Evidence map›Paper›PMID 35883178›Full record

ArticleGenome medicine2022

A systematic analysis of splicing variants identifies new diagnoses in the 100,000 Genomes Project.

Alexander J M Blakes, Htoo A Wai, Ian Davies, Hassan E Moledina, April Ruiz, Tessy Thomas, David Bunyan, N Simon Thomas, Christine P Burren, Lynn Greenhalgh and 10 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
9.9field-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

40 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Genetic background shapes AI-predicted variant effects.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Identification of Intronic Variants inNeurology. Genetics · 2026
    Article
  9. Article
  10. Clinical and Molecular Genetic Study of an Alagille Syndrome Type 1 Case.Advances in experimental medicine and biology · 2026
    Article
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  12. Article
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  14. Review
  15. Article
  16. Review
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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

20 authors at 9 institutions in 1 country.

Alexander J M BlakesFaculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK.
Htoo A WaiFaculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK.
Ian DaviesCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Hassan E MoledinaFaculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK.
April RuizWessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK.
Tessy ThomasWessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK.
David BunyanWessex Regional Genