Evidence map›Paper›PMID 38535124›Full record

ArticleInternational journal of neonatal screening2024

Future of Dutch NGS-Based Newborn Screening: Exploring the Technical Possibilities and Assessment of a Variant Classification Strategy.

Gea Kiewiet, Dineke Westra, Eddy N de Boer, Emma van Berkel, Tom G J Hofste, Martine van Zweeden, Ronny C Derks, Nico F A Leijsten, Martina H A Ruiterkamp-Versteeg, Bart Charbon and 9 more

Open access · goldAbstract read
In one paragraph

Article in International journal of neonatal screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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

19 authors at 4 institutions in 1 country.

Gea KiewietDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Dineke WestraDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.ORCID 0000-0002-5567-1704
Eddy N de BoerDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-7138-8642
Emma van BerkelDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Tom G J HofsteDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Martine van ZweedenDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Ronny C DerksDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Nico F A LeijstenDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Martina H A Ruiterkamp-VersteegDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Bart CharbonDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Lennart JohanssonDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-4914-3737
Janneke Bos-KruizingaDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Inge J VeenstraDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Monique G M de Sain-van der VeldenSection Metabolic Diagnostics, Department of Genetics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Els VoorhoeveCentre for Health Protection, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands.ORCID 0000-0002-7426-395X
M Rebecca Heiner-FokkemaDepartment of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-3477-0770
Francjan van SpronsenDivision of Metabolic Diseases, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-3773-1929
Birgit Sikkema-RaddatzDepartment of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Marcel NelenDepartment of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
University Medical Center Groningen · NLRadboud University Nijmegen · NLNational Institute for Public Health and the Environment · NLUniversity Medical Center Utrecht · NL

Funding

Netherlands Organisation for Health Research and Development 05430021810015
6 · The paper itself

Abstract

In this study, we compare next-generation sequencing (NGS) approaches (targeted panel (tNGS), whole exome sequencing (WES), and whole genome sequencing (WGS)) for application in newborn screening (NBS). DNA was extracted from dried blood spots (DBS) from 50 patients with genetically confirmed inherited metabolic disorders (IMDs) and 50 control samples. One hundred IMD-related genes were analyzed. Two data-filtering strategies were applied: one to detect only (likely) pathogenic ((L)P) variants, and one to detect (L)P variants in combination with variants of unknown significance (VUS). The variants were filtered and interpreted, defining true/false positives (TP/FP) and true/false negatives (TN/FN). The variant filtering strategies were assessed in a background cohort (BC) of 4833 individuals. Reliable results were obtained within 5 days. TP results (47 patient samples) for tNGS, WES, and WGS results were 33, 31, and 30, respectively, using the (L)P filtering, and 40, 40, and 38, respectively, when including VUS. FN results were 11, 13, and 14, respectively, excluding VUS, and 4, 4, and 6, when including VUS. The remaining FN were mainly samples with a homozygous VUS. All controls were TN. Three BC individuals showed a homozygous (L)P variant, all related to a variable, mild phenotype. The use of NGS-based workflows in NBS seems promising, although more knowledge of data handling, automated variant interpretation, and costs is needed before implementation.

Indexed as

dried blood spotsinherited metabolic disordernewborn screeningnext-generation sequencing

Identifiers

PMID38535124
PMCPMC10971161
OpenAlexW4392562722

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.