Evidence map›Paper›PMID 41323408›Full record

ArticleBMJ medicine2025

Challenges in evaluating whole genome sequencing for newborn screening: series of systematic reviews and roadmap for evidence generation for policy advisers.

Karoline Freeman, Dylan Taylor, Jacqueline Dinnes, Corinna C A Clark, Inès Kander, Katie Scandrett, Shivashri Chockalingam, Naila Dracup, Rachel Court, Furqan Butt and 12 more

Abstract read
In one paragraph

Article in BMJ medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

22 authors.

Karoline FreemanWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-9963-2918
Dylan TaylorWarwick Medical School, University of Warwick, Coventry, UK.
Jacqueline DinnesDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0003-1343-7335
Corinna C A ClarkWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-1077-9383
Inès KanderWarwick Medical School, University of Warwick, Coventry, UK.
Katie ScandrettDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0001-6111-2805
Shivashri ChockalingamWarwick Medical School, University of Warwick, Coventry, UK.
Naila DracupWarwick Medical School, University of Warwick, Coventry, UK.
Rachel CourtWarwick Medical School, University of Warwick, Coventry, UK.
Furqan ButtWarwick Medical School, University of Warwick, Coventry, UK.
Cristina VisintinUK National Screening Committee, London, UK.ORCID https://orcid.org/0009-0006-4250-2924
James R BonhamSheffield Children's NHS Foundation Trust, Sheffield, UK.
David EllimanGreat Ormond Street Hospital for Children, London, UK.ORCID https://orcid.org/0000-0002-8128-2825
Graham ShortlandUK National Screening Committee, London, UK.
Anne MackieUK National Screening Committee, London, UK.
Zosia Helena MiedzybrodzkaDivision of Applied Medicine, University of Aberdeen College of Life Sciences and Medicine, Aberdeen, UK.
Sian Mair MorganAll Wales Medical Genomics Service, Cardiff, UK.ORCID https://orcid.org/0000-0002-4943-653X
Felicity Kate BoardmanWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-3268-6276
Yemisi TakwoingiDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0002-5828-9746
Bethany ShinkinsWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0001-5350-1018
Aileen ClarkeWarwick Medical School, University of Warwick, Coventry, UK.
Sian Taylor-PhillipsWarwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-1841-4346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractObjective: To evaluate systematic review approaches to synthesising evidence for policy advisers who are considering whether to screen newborns for hundreds of rare diseases using whole genome sequencing. Design: Series of systematic reviews and roadmap for evidence generation for policy advisers. Data sources: Medline, Embase, Science Citation Index, Cochrane Library. Methods: 200 conditions included in Genomics England's Generation Study were stratified into five groups and one condition randomly selected from each group using criteria designed to maximise variability and availability of data. 30 systematic reviews were undertaken (five conditions, six review questions) about penetrance, detection rate, accuracy, benefit of earlier treatment, and benefits and harms of screening for the five conditions (search from inception to November 2023). Results were synthesised and reviewer time recorded. Genomic studies of newborn screening cohorts that reported penetrance were systematically reviewed using a non-condition specific approach (search inception to January 2024). The conditions and genes selected for reporting by these studies were identified. ClinGen was explored for synthesising evidence. All approaches were assessed by considering review effort and level and quality of evidence. Results: The five conditions selected for systematic review were pyridoxine dependent epilepsy, heritable retinoblastoma, X linked hypophosphataemic rickets, familial haemophagocytic lymphohistiocytosis, and medium chain acyl-CoA dehydrogenase deficiency. 19 689 titles were screened and 268 papers included that addressed two of six research questions (detection rate and treatment benefit). No studies were identified for the remaining four research questions. Total reviewer time for five conditions was seven months. A team of five reviewers would take over 20 years to conduct similar reviews for 200 conditions. 10 published genomic studies of newborn screening cohorts were identified with a total of 76 268 newborns. The number of conditions screened for varied from 74 to 903, with low concordance (two of 1453 genes were included in all 10 studies). Selection of conditions was primarily based on clinical opinion. All studies reported and acted on genetic findings considered clinically significant, preventing collection of penetrance data. Conclusions: Current evidence synthesis methods are neither feasible nor fruitful to provide policy advisers like the UK National Screening Committee with the evidence needed to understand the benefits and harms of newborn screening for multiple conditions using whole genome sequencing because the evidence is not available to synthesise. Evidence should be created through studies that only report pathogenic variants to parents and clinicians where penetrance and expressivity have been established through empirical evidence rather than clinical opinion. A roadmap for future evidence generation is proposed to highlight the need for new evidence generation combined with a staged approach to evaluation, focusing on pathogenic variants with evidence of high penetrance and expressivity. Registration: Review registration PROSPERO (CRD42023475529).

Indexed as

Genetics, medicalHealth policyPediatrics

Identifiers

PMID41323408
PMCPMC12658509

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.