHD), the genetic basis of CHD, ethical concerns, and the global impact of CHD. And most importantly, we are confident that this special issue conveys the message that CHD is complex and that much work is still needed in genetic and genomic research.