An RCT of Rapid Genomic Sequencing among Seriously Ill Infants Results in High Clinical Utility, Changes in Management, and Low Perceived Harm

Benefits and barriers to broad implementation of genomic sequencing in the NICU

Genome (GS) and exome (ES) sequencing as first-tier diagnostic tests have the potential to increase rates of genetic diagnoses and acutely change the management of neonates in the neonatal intensive care unit (NICU). However, the widespread implementation of genomic sequencing has been limited by several barriers. In this systematic review, we analyze the current literature on the utilization of GS and ES in infants in the NICU to identify the benefits, barriers, and components of successful implementation. Across the 42 studies that discussed GS and ES in the NICU setting, six themes were identified: disease detection, timeliness of results, cost, provider attitudes, parental attitudes, and equitable access. Benefits of GS and ES include high disease detection rates, timely results, and possible reduction in healthcare costs by reducing time spent in the NICU. Additionally, clinicians find GS/ES to be important and useful, and parents and caregivers largely perceive GS/ES to be beneficial. Barriers to widespread GS/ES include availability of personnel to facilitate timely diagnosis and coverage of cost. Additionally, clinicians report worries about a lack of genetics knowledge, informed consent, results return, and potential harm. Parents consistently report low levels of anxiety, decisional conflict, harm, or regret. Finally, the lack of availability of translated consent documents limits the participation of families who do not speak English or Spanish. Continued work is essential to optimize these technologies and ensure equitable access.

First-Tier Versus Last-Tier Trio Whole-Genome Sequencing for the Diagnosis of Pediatric-Onset Rare Diseases

Despite advances in diagnostics, children with rare genetic disorders still face extended diagnostic odysseys, delaying appropriate clinical management, and placing burdens on families and healthcare resources. Whole-genome sequencing (WGS) offers a more comprehensive interrogation of the genome than other genetic tests, but its use in clinical practice remains limited. This study compared diagnostic rates, turnaround times, and clinical utility of first-tier versus last-tier trio-WGS for patients with suspected genetic pediatric-onset conditions, including 97 critical and 104 non-critical patients. Eighty-five patients (42.3%), including 57 (58.8%) critical and 28 (26.9%) non-critical patients, received a molecular diagnosis. The diagnostic rate was higher for first-tier (57%) than for last-tier (32.8%) trio-WGS. Of 121 causative variants identified, 19.8% would have been missed by whole-exome sequencing. Laboratory processing time was 4 days for all patients. The clinical setting had the greatest impact on time to reporting, averaging 5 days for critical patients versus 74 days for outpatients. WGS results impacted clinical decision-making for 34% of all critical and 14.3% of WGS-positive non-critical patients. This is the first Italian clinical study to demonstrate the diagnostic and clinical utility of a genome-first approach for both critical and non-critical patients with suspected genetic pediatric-onset disorders and feasibility in a public healthcare system.

Clinical utility of rapid whole genome sequencing in neonatal patients receiving extracorporeal membrane oxygenation (ECMO)

OBJECTIVE

The objective of this study is to describe the impact of rapid and ultra-rapid whole genome sequencing (rWGS/urWGS) on the care of neonatal intensive care (NICU) patients who require extracorporeal membrane oxygenation (ECMO).

STUDY DESIGN

This is a retrospective cohort study at a single-center NICU in a tertiary children's hospital. The study population includes NICU patients treated with ECMO from May 2017 to September 2023. Patients were evaluated for whether whole genome was completed, speed of testing (rapid vs. ultra-rapid), diagnostic rate, and clinical utility.

RESULT

Twenty-six (72%) patients had rWGS/urWGS. A diagnosis associated with the patient's phenotype was made in 12 patients (46%). A change in clinical management was made due to rWGS/urWGS in 10 patients (38%) including avoidance of imaging studies, decisions regarding goals of care, and screening studies.

CONCLUSION

This study demonstrates a high diagnostic rate and clinical utility of rWGS/urWGS for NICU patients requiring ECMO.

Time tracking and comparison of genetic counseling tasks in inpatient and outpatient settings

Genetic counselors (GCs) practice in critical care settings. Some GCs have full-time inpatient roles, while most GCs who see inpatients do so as needed or on a rotating schedule in addition to seeing patients in an outpatient setting. Few studies have tracked and compared the amount of time it takes GCs to perform tasks in the inpatient and outpatient settings. Genetic counselors were invited to participate in this study via the National Society of Genetic Counselors research listserv. Participants completed an online survey asking how their role is structured and what types of support are available to them while seeing inpatients. They also performed time tracking for 16 tasks known to be associated with inpatient and/or outpatient care via RedCap. These tasks include direct patient care, care coordination, and other tasks which encapsulate a new patient encounter from beginning to end. Forty-two inpatient encounters and 26 outpatient encounters were analyzed. The total average time spent on an inpatient consult (3 h and 38.5 min) was significantly higher than the time spent on an outpatient consult (2 h and 24.7 min; p < 0.05). Individually, genetic counselors spent significantly more time on the following tasks in an inpatient setting: direct follow-up encounters, multidisciplinary team communication, results disclosure encounters, results disclosure documentation, traveling, and waiting. Follow-up encounters, traveling, and waiting happen almost exclusively in inpatient settings. Short answer prompts regarding structure of GC role and available support revealed themes including lack of inpatient role structure, challenges with balancing between inpatient and outpatient tasks, and varied institutional support. These results promote further discussion about how to support GCs who see inpatients as these roles expand. Some suggestions include increased FTE/protected time and/or GCA support specific to the inpatient role.

Rapid Whole-Genome Sequencing in Critically Ill Infants and Children with Suspected, Undiagnosed Genetic Diseases: Evolution to a First-Tier Clinical Laboratory Test in the Era of Precision Medicine

The completion of the Human Genome Project in 2003 has led to significant advances in patient care in medicine, particularly in diagnosing and managing genetic diseases and cancer. In the realm of genetic diseases, approximately 15% of critically ill infants born in the U.S.A. are diagnosed with genetic disorders, which comprise a significant cause of mortality in neonatal and pediatric intensive care units. The introduction of rapid whole-genome sequencing (rWGS) as a first-tier test in critically ill children with suspected, undiagnosed genetic diseases is a breakthrough in the diagnosis and subsequent clinical management of such infants and older children in intensive care units. Rapid genome sequencing is currently being used clinically in the USA, the UK, the Netherlands, Sweden, and Australia, among other countries. This review is intended for students and clinical practitioners, including non-experts in genetics, for whom it provides a historical background and a chronological review of the relevant published literature for the progression of pediatric diagnostic genomic sequencing leading to the development of pediatric rWGS in critically ill infants and older children with suspected but undiagnosed genetic diseases. Factors that will help to develop rWGS as a clinical test in critically ill infants and the limitations are briefly discussed, including an evaluation of the clinical utility and accessibility of genetic testing, education for parents and providers, cost-effectiveness, ethical challenges, consent issues, secondary findings, data privacy concerns, false-positive and false-negative results, challenges in variant interpretation, costs and reimbursement, the limited availability of genetic counselors, and the development of evidence-based guidelines, which would all need to be addressed to facilitate the implementation of pediatric genomic sequencing in an effective widespread manner in the era of precision medicine.

Identifying characteristics associated with genetic testing in the NICU

Genetic testing is an integral part of Neonatal Intensive Care Unit (NICU) care. There are reported disparities in both NICU care and genetic testing related to race and language spoken. Identifying characteristics associated with genetic testing in NICUs could help detect patients who may benefit from genetic testing, as well as any current disparities. We sought to analyze characteristics of NICU admits who had genetic testing in general and specific test categories. Characteristics were requested from the Children's Hospital Neonatal Consortium database for patients admitted to Primary Children's Hospital's NICU in 2022. Statistical analysis was performed to determine if characteristics were more likely to result in genetic testing and if differences between those with genetic testing and those without were significant. All genetic test types were more likely ordered with genetic consultations. Cytogenetic testing was more likely in patients with a cardiology consult or who were Spanish-speaking. Patients who were of Hispanic origin were more likely to have molecular testing ordered. The average number of specialty consults for a patient was higher for those with genetic testing. Premature and low birthweight infants had longer time to genetic test ordering. No disparities were identified, which could be due to a small, homogenous sample. The differences with Spanish-speaking patients and those with mothers of Hispanic origin could be due to many factors, including consenting practices. It may be difficult to identify infants who might need genetic testing when they are low birthweight and/or premature. It is important to continue monitoring for differences in ordering practice for this vulnerable population.

Application of rapid clinical exome sequencing technology in the diagnosis of critically ill pediatric patients with suspected genetic diseases

Purpose

This study evaluates the efficacy of rapid clinical exome sequencing (CES) and mitochondrial DNA (mtDNA) sequencing for diagnosing genetic disorders in critically ill pediatric patients.

Methods

A multi-centre investigation was conducted, enrolling critically ill pediatric patients suspected of having genetic disorders from March 2019 to December 2020. Peripheral blood samples from patients and their parents were analyzed using CES (proband-parent) and mtDNA sequencing (proband-mother) based on Next-Generation Sequencing (NGS) technology.

Results

The study included 44 pediatric patients (24 males, 20 females) with a median age of 27 days. The median turnaround time for genetic tests was 9.5 days. Genetic disorders were diagnosed in 25 patients (56.8%): 5 with chromosome microduplication/deletion syndromes (11.3%), 1 with UPD-related disease (2.3%), and 19 with monogenic diseases (43.2%). De novo variants were identified in nine patients (36.0%). A neonate was diagnosed with two genetic disorders due to a homozygous SLC25A20 variant and an MT-TL1 gene variation.

Conclusion

Rapid genetic diagnosis is crucial for critically ill pediatric patients with suspected genetic disorders. CES and mtDNA sequencing offer precise and timely results, guiding treatment and reducing mortality and disability, making them suitable primary diagnostic tools.

SeqFirst: Building equity access to a precise genetic diagnosis in critically ill newborns

Access to a precise genetic diagnosis (PrGD) in critically ill newborns is limited and inequitable because the complex inclusion criteria used to prioritize testing eligibility omit many patients at high risk for a genetic condition. SeqFirst-neo is a program to test whether a genotype-driven workflow using simple, broad exclusion criteria to assess eligibility for rapid genome sequencing (rGS) increases access to a PrGD in critically ill newborns. All 408 newborns admitted to a neonatal intensive care unit between January 2021 and February 2022 were assessed, and of 240 eligible infants, 126 were offered rGS (i.e., intervention group [IG]) and compared to 114 infants who received conventional care in parallel (i.e., conventional care group [CCG]). A PrGD was made in 62/126 (49.2%) IG neonates compared to 11/114 (9.7%) CCG infants. The odds of receiving a PrGD were ∼9 times greater in the IG vs. the CCG, and this difference was maintained at 12 months follow-up. Access to a PrGD in the IG vs. CCG differed significantly between infants identified as non-White (34/74, 45.9% vs. 6/29, 20.7%; p = 0.024) and Black (8/10, 80.0% vs. 0/4; p = 0.015). Neonatologists were significantly less successful at predicting a PrGD in non-White than non-Hispanic White infants. The use of a standard workflow in the IG with a PrGD revealed that a PrGD would have been missed in 26/62 (42%) infants. The use of simple, broad exclusion criteria that increase access to genetic testing significantly increases access to a PrGD, improves access equity, and results in fewer missed diagnoses.

Omics and rare diseases: challenges, applications, and future perspectives

INTRODUCTION

Rare diseases (RDs) are a heterogeneous group of diseases recognized as a relevant global health priority but posing aspects of complexity, such as geographical scattering of affected individuals, improper/late diagnosis, limited awareness, difficult surveillance and monitoring, limited understanding of natural history, and lack of treatment. Usually, RDs have a pediatric onset and are life-long, multisystemic, and associated with a poor prognosis.

AREAS COVERED

In this work, we review how high-throughput omics technologies such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and other well-established omics, which are increasingly more affordable and efficient, can be applied to the study of RDs promoting diagnosis, understanding of pathological mechanisms, biomarker discovery, and identification of treatments.

EXPERT OPINION

RDs, despite their challenges, offer a niche where collaborative efforts and personalized treatment strategies might be feasible using omics technologies. Specialized consortia fostering multidisciplinary collaboration, data sharing, and the development of biobanks and registries can be built; multi-omics approaches, including so far less exploited omics technologies, along with the implementation of AI tools can be undertaken to deepen our understanding of RDs, driving biomarker discovery and clinical interventions. Nevertheless, technical, ethical, legal, and societal issues must be clearly defined and addressed.

A meta-analysis of diagnostic yield and clinical utility of genome and exome sequencing in pediatric rare and undiagnosed genetic diseases

PURPOSE

To systematically evaluate the diagnostic yield and clinical utility of genome sequencing (GS) and exome sequencing (ES; genome-wide sequencing [GWS]) in pediatric patients with rare and undiagnosed genetic diseases.

METHODS

We conducted a meta-analysis of studies published between 2011 and 2023. To address study heterogeneity, comparative analyses included within-cohort studies using random-effects models.

RESULTS

We identified 108 studies including 24,631 probands with diverse clinical indications. The pooled diagnostic yield among within-cohort studies (N = 13) for GWS was 34.2% (95% CI: 27.6-41.5; I2: 86%) vs 18.1% (95% CI: 13.1-24.6; I2: 89%) for non-GWS, with 2.4-times odds of diagnosis (95% CI: 1.40-4.04; P < .05). The pooled diagnostic yield among within-cohort studies (N = 3) for GS was 30.6% (95% CI: 18.6-45.9; I2: 79%) vs 23.2% (95% CI: 18.5-28.7; I2: 58%) for ES, with 1.7-times the odds of diagnosis (95% CI: 0.94-2.92; P = .13). In first-line testing, the diagnostic yield tended to be higher for GS than for ES across clinical subgroups. The pooled clinical utility among patients with a positive diagnosis was 58.7% (95% CI: 47.3-69.2; I2: 81%) for GS and 54.5% (95% CI: 40.7-67.6; I2: 87%) for ES.

CONCLUSION

GS appears to have a higher diagnostic yield than ES, with similar clinical utility per positive diagnosis.

The "genetic test request": A genomic stewardship intervention for inpatient exome and genome orders at a tertiary pediatric hospital

PURPOSE

Exome sequencing (ES) and genome sequencing (GS) are useful tests to diagnose rare diseases in pediatric patients in critical care settings. Genomic test stewardship can increase the appropriate use of these tests leading to improved diagnostics and cost savings.

METHODS

A mandatory review of ES and GS orders for admitted patients was implemented in March 2023. Outcomes of the reviews, cost analysis, and subsequent test results through February 2024 were analyzed with descriptive statistics.

RESULTS

There were 444 genetic test request orders placed for 412 unique patients. Of these, 81 (18.2%) were redirected and 57 (12.8%) required modification after approval, leading to an overall cost savings of $345,821.00 or $778.88 per order. The combined diagnostic rate was 28.2% in this patient population.

CONCLUSION

Stewardship of ES/GS orders for pediatric inpatients is an effective tool to improve the appropriate usage of these genomic tests. Additional collaboration with stakeholders and expansion of genomic stewardship initiatives may shorten the diagnostic odyssey for critically ill pediatric patients and result in cost savings.

A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit

The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.

Exome and Genome Sequencing to Diagnose the Genetic Basis of Neonatal Hypotonia: An International Consortium Study

BACKGROUND AND OBJECTIVES

Hypotonia is a relatively common finding among infants in the neonatal intensive care unit (NICU). Consideration of genetic testing is recommended early in the care of infants with unexplained hypotonia. We aimed to assess the diagnostic yield and overall impact of exome and genome sequencing (ES and GS).

METHODS

Consecutive infants with hypotonia were identified from research and clinical databases across 5 teaching hospitals in United States, Canada, United Kingdom, and Australia. Inclusion criteria included NICU admission and genetic evaluation. Infants with a known explanation for hypotonia were excluded. Data regarding infant characteristics, genetic testing, and diagnoses were collected. The primary outcome was identification of a molecular diagnosis. Impact on care was a secondary outcome. The Fisher exact and Wilcoxon rank-sum tests were used for statistical analysis.

