Evidence map›Paper›PMID 36747048›Full record

ArticleNature genetics2023

SpliceVault predicts the precise nature of variant-associated mis-splicing.

Ruebena Dawes, Adam M Bournazos, Samantha J Bryen, Shobhana Bommireddipalli, Rhett G Marchant, Himanshu Joshi, Sandra T Cooper

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. AAVC: An automated framework for high-accuracy ACMG-based variant classification.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
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  3. Review
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  14. Human mutation · 2026
    Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

5 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Ruebena Dawes *Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-2135-0117
Adam M Bournazos *Kids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-6464-4548
Samantha J BryenKids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-4140-8622
Shobhana BommireddipalliKids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Rhett G MarchantKids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Himanshu JoshiKids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Sandra T CooperKids Neuroscience Centre, Kids Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia. sandra.cooper@sydney.edu.au.ORCID http://orcid.org/0000-0002-7314-5097
The University of Sydney · AUChildren's Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even for essential splice-site variants that are almost guaranteed to alter mRNA splicing, no current method can reliably predict whether exon-skipping, cryptic activation or multiple events will result, greatly complicating clinical interpretation of pathogenicity. Strikingly, ranking the four most common unannotated splicing events across 335,663 reference RNA-sequencing (RNA-seq) samples (300K-RNA Top-4) predicts the nature of variant-associated mis-splicing with 92% sensitivity. The 300K-RNA Top-4 events correctly identify 96% of exon-skipping events and 86% of cryptic splice sites for 140 clinical cases subject to RNA testing, showing higher sensitivity and positive predictive value than SpliceAI. Notably, RNA re-analyses showed we had missed 300K-RNA Top-4 events for several clinical cases tested before the development of this empirical predictive method. Simply, mis-splicing events that happen around a splice site in RNA-seq data are those most likely to be activated by a splice-site variant. The SpliceVault web portal allows users easy access to 300K-RNA for informed splice-site variant interpretation and classification.

Indexed as

RNA Splice SitesRNA SplicingAlternative SplicingBase SequenceRNA Splice Sites

Identifiers

PMID36747048
PMCPMC9925382
OpenAlexW4319311848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.