Evidence map›Paper›PMID 39677445›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Consultation informs strategies to improve functional evidence use in variant classification.

Rehan M Villani, Bronwyn Terrill, Emma Tudini, Maddison E McKenzie, Corrina C Cliffe, Christopher N Hahn, Ben Lundie, Tessa Mattiske, Ebony Matotek, Abbye E McEwen and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 · Who and what money

Authors and funding

17 authors.

Rehan M VillaniQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0001-8857-6271
Bronwyn TerrillAustralian Genomics, Murdoch Children's Research Institute, Melbourne, Australia.ORCID 0000-0003-0263-363X
Emma TudiniQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0002-5834-7862
Maddison E McKenzieQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0009-0006-3466-4210
Corrina C CliffeDouglass Hanly Moir Pathology, Macquarie Park, Australia.ORCID 0000-0003-4287-4307
Christopher N HahnDepartment of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia.ORCID 0000-0001-5105-2554
Ben LundiePathology Queensland, Queensland Health, Brisbane, Australia.ORCID 0000-0001-6749-7777
Tessa MattiskeAustralian Genomics, Australian Functional Genomics Network; Murdoch Childrens Research Institute, Parkville, Australia.ORCID 0000-0002-9581-5370
Ebony MatotekAustralian Genomics, Australian Functional Genomics Network; Murdoch Childrens Research Institute, Parkville, Australia.ORCID 0000-0001-9197-6540
Abbye E McEwenDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, United States.ORCID 0000-0001-7187-7975
Sarah L NickersonDepartment of Diagnostic Genomics, PathWest, QEII Medical Centre, Perth, Australia.ORCID 0009-0003-5294-6498
James BreenBlack Ochre Data Labs (Indigenous Genomics), Telethon Kids Institute & Australian National University, Adelaide, Australia.ORCID 0000-0001-6184-0925
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, United States.ORCID 0000-0001-7614-1713
John ChristodoulouGenomic Medicine Theme, Murdoch Children's Research Institute, Melbourne, Australia.ORCID 0000-0002-8431-0641
Lea StaritaDepartment of Genome Sciences, University of Washington, Seattle, United States.ORCID 0000-0003-2870-5099
Alan F RubinThe Walter and Eliza Hall Institute of Medical Research, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-1474-605X
Amanda B SpurdleQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0003-1337-7897

Funding

Advancing the implementation of variant-level functional data into clinical databases and clinical practiceR01HG013025 · NHGRI · UNIVERSITY OF WASHINGTON · PI Lea Starita, Andrew Ben Stergachis · 2023 to 2026
$3.1M
NHGRI NIH HHS R01 HG013025
6 · The paper itself

Abstract

To determine if a variant identified by diagnostic genetic testing is causal for disease, applied genetics professionals evaluate all available evidence to assign a clinical classification. Experimental assay data can provide strong functional evidence for or against pathogenicity in variant classification, but appears to be underutilised. We surveyed genetic diagnostic professionals in Australasia to assess their application of functional evidence in clinical practice. Results indicated that survey respondents are not confident to apply functional evidence, mainly due to uncertainty around practice recommendations. Respondents also identified need for support resources, educational opportunities, and in particular requested expert recommendations and updated practice guidelines to improve translation of experimental data to curation evidence. As an initial step, we have collated a list of functional assays recommended by 19 ClinGen Variant Curation Expert Panels as a source of international expert opinion on functional evidence evaluation. Additional support resources for diagnostic practice are in development.

Indexed as

assaydiagnostic geneticseducationFunctional evidencevariant classification

Identifiers

PMID39677445
PMCPMC11643179

What OpenQuestion 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 OpenQuestion graph.