Evidence map›Paper›PMID 41421497›Full record

ArticleThe Journal of molecular diagnostics : JMD2026

Piloting an Interpretive External Quality Assurance Model for Genomic Testing for Childhood Syndromes and Intellectual Disability.

Ben Lundie, Sze Yee Chai, Alicia B Byrne, Dimitar Azmanov, John Christodoulou, Matilda A Haas, Karin S Kassahn, Sebastian Lunke, Ami Stott, Bryony A Thompson and 2 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ben LundiePathology Queensland, Brisbane, Queensland, Australia; Institute for Medical Bioscience, University of Queensland, St Lucia, Queensland, Australia. Electronic address: ben.lundie@health.qld.gov.au.
Sze Yee ChaiRoyal College of Pathologists of Australasia Quality Assurance Programs, Sydney, New South Wales, Australia.
Alicia B ByrneProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Dimitar AzmanovDepartment of Diagnostic Genomics, PathWest Laboratory Medicine, Perth, Western Australia, Australia.
John ChristodoulouMurdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.
Matilda A HaasMurdoch Children's Research Institute, Parkville, Victoria, Australia; Australian Genomics, Parkville, Victoria, Australia.
Karin S KassahnGenetics and Molecular Pathology, SA Pathology, Adelaide, South Australia, Australia; Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
Sebastian LunkeMurdoch Children's Research Institute, Parkville, Victoria, Australia; Victorian Clinical Genetics Services, Parkville, Victoria, Australia; Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia.
Ami StottAustralian Genomics, Parkville, Victoria, Australia.
Bryony A ThompsonDepartment of Pathology, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Tony BadrickRoyal College of Pathologists of Australasia Quality Assurance Programs, Sydney, New South Wales, Australia.
Bruce BennettsWestern Sydney Genetics Program, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few external quality assurance programs adequately address the complexity of largescale human genome or exome analysis. To bridge this gap, Australian Genomics and the Royal College of Pathologists of Australasia Quality Assurance Programs (QAP) developed a pilot interpretive module focused on genomic testing for childhood syndromes and intellectual disabilities. The program assessed laboratories' proficiency in interpreting complex genomic data for pediatric disorders. Six clinically accredited laboratories analyzed standardized genomic, phenotypic, and referral data. Reports were evaluated using a rubric adapted from the European Molecular Genetics Quality Network model, covering genotyping, variant classification, interpretation, and report content. Feedback included comparative performance results and individual recommendations. All laboratories correctly identified and classified target variants, but variation was observed in report structure, inclusion of genetic counseling advice, and application of the American College of Medical Genetics and Genomics/Association for Molecular Pathology classification framework. Participants noted that data-sharing limitations and differences in local reporting practices contributed to scoring inconsistencies. The pilot demonstrated the feasibility of a disease-specific interpretive QAP for complex pediatric genomic testing. Future rounds will address logistical challenges, refine scoring criteria, and strengthen standardization, supporting broader implementation. This initiative lays the groundwork for integrating specialized QAP modules into routine practice to improve diagnostic accuracy and consistency across laboratories.

Indexed as

Genetic TestingGenomicsIntellectual DisabilityQuality Assurance, Health CareAustraliaChildGenome, HumanHumansPilot Projects

Identifiers

PMID41421497
PMCPMC12975379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.