Evidence map›Paper›PMID 30851990›Full record

ArticleThe Journal of pediatrics2019

An Age-Based Framework for Evaluating Genome-Scale Sequencing Results in Newborn Screening.

Laura V Milko, Julianne M O'Daniel, Daniela M DeCristo, Stephanie B Crowley, Ann Katherine M Foreman, Kathleen E Wallace, Lonna F Mollison, Natasha T Strande, Zahra S Girnary, Lacey J Boshe and 8 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in The Journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Review
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  9. Review
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  13. Data-driven consideration of genetic disorders for global genomic newborn screening programs.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  14. Article
  15. Review
  16. Actionability of Genetic Variants in Diabetes: Core Aspects and Applied Examples.Diabetes spectrum : a publication of the American Diabetes Association · 2025
    Article
  17. Article
  18. A systematic framework for selecting gene-condition pairs for inclusion in newborn sequencing panels: Early Check implementation.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  19. Measuring perceived utility of genomic sequencing: Development and validation of the GENEtic Utility (GENE-U) scale for adult screening.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Laura V MilkoDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Julianne M O'DanielDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Daniela M DeCristoDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Stephanie B CrowleyDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Ann Katherine M ForemanDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Kathleen E WallaceDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Lonna F MollisonDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Natasha T StrandeDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC; Department of Pathology and Laboratory Medicine, UNC Chapel Hill, Chapel Hill, NC.
Zahra S GirnaryDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Lacey J BosheDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Arthur S AylsworthDepartment of Pediatrics, Division of Genetics and Metabolism, UNC Chapel Hill, Chapel Hill, NC.
Muge Gucsavas-CalikogluDepartment of Pediatrics, Division of Genetics and Metabolism, UNC Chapel Hill, Chapel Hill, NC.
Dianne M FrazierDepartment of Pediatrics, Division of Genetics and Metabolism, UNC Chapel Hill, Chapel Hill, NC.
Neeta L VoraDepartment of Obstetrics and Gynecology, UNC Chapel Hill, Chapel Hill, NC.
Myra I RocheDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC; Department of Pediatrics, Division of Genetics and Metabolism, UNC Chapel Hill, Chapel Hill, NC.
Bradford C PowellDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC.
Cynthia M PowellDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC; Department of Pediatrics, Division of Genetics and Metabolism, UNC Chapel Hill, Chapel Hill, NC.
Jonathan S BergDepartment of Genetics, UNC Chapel Hill, Chapel Hill, NC. Electronic address: jsberg@med.unc.edu.

Funding

NC NEXUS, North Carolina Newborn Exome Sequencing for Universal ScreeningU19HD077632 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, POWELL, CYNTHIA MARION · 2013 to 2018
$6.3M
Early Genomic DiagnosisK23HD088742 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VORA, NEETA L · 2017 to 2020
$685k
NICHD NIH HHS K23 HD088742NICHD NIH HHS U19 HD077632
6 · The paper itself

Abstract

objectiveTo assess the performance of a standardized, age-based metric for scoring clinical actionability to evaluate conditions for inclusion in newborn screening and compare it with the results from other contemporary methods. STUDY

designThe North Carolina Newborn Exome Sequencing for Universal Screening study developed an age-based, semiquantitative metric to assess the clinical actionability of gene-disease pairs and classify them with respect to age of onset or timing of interventions. This categorization was compared with the gold standard Recommended Uniform Screening Panel and other methods to evaluate gene-disease pairs for newborn genomic sequencing.

resultsWe assessed 822 gene-disease pairs, enriched for pediatric onset of disease and suspected actionability. Of these, 466 were classified as having childhood onset and high actionability, analogous to conditions selected for the Recommended Uniform Screening Panel core panel. Another 245 were classified as having childhood onset and low to no actionability, 25 were classified as having adult onset and high actionability, 19 were classified as having adult onset and low to no actionability, and 67 were excluded due to controversial evidence and/or prenatal onset.

conclusionsThis study describes a novel method to facilitate decisions about the potential use of genomic sequencing for newborn screening. These categories may assist parents and physicians in making informed decisions about the disclosure of results from voluntary genomic sequencing in children.

Indexed as

Chromosome MappingDecision Making, SharedExome SequencingFemaleGenetic Diseases, InbornGenetic TestingGenome, HumanHumansInfant, NewbornMaleNeonatal ScreeningNorth CarolinaSequence Analysis, DNAactionabilityASQMdecision-makingdisclosuregeneticsNC NEXUSNGS-NBSNSIGHT

Identifiers

PMID30851990
PMCPMC6535354

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.