ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021
Methods and feasibility study for exome sequencing as a universal second-tier test in newborn screening.
Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Second-Tier Whole Exome Sequencing Following Abnormal Newborn Screening: Diagnostic Yield, Secondary Findings, and Carrier Burden in a Taiwanese Neonatal Cohort.Children (Basel, Switzerland) · 2026Article
- Improving newborn screening accuracy through genome sequencing, targeted metabolomics, and machine learning.BMC medical genomics · 2025Article
- Newborn Screening for Metachromatic Leukodystrophy: A Systematic Literature Review.International journal of neonatal screening · 2025Review
- CFTR haplotype phasing using long-read genome sequencing from ultralow input DNA.Genetics in medicine open · 2025Article
- Current Status of Newborn Bloodspot Screening Worldwide 2024: A Comprehensive Review of Recent Activities (2020-2023).International journal of neonatal screening · 2024Review
- Is Our Newborn Screening Working Well? A Literature Review of Quality Requirements for Newborn Blood Spot Screening (NBS) Infrastructure and Procedures.International journal of neonatal screening · 2023Review
- Newborn screening for neurodevelopmental diseases: Are we there yet?American journal of medical genetics. Part C, Seminars in medical genetics · 2022Article
- Opportunities and challenges in machine learning-based newborn screening-A systematic literature review.JIMD reports · 2022Article
- Implementation of Hospital-Based Supplemental Duchenne Muscular Dystrophy Newborn Screening (sDMDNBS): A Pathway to Broadening Adoption.International journal of neonatal screening · 2021Article
- Scalable Newborn Screening Solutions: Bioinformatics and Next-Generation Sequencing.International journal of neonatal screening · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
purposeNewborn screening disorders increasingly require genetic variant analysis as part of second-tier or confirmatory testing. Sanger sequencing and gene-specific next-generation sequencing (NGS)-based tests, the current methods of choice, are costly and lack scalability when expanding to new conditions. We describe a scalable, exome sequencing-based NGS pipeline with a priori analysis restriction that can be universally applied to any NBS disorder.
methodsDe-identified abnormal newborn screening specimens representing severe combined immune deficiency (SCID), cystic fibrosis (CF), VLCAD deficiency, metachromatic leukodystrophy (MLD), and in silico sequence read data sets were used to validate the pipeline. To support interpretation and clinical decision-making within the bioinformatics pipeline, variants from multiple databases were curated and validated.
resultsCFTR variant panel analysis correctly identified all variants. Concordance compared with diagnostic testing results for targeted gene analysis was between 78.6% and 100%. Validation of the bioinformatics pipeline with in silico data sets revealed a 100% detection rate. Varying degrees of overlap were observed between ClinVar and other databases ranging from 3% to 65%. Data normalization revealed that 11% of variants across the databases required manual curation.
conclusionThis pipeline allows for restriction of analysis to variants within a single gene or multiple genes, and can be readily expanded to full exome analysis if clinically indicated and parental consent is granted.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.