ArticleAmerican journal of human genetics2025
Validating data from multiplex assays of variant effect: A CanVIG-UK national survey of NHS clinical scientists.
Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- 'Truthsets' for clinical validation of large-scale functional assays: Practice recommendations from Cancer Variant Interpretation Group UK (CanVIG-UK).medRxiv : the preprint server for health sciences · 2026Article
- When splicing is not all or none: GT>GC 5' splice-site variants as a model for intermediate effects and challenges in variant classification.HGG advances · 2026Article
- A comparative survey of functional evidence use in hearing and vision loss genetics.Communications medicine · 2026Article
- Functional assays for BRCA1 and BRCA2 variant analysis: new tools and their applications.NPJ breast cancer · 2026Review
- High-throughput mapping of 6,888bioRxiv : the preprint server for biology · 2026Article
- MaveMD: A functional data resource for genomic medicine.medRxiv : the preprint server for health sciences · 2025Article
- Consultation informs strategies for improving the use of functional evidence in variant classification.American journal of human genetics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
Advances in technology have made it possible for multiplex assays of variant effect (MAVEs) to systematically generate functional data for thousands of genetic variants. Robust clinical validation and accessible online resources for MAVE data have previously been identified as barriers to the clinical adoption of new MAVEs. We delivered a survey during the November 2024 Cancer Variant Interpretation Group UK (CanVIG-UK) meeting comprising National Health Service (NHS) clinical scientists and clinical geneticists and received 46 responses from individuals regularly performing variant classification for diagnostic reporting. Only 35% reported they would accept clinical validation of the MAVE provided by the authors who conducted the assay; 20% reported they would attempt clinical validation themselves, and 61% would await clinical validation by a trusted central body. 72% reported they would use MAVE data ahead of a formal peer-reviewed publication if reviewed and clinically validated by a trusted central body. When scoring central bodies on a scale of 1-5 for confidence in their review and validation of MAVEs, CanVIG-UK (median = 5), variant curation expert panels (VCEPs; median = 5), and ClinGen SVI Functional Working Group (median = 4) all scored highly. Participants supported making variant-level data accessible via a relevant web resource (although the majority of participants expressed that additional assay-level or variant-level information would have a low likelihood of altering validation scores provided by a trusted central body). These findings, from a comparatively homogeneous clinical diagnostic group operating in a resource-constrained healthcare setting, indicate that clinical application of new MAVEs for variant classification will be delayed unless robust clinical validations are performed by a trusted central body and made readily accessible.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.