Evidence map›Paper›PMID 33442025›Full record

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.

Nicole Ruiz-Schultz, David Sant, Stevie Norcross, Warunee Dansithong, Kim Hart, Bryce Asay, Jordan Little, Krystal Chung, Kelly F Oakeson, Erin L Young and 2 more

Abstract read
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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Newborn screening for neurodevelopmental diseases: Are we there yet?American journal of medical genetics. Part C, Seminars in medical genetics · 2022
    Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Nicole Ruiz-SchultzUtah Public Health Laboratory, Salt Lake City, UT, USA.
David SantDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Stevie NorcrossUtah Public Health Laboratory, Salt Lake City, UT, USA.
Warunee DansithongUtah Public Health Laboratory, Salt Lake City, UT, USA.
Kim HartUtah Public Health Laboratory, Salt Lake City, UT, USA.
Bryce AsayUtah Public Health Laboratory, Salt Lake City, UT, USA.
Jordan LittleDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Krystal ChungDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Kelly F OakesonUtah Public Health Laboratory, Salt Lake City, UT, USA.
Erin L YoungUtah Public Health Laboratory, Salt Lake City, UT, USA.
Karen EilbeckDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Andreas RohrwasserUtah Public Health Laboratory, Salt Lake City, UT, USA. arohrwasser@utah.gov.ORCID http://orcid.org/0000-0001-8767-6430

Funding

The Clinical Genome Resource - Expert Curation and EHR IntegrationU41HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, GODDARD, KATRINA A. · 2017 to 2020
$13.3M
NHGRI NIH HHS 5U41HG009650U.S. National Library of Medicine T15LM007124
6 · The paper itself

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.

Indexed as

ExomeNeonatal ScreeningExome SequencingFeasibility StudiesHigh-Throughput Nucleotide SequencingHumansInfant, Newborn

Identifiers

What OpenQuestion holds

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Registered trials

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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.