Evidence map›Paper›PMID 33781310›Full record

ArticleGenome medicine2021

Actionability of commercial laboratory sequencing panels for newborn screening and the importance of transparency for parental decision-making.

Daniela M DeCristo, Laura V Milko, Julianne M O'Daniel, Ann Katherine M Foreman, Lonna F Mollison, Bradford C Powell, Cynthia M Powell, Jonathan S Berg

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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
  7. Article
  8. Review
  9. 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
  10. Genomic newborn screening for rare diseases.Nature reviews. Genetics · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Establishing the Medical Actionability of Genomic Variants.Annual review of genomics and human genetics · 2022
    Review
  18. The Progress and Future of US Newborn Screening.International journal of neonatal screening · 2022
    Review
  19. Dispatches from Biotech beginning BeginNGS: Rapid newborn genome sequencing to end the diagnostic and therapeutic odyssey.American journal of medical genetics. Part C, Seminars in medical genetics · 2022
    Article
  20. Review
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

8 authors at 1 institution in 1 country.

Daniela M DeCristoDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Laura V MilkoDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Julianne M O'DanielDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Ann Katherine M ForemanDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Lonna F MollisonDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Bradford C PowellDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Cynthia M PowellDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA.
Jonathan S BergDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA. jonathan_berg@med.unc.edu.ORCID 0000-0003-2360-2664
University of North Carolina at Chapel Hill · US

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
NICHD NIH HHS U19 HD077632
6 · The paper itself

Abstract

backgroundNewborn screening aims to identify individual patients who could benefit from early management, treatment, and/or surveillance practices. As sequencing technologies have progressed and we move into the era of precision medicine, genomic sequencing has been introduced to this area with the hopes of detecting variants related to a vastly expanded number of conditions. Though implementation of genomic sequencing for newborn screening in public health and clinical settings is limited, commercial laboratories have begun to offer genomic screening panels for neonates.

methodsWe examined genes listed on four commercial laboratory genomic screening panels for neonates and assessed their clinical actionability using an established age-based semi-quantitative metric to categorize them. We identified genes that were included on multiple panels or distinct between panels.

resultsThree hundred and nine genes appeared on one or more commercial panels: 74 (23.9%) genes were included in all four commercial panels, 45 (14.6%) were on only three panels, 76 (24.6%) were on only two panels, and 114 (36.9%) genes were listed on only one of the four panels. Eighty-two genes (26.5%) listed on one or more panels were assessed by our method to be inappropriate for newborn screening and to require additional parental decision-making. Conversely, 249 genes that we previously identified as being highly actionable were not listed on any of the four commercial laboratory genomic screening panels.

conclusionsCommercial neonatal genomic screening panels have heterogeneous content and may contain some conditions with lower actionability than would be expected for public health newborn screening; conversely, some conditions with higher actionability may be omitted from these panels. The lack of transparency about how conditions are selected suggests a need for greater detail about panel content in order for parents to make informed decisions. The nuanced activity of gene list selection for genomic screening should be iteratively refined with evidence-based approaches to provide maximal benefit and minimal harm to newborns.

Indexed as

Clinical Decision-MakingClinical Laboratory TechniquesHigh-Throughput Nucleotide SequencingNeonatal ScreeningParentsAdultGenome, HumanHumansInfant, NewbornPhenotype

Identifiers

PMID33781310
PMCPMC8008582
OpenAlexW3150393819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.