RESULTS

We identified 147 infants with unexplained hypotonia. The median gestational age was 39 weeks (interquartile range [IQR] 36-42 weeks), 77 (52%) were female, and the median age was 8 days at the time of evaluation (IQR 2-19 days). Eighty (54%) had hypotonia as the main clinical feature while 67 (46%) had additional multisystem involvement. Seventy-five (51%) underwent rapid ES, 44 (30%) rapid GS, 2 (1%) both ES and GS, and 26 (18%) were admitted before ES or GS became available. Of the 121 infants who underwent ES and/or GS, 72 (60%) had the primary outcome of a molecular diagnosis. In addition, 2 infants with mitochondrial genome variants were diagnosed by mitochondrial GS after negative ES, and one infant needed targeted testing to identify a short tandem repeat expansion missed by GS. The proportion diagnosed by ES and GS was not different between infants with hypotonia as the primary finding (37/56, 66%) and infants with multisystemic symptoms (35/65, 54%, odds ratio [OR] 1.7, CI 0.8-3.7, p value = 0.20). Testing was more likely to have an impact on care for infants receiving a genetic diagnosis (57/66 vs 14/33, OR 8.4, CI 2.9-26.1, p = 1.0E-05).

DISCUSSION

Rapid ES and GS provided a molecular diagnosis for most of the infants with unexplained hypotonia who underwent testing. Further studies are needed to assess the generalizability of these findings as increased access to genetic testing becomes available.

CLASSIFICATION OF EVIDENCE

This study provides Class IV evidence that in unexplained neonatal hypotonia, rapid ES or GS adds diagnostic specificity.

Integrative genetic analysis: cornerstone of precision psychiatry

The role of genetic testing in the domain of neurodevelopmental and psychiatric disorders (NPDs) is gradually changing from providing etiological explanation for the presence of NPD phenotypes to also identifying young individuals at high risk of developing NPDs before their clinical manifestation. In clinical practice, the latter implies a shift towards the availability of individual genetic information predicting a certain liability to develop an NPD (e.g., autism, intellectual disability, psychosis etc.). The shift from mostly a posteriori explanation to increasingly a priori risk prediction is the by-product of the systematic implementation of whole exome or genome sequencing as part of routine diagnostic work-ups during the neonatal and prenatal periods. This rapid uptake of genetic testing early in development has far-reaching consequences for psychiatry: Whereas until recently individuals would come to medical attention because of signs of abnormal developmental and/or behavioral symptoms, increasingly, individuals are presented based on genetic liability for NPD outcomes before NPD symptoms emerge. This novel clinical scenario, while challenging, also creates opportunities for research on prevention interventions and precision medicine approaches. Here, we review why optimization of individual risk prediction is a key prerequisite for precision medicine in the sphere of NPDs, as well as the technological and statistical methods required to achieve this ambition.

Interstitial lung disease in the newborn

Although relatively rare, interstitial lung diseases may present with respiratory distress in the newborn period. Most commonly these include developmental and growth disorders, disorders of surfactant synthesis and homeostasis, pulmonary interstitial glycogenosis, and neuroendocrine cell hyperplasia of infancy. Although the diagnosis of these disorders is sometimes made based on clinical presentation and imaging, due to the significant overlap between disorders and phenotypic variability, lung biopsy or, increasingly genetic testing is needed for diagnosis. These diseases may result in significant morbidity and mortality. Effective medical treatment options are in some cases limited and/or invasive. The genetic basis for some of these disorders has been identified, and with increased utilization of exome and whole genome sequencing even before lung biopsy, further insights into their genetic etiologies should become available.

Genome-based newborn screening for severe childhood genetic diseases has high positive predictive value and sensitivity in a NICU pilot trial

Large prospective clinical trials are underway or planned that examine the clinical utility and cost effectiveness of genome-based newborn screening (gNBS). One gNBS platform, BeginNGS, currently screens 53,575 variants for 412 severe childhood genetic diseases with 1,603 efficacious therapies. Retrospective evaluation of BeginNGS in 618,290 subjects suggests adequate sensitivity and positive predictive value (PPV) to proceed to prospective studies. To inform pivotal clinical trial design, we undertook a pilot clinical trial. We enrolled 120 infants in a regional neonatal intensive care unit (NICU) who were not under consideration for rapid diagnostic genome sequencing (RDGS). Each enrollee received BeginNGS and two index tests (California state NBS and RDGS). California NBS identified 4 of 4 true positive (TP) findings (TP rate 3.6%, sensitivity 100%) and 11 false positive (FP) findings (PPV 27%). RDGS identified 41 diagnostic findings in 36 neonates (diagnostic rate 30%). BeginNGS identified 5 of 6 on-target TP disorders (TP rate 4.2%, 95% confidence interval 1%-8%, sensitivity 83%) and no FPs (PPV 100%). Changes in management were anticipated following the return of 27 RDGS results in 25 enrollees (clinical utility [CU] 21%), 3 of 4 NBS TPs (CU 2.7%), and all BeginNGS TPs (CU 4.2%). The incidence of actionable genetic diseases in NICU infants not being considered for RDGS suggests (1) performance of RDGS in ∼20% of admissions misses many genetic diagnoses, (2) NICU enrollment in gNBS trials will greatly increase power to test endpoints, and (3) NICUs may be attractive for early implementation of consented BeginNGS screening.

Multidimensional and Longitudinal Impact of a Genetic Diagnosis for Critically Ill Infants

BACKGROUND AND OBJECTIVES

Many genetic conditions present in the NICU, where a diagnostic evaluation is pursued. However, understanding of the impact of a genetic diagnosis on clinical outcomes and health-related quality of life for these infants remains incomplete. We therefore evaluated parent-reported outcomes complemented by clinical outcomes measures over one year for a cohort of infants in the NICU undergoing genetic evaluation.

METHODS

Prospective cohort study evaluating outcomes after genetics consultation in a level IV NICU via parent report and electronic medical record review. Eligible infants were genetically undiagnosed at enrollment. Parent surveys were administered at baseline and 3, 6, and 12 months following enrollment and assessed genetic testing utility as well as parent-reported infant health-related quality of life using the Infant Toddler Quality of Life Questionnaire.

RESULTS

A total of 110 infant-parent pairs were enrolled. Infants had a median age at enrollment of 15 days (interquartile range 8-37.75). At baseline, 74% (81/110) of parents endorsed high importance of finding a genetic diagnosis, but perceived importance significantly decreased over time. Over the study period, 38 infants received a molecular diagnosis per parent report, although this was discordant with electronic medical record review. Identification of a diagnosis did not significantly impact health-related quality of life across most domains, which was lower overall than population norms.

CONCLUSIONS

A genetic diagnosis is highly desired by parents in the NICU, though waning interest over time for undiagnosed families may reflect parental emotional adaptation and acceptance. Additional supports are needed to improve perceived quality of life.

An integrated multi-omics approach allowed ultra-rapid diagnosis of a deep intronic pathogenic variant in PDHX and precision treatment in a neonate critically ill with lactic acidosis

The diagnosis of mitochondrial disorders is complex. Rapid whole genome sequencing is a first line test for critically ill neonates and infants allowing rapid diagnosis and treatment. Standard genomic technology and bioinformatic pipelines still have an incomplete diagnostic yield requiring complementary approaches. There are currently limited options for rapid additional tests to continue a diagnostic work-up after a negative rapid whole-genome sequencing result, reflecting a gap in clinical practice. Multi-modal integrative diagnostic approaches derived from systems biology including proteomics and transcriptomics show promise in suspected mitochondrial disorders. In this article, we report the case of a neonate who presented with severe lactic acidosis on the second day of life, for whom an initial report of ultra-rapid genome sequencing was negative. The patient was started on dichloroacetate as an emergency investigational new drug (eIND), with a sharp decline in lactic acid levels and clinical stabilization. A proteomics-based approach identified a complete absence of PDHX protein, leading to a re-review of the genome data for the PDHX gene in which a homozygous deep intronic pathogenic variant was identified. Subsequent testing in the following months confirmed the diagnosis with deficient pyruvate dehydrogenase enzyme activity, reduced protein levels of E3-binding protein, and confirmed by mRNA sequencing to lead to the inclusion of a cryptic exon and a premature stop codon. This case highlights the power of rapid proteomics in guiding genomic analysis. It also shows a promising role for dichloroacetate treatment in controlling lactic acidosis related to PDHX-related pyruvate dehydrogenase complex deficiency.

Novel, likely pathogenic variant in ATP7A associated with Menkes disease diagnosed with ultrarapid genome sequencing

Menkes disease is a multisystem disorder caused by disturbances in copper absorption and metabolism. This lethal neurodegenerative disease presents with fine, 'kinky' hair, connective tissue dysfunction and developmental regression after 2-3 months of age. The primary variant associated with Menkes is in the ATP7A gene with X-linked recessive inheritance. Historically, the diagnosis of Menkes has relied on clinical signs and symptoms, but as the disease has varying levels of severity and presentation, it can take months to diagnose and treat. Emerging technology for ultrarapid genome sequencing offers a DNA-based route of diagnosis with preliminary results in hours, allowing for earlier discovery and treatment of Menkes with the potential for better long-term outcomes. Ultrarapid whole genome sequencing identified a novel, likely pathogenic, frameshift variant in the ATP7A gene consistent with a diagnosis of Menkes disease. The clinical manifestations and pathophysiology of this disorder, as well as a rapid DNA-based diagnosis, are described in this case.

Considerations for applying emerging technologies in paediatric laboratory medicine

Emerging technology in laboratory medicine can be defined as an analytical method (including biomarkers) or device (software, applications, and algorithms) that by its stage of development, translation into broad routine clinical practice, or geographical adoption and implementation has the potential to add value to clinical diagnostics. Paediatric laboratory medicine itself may be considered an emerging area of specialisation that is established relatively recently following increased appreciation and understanding of the unique physiology and healthcare needs of the children. Through four clinical (neonatal hypoglycaemia, neonatal hyperbilirubinaemia, sickle cell disorder, congenital adrenal hyperplasia) and six technological (microassays, noninvasive testing, alternative matrices, next generation sequencing, exosome analysis, machine learning) illustrations, key takeaways of application of emerging technology for each area are summarised. Additionally, nine key considerations when applying emerging technology in paediatric laboratory medicine setting are discussed.

Genetic testing for diffuse lung diseases in children

Newly developing genomic technologies are an increasingly important part of clinical care and thus, it is not only important to understand the technologies and their limitations, but to also interpret the findings in an actionable fashion. Clinical geneticists and genetic counselors are now an integral part of the clinical team and are able to bridge the complexities of this rapidly changing science between the bedside clinicians and patients. This manuscript reviews the terminology, the current technology, some of the known genetic disorders that result in lung disease, and indications for genetic testing with associated caveats. Because this field is evolving quickly, we also provide links to websites that provide continuously updated information important for integrating genomic technology results into clinical decision-making.

Errors in genome sequencing result disclosures: A randomized controlled trial comparing neonatology non-genetics healthcare professionals and genetic counselors

PURPOSE

We compared the rate of errors in genome sequencing (GS) result disclosures by genetic counselors (GC) and trained non-genetics healthcare professionals (NGHPs) in SouthSeq, a randomized trial utilizing GS in critically ill infants.

METHODS

Over 400 recorded GS result disclosures were analyzed for major and minor errors. We used Fisher's exact test to compare error rates between GCs and NGHPs and performed a qualitative content analysis to characterize error themes.

RESULTS

Major errors were identified in 7.5% of disclosures by NGHPs and in no disclosures by GCs. Minor errors were identified in 32.1% of disclosures by NGHPs and in 11.4% of disclosures by GCs. Although most disclosures lacked errors, NGHPs were significantly more likely to make any error than GCs for all result types (positive, negative, or uncertain). Common major error themes include omission of critical information, overstating a negative result, and overinterpreting an uncertain result. The most common minor error was failing to disclose negative secondary findings.

CONCLUSION

Trained NGHPs made clinically significant errors in GS result disclosures. Characterizing common errors in result disclosure can illuminate gaps in education to inform the development of future genomics training and alternative service delivery models.

"It's hard to wait": Provider perspectives on current genomic care in safety-net NICUs

PURPOSE

Critically ill infants from marginalized populations disproportionately receive care in neonatal intensive care units (NICUs) that lack access to state-of-the-art genomic care, leading to inequitable outcomes. We sought provider perspectives to inform our implementation study (VIGOR) providing rapid genomic sequencing within these settings.

METHODS

We conducted semistructured focus groups with neonatal and genetics providers at 6 NICUs at safety-net hospitals, informed by the Promoting Action on Research Implementation in Health Services framework, which incorporates evidence, context, and facilitation domains. We iteratively developed codes and themes until thematic saturation was reached.

RESULTS

Regarding evidence, providers felt that genetic testing benefits infants and families. Regarding context, the major barriers identified to genomic care were genetic testing cost, lack of genetics expertise for disclosure and follow-up, and navigating the complexity of selecting and ordering genetic tests. Providers had negative feelings about the current status quo and inequity in genomic care across NICUs. Regarding facilitation, providers felt that a virtual support model such as VIGOR would address major barriers and foster family-centered care and collaboration.

CONCLUSION

NICU providers at safety-net hospitals believe that access to state-of-the-art genomic care is critical for optimizing infant outcomes; yet, substantial barriers exist that the VIGOR study may address.

Rapid Whole-Genome Sequencing and Clinical Management in the PICU: A Multicenter Cohort, 2016-2023

OBJECTIVES

Analysis of the clinical utility of rapid whole-genome sequencing (rWGS) outside of the neonatal period is lacking. We describe the use of rWGS in PICU and cardiovascular ICU (CICU) patients across four institutions.

DESIGN

Ambidirectional multisite cohort study.

SETTING

Four tertiary children's hospitals.

PATIENTS

Children 0-18 years old in the PICU or CICU who underwent rWGS analysis, from May 2016 to June 2023.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 133 patients underwent clinical, phenotype-driven rWGS analysis, 36 prospectively. A molecular diagnosis was identified in 79 patients (59%). Median (interquartile range [IQR]) age was 6 months (IQR 1.2 mo-4.6 yr). Median time for return of preliminary results was 3 days (IQR 2-4). In 79 patients with a molecular diagnosis, there was a change in ICU management in 19 patients (24%); and some change in clinical management in 63 patients (80%). Nondiagnosis changed management in 5 of 54 patients (9%). The clinical specialty ordering rWGS did not affect diagnostic rate. Factors associated with greater odds ratio (OR [95% CI]; OR [95% CI]) of diagnosis included dysmorphic features (OR 10.9 [95% CI, 1.8-105]) and congenital heart disease (OR 4.2 [95% CI, 1.3-16.8]). Variables associated with greater odds of changes in management included obtaining a genetic diagnosis (OR 16.6 [95% CI, 5.5-62]) and a shorter time to genetic result (OR 0.8 [95% CI, 0.76-0.9]). Surveys of pediatric intensivists indicated that rWGS-enhanced clinical prognostication ( p < 0.0001) and contributed to a decision to consult palliative care ( p < 0.02).

CONCLUSIONS

In this 2016-2023 multiple-PICU/CICU cohort, we have shown that timely genetic diagnosis is feasible across institutions. Application of rWGS had a 59% (95% CI, 51-67%) rate of diagnostic yield and was associated with changes in critical care management and long-term patient management.

A Machine Learning Decision Support Tool Optimizes Whole Genome Sequencing Utilization in a Neonatal Intensive Care Unit

The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the Neonatal Intensive Care Unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.

Multidimensional and Longitudinal Impact of a Genetic Diagnosis for Critically Ill Infants

Background and Objectives

Many genetic conditions present in the neonatal intensive care unit (NICU), where a diagnostic evaluation is pursued. However, understanding of the impact of a genetic diagnosis on clinical outcomes and health-related quality of life for these infants remains incomplete. We therefore evaluated parent-reported outcomes complemented by clinical outcomes measures over one year for a cohort of infants in the NICU undergoing genetic evaluation.

Methods

Prospective cohort study evaluating outcomes after genetics consultation in a level IV NICU via parent-report and electronic medical records (EMR) review. Eligible infants were genetically undiagnosed at enrollment. Parent surveys were administered at baseline and three, six-, and 12-months following enrollment and assessed genetic testing utility as well as parent-reported infant health-related quality of life using the Infant Toddler Quality of Life Questionnaire.

Results

110 infant-parent pairs were enrolled. Infants had a median age at enrollment of 15 days (interquartile range 8-37.75). At baseline, 74% (81/110) of parents endorsed high importance of finding a genetic diagnosis, but perceived importance significantly decreased over time. Over the study period, 38 infants received a molecular diagnosis per parent report, though this was discordant with EMR review. Identification of a diagnosis did not significantly impact health-related quality of life across most domains, which was lower overall than population norms.

Conclusions

A genetic diagnosis is highly desired by parents in the NICU, though waning interest over time for undiagnosed families may reflect parental emotional adaptation and acceptance. Additional supports are needed to improve perceived quality of life.

Clinical exome sequencing uncovers genetic disorders in neonates with suspected hypoxic-ischemic encephalopathy: A retrospective analysis

Hypoxic-ischemic encephalopathy (HIE) occurs in up to 7 out of 1000 births and accounts for almost a quarter of neonatal deaths worldwide. Despite the name, many newborns with HIE have little evidence of perinatal hypoxia. We hypothesized that some infants with HIE have genetic disorders that resemble encephalopathy. We reviewed genetic results for newborns with HIE undergoing exome or genome sequencing at a clinical laboratory (2014-2022). Neonates were included if they had a diagnosis of HIE and were delivered ≥35 weeks. Neonates were excluded for cardiopulmonary pathology resulting in hypoxemia or if neuroimaging suggested postnatal hypoxic-ischemic injury. Of 24 patients meeting inclusion criteria, six (25%) were diagnosed with a genetic condition. Four neonates had variants at loci linked to conditions with phenotypic features resembling HIE, including KIF1A, GBE1, ACTA1, and a 15q13.3 deletion. Two additional neonates had variants in genes not previously associated with encephalopathy, including DUOX2 and PTPN11. Of the six neonates with a molecular diagnosis, two had isolated HIE without apparent comorbidities to suggest a genetic disorder. Genetic diagnoses were identified among neonates with and without sentinel labor events, abnormal umbilical cord gasses, and low Apgar scores. These results suggest that genetic evaluation is clinically relevant for patients with perinatal HIE.

Genetic aetiologies of acute liver failure

Acute liver failure (ALF) is a rare, rapidly evolving, clinical syndrome with devastating consequences where definitive treatment is by emergency liver transplantation. Establishing a diagnosis can be challenging and, historically, the cause of ALF was unidentified in up to half of children. However, recent technological and clinical advances in genomic medicine have led to an increasing proportion being diagnosed with monogenic aetiologies of ALF. The conditions encountered include a diverse group of inherited metabolic disorders each with prognostic and treatment implications. Often these disorders are clinically indistinguishable and may even mimic disorders of immune regulation or red cell disorders. Rapid genomic sequencing for children with ALF is, therefore, a key component in the diagnostic work up today. This review focuses on the monogenic aetiologies of ALF.

NeoGx: Machine-Recommended Rapid Genome Sequencing for Neonates

Background

Genetic disease is common in the Level IV Neonatal Intensive Care Unit (NICU), but neonatology providers are not always able to identify the need for genetic evaluation. We trained a machine learning (ML) algorithm to predict the need for genetic testing within the first 18 months of life using health record phenotypes.

Methods

For a decade of NICU patients, we extracted Human Phenotype Ontology (HPO) terms from clinical text with Natural Language Processing tools. Considering multiple feature sets, classifier architectures, and hyperparameters, we selected a classifier and made predictions on a validation cohort of 2,241 Level IV NICU admits born 2020-2021.

Results

Our classifier had ROC AUC of 0.87 and PR AUC of 0.73 when making predictions during the first week in the Level IV NICU. We simulated testing policies under which subjects begin testing at the time of first ML prediction, estimating diagnostic odyssey length both with and without the additional benefit of pursuing rGS at this time. Just by using ML to accelerate initial genetic testing (without changing the tests ordered), the median time to first genetic test dropped from 10 days to 1 day, and the number of diagnostic odysseys resolved within 14 days of NICU admission increased by a factor of 1.8. By additionally requiring rGS at the time of positive ML prediction, the number of diagnostic odysseys resolved within 14 days was 3.8 times higher than the baseline.

Conclusions

ML predictions of genetic testing need, together with the application of the right rapid testing modality, can help providers accelerate genetics evaluation and bring about earlier and better outcomes for patients.

Time to diagnosis in rapid exome/genome sequencing in the clinical inpatient setting

Exome and genome sequencing are clinically available, with many laboratories offering expedited testing (e.g., "rapid" and "ultra-rapid"). With the increase in uptake of expedited testing, there is a need for the development of inpatient protocols for best practices based on real-life data. A retrospective 2-year review (October 2019-November 2021) of the utilization of rapid exome and genome sequencing for inpatient cases at a tertiary care center using a utilization management tracking database with subsequent chart review was performed. Thirty-three expedited "rapid/priority" exome/genome tests were performed clinically. The average total turnaround time (TAT) was 17.88 days (5-43 days) with an average TAT of 13.97 days (3-41 days) for the performing laboratory. There were 5 positive diagnostic results (15.2%), 3 likely positive diagnostic results (9%), 2 noncontributory results (6%), and 26 nondiagnostic results (69.7%). Real-life data suggest that there is an approximately 3.91-day lag in getting samples to the performing laboratory. Although laboratories may advertise their expected TAT, a number of factors can potentially impact the actual time from test order placement to communication of the results for clinical use. Understanding the points of delay will enable the development of internal protocols and policies to improve time to diagnosis.

A systematic review of the assessment of the clinical utility of genomic sequencing: Implications of the lack of standard definitions and measures of clinical utility

PURPOSE

Exome sequencing (ES) and genome sequencing (GS) are diagnostic tests for rare genetic diseases. Studies report clinical utility of ES/GS. The goal of this systematic review is to establish how clinical utility is defined and measured in studies evaluating the impacts of ES/GS results for pediatric patients.

METHODS

Relevant articles were identified in PubMed, Medline, Embase, and Web of Science. Eligible studies assessed clinical utility of ES/GS for pediatric patients published before 2021. Other relevant articles were added based on articles' references. Articles were coded to assess definitions and measures of clinical utility.

RESULTS

Of 1346 articles, 83 articles met eligibility criteria. Clinical utility was not clearly defined in 19% of studies and 92% did not use an explicit measure of clinical utility. When present, definitions of clinical utility diverged from recommended definitions and varied greatly, from narrow (diagnostic yield of ES/GS) to broad (including decisions about withdrawal of care/palliative care and/or impacts on other family members).

CONCLUSION

Clinical utility is used to guide policy and practice decisions about test use. The lack of a standard definition of clinical utility of ES/GS may lead to under- or overestimations of clinical utility, complicating policymaking and raising ethical issues.

Ethical and Legal Issues Surrounding Genetic Testing in the NICU

Clinicians practicing in a modern NICU are noticing an increase in the proportion of patients who undergo genetic testing as well as changes in the types of genetic testing patients receive. These trends are not surprising given the increasing recognition of the genetic causes of neonatal illness and recent advances in genetic technology. Yet, the expansion of genetic testing in the NICU also raises a number of ethical questions. In this article, we will review the ethical issues raised by genetic testing, with a focus on the practical implications for neonatologists. First, we outline the complexities of measuring benefit, or utility, for neonatal genetic testing. Next, we discuss potential harms such as inequity, unexpected findings, disability biases, and legal risks. Finally, we conclude with a discussion of ethical issues related to consent for genetic testing. Throughout this article, we highlight solutions to challenges toward the ultimate goal of minimizing harms and maximizing the substantial potential benefits of genetic medicine in the NICU.

A Practical Guide to Whole Genome Sequencing in the NICU

The neonatal period is a peak time for the presentation of genetic disorders that can be diagnosed using whole genome sequencing (WGS). While any one genetic disorder is individually rare, they collectively contribute to significant morbidity, mortality, and health-care costs. As the cost of WGS continues to decline and becomes increasingly available, the ordering of rapid WGS for NICU patients with signs or symptoms of an underlying genetic condition is now feasible. However, many neonatal clinicians are not comfortable with the testing, and unfortunately, there is a dearth of geneticists to facilitate testing for every patient that needs it. Here, we will review the science behind WGS, diagnostic capabilities, limitations of testing, time to consider testing, test initiation, interpretation of results, developing a plan of care that incorporates genomic information, and returning WGS results to families.

Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review

Single locus (Mendelian) diseases are a leading cause of childhood hospitalization, intensive care unit (ICU) admission, mortality, and healthcare cost. Rapid genome sequencing (RGS), ultra-rapid genome sequencing (URGS), and rapid exome sequencing (RES) are diagnostic tests for genetic diseases for ICU patients. In 44 studies of children in ICUs with diseases of unknown etiology, 37% received a genetic diagnosis, 26% had consequent changes in management, and net healthcare costs were reduced by $14,265 per child tested by URGS, RGS, or RES. URGS outperformed RGS and RES with faster time to diagnosis, and higher rate of diagnosis and clinical utility. Diagnostic and clinical outcomes will improve as methods evolve, costs decrease, and testing is implemented within precision medicine delivery systems attuned to ICU needs. URGS, RGS, and RES are currently performed in <5% of the ~200,000 children likely to benefit annually due to lack of payor coverage, inadequate reimbursement, hospital policies, hospitalist unfamiliarity, under-recognition of possible genetic diseases, and current formatting as tests rather than as a rapid precision medicine delivery system. The gap between actual and optimal outcomes in children in ICUs is currently increasing since expanded use of URGS, RGS, and RES lags growth in those likely to benefit through new therapies. There is sufficient evidence to conclude that URGS, RGS, or RES should be considered in all children with diseases of uncertain etiology at ICU admission. Minimally, diagnostic URGS, RGS, or RES should be ordered early during admissions of critically ill infants and children with suspected genetic diseases.

Evidence review and considerations for use of first line genome sequencing to diagnose rare genetic disorders

Early use of genome sequencing (GS) in the diagnostic odyssey can reduce suffering and improve care, but questions remain about which patient populations are most amenable to GS as a first-line diagnostic test. To address this, the Medical Genome Initiative conducted a literature review to identify appropriate clinical indications for GS. Studies published from January 2011 to August 2022 that reported on the diagnostic yield (DY) or clinical utility of GS were included. An exploratory meta-analysis using a random effects model evaluated DY based on cohort size and diagnosed cases per cohort. Seventy-one studies met inclusion criteria, comprising over 13,000 patients who received GS in one of the following settings: hospitalized pediatric patients, pediatric outpatients, adult outpatients, or mixed. GS was the first-line test in 38% (27/71). The unweighted mean DY of first-line GS was 45% (12-73%), 33% (6-86%) in cohorts with prior genetic testing, and 33% (9-60%) in exome-negative cohorts. Clinical utility was reported in 81% of first-line GS studies in hospitalized pediatric patients. Changes in management varied by cohort and underlying molecular diagnosis (24-100%). To develop evidence-informed points to consider, the quality of all 71 studies was assessed using modified American College of Radiology (ACR) criteria, with five core points to consider developed, including recommendations for use of GS in the N/PICU, in lieu of sequential testing and when disorders with substantial allelic heterogeneity are suspected. Future large and controlled studies in the pediatric and adult populations may support further refinement of these recommendations.

3-hour genome sequencing and targeted analysis to rapidly assess genetic risk

Purpose

Rapid genetic testing in the critical care setting may guide diagnostic evaluation, direct therapies, and help families and care providers make informed decisions about goals of care. We tested whether a simplified DNA extraction and library preparation process would enable us to perform ultra-rapid assessment of genetic risk for a Mendelian condition, based on information from an affected sibling, using long-read genome sequencing and targeted analysis.

Methods

Following extraction of DNA from cord blood and rapid library preparation, genome sequencing was performed on an Oxford Nanopore PromethION. FASTQ files were generated from original sequencing data in near real-time and aligned to a reference genome. Variant calling and analysis were performed at timed intervals.

Results

We optimized the DNA extraction and library preparation methods to create sufficient library for sequencing from 500 μL of blood. Real-time, targeted analysis was performed to determine that the newborn was neither affected nor a heterozygote for variants underlying a Mendelian condition. Phasing of the target region and prior knowledge of the affected haplotypes supported our interpretation despite a low level of coverage at 3 hours of life.

Conclusion

This proof-of-concept experiment demonstrates how prior knowledge of haplotype structure or familial variants can be used to rapidly evaluate an individual at risk for a genetic disease. While ultra-rapid sequencing remains both complex and cost prohibitive, our method is more easily automated than prior approaches and uses smaller volumes of blood, thus may be more easily adopted for future studies of ultra-rapid genome sequencing in the clinical setting.

Multi-center implementation of rapid whole genome sequencing provides additional evidence of its utility in the pediatric inpatient setting

Objective

Multi-center implementation of rapid whole genome sequencing with assessment of the clinical utility of rapid whole genome sequencing (rWGS), including positive, negative and uncertain results, in admitted infants with a suspected genetic disease.

Study design

rWGS tests were ordered at eight hospitals between November 2017 and April 2020. Investigators completed a survey of demographic data, Human Phenotype Ontology (HPO) terms, test results and impacts of results on clinical care.

Results

A total of 188 patients, on general hospital floors and intensive care unit (ICU) settings, underwent rWGS testing. Racial and ethnic characteristics of the tested infants were broadly representative of births in the country at large. 35% of infants received a diagnostic result in a median of 6 days. The most common HPO terms for tested infants indicated an abnormality of the nervous system, followed by the cardiovascular system, the digestive system, the respiratory system and the head and neck. Providers indicated a major change in clinical management because of rWGS for 32% of infants tested overall and 70% of those with a diagnostic result. Also, 7% of infants with a negative rWGS result and 23% with a variant of unknown significance (VUS) had a major change in management due to testing.

Conclusions

Our study demonstrates that the implementation of rWGS is feasible across diverse institutions, and provides additional evidence to support the clinical utility of rWGS in a demographically representative sample of admitted infants and includes assessment of the clinical impact of uncertain rWGS results in addition to both positive and negative results.

Implementation of rapid genomic sequencing in safety-net neonatal intensive care units: protocol for the VIrtual GenOme CenteR (VIGOR) proof-of-concept study

INTRODUCTION

Rapid genomic sequencing (rGS) in critically ill infants with suspected genetic disorders has high diagnostic and clinical utility. However, rGS has primarily been available at large referral centres with the resources and expertise to offer state-of-the-art genomic care. Critically ill infants from racial and ethnic minority and/or low-income populations disproportionately receive care in safety-net and/or community settings lacking access to state-of-the-art genomic care, contributing to unacceptable health equity gaps. VIrtual GenOme CenteR is a 'proof-of-concept' implementation science study of an innovative delivery model for genomic care in safety-net neonatal intensive care units (NICUs).

METHODS AND ANALYSIS

We developed a virtual genome centre at a referral centre to remotely support safety-net NICU sites predominantly serving racial and ethnic minority and/or low-income populations and have limited to no access to rGS. Neonatal providers at each site receive basic education about genomic medicine from the study team and identify eligible infants. The study team enrols eligible infants (goal n of 250) and their parents and follows families for 12 months. Enrolled infants receive rGS, the study team creates clinical interpretive reports to guide neonatal providers on interpreting results, and neonatal providers return results to families. Data is collected via (1) medical record abstraction, (2) surveys, interviews and focus groups with neonatal providers and (3) surveys and interviews with families. We aim to examine comprehensive implementation outcomes based on the Proctor Implementation Framework using a mixed methods approach.

ETHICS AND DISSEMINATION

This study is approved by the institutional review board of Boston Children's Hospital (IRB-P00040496) and participating sites. Participating families are required to provide electronic written informed consent and neonatal provider consent is implied through the completion of surveys. The results will be disseminated via peer-reviewed publications and data will be made accessible per National Institutes of Health (NIH) policies.

TRIAL REGISTRATION NUMBER

NCT05205356/clinicaltrials.gov.

Clinical utility of early rapid genome sequencing in the evaluation of patients with differences of sex development

Establishing an early and accurate genetic diagnosis among patients with differences of sex development (DSD) is crucial in guiding the complex medical and psychosocial care they require. Genetic testing routinely utilized in clinical practice for this population is predicated upon physical exam findings and biochemical and endocrine profiling. This approach, however, is inefficient and unstandardized. Many patients with DSD, particularly those with 46,XY DSD, never receive a molecular genetic diagnosis. Rapid genome sequencing (rGS) is gaining momentum as a first-tier diagnostic instrument in the evaluation of patients with DSD given its ability to provide greater diagnostic yield and timely results. We present the case of a patient with nonbinary genitalia and systemic findings for whom rGS identified a novel variant of the WT1 gene and resulted in a molecular diagnosis within two weeks of life. This timeframe of diagnosis for syndromic DSD is largely unprecedented at our institution. Rapid GS expedited mobilization of a multidisciplinary medical team; enabled early understanding of clinical trajectory; informed planning of medical and surgical interventions; and guided individualized psychosocial support provided to the family. This case highlights the potential of early rGS in transforming the evaluation and care of patients with DSD.

Incremental yield of whole-genome sequencing over chromosomal microarray analysis and exome sequencing for congenital anomalies in prenatal period and infancy: systematic review and meta-analysis

OBJECTIVES

First, to determine the incremental yield of whole-genome sequencing (WGS) over quantitative fluorescence polymerase chain reaction (QF-PCR)/chromosomal microarray analysis (CMA) with and without exome sequencing (ES) in fetuses, neonates and infants with a congenital anomaly that was or could have been detected on prenatal ultrasound. Second, to evaluate the turnaround time (TAT) and quantity of DNA required for testing using these pathways.

METHODS

This review was registered prospectively in December 2022. Ovid MEDLINE, EMBASE, MEDLINE (Web of Science), The Cochrane Library and ClinicalTrials.gov databases were searched electronically (January 2010 to December 2022). Inclusion criteria were cohort studies including three or more fetuses, neonates or infants with (i) one or more congenital anomalies; (ii) an anomaly which was or would have been detectable on prenatal ultrasound; and (iii) negative QF-PCR and CMA. In instances in which the CMA result was unavailable, all cases of causative pathogenic copy number variants > 50 kb were excluded, as these would have been detectable on standard prenatal CMA. Pooled incremental yield was determined using a random-effects model and heterogeneity was assessed using Higgins' I2 test. Subanalyses were performed based on pre- or postnatal cohorts, cases with multisystem anomalies and those meeting the NHS England prenatal ES inclusion criteria.

RESULTS

A total of 18 studies incorporating 902 eligible cases were included, of which eight (44.4%) studies focused on prenatal cohorts, incorporating 755 cases, and the remaining studies focused on fetuses undergoing postmortem testing or neonates/infants with congenital structural anomalies, constituting the postnatal cohort. The incremental yield of WGS over QF-PCR/CMA was 26% (95% CI, 18-36%) (I2  = 86%), 16% (95% CI, 9-24%) (I2  = 85%) and 39% (95% CI, 27-51%) (I2  = 53%) for all, prenatal and postnatal cases, respectively. The incremental yield increased in cases in which sequencing was performed in line with the NHS England prenatal ES criteria (32% (95% CI, 22-42%); I2  = 70%) and in those with multisystem anomalies (30% (95% CI, 19-43%); I2  = 65%). The incremental yield of WGS for variants of uncertain significance (VUS) was 18% (95% CI, 7-33%) (I2  = 74%). The incremental yield of WGS over QF-PCR/CMA and ES was 1% (95% CI, 0-4%) (I2  = 47%). The pooled median TAT of WGS was 18 (range, 1-912) days, and the quantity of DNA required was 100 ± 0 ng for WGS and 350 ± 50 ng for QF-PCR/CMA and ES (P = 0.03).

CONCLUSION

While WGS in cases with congenital anomaly holds great promise, its incremental yield over ES is yet to be demonstrated. However, the laboratory pathway for WGS requires less DNA with a potentially faster TAT compared with sequential QF-PCR/CMA and ES. There was a relatively high rate of VUS using WGS. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Current Practices for Genetic Testing in Neonatal Extracorporeal Membrane Oxygenation: Findings from a National survey

Introduction: Comprehensive genetic testing with whole-exome (WES) or whole-genome (WGS) sequencing facilitates diagnosis, can optimize treatment, and may improve outcomes in critically ill neonates, including those requiring extracorporeal membrane oxygenation (ECMO) for respiratory failure. Our objective was to describe practice variation and barriers to the utilization of comprehensive genetic testing for neonates on ECMO.Methods: We performed a cross-sectional survey of Level IV neonatal intensive care units in the United States across the Children's Hospitals Neonatal Consortium (CHNC).Results: Common indications for WES and WGS included concerning phenotype, severity of disease, unexpected postnatal clinical course, and inability to wean from ECMO support. Unexpected severity of disease on ECMO was the most common indication for rapid genetic testing. Cost of utilization was the primary barrier to testing. If rapid WES or WGS were readily available, 63% of centers would consider incorporating universal screening for neonates upon ECMO cannulation.Conclusion: Despite variation in the use of WES and WGS, universal testing may offer earlier diagnosis and influence the treatment course among neonates on ECMO. Cost is the primary barrier to utilization and most centers would consider incorporating universal screening on ECMO if readily available.

Genetic counselling considerations with genetic/genomic testing in Neonatal and Pediatric Intensive Care Units: A scoping review

Genetic and genomic technologies can effectively diagnose numerous genetic disorders. Patients benefit when genetic counselling accompanies genetic testing and international guidelines recommend pre- and post-test genetic counselling with genome-wide sequencing. However, there is a gap in knowledge regarding the unique genetic counselling considerations with different types of genetic testing in the Neonatal Intensive Care Unit (NICU) and the Pediatric Intensive Care Unit (PICU). This scoping review was conducted to identify the gaps in care with respect to genetic counselling for infants/pediatric patients undergoing genetic and genomic testing in NICUs and PICUs and understand areas in need of improvement in order to optimize clinical care for patients, caregivers, and healthcare providers. Five databases (MEDLINE [Ovid], Embase [Ovid], PsycINFO [Ebsco], CENTRAL [Ovid], and CINHAL [Ebsco]) and grey literature were searched. A total of 170 studies were included and used for data extraction and analysis. This scoping review includes descriptive analysis, followed by a narrative account of the extracted data. Results were divided into three groups: pre-test, post-test, and comprehensive (both pre- and post-test) genetic counselling considerations based on indication for testing. More studies were conducted in the NICU than the PICU. Comprehensive genetic counselling was discussed in only 31% of all the included studies demonstrating the need for both pre-test and post-test genetic counselling for different clinical indications in addition to the need to account for different cultural aspects based on ethnicity and geographic factors.

The future of commercial genetic testing

PURPOSE OF REVIEW

There are thousands of different clinical genetic tests currently available. Genetic testing and its applications continue to change rapidly for multiple reasons. These reasons include technological advances, accruing evidence about the impact and effects of testing, and many complex financial and regulatory factors.

RECENT FINDINGS

This article considers a number of key issues and axes related to the current and future state of clinical genetic testing, including targeted versus broad testing, simple/Mendelian versus polygenic and multifactorial testing models, genetic testing for individuals with high suspicion of genetic conditions versus ascertainment through population screening, the rise of artificial intelligence in multiple aspects of the genetic testing process, and how developments such as rapid genetic testing and the growing availability of new therapies for genetic conditions may affect the field.

SUMMARY

Genetic testing is expanding and evolving, including into new clinical applications. Developments in the field of genetics will likely result in genetic testing becoming increasingly in the purview of a very broad range of clinicians, including general paediatricians as well as paediatric subspecialists.

Genomic medicine in neonatal care: progress and challenges

During the neonatal period, many genetic disorders present and contribute to neonatal morbidity and mortality. Genomic medicine-the use of genomic information in clinical care- has the potential to significantly reduce morbidity and mortality in the neonatal period and improve outcomes for this population. Diagnostic genomic testing for symptomatic newborns, especially rapid testing, has been shown to be feasible and have diagnostic and clinical utility, particularly in the short-term. Ongoing studies are assessing the feasibility and utility, including personal utility, of implementation in diverse populations. Genomic screening for asymptomatic newborns has also been studied, and the acceptability and feasibility of such an approach remains an active area of investigation. Emerging precision therapies, with examples even at the "n-of-1" level, highlight the promise of precision diagnostics to lead to early intervention and improve outcomes. To sustainably implement genomic medicine in neonatal care in an ethical, effective, and equitable manner, we need to ensure access to genetics and genomics knowledge, access to genomic tests, which is currently limited by payors, feasible processes for ordering these tests, and access to follow up in the clinical and research realms. Future studies will provide further insight into enablers and barriers to optimize implementation strategies.

Collaborative efforts to improve genetic testing in the neonatal intensive care unit

OBJECTIVE

To reduce unnecessary simultaneous karyotype analysis and chromosomal microarray (CMA) testing in the neonatal intensive care unit (NICU).

STUDY DESIGN

This quality improvement study investigated the effect of collaborative efforts between the NICU, cytogenetics, and clinical genetics on numbers of genetic tests, rates of abnormal tests, and number of genetics consults comparing baseline and 5-month intervention periods.

RESULTS

Simultaneous karyotype analyses and CMAs decreased due to a decrease in karyotype testing (11.3% [68/600] vs. 0.98% [6/614], p < 0.01). Karyotype analyses were more likely to be abnormal (13.8% [12/87] vs. 64.0% [16/25], p < 0.01). Frequency of genetics consultation did not change (7.0% [42/600] vs. 9.4% [58/614], p = 0.12).

CONCLUSION

Collaborative efforts between the NICU, cytogenetics, and clinical genetics decreased redundant genetic testing, which demonstrated potential cost savings to our institution. Ongoing collaborative efforts could facilitate genetic testing practices in the NICU that readily evolve in tandem with genetic testing recommendations.

Provision and availability of genomic medicine services in Level IV neonatal intensive care units

PURPOSE

To describe variation in genomic medicine services across level IV neonatal intensive care units (NICUs) in the United States and Canada.

METHODS

We developed and distributed a novel survey to the 43 level IV NICUs belonging to the Children's Hospitals Neonatal Consortium, requesting a single response per site from a clinician with knowledge of the provision of genomic medicine services.

RESULTS

Overall response rate was 74% (32/43). Although chromosomal microarray and exome or genome sequencing (ES or GS) were universally available, access was restricted for 22% (7/32) and 81% (26/32) of centers, respectively. The most common restriction on ES or GS was requiring approval by a specialist (41%, 13/32). Rapid ES/GS was available in 69% of NICUs (22/32). Availability of same-day genetics consultative services was limited (41%, 13/32 sites), and pre- and post-test counseling practices varied widely.

CONCLUSION

We observed large inter-center variation in genomic medicine services across level IV NICUs: most notably, access to rapid, comprehensive genetic testing in time frames relevant to critical care decision making was limited at many level IV Children's Hospitals Neonatal Consortium NICUs despite a significant burden of genetic disease. Further efforts are needed to improve access to neonatal genomic medicine services.

Precision medicine in rare diseases: What is next?

Molecular diagnostics is a cornerstone of modern precision medicine, broadly understood as tailoring an individual's treatment, follow-up, and care based on molecular data. In rare diseases (RDs), molecular diagnoses reveal valuable information about the cause of symptoms, disease progression, familial risk, and in certain cases, unlock access to targeted therapies. Due to decreasing DNA sequencing costs, genome sequencing (GS) is emerging as the primary method for precision diagnostics in RDs. Several ongoing European initiatives for precision medicine have chosen GS as their method of choice. Recent research supports the role for GS as first-line genetic investigation in individuals with suspected RD, due to its improved diagnostic yield compared to other methods. Moreover, GS can detect a broad range of genetic aberrations including those in noncoding regions, producing comprehensive data that can be periodically reanalyzed for years to come when further evidence emerges. Indeed, targeted drug development and repurposing of medicines can be accelerated as more individuals with RDs receive a molecular diagnosis. Multidisciplinary teams in which clinical specialists collaborate with geneticists, genomics education of professionals and the public, and dialogue with patient advocacy groups are essential elements for the integration of precision medicine into clinical practice worldwide. It is also paramount that large research projects share genetic data and leverage novel technologies to fully diagnose individuals with RDs. In conclusion, GS increases diagnostic yields and is a crucial step toward precision medicine for RDs. Its clinical implementation will enable better patient management, unlock targeted therapies, and guide the development of innovative treatments.

Characteristics, Genetic Testing, and Diagnoses of Infants with Neonatal Encephalopathy Not Due to Hypoxic Ischemic Encephalopathy: A Cohort Study

OBJECTIVE

To characterize the presentation and evaluation of infants with neonatal encephalopathy (NE) not due to hypoxic-ischemic encephalopathy (non-HIE NE) and to describe the genetic abnormalities identified.

STUDY DESIGN

Retrospective cohort study of 193 non-HIE NE neonates admitted to a level IV NICU from 2015 through 2019. For changes in testing over time, Cochrane-Armitage test for trend was used with a Bonferroni-corrected P-value, and comparison between groups was performed using Fisher exact test.

RESULT

The most common symptom of non-HIE NE was abnormal tone in 47% (90/193). Ten percent (19/193) died prior to discharge, and 48% of survivors (83/174) required medical equipment at discharge. Forty percent (77/193) underwent genetic testing as an inpatient. Of 52 chromosomal studies, 54 targeted tests, and 16 exome sequences, 10%, 41%, and 69% were diagnostic, respectively, with no difference in diagnostic rates between infants with and without an associated congenital anomaly and/or dysmorphic feature. Twenty-eight genetic diagnoses were identified.

CONCLUSIONS

Neonates with non-HIE NE have high rates of morbidity and mortality and may benefit from early genetic testing, even in the absence of other exam findings. This study broadens our knowledge of genetic conditions underlying non-HIE NE, which may enable families and care teams to anticipate the needs of the individual, allow early initiation of targeted therapies, and facilitate decisions surrounding goals of care.

Whole genome sequencing vs chromosomal microarray analysis in prenatal diagnosis

BACKGROUND

Emerging studies suggest that whole genome sequencing provides additional diagnostic yield of genomic variants when compared with chromosomal microarray analysis in the etiologic diagnosis of infants and children with suspected genetic diseases. However, the application and evaluation of whole genome sequencing in prenatal diagnosis remain limited.

OBJECTIVE

This study aimed to evaluate the accuracy, efficacy, and incremental yield of whole genome sequencing in comparison with chromosomal microarray analysis for routine prenatal diagnosis.

STUDY DESIGN

In this prospective study, a total of 185 unselected singleton fetuses with ultrasound-detected structural anomalies were enrolled. In parallel, each sample was subjected to whole genome sequencing and chromosomal microarray analysis. Aneuploidies and copy number variations were detected and analyzed in a blinded fashion. Single nucleotide variations and insertions and deletions were confirmed by Sanger sequencing, and trinucleotide repeats expansion variants were verified using polymerase chain reaction plus fragment-length analysis.

RESULTS

Overall, genetic diagnoses using whole genome sequencing were obtained for 28 (15.1%) cases. Whole genome sequencing not only detected all these aneuploidies and copy number variations in the 20 (10.8%) diagnosed cases identified by chromosomal microarray analysis, but also detected 1 case with an exonic deletion of COL4A2 and 7 (3.8%) cases with single nucleotide variations or insertions and deletions. In addition, 3 incidental findings were detected including an expansion of the trinucleotide repeat in ATXN3, a splice-sites variant in ATRX, and an ANXA11 missense mutation in a case of trisomy 21.

CONCLUSION

Compared with chromosomal microarray analysis, whole genome sequencing increased the additional detection rate by 5.9% (11/185). Using whole genome sequencing, we detected not only aneuploidies and copy number variations, but also single nucleotide variations and insertions and deletions, trinucleotide repeat expansions, and exonic copy number variations with high accuracy in an acceptable turnaround time (3-4 weeks). Our results suggest that whole genome sequencing has the potential to be a new promising prenatal diagnostic test for fetal structural anomalies.

Meta-analysis of the diagnostic and clinical utility of exome and genome sequencing in pediatric and adult patients with rare diseases across diverse populations

PURPOSE

This meta-analysis aims to compare the diagnostic and clinical utility of exome sequencing (ES) vs genome sequencing (GS) in pediatric and adult patients with rare diseases across diverse populations.

METHODS

A meta-analysis was conducted to identify studies from 2011 to 2021.

RESULTS

One hundred sixty-one studies across 31 countries/regions were eligible, featuring 50,417 probands of diverse populations. Diagnostic rates of ES (0.38, 95% CI 0.36-0.40) and GS (0.34, 95% CI 0.30-0.38) were similar (P = .1). Within-cohort comparison illustrated 1.2-times odds of diagnosis by GS over ES (95% CI 0.79-1.83, P = .38). GS studies discovered a higher range of novel genes than ES studies; yet, the rate of variant of unknown significance did not differ (P = .78). Among high-quality studies, clinical utility of GS (0.77, 95% CI 0.64-0.90) was higher than that of ES (0.44, 95% CI 0.30-0.58) (P < .01).

CONCLUSION

This meta-analysis provides an important update to demonstrate the similar diagnostic rates between ES and GS and the higher clinical utility of GS over ES. With the newly published recommendations for clinical interpretation of variants found in noncoding regions of the genome and the trend of decreasing variant of unknown significance and GS cost, it is expected that GS will be more widely used in clinical settings.