A genome sequencing system for universal newborn screening, diagnosis, and precision medicine for severe genetic diseases

Early-Onset Inherited Metabolic Diseases: When Clinical Symptoms Precede Newborn Screening-Insights from Emilia-Romagna (Italy)

BACKGROUND

Expanded Newborn Screening (ENS) allows the early identification of many inherited metabolic diseases (IMDs) for which timely treatment can modify the natural history. For most IMDs, diagnosis by ENS is pre-clinical. However, clinical symptoms may emerge for certain conditions before screening results become available.

METHODS

We describe six cases of patients with early-onset IMDs born between 2013 and 2023, who were admitted or transferred to Sant'Orsola University Hospital in Bologna (Italy).

RESULTS

Over the study period, 379,013 newborns underwent ENS in the Italian region of Emilia-Romagna. Excluding cases of congenital hypothyroidism, pre-clinical diagnoses from ENS were 410. In addition, six cases of IMD presented with early-onset clinical symptomatology, an antecedent to the outcome of newborn screening (incidence over 11 years of 1.58 cases per 100,000 infants). Among these patients, three were diagnosed with Urea Cycle Disorders (UCDs)-two with Citrullinemia type I (CIT1) and one with Argininosuccinic Acidemia (ASA); two were diagnosed with Methylmalonic Acidemia (MMA); and one was found to have Medium-Chain Acyl-CoA Dehydrogenase Deficiency (MCADD).

CONCLUSIONS

Our 11-year experience with ENS has shown that clinical onset can occur between the second and fourth day of life, though rare. Even if dried blood spot (DBS) collection was performed 24-48 h after birth, the time required for sample transportation and processing would still delay result availability, making early intervention unlikely. Therefore, our experience supports performing ENS at 48-72 h, as currently implemented in Italy, while also highlighting the advantages and limitations of earlier screening.

Preferences of parents from diverse backgrounds on genomic screening of apparently healthy newborns

Genomic sequencing has been proposed as a strategy to expand newborn screening. Perspectives on genomic newborn screening from parents of diverse racial, ethnic, and socioeconomic backgrounds are needed to shape equitable implementation of this modality. We conducted 20 semi-structured interviews (15 English, 5 Spanish) and seven focus groups (4 English, 3 Spanish) with parents from diverse backgrounds to assess their perspectives regarding which disorders and variants might be screened, data privacy, and barriers to pursuing specialized care. Parents felt that genomic newborn screening would provide them with improved understanding of their children's health and had the potential to yield health and personal benefits. Themes that became evident included: interest in childhood and family health risks, the value of emotional preparation and personal planning, understanding of uncertain and low-risk results, concerns regarding data privacy, and concerns about support following the receipt of a positive newborn screening result. The expected benefits and concerns expressed by parents of diverse backgrounds regarding genomic newborn screening should guide future policy decisions. Their preferences should be considered prior to the implementation of large-scale genomic newborn screening programs.

Population-based, first-tier genomic newborn screening in the maternity ward

The rapid development of therapies for severe and rare genetic conditions underlines the need to incorporate first-tier genetic testing into newborn screening (NBS) programs. A workflow was developed to screen newborns for 165 treatable pediatric disorders by deep sequencing of regions of interest in 405 genes. The prospective observational BabyDetect pilot project was launched in September 2022 in a maternity ward of a public hospital in the Liege area, Belgium. In this ongoing observational study, 4,260 families have been informed of the project, and 3,847 consented to participate. To date, 71 disease cases have been identified, 30 of which were not detected by conventional NBS. Glucose-6-phosphate dehydrogenase deficiency was the most frequent disorder detected, with 44 positive individuals. Of the remaining 27 cases, 17 were recessive disorders. We also identified one false-positive case in a newborn in whom two variants in the AGXT gene were identified, which were subsequently shown to be located on the maternal allele. Nine heterozygous variants were identified in genes associated with dominant conditions. Results from the BabyDetect project demonstrate the importance of integrating biochemical and genomic methods in NBS programs. Challenges must be addressed in variant interpretation within a presymptomatic population and in result reporting and diagnostic confirmation.

Data-driven consideration of genetic disorders for global genomic newborn screening programs

Purpose

Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range of genetic disorders included in newborn screening. Substantial variability in gene selection across programs exists, highlighting the need for a systematic approach to prioritize genes.

Methods

We assembled a dataset comprising 25 characteristics about each of the 4,390 genes included in 27 NBSeq programs. We used regression analysis to identify several predictors of inclusion, and developed a machine learning model to rank genes for public health consideration.

Results

Among 27 NBSeq programs, the number of genes analyzed ranged from 134 to 4,299, with only 74 (1.7%) genes included by over 80% of programs. The most significant associations with gene inclusion across programs were presence on the US Recommended Uniform Screening Panel (inclusion increase of 74.7%, CI: 71.0%-78.4%), robust evidence on the natural history (29.5%, CI: 24.6%-34.4%) and treatment efficacy (17.0%, CI: 12.3%- 21.7%) of the associated genetic disease. A boosted trees machine learning model using 13 predictors achieved high accuracy in predicting gene inclusion across programs (AUC = 0.915, R² = 84%).

Conclusion

The machine learning model developed here provides a ranked list of genes that can adapt to emerging evidence and regional needs, enabling more consistent and informed gene selection in NBSeq initiatives.

Reduced Penetrance is Common Among Predicted Loss-of-Function Variants and is Likely Driven by Residual Allelic Activity

Loss-of-function genetic variants (LoFs) often result in severe phenotypes, including autosomal dominant diseases driven by haploinsufficiency. Due to low carrier frequencies, their penetrance is generally unknown but typically variable. Here, we investigate the penetrance of >6,000 predicted LoFs (pLoFs) linked to 91 haploinsufficient diseases using a cohort of ≈24,000 carriers with linked electronic health record data. We find evidence for widespread reduced penetrance, which persisted after accounting for variant annotation artifacts, missed diagnoses, and incomplete clinical data. We thus hypothesized that many pLoFs have incomplete penetrance, which may be driven by residual allelic activity. To test this, we trained machine learning models to predict pLoF penetrance using variant-specific genomic features that may correlate with incomplete loss-of-function. The models were predictive of pLoF penetrance across a range of diseases and variant types, including those with prior clinical evidence for pathogenicity. This suggests that many pLoFs have incomplete penetrance due to residual allelic activity, complicating disease prognostication in asymptomatic carriers.

Genomic sequencing in newborn screening: balancing consent with the right of the asymptomatic at-risk child to be found

In this paper, we explore key aspects of the complex ethical and legal landscape surrounding consent in the context of incorporating genomic sequencing into existing newborn bloodspot screening programs. In particular, we consider the potential impact of genomic sequencing on the health rights of the child in relation to existing consent practices in newborn screening. We begin with an introduction to newborn screening programs and their population health goals. We then discuss public health ethics as a rationale underpinning newborn screening before turning to consent. We go on to describe seven current research projects on genomic sequencing in newborn screening and then introduce the 'right of the asymptomatic at-risk child to be found' as a useful concept to draw on when considering consent to newborn screening. We draw on this novel right to argue for the adoption of "appropriate consent" when it comes to certain uses of genomics in newborn screening. We contend that, for 'virtual panels' at least, appropriate consent proportionately balances the ongoing universality of newborn screening for important health conditions with an acknowledgement of the complex outcomes that bringing a complicated diagnostic technology into the screening domain will generate.

Singleton rapid long-read genome sequencing as first tier genetic test for critically Ill children with suspected genetic diseases

Timely genetic testing is crucial for diagnosing pediatric patients in the intensive care units (ICUs) without known etiology. We aim to explore the benefits of singleton rapid long-read genome sequencing (rLR-GS) in critically ill children admitted to ICU with a suspected genetic etiology. Children younger than 18 years of age admitted to the ICU with a suspected genetic etiology at two tertiary hospitals in Thailand from August 2023 to May 2024 were included. rLR-GS was performed. The value of a molecular diagnosis for changing patient management outcomes was assessed. Eighteen patients were recruited. Singleton rLR-GS identified seventeen likely pathogenic (LP) or pathogenic (P) variants, resulting in the diagnosis of eleven distinct genetic disorders with autosomal recessive, autosomal dominant, and mitochondrial inheritance patterns. This yielded a diagnostic rate of 61% (11/18) with a median turnaround time of nine days. Specifically, rLR-GS identified three pathogenic structural variants (SVs), including large deletions of 19 kb, 2.4 kb, and 10.1 kb. Additionally, it provided phasing information for the two variants in each of the six patients with autosomal recessive disorders. Furthermore, the identification of two SVs and the phasing information led to the reclassification of three single nucleotide variants (SNV), one in each patient, from variants of unknown significance (VUS) to LP. The application of rLR-GS resulted in significant changes in the management of all eleven patients. This proof-of-concept study demonstrated the utility of singleton rLR-GS as a first-tier diagnostic approach for critically ill patients with unknown causes.

Genome-scale models in human metabologenomics

Metabologenomics integrates metabolomics with other omics data types to comprehensively study the genetic and environmental factors that influence metabolism. These multi-omics data can be incorporated into genome-scale metabolic models (GEMs), which are highly curated knowledge bases that explicitly account for genes, transcripts, proteins and metabolites. By including all known biochemical reactions catalysed by enzymes and transporters encoded in the human genome, GEMs analyse and predict the behaviour of complex metabolic networks. Continued advancements to the scale and scope of GEMs - from cells and tissues to microbiomes and the whole body - have helped to design effective treatments and develop better diagnostic tools for metabolic diseases. Furthermore, increasing amounts of multi-omics data are incorporated into GEMs to better identify the underlying mechanisms, biomarkers and potential drug targets of metabolic diseases.

Expanded Newborn Screening Using Genome Sequencing for Early Actionable Conditions

Importance

The feasibility of implementing genome sequencing as an adjunct to traditional newborn screening (NBS) in newborns of different racial and ethnic groups is not well understood.

Objective

To report interim results of acceptability, feasibility, and outcomes of an ongoing genomic NBS study in a diverse population in New York City within the context of the New York State Department of Health Newborn Screening Program.

Design, Setting, and Participants

The Genomic Uniform-screening Against Rare Disease in All Newborns (GUARDIAN) study was a multisite, single-group, prospective, observational investigation of supplemental newborn genome screening with a planned enrollment of 100 000 participants. Parent-reported race and ethnicity were recorded at the time of recruitment. Results of the first 4000 newborns enrolled in 6 New York City hospitals between September 2022 and July 2023 are reported here as part of a prespecified interim analysis.

Exposure

Sequencing of 156 early-onset genetic conditions with established interventions selected by the investigators were screened in all participants and 99 neurodevelopmental disorders associated with seizures were optional.

Main Outcomes and Measures

The primary outcome was screen-positive rate. Additional outcomes included enrollment rate and successful completion of sequencing.

Results

Over 11 months, 5555 families were approached and 4000 (72.0%) consented to participate. Enrolled participants reflected a diverse group by parent-reported race (American Indian or Alaska Native, 0.5%; Asian, 16.5%; Black, 25.1%; Native Hawaiian or Other Pacific Islander, 0.1%; White, 44.7%; 2 or more races, 13.0%) and ethnicity (Hispanic, 44.0%; not Hispanic, 56.0%). The majority of families consented to screening of both groups of conditions (both groups, 90.6%; disorders with established interventions only, 9.4%). Testing was successfully completed for 99.6% of cases. The screen-positive rate was 3.7%, including treatable conditions that are not currently included in NBS.

Conclusions and Relevance

These interim findings demonstrate the feasibility of targeted interpretation of a predefined set of genes from genome sequencing in a population of different racial and ethnic groups. DNA sequencing offers an additional method to improve screening for conditions already included in NBS and to add those that cannot be readily screened because there is no biomarker currently detectable in dried blood spots. Additional studies are required to understand if these findings are generalizable to populations of different racial and ethnic groups and whether introduction of sequencing leads to changes in management and improved health outcomes.

Trial Registration

ClinicalTrials.gov Identifier: NCT05990179.

DNA Sequencing in Newborn Screening: Opportunities, Challenges, and Future Directions

BACKGROUND

Newborn screening is a public health system designed to identify infants at risk for conditions early in life to facilitate timely intervention and treatment to prevent or mitigate adverse health outcomes. Newborn screening programs use tandem mass spectrometry as a platform to detect several treatable inborn errors of metabolism, and the T-cell receptor excision circle assay to detect some inborn errors of the immune system. Recent advancements in DNA sequencing have decreased the cost of sequencing and allow us to consider DNA sequencing as an additional platform to complement other newborn screening methods.

CONTENT

This review provides an overview of DNA-based newborn screening, including its applications, opportunities, challenges, and future directions. We discuss the potential benefits of expanded DNA sequencing in newborn screening, such as expanding conditions screened and improved specificity and sensitivity of currently screened conditions. Additionally, we examine the ethical, legal, and social implications of implementing genomic sequencing in newborn screening programs, including issues related to consent, privacy, equity, data interpretation, scalability, and psychosocial impact on families. Additionally, we explore emerging strategies for addressing current limitations and advancing the field of newborn screening.

SUMMARY

DNA sequencing in newborn screening has the potential to improve the diagnosis and management of rare diseases but also presents significant challenges that need to be addressed before implementation at the population level.

Effective Newborn Screening for Type 1 and 3 Primary Hyperoxaluria

Introduction

Newborn screening (NBS) programs for a defined set of eligible diseases have been enormously successful, but genomic NBS allowing for detection of additional treatable disorders has not been broadly implemented. All 3 types of primary hyperoxaluria (PH1-3) are rare autosomal recessive diseases caused by distinct defects of glyoxylate metabolism that are diagnosed genetically with certainty. Early diagnosis and treatment are mandatory to avoid renal failure or sequalae associated with persistent hyperoxaluria.

Methods

This prospective pilot study was undertaken within the framework of the German NBS. DNA samples extracted from dried blood spot cards were screened by multiplex polymerase chain reaction (PCR) for the 2 most prevalent variants: AGXT c.508G>A (PH1) and HOGA1 c.700 + 5G>T (PH3). Heterozygous AGXT/HOGA1 carriers received repeated spot urine analyses and, in case of persistent hyperoxaluria, complete Sanger sequencing of AGXT and HOGA1 genes, respectively.

Results

Between March 15, 2022 and June 30, 2023, additional screening for PH1 and PH3 was performed in 77,199 out of 222,638 newborns included in the regular NBS program. No homozygous individuals, but 274 potential carriers for the AGXT mistargeting and 287 potential carriers for the HOGA1 splice variant were identified. Further workup revealed 2 already symptomatic compound heterozygous infants, 1 with PH1 (genotype c.508G>A; c.33delC) and 1 with PH3 (genotype: c.700 + 5G>T; c.134C>G). A second symptomatic patient with PH1 (father of an identified carrier; genotype: c.508G>A; c.508G>A) was uncovered via family history.

Conclusion

This pilot study demonstrates the efficacy of a genomic neonatal screening program for PH even in relatively small cohorts.

Identification of a novel missense variant in the AVP gene in a Japanese pedigree with familial neurohypophyseal diabetes insipidus

Familial neurohypophyseal diabetes insipidus is a rare genetic disease caused by AVP gene variants and is characterized by progressive polyuria and polydipsia in early childhood. Herein, we have reported the clinical symptoms and genetic test results of a Japanese patient with a family history of polyuria and polydipsia for over five generations. The proband was a 6-yr-old boy who was referred for the evaluation of polyuria and polydipsia. A hypertonic saline infusion test showed no increase in AVP levels and a water deprivation test followed by vasopressin administration confirmed the diagnosis of central diabetes insipidus. Genetic analyses of the patient and his affected mother revealed a novel heterozygous missense variant (c.308T>A, p.V103D). This variant was located in the region encoding the neurophysin II moiety. Computational analysis predicted that p.V103D is pathogenic, and a structural change was detected by viewing the three-dimensional structure of the protein model. To our knowledge, this is the first study to identify a novel missense variant, p.V103D, in a Japanese family with central diabetes insipidus. These findings expand the panel of AVP variants and facilitate the genetic diagnosis of familial neurohypophyseal diabetes insipidus.

Feasibility of newborn screening for pyridoxine-dependent epilepsy

BACKGROUND

Pyridoxine-dependent epilepsy (PDE-ALDH7A1) is a developmental epileptic encephalopathy historically characterized by seizures that are resistant to antiseizure medications. Treatment with pyridoxine and lysine reduction therapies are associated with seizure control and improved developmental outcomes. In rare circumstances, patients have died prior to diagnosis and treatment with pyridoxine, and many patients are diagnosed after six months of age when lysine reduction therapies have limited efficacy. Recently two new metabolites were identified (2S,6S-/2S,6R-oxopropylpiperidine-2-carboxylic acid, 2-OPP and 6-oxo-pipecolate, 6-oxo-pip), and we evaluated these metabolites as potential newborn screening biomarkers.

METHODS

We recruited participants with a confirmed diagnosis of PDE-ALDH7A1 and retrieved their residual dried blood spots from state-sponsored newborn screening programs. We evaluated the dried blood spots for 2-OPP using commercially available newborn screening kits and equipment, and developed a second-tier test for 6-oxo-pip using LC-MS/MS.

RESULTS

We received eight residual dried blood spots collected before the onset of seizures and the diagnosis of PDE-ALDH7A1. In our newborn screening experiments, 2-OPP was elevated in 7 of 8 samples from affected participants with a mean of 3.08 μmol/L (95 % CI 2.17-3.99) compared to a mean of 0.09 μmol/L (95 % CI 0.09-0.10) in controls (p < 0.001). Second tier testing demonstrated elevated 6-oxo-pip in all samples from affected participants with a mean of 5.66 μmol/L (95 % CI 1.51-9.81) and was undetectable in controls (p < 0.001).

CONCLUSION

Patients with PDE-ALDH7A1 can be identified using neonatal dried blood spots prior to the onset of symptoms. The use of commercially available newborn screening approaches demonstrates the feasibility of newborn screening for this treatable condition.

Parental and child's psychosocial and financial burden living with an inherited metabolic disease identified by newborn screening

Newborn screening (NBS) is one of the most effective measures of secondary prevention. While the benefit of NBS on the clinical long-term outcomes of children with inherited metabolic diseases (IMD) has been demonstrated, the potential burden of families living with an early diagnosed and treated child with an IMD has not been thoroughly investigated. The aim of this longitudinal questionnaire-based study on 369 families living with a child with an IMD was to investigate the psychosocial and financial burden following a true-positive NBS. The reported psychosocial burden differed between children and their parents, and was associated with the child's age, diagnosis, and treatment. At younger ages, parent-reported burden was higher for the parents than for the individual child, while it increased for children and decreased for parents as the child grew older. Furthermore, psychosocial burden increased if the child required a strict dietary treatment and was at risk of metabolic decompensation. Regardless of diagnosis and treatment, the developmental delay of their child independently increased the parental psychosocial burden. Financial burden was reported by 24% of all families, and was higher in low-income families and in families whose children required dietary treatment. In conclusion, a substantial psychosocial and financial burden was revealed for children and their families after true-positive NBS. Since this burden is likely to have a negative impact on the long-term individual health benefits of NBS, this study underlines the importance of regularly assessing the psychosocial and financial needs of these families.

Estimating the sensitivity of genomic newborn screening for treatable inherited metabolic disorders

PURPOSE

Over 30 research groups and companies are exploring newborn screening using genomic sequencing (NBSeq), but the sensitivity of this approach is not well understood.

METHODS

We identified individuals with treatable inherited metabolic disorders (IMDs) and ascertained the proportion whose DNA analysis revealed explanatory deleterious variants (EDVs). We examined variables associated with EDV detection and estimated the sensitivity of DNA-first NBSeq. We further predicted the annual rate of true-positive and false-negative NBSeq results in the United States for several conditions on the Recommended Uniform Screening Panel.

RESULTS

We identified 635 individuals with 80 unique IMDs. In univariate analyses, Black race (OR = 0.37, 95% CI: 0.16-0.89, P = .02) and public insurance (OR = 0.60, 95% CI: 0.39-0.91, P = .02) were less likely to be associated with finding EDVs. Had all individuals been screened with NBSeq, the sensitivity would have been 80.3%. We estimated that between 0 and 649.9 cases of Recommended Uniform Screening Panel IMDs would be missed annually by NBSeq in the United States.

CONCLUSION

The overall sensitivity of NBSeq for treatable IMDs is estimated at 80.3%. That sensitivity will likely be lower for Black infants and those who are on public insurance.

Newborn Screening by DNA-First: Systematic Evaluation of the Eligibility of Inherited Metabolic Disorders Based on Treatability

The biomarker-based Dutch Newborn Screening (NBS) panel (as of 2024) comprises 19 inherited metabolic disorders (IMDs). With the use of next-generation sequencing (NGS) as a first-tier screen, NBS could expand to include IMDs that lack a reliable biochemical footprint in dried blood spots, while also reducing secondary findings. To be eligible for inclusion in NBS, an IMD needs to fulfill the Wilson and Jungner criteria, with treatability being one of the most important criteria. In this study, we aimed to identify IMDs eligible for DNA-first NBS when considering only treatability in the context of NBS as a prerequisite. First, three independent reviewers performed a systematic literature review of the 1459 genotypic IMDs and their causative gene(s), as described in the International Classification of Inherited Metabolic Disorders (dated 1 February 2021), applying 16 criteria to exclude non-treatable disorders. Eligible disorders were then discussed in three online meetings with a project group of clinical laboratory geneticists, medical laboratory specialists specialized in IMD, and pediatricians with expertise in IMDs. Based on treatability, we identified 100 genes, causing 95 IMDs, as eligible for NBS, including 42 causal genes for the IMDs in the current biomarker-based NBS. The other 58 genes are primarily associated with treatable defects in amino acid metabolism and fatty acid oxidation. Other IMDs were excluded, most often because of insufficient literature. As the evaluation of treatability was not straightforward, we recommend the development of standardized treatability scores for the inclusion of IMDs in NBS.

Prequalification of genome-based newborn screening for severe childhood genetic diseases through federated training based on purifying hyperselection

Genome-sequence-based newborn screening (gNBS) has substantial potential to improve outcomes in hundreds of severe childhood genetic disorders (SCGDs). However, a major impediment to gNBS is imprecision due to variants classified as pathogenic (P) or likely pathogenic (LP) that are not SCGD causal. gNBS with 53,855 P/LP variants, 342 genes, 412 SCGDs, and 1,603 therapies was positive in 74% of UK Biobank (UKB470K) adults, suggesting 97% false positives. We used the phenomenon of purifying hyperselection, which acts to decrease the frequency of SCGD causal diplotypes, to reduce false positives. Training of gene-disease-inheritance mode-diplotype tetrads in 618,290 control and affected subjects identified 293 variants or haplotypes and seven genes with variable inheritance contributing higher positive diplotype counts than consistent with purifying hyperselection and with little or no evidence of SCGD causality. With these changes, 2.0% of UKB470K adults were positive. In contrast, gNBS was positive in 7.2% of 3,118 critically ill children with suspected SCGDs and 7.9% of 705 infant deaths. When compared with rapid diagnostic genome sequencing (RDGS), gNBS had 99.1% recall. In eight true-positive children, gNBS was projected to decrease time to diagnosis by a median of 121 days and avoid life-threatening disease presentations in four children, organ damage in six children, ∼$1.25 million in healthcare cost, and ten (1.4%) infant deaths. Federated training predicated on purifying hyperselection provides a general framework to attain high precision in population screening. Federated training across many biobanks and clinical trials can provide a privacy-preserving mechanism for qualification of gNBS in diverse genetic ancestries.

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.

A Just Genomics Needs an ELSI of Translation

The rapid advances in genomics over the last decade have come to fruition amid intense public discussions of justice in medicine and health care. While much emphasis has been placed on increasing diversity in genomics research participation, an overly narrow focus on recruitment eschews recognition of the disparities in health care that will ultimately shape access to the benefits of genomic medicine. In this essay, we suggest that achieving a just genomics, both now and in the future, requires an explicit ELSI of translation-normative and pragmatic scholarship that embraces the interconnectedness of research and clinical care and centers the obligations of researchers, institutions, and funders to mitigate inequities throughout the translational pipeline. We propose core principles to guide an ELSI of translation and to ensure that this work balances the value of the generalizable knowledge that genomics research generates and the value of the individuals and communities who make this research possible.

A systematic framework for selecting gene-condition pairs for inclusion in newborn sequencing panels: Early Check implementation

PURPOSE

Research is underway worldwide to investigate the feasibility, acceptability, and utility of sequencing-based newborn screening. Different methods have been used to select gene-condition pairs for screening, leading to highly inconsistent gene lists across studies.

METHODS

Early Check developed and utilized actionability-based frameworks for evaluating gene-condition pairs for inclusion in newborn panels (panel 1-high actionability, panel 2-possible actionability). A previously developed framework, the Age-based Semi Quantitative Metric (ASQM), was adapted. Increasing ASQM scores, with a maximum of 15, suggest greater actionability. Wilcoxon tests were performed to compare panel 1 gene-condition pairs on the Recommended Uniform Screening Panel (RUSP) with non-RUSP pairs.

RESULTS

In our first round of assessment, Early Check identified 178 gene-condition pairs for inclusion in panel 1 and 29 for panel 2. Median ASQM scores of RUSP conditions on panel 1 was 12 (range 4 to 15) and non-RUSP was 13 (range 9 to 15). Median scores for panel 2 was 10 (range 6 to 14).

CONCLUSION

The Early Check frameworks provide a transparent, semiquantitative, and reproducible methodology for selecting gene-condition pairs for newborn screening sequencing pilot studies that may inform future integration of genomic sequencing into population-level newborn screening. Collaborative efforts among newborn sequencing studies to establish shared criteria is needed to enhance cross-study comparisons.

Oxford nanopore sequencing-based assay for BTD gene screening: Design, clinical validation, and variant frequency assessment in the Turkish population

Biotinidase deficiency (BTD) is an autosomal recessive disorder characterized by impaired recycling of the water-soluble vitamin biotin which leads to a spectrum of clinical manifestations ranging from mild to severe, including mainly neurological and cutaneous symptoms. Biotin supplementation is a cornerstone of treatment, but diagnosis often relies on measuring serum enzyme activity, which needs to be confirmed by genetic analysis. Thus, molecular methods become necessary in the differential diagnosis of BTD. Accordingly, countries with a high-incidence have implemented next-generation sequencing (NGS) techniques to newborn screening programs for BT. Nevertheless, NGS platforms, while well-established, present challenges in cost, labor, accessibility, and duration for newborn screening programs targeting BTD, therefore these limitations necessitate the exploration of alternative systems to ensure efficient and widespread screening. Here, third-generation sequencing platforms, notably Oxford Nanopore Technology (ONT), present promising solutions to the associated challenges. Hence, in the present study, we aimed to develop an ONT-based assay for the screening of BTD gene. After designing and optimizing primers for long-PCR using reference DNA, we assessed the performance of the ONT assay in BTD patients previously diagnosed by enzyme assay and confirmed using Illumina-based sequencing. The results demonstrate a strong correlation between the two methods, indicating the reliability of the ONT-based assay. Moreover, this first in-house single gene testing specifically tailored for BTD successfully detected previously known genetic variants with high sequencing depths, affirming the effectiveness of ONT-based sequencing in human genetics.

Promises and challenges of genomic newborn screening (NBS) - lessons from public health NBS programs

Newborn screening (NBS) in the United States began in the 1960s to detect inborn errors of metabolism that benefited from presymptomatic treatment compared with treatment after the development of symptoms and diagnosis. Over time, it expanded to include endocrinological disorders, hematological disorders, immunodeficiencies, and other treatable diseases such as lysosomal storage diseases (LSD), cystic fibrosis, X-linked adrenoleukodystrophy, and spinal muscular dystrophy. This expansion has been driven by new technologies (e.g., tandem mass spectrometry) and novel treatments (e.g., enzyme replacement therapy and stem cell transplant for LSDs). Advances in next-generation gene sequencing (NGS) enable rapid identification of many additional conditions that might benefit from early presymptomatic intervention. We review the NGS technologies that evolved as diagnostic testing and suggest issues to be resolved before their potential application to screening the asymptomatic population. We illustrate the importance of selecting diseases to be screened and propose recommendations to follow when variants of uncertain significance are found. We address ethical issues around achieving equity in the sensitivity of genomic NBS, access to follow-up and management, especially for people from diverse backgrounds, and other considerations. Finally, we discuss the potential benefits and harms of genomic NBS to the overall health of children with monogenic diseases. IMPACT: Genomic newborn screening programs are ongoing worldwide. Public discussion is needed as to whether genomic newborn screening should be offered as a public health program and, if so, what conditions should be screened for. Providers should understand that the sensitivity of genomic newborn screening is especially low for newborns from non-European populations. Methylation, large structural variants and repeat expansion variants are not amenable to next-generation sequencing-based genomic newborn screening. The article serves as a comprehensive guide to understanding issues that need to be solved before genomic newborn screening is implemented as a public health program.

Newborn screening programs for spinal muscular atrophy worldwide in 2023

BACKGROUND

Spinal muscular atrophy is a rare, genetic neuromuscular disorder. Disease-modifying therapies, when administered early, have shown improved outcomes, leading to the implementation of numerous newborn screening programs for spinal muscular atrophy.

OBJECTIVE

The aim of this study was to evaluate the progress in implementing newborn screening for spinal muscular atrophy and therapy accessibility worldwide, after the first paper published in 2021.

METHODS

We conducted a survey, contacted experts from 143 countries worldwide, gathered responses from 86 experts from 80 countries.

RESULTS

By 2023, 31 countries reported established programs, 33 in the beginning of the year 2024; identifying approximately 1176 cases of spinal muscular atrophy. Additionally, the availability of disease-modifying therapies has expanded. At least one therapy is now accessible in 62 countries. Challenges, such as lack of governmental support, resource constraints, and varying healthcare priorities continue to impede implementation in some countries.

CONCLUSIONS

The data shows a significant increase in the implementation of newborn screening programs since 2021. The experts are still expressing a strong need for equitable access to standard of care for all the patients globally. Despite all setbacks, collaborative efforts have played a crucial role in newborn screening for spinal muscular atrophy implementation and currently 7% of world newborns are being screened, projections indicate an estimated 18% screening rate by 2028.

Early Intervention services in the era of genomic medicine: setting a research agenda

Newborn genomic sequencing (NBSeq) has the potential to substantially improve early detection of rare genetic conditions, allowing for pre-symptomatic treatment to optimize outcomes. Expanding conceptions of the clinical utility of NBSeq include earlier access to behavioral early intervention to support the acquisition of core motor, cognitive, communication, and adaptive skills during critical windows in early development. However, important questions remain about equitable access to early intervention programs for the growing number of infants identified with a genetic condition via NBSeq. We review the current NBSeq public health, clinical, and research landscape, and highlight ongoing international research efforts to collect population-level data on the utility of NBSeq for healthy newborns. We then explore the challenges facing a specific Early Intervention (EI) system-the US federally supported "Part C" system-for meeting the developmental needs of young children with genetic diagnoses, including structural limitations related to funding, variable eligibility criteria, and lack of collaboration with newborn screening programs. We conclude with a set of questions to guide future research at the intersection of NBSeq, newborn screening, and EI, which once answered, can steer future policy to ensure that EI service systems can optimally support the developmental needs of infants impacted by broader implementation of NBSeq. IMPACT: Existing literature on the clinical benefits of genome sequencing in newborns tends to focus on earlier provision of medical interventions, with less attention to the ongoing developmental needs of very young children with genetic conditions. This review outlines the developmental needs of a growing number of children diagnosed with genetic conditions in infancy and describes the strengths and limitations of the United States Early Intervention system (IDEA Part C) for meeting those needs.

Wilson and Jungner Revisited: Are Screening Criteria Fit for the 21st Century?

Driven by technological innovations, newborn screening (NBS) panels have been expanded and the development of genomic NBS pilot programs is rapidly progressing. Decisions on disease selection for NBS are still based on the Wilson and Jungner (WJ) criteria published in 1968. Despite this uniform reference, interpretation of the WJ criteria and actual disease selection for NBS programs are highly variable. A systematic literature search [PubMED search "Wilson" AND "Jungner"; last search 16.07.22] was performed to evaluate the applicability of the WJ criteria for current and future NBS programs and the need for adaptation. By at least two reviewers, 105 publications (systematic literature search, N = 77; manual search, N = 28) were screened for relevant content and, finally, 38 publications were evaluated. Limited by the study design of qualitative text analysis, no statistical evaluation was performed, but a structured collection of reported aspects of criticism and proposed improvements was instead collated. This revealed a set of general limitations of the WJ criteria, such as imprecise terminology, lack of measurability and objectivity, missing pediatric focus, and absent guidance on program management. Furthermore, it unraveled specific aspects of criticism on clinical, diagnostic, therapeutic, and economical aspects. A major obstacle was found to be the incompletely understood natural history and phenotypic diversity of rare diseases prior to NBS implementation, resulting in uncertainty about case definition, risk stratification, and indications for treatment. This gap could be closed through the systematic collection and evaluation of real-world evidence on the quality, safety, and (cost-)effectiveness of NBS, as well as the long-term benefits experienced by screened individuals. An integrated NBS public health program that is designed to continuously learn would fulfil these requirements, and a multi-dimensional framework for future NBS programs integrating medical, ethical, legal, and societal perspectives is overdue.

Comparative analysis of gene and disease selection in genomic newborn screening studies

Genomic newborn screening (gNBS) is on the horizon given the decreasing costs of sequencing and the advanced understanding of the impact of genetic variants on health and diseases. Key to ongoing gNBS pilot studies is the selection of target diseases and associated genes to be included. In this study, we present a comprehensive analysis of seven published gene-disease lists from gNBS studies, evaluating gene-disease count, composition, group proportions, and ClinGen curations of individual disorders. Despite shared selection criteria, we observe substantial variation in total gene count (median 480, range 237-889) and disease group composition. An intersection was identified for 53 genes, primarily inherited metabolic diseases (83%, 44/53). Each study investigated a subset of exclusive gene-disease pairs, and the total number of exclusive gene-disease pairs was positively correlated with the total number of genes included per study. While most pairs receive "Definitive" or "Strong" ClinGen classifications, some are labeled as "Refuted" (n = 5) or "Disputed" (n = 28), particularly in genetic cardiac diseases. Importantly, 17%-48% of genes lack ClinGen curation. This study underscores the current absence of consensus recommendations for selection criteria for target diseases for gNBS resulting in diversity in proposed gene-disease pairs, their coupling with gene variations and the use of ClinGen curation. Our findings provide crucial insights into the selection of target diseases and accompanying gene variations for future gNBS program, emphasizing the necessity for ongoing collaboration and discussion about criteria harmonization for panel selection to ensure the screening's objectivity, integrity, and broad acceptance.

Nucleic Acid Based Testing (NABing): A Game Changer Technology for Public Health

Timely and accurate detection of the causal agent of a disease is crucial to restrict suffering and save lives. Mere symptoms are often not enough to detect the root cause of the disease. Better diagnostics applied for screening at a population level and sensitive detection assays remain the crucial component of disease surveillance which may include clinical, plant, and environmental samples, including wastewater. The recent advances in genome sequencing, nucleic acid amplification, and detection methods have revolutionized nucleic acid-based testing (NABing) and screening assays. A typical NABing assay consists of three modules: isolation of the nucleic acid from the collected sample, identification of the target sequence, and final reading the target with the help of a signal, which may be in the form of color, fluorescence, etc. Here, we review current NABing assays covering the different aspects of all three modules. We also describe the frequently used target amplification or signal amplification procedures along with the variety of applications of this fast-evolving technology and challenges in implementation of NABing in the context of disease management especially in low-resource settings.

Genetic counselors' perspectives on genomic screening of apparently healthy newborns in the United States

Purpose

There is growing international interest in using genomic sequencing to screen newborns and children for treatable genomic conditions. Although recent research has demonstrated increasing support for using genomic sequencing to screen newborns and children for treatable genomic conditions among various stakeholders, little is known about the perspectives of genetic counselors (GCs) in the United States, who are frequently engaged in the disclosure of positive newborn screening results and coordination of follow-up testing and management.

Methods

This study utilized a cross-sectional 3-section survey to explore GCs' perspectives on the benefits, limitations, and ethical and practical considerations of genomic sequencing in newborns as an adjunct screen to standard newborn screening (NBS). Additionally, we evaluated GCs' views on specific genes that could be added to NBS via sequencing.

Results

Of 176 GCs who participated in the study, most endorsed the addition of NBSeq for conditions that typically manifest in childhood and have a well-defined treatment or management protocol. Some perspectives, such as attitudes toward health inequity, varied by practice region. Most respondents endorsed 13 of 25 specific genetic conditions for inclusion in NBSeq.

Conclusion

Our findings demonstrate GCs' support for the expansion of NBS using genomic sequencing in the United States and the need for ongoing investigation of ethical and practical concerns related to its implementation.

The Multi-Omic Approach to Newborn Screening: Opportunities and Challenges

Newborn screening programs have seen significant evolution since their initial implementation more than 60 years ago, with the primary goal of detecting treatable conditions within the earliest possible timeframe to ensure the optimal treatment and outcomes for the newborn. New technologies have driven the expansion of screening programs to cover additional conditions. In the current era, the breadth of screened conditions could be further expanded by integrating omic technologies such as untargeted metabolomics and genomics. Genomic screening could offer opportunities for lifelong care beyond the newborn period. For genomic newborn screening to be effective and ready for routine adoption, it must overcome barriers such as implementation cost, public acceptability, and scalability. Metabolomics approaches, on the other hand, can offer insight into disease phenotypes and could be used to identify known and novel biomarkers of disease. Given recent advances in metabolomic technologies, alongside advances in genomics including whole-genome sequencing, the combination of complementary multi-omic approaches may provide an exciting opportunity to leverage the best of both approaches and overcome their respective limitations. These techniques are described, along with the current outlook on multi-omic-based NBS research.

Genomic sequencing for newborn screening: current perspectives and challenges

Traditional newborn screening (NBS) serves as a critical tool in identifying conditions that may impact a child's health from an early stage. Newborn sequencing (NBSeq), the comprehensive analysis of an infant's genome, holds immense promise for revolutionizing health care throughout the lifespan. NBSeq allows for early detection of genetic disease risk and precision personalized medicine. The rapid evolution of DNA sequencing technologies and increasing affordability have spurred numerous endeavors to explore the potential of whole-genome sequencing in newborn screening. However, this transformative potential cannot be realized without challenges. Ethical aspects must be carefully navigated to safeguard individual rights and maintain public trust. Moreover, genomic data interpretation poses complex challenges due to its amount, the presence of variants of uncertain significance, and the dynamic nature of our understanding of genetics. Implementation hurdles, including cost, infrastructure, and specialized expertise, also present barriers to the widespread adoption of NBSeq. Addressing these challenges requires collaboration among clinicians, researchers, policymakers, ethicists, and stakeholders across various sectors. Robust frameworks for informed consent, data protection, and governance are essential. Advances in bioinformatics, machine learning, and genomic interpretation are crucial for translation into actionable clinical insights. Scalability and improving downstream health care access are vital for equitability, particularly in underserved communities. By fostering interdisciplinary collaboration, advancing technology and infrastructure, and upholding ethical principles, we can unlock the full potential of NBSeq as a tool for precision medicine and pave the way toward a future where every child has the opportunity for a healthier, genomics-informed start to life.

Newborn screening for lipid disorders

PURPOSE OF REVIEW

Newborn screening is one of the most successful public health programs of the last century and offers unparalleled access to universal screening for a variety of metabolic and other disorders. Interest in development of newborn screening for lipid disorders has intensified in recent years. Screening newborns for lipid disorders has important implications for the health of the newborn as well as their relatives, and in the case of more common lipid disorders like familial hypercholesterolemia, could have important public health implications.

RECENT FINDINGS

Recent studies have demonstrated feasibility of measuring biomarkers for heterozygous familial hypercholesterolemia from newborn screening dried blood spot specimens. Another lipid disorder, cerebrotendinous xanthomatosis, is currently amenable to newborn screening utilizing currently available assays. New research in next-generation sequencing as a primary screen in newborns will also identify both common and rare lipid disorders in newborns.

SUMMARY

Historically, newborn screening for lipid disorders was not done for many reasons, but new research has developed testing methods that may successfully identify common and rare lipid disorders. This will impact the health of the newborn but could also impact family members and public health.

Precision medicine in Asia enhanced by next-generation sequencing: Implications for Thailand through a scoping review and interview study

Next-generation sequencing (NGS) significantly enhances precision medicine (PM) by offering personalized approaches to diagnosis, treatment, and prevention of unmet medical needs. Little is known about the current situation of PM in Asia. Thus, we aimed to conduct an overview of the progress and gaps in PM in Asia and enrich it with in-depth insight into the possibilities of future PM in Thailand. This scoping review focused on Asian countries starting with non-cancer studies, including rare and undiagnosed diseases (RUDs), non-communicable diseases (NCDs), infectious diseases (IDs), and pharmacogenomics, with a focus on NGS. Subsequent in-depth interviews with experts in Thailand were performed, and a thematic analysis served as the main qualitative methodology. Out of 2898 searched articles, 387 studies were included after the review. Although most of the studies focused on cancer, 89 (23.0%) studies were related to RUDs (17.1%), NCDs (2.8%), IDs (1.8%), and pharmacogenomics (1.3%). Apart from medicine and related sciences, the studies were mostly composed of PM (61.8%), followed by genetics medicine and bioinformatics. Interestingly, 28% of articles were conducted exclusively within the fields of medicine and related sciences, emphasizing interdisciplinary integration. The experts emphasized the need for sustainability-driven political will, nurturing collaboration, reinforcing computational infrastructure, and expanding the bioinformatic workforce. In Asia, developments of NGS have made remarkable progress in PM. Thailand has extended PM beyond cancer and focused on clinical implementation. We summarized the PM challenges, including equity and efficiency targeting, guided research funding, sufficient sample size, integrated collaboration, computational infrastructure, and sufficient trained human resources.

Disease spectrum, prevalence, genetic characteristics of inborn errors of metabolism in 21,840 hospitalized infants in Chongqing, China, 2017-2022

Inborn errors of metabolism (IEMs) are uncommon. Although some studies have explored the distribution and characteristics of IEMs in newborns, the impact of these disorders on hospitalized newborns remains unclear. In this study, we gathered data from 21,840 newborn patients admitted for various medical conditions at the Children's Hospital of Chongqing Medical University from January 2017 and December 2022. Liquid chromatography-tandem mass spectrometry (LC-MS/MS), gas chromatography-mass spectrometry (GC-MS/MS), and genetic analysis were used to elucidate the disease spectrum, incidence rate, and genetic characteristics of IEMs in hospitalized newborns. The results revealed that the incidence of IEMs in hospitalized newborns was 1/377 (58/21,840), with a higher incidence in full-term infants (1/428) than in premature infants (1/3,120). Among the diagnosed genetic metabolic diseases, organic acid metabolism disorders (1/662), amino acid metabolism disorders (1/950), and fatty acid oxidation disorders (1/10,920) were the most prevalent. Methylmalonic acidemia (MMA), especially the isolated form, emerged as the most common IEM, while neonatal intrahepatic cholestasis caused by citrin deficiency (NICCD) and ornithine transcarbamylase deficiency (OTCD) were prevalent in premature infants. Of the 58 confirmed cases of IEMs, 72 variants were identified, of which 31.94% (23/72) had not been reported previously. This study contributes to understanding the incidence and clinical features of IEMs in hospitalized newborns, offering more efficient strategies for screening and diagnosing these disorders.

Current Status of Newborn Bloodspot Screening Worldwide 2024: A Comprehensive Review of Recent Activities (2020-2023)

Newborn bloodspot screening (NBS) began in the early 1960s based on the work of Dr. Robert "Bob" Guthrie in Buffalo, NY, USA. His development of a screening test for phenylketonuria on blood absorbed onto a special filter paper and transported to a remote testing laboratory began it all. Expansion of NBS to large numbers of asymptomatic congenital conditions flourishes in many settings while it has not yet been realized in others. The need for NBS as an efficient and effective public health prevention strategy that contributes to lowered morbidity and mortality wherever it is sustained is well known in the medical field but not necessarily by political policy makers. Acknowledging the value of national NBS reports published in 2007, the authors collaborated to create a worldwide NBS update in 2015. In a continuing attempt to review the progress of NBS globally, and to move towards a more harmonized and equitable screening system, we have updated our 2015 report with information available at the beginning of 2024. Reports on sub-Saharan Africa and the Caribbean, missing in 2015, have been included. Tables popular in the previous report have been updated with an eye towards harmonized comparisons. To emphasize areas needing attention globally, we have used regional tables containing similar listings of conditions screened, numbers of screening laboratories, and time at which specimen collection is recommended. Discussions are limited to bloodspot screening.

Australian public perspectives on genomic newborn screening: which conditions should be included?

BACKGROUND

Implementing genomic sequencing into newborn screening programs allows for significant expansion in the number and scope of conditions detected. We sought to explore public preferences and perspectives on which conditions to include in genomic newborn screening (gNBS).

METHODS

We recruited English-speaking members of the Australian public over 18 years of age, using social media, and invited them to participate in online focus groups.

RESULTS

Seventy-five members of the public aged 23-72 participated in one of fifteen focus groups. Participants agreed that if prioritisation of conditions was necessary, childhood-onset conditions were more important to include than later-onset conditions. Despite the purpose of the focus groups being to elicit public preferences, participants wanted to defer to others, such as health professionals or those with a lived experience of each condition, to make decisions about which conditions to include. Many participants saw benefit in including conditions with no available treatment. Participants agreed that gNBS should be fully publicly funded.

CONCLUSION

How many and which conditions are included in a gNBS program will be a complex decision requiring detailed assessment of benefits and costs alongside public and professional engagement. Our study provides support for implementing gNBS for treatable childhood-onset conditions.

Gene selection for genomic newborn screening: Moving toward consensus?

PURPOSE

Gene selection for genomic newborn screening (gNBS) underpins the validity, acceptability, and ethical application of this technology. Existing gNBS gene lists are highly variable despite being based on shared principles of gene-disease validity, treatability, and age of onset. This study aimed to curate a gNBS gene list that builds upon existing efforts and provide a core consensus list of gene-disease pairs assessed by multiple expert groups worldwide.

METHODS

Our multidisciplinary expert team curated a gene list using an open platform and multiple existing curated resources. We included severe treatable disorders with age of disease onset <5 years with established gene-disease associations and reliable variant detection. We compared the final list with published lists from 5 other gNBS projects to determine consensus genes and to identify areas of discrepancy.

RESULTS

We reviewed 1279 genes and 604 met our inclusion criteria. Metabolic conditions comprised the largest group (25%), followed by immunodeficiencies (21%) and endocrine disorders (15%). We identified 55 consensus genes included by all 6 gNBS research projects. Common reasons for discrepancy included variable definitions of treatability and strength of gene-disease association.

CONCLUSION

We have identified a consensus gene list for gNBS that can be used as a basis for systematic harmonization efforts internationally.

Prospective cohort study of genomic newborn screening: BabyScreen+ pilot study protocol

INTRODUCTION

Newborn bloodspot screening (NBS) is a highly successful public health programme that uses biochemical and other assays to screen for severe but treatable childhood-onset conditions. Introducing genomic sequencing into NBS programmes increases the range of detectable conditions but raises practical and ethical issues. Evidence from prospectively ascertained cohorts is required to guide policy and future implementation. This study aims to develop, implement and evaluate a genomic NBS (gNBS) pilot programme.

METHODS AND ANALYSIS

The BabyScreen+ study will pilot gNBS in three phases. In the preimplementation phase, study materials, including education resources, decision support and data collection tools, will be designed. Focus groups and key informant interviews will also be undertaken to inform delivery of the study and future gNBS programmes. During the implementation phase, we will prospectively recruit birth parents in Victoria, Australia, to screen 1000 newborns for over 600 severe, treatable, childhood-onset conditions. Clinically accredited whole genome sequencing will be performed following standard NBS using the same sample. High chance results will be returned by genetic healthcare professionals, with follow-on genetic and other confirmatory testing and referral to specialist services as required. The postimplementation phase will evaluate the feasibility of gNBS as the primary aim, and assess ethical, implementation, psychosocial and health economic factors to inform future service delivery.

ETHICS AND DISSEMINATION

This project received ethics approval from the Royal Children's Hospital Melbourne Research Ethics Committee: HREC/91500/RCHM-2023, HREC/90929/RCHM-2022 and HREC/91392/RCHM-2022. Findings will be disseminated to policy-makers, and through peer-reviewed journals and conferences.

Unbiased phenotype and genotype matching maximizes gene discovery and diagnostic yield

PURPOSE

Widespread application of next-generation sequencing, combined with data exchange platforms, has provided molecular diagnoses for countless families. To maximize diagnostic yield, we implemented an unbiased semi-automated genematching algorithm based on genotype and phenotype matching.

METHODS

Rare homozygous variants identified in 2 or more affected individuals, but not in healthy individuals, were extracted from our local database of ∼12,000 exomes. Phenotype similarity scores (PSS), based on human phenotype ontology terms, were assigned to each pair of individuals matched at the genotype level using HPOsim.

RESULTS

33,792 genotype-matched pairs were discovered, representing variants in 7567 unique genes. There was an enrichment of PSS ≥0.1 among pathogenic/likely pathogenic variant-level pairs (94.3% in pathogenic/likely pathogenic variant-level matches vs 34.75% in all matches). We highlighted founder or region-specific variants as an internal positive control and proceeded to identify candidate disease genes. Variant-level matches were particularly helpful in cases involving inframe indels and splice region variants beyond the canonical splice sites, which may otherwise have been disregarded, allowing for detection of candidate disease genes, such as KAT2A, RPAIN, and LAMP3.

CONCLUSION

Semi-automated genotype matching combined with PSS is a powerful tool to resolve variants of uncertain significance and to identify candidate disease genes.

Comprehensive whole-genome sequence analyses provide insights into the genomic architecture of cerebral palsy

We performed whole-genome sequencing (WGS) in 327 children with cerebral palsy (CP) and their biological parents. We classified 37 of 327 (11.3%) children as having pathogenic/likely pathogenic (P/LP) variants and 58 of 327 (17.7%) as having variants of uncertain significance. Multiple classes of P/LP variants included single-nucleotide variants (SNVs)/indels (6.7%), copy number variations (3.4%) and mitochondrial mutations (1.5%). The COL4A1 gene had the most P/LP SNVs. We also analyzed two pediatric control cohorts (n = 203 trios and n = 89 sib-pair families) to provide a baseline for de novo mutation rates and genetic burden analyses, the latter of which demonstrated associations between de novo deleterious variants and genes related to the nervous system. An enrichment analysis revealed previously undescribed plausible candidate CP genes (SMOC1, KDM5B, BCL11A and CYP51A1). A multifactorial CP risk profile and substantial presence of P/LP variants combine to support WGS in the diagnostic work-up across all CP and related phenotypes.

'Integrating Ethics and Equity with Economics and Effectiveness for newborn screening in the genomic age: A qualitative study protocol of stakeholder perspectives

BACKGROUND

Newborn bloodspot screening is a well-established population health initiative that detects serious, childhood-onset, treatable conditions to improve health outcomes. With genomic technologies advancing rapidly, many countries are actively discussing the introduction of genomic assays into newborn screening programs. While adding genomic testing to Australia's newborn screening program could improve outcomes for infants and families, it must be considered against potential harms, ethical, legal, equity and social implications, and economic and health system impacts. We must ask not only 'can' we use genomics to screen newborns?' but 'should we'?' and 'how much should health systems invest in genomic newborn screening?'.

METHODS

This study will use qualitative methods to explore understanding, priorities, concerns and expectations of genomic newborn screening among parents/carers, health professionals/scientists, and health policy makers across Australia. In-depth, semi-structured interviews will be held with 30-40 parents/carers recruited via hospital and community settings, 15-20 health professionals/scientists, and 10-15 health policy makers. Data will be analysed using inductive content analysis. The Sydney Children's Hospital Network Human Research Ethics Committee approved this study protocol [2023/ETH02371]. The Standards for Reporting Qualitative Research will guide study planning, conduct and reporting.

DISCUSSION

Few studies have engaged a diverse range of stakeholders to explore the implications of genomics in newborn screening in a culturally and genetically diverse population, nor in a health system underpinned by universal health care. As the first study within a multi-part research program, findings will be used to generate new knowledge on the risks and benefits and importance of ethical, legal, social and equity implications of genomic newborn screening from the perspective of key stakeholders. As such it will be the foundation on which child and family centered criteria can be developed to inform health technology assessments and drive efficient and effective policy decision-making on the implementation of genomics in newborn screening.

Harnessing Next-Generation Sequencing as a Timely and Accurate Second-Tier Screening Test for Newborn Screening of Inborn Errors of Metabolism

In this study, we evaluated the implementation of a second-tier genetic screening test using an amplicon-based next-generation sequencing (NGS) panel in our laboratory during the period of 1 September 2021 to 31 August 2022 for the newborn screening (NBS) of six conditions for inborn errors of metabolism: citrullinemia type II (MIM #605814), systemic primary carnitine deficiency (MIM #212140), glutaric acidemia type I (MIM #231670), beta-ketothiolase deficiency (#203750), holocarboxylase synthetase deficiency (MIM #253270) and 3-hydroxy-3-methylglutaryl-CoA lyase deficiency (MIM # 246450). The custom-designed NGS panel can detect sequence variants in the relevant genes and also specifically screen for the presence of the hotspot variant IVS16ins3kb of SLC25A13 by the copy number variant calling algorithm. Genetic second-tier tests were performed for 1.8% of a total of 22,883 NBS samples. The false positive rate for these six conditions after the NGS second-tier test was only 0.017%, and two cases of citrullinemia type II would have been missed as false negatives if only biochemical first-tier testing was performed. The confirmed true positive cases were citrullinemia type II (n = 2) and systemic primary carnitine deficiency (n = 1). The false positives were later confirmed to be carrier of citrullinemia type II (n = 2), carrier of glutaric acidemia type I (n = 1) and carrier of systemic primary carnitine deficiency (n = 1). There were no false negatives reported. The incorporation of a second-tier genetic screening test by NGS greatly enhanced our program's performance with 5-working days turn-around time maintained as before. In addition, early genetic information is available at the time of recall to facilitate better clinical management and genetic counseling.

A Children's Rights Framework for Genomic Medicine: Newborn Screening as a Use Case

The year 2023 marked the 60th anniversary of screening newborns in the United States for diseases that benefit from early identification and intervention. All around the world, the goal of NBS is to facilitate timely diagnosis and management to improve individual health outcomes in all newborns regardless of their place of birth, economic circumstances, ability to pay for treatment, and access to healthcare. Advances in technology to screen and treat disease have led to a rapid increase in the number of screened conditions, and innovations in genomics are expected to exponentially expand this number further. A system where all newborns are screened, coupled with rapid technological innovation, provides a unique opportunity to improve pediatric health outcomes and advance children's rights, including the unique rights of sick and disabled children. This is especially timely as we approach the 100th anniversary of the 1924 Geneva Declaration of the Rights of the Child, which includes children's right to healthcare, and the 1989 United Nations Convention on the Rights of the Child that expanded upon this aspect and affirmed each child's right to the highest attainable standard of health. In this manuscript, we provide background on the evolving recognition of the rights of children and the foundational rights to healthcare and non-discrimination, provide two examples that highlight issues to access and equity in newborn screening that may limit a child's right to healthcare and best possible outcomes, detail ways the current approach to newborn screening advances the rights of the child, and finally, propose that the incorporation of genomics into newborn screening presents a useful case study to recognize and uphold the rights of every child.

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.

RUBICON: a framework for designing efficient deep learning-based genomic basecallers

Nanopore sequencing generates noisy electrical signals that need to be converted into a standard string of DNA nucleotide bases using a computational step called basecalling. The performance of basecalling has critical implications for all later steps in genome analysis. Therefore, there is a need to reduce the computation and memory cost of basecalling while maintaining accuracy. We present RUBICON, a framework to develop efficient hardware-optimized basecallers. We demonstrate the effectiveness of RUBICON by developing RUBICALL, the first hardware-optimized mixed-precision basecaller that performs efficient basecalling, outperforming the state-of-the-art basecallers. We believe RUBICON offers a promising path to develop future hardware-optimized basecallers.

Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group in the Pediatric Population

BACKGROUND

The fundamental gap obstructing forward progress of evidenced-based care in pediatric and neonatal disorders of consciousness (DoC) is the lack of defining consensus-based terminology to perform comparative research. This lack of shared nomenclature in pediatric DoC stems from the inherently recursive dilemma of the inability to reliably measure consciousness in the very young. However, recent advancements in validated clinical examinations and technologically sophisticated biomarkers of brain activity linked to future abilities are unlocking this previously formidable challenge to understanding the DoC in the developing brain.

METHODS

To address this need, the first of its kind international convergence of an interdisciplinary team of pediatric DoC experts was organized by the Neurocritical Care Society's Curing Coma Campaign. The multidisciplinary panel of pediatric DoC experts proposed pediatric-tailored common data elements (CDEs) covering each of the CDE working groups including behavioral phenotyping, biospecimens, electrophysiology, family and goals of care, neuroimaging, outcome and endpoints, physiology and big Data, therapies, and pediatrics.

RESULTS

We report the working groups' pediatric-focused DoC CDE recommendations and disseminate CDEs to be used in studies of pediatric patients with DoC.

CONCLUSIONS

The CDEs recommended support the vision of progressing collaborative and successful internationally collaborative pediatric coma research.

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.

Newborn screening for severe combined immunodeficiency and inborn errors of immunity

PURPOSE OF REVIEW

Severe combined immune deficiency (SCID) is the most devastating genetic disease of the immune system with an unfavorable outcome unless diagnosed early in life. Newborn screening (NBS) programs play a crucial role in facilitating early diagnoses and timely interventions for affected infants.

RECENT FINDINGS

SCID marked the pioneering inborn error of immunity (IEI) to undergo NBS, a milestone achieved 15 years ago through the enumeration of T-cell receptor excision circles (TRECs) extracted from Guthrie cards. This breakthrough has revolutionized our approach to SCID, enabling not only presymptomatic identification and prompt treatments (including hematopoietic stem cell transplantation), but also enhancing our comprehension of the global epidemiology of SCID.

SUMMARY

NBS is continuing to evolve with the advent of novel diagnostic technologies and treatments. Following the successful implementation of SCID-NBS programs, a call for the early identification of additional IEIs is the next step, encompassing a broader spectrum of IEIs, facilitating early diagnoses, and preventing morbidity and mortality.

Characterizing Common Phenotypes Across the Childhood Dementia Disorders: A Cross-sectional Study From Two Australian Centers

BACKGROUND

Childhood dementias are a group of rare pediatric conditions characterized by progressive neurocognitive decline. Quantifying and characterising phenotypes to identify similarities between specific conditions is critical to inform opportunities to optimize care and advance research.

METHODS

This cross-sectional study recruited primary caregivers of children (<18 years) living with a dementia syndrome from neurology and metabolic clinics in Sydney and Adelaide, Australia. Sociodemographic and clinical data were collated. Behavior, eating, sleep, pain, and neurological disability were assessed using validated tools, including Strengths and Difficulties, Child Eating Behaviour, and Children's Sleep Habits questionnaires and visual analog of pain and modified Rankin scales. Data were analyzed with descriptive statistics.

RESULTS

Among 45 children with 23 different dementia syndromes, the modified Rankin Scale demonstrated at least moderate neurological disability and functional dependence in 82% (37/45). Families reported delays in receiving an accurate diagnosis following initial symptoms (mean: 1.6 ± 1.4 years, range: 0-5 years). The most prevalent phenotypes included communication, comprehension, or recall difficulties (87%, 39/45); disturbances in sleep (80%, 36/45); appetite changes (74%, 29/39); mobility issues (53%, 24/45); and hyperactive behavior (53%, 21/40). Behavioral problems had a "high" or "very high" impact on everyday family life in 73% (24/33).

CONCLUSIONS

Childhood dementia disorders share substantial behavioral, motor, sensory, and socioemotional symptoms, resulting in high care needs, despite their vast heterogeneity in age of onset and progression. Considering their unifying characteristics under one collective term is an opportunity to improve treatment, provide quality care, and accelerate research.

Genomic newborn screening for rare diseases

Rare diseases are a leading cause of infant mortality and lifelong disability. To improve outcomes, timely diagnosis and effective treatments are needed. Genomic sequencing has transformed the traditional diagnostic process, providing rapid, accurate and cost-effective genetic diagnoses to many. Incorporating genomic sequencing into newborn screening programmes at the population scale holds the promise of substantially expanding the early detection of treatable rare diseases, with stored genomic data potentially benefitting health over a lifetime and supporting further research. As several large-scale newborn genomic screening projects launch internationally, we review the challenges and opportunities presented, particularly the need to generate evidence of benefit and to address the ethical, legal and psychosocial issues that genomic newborn screening raises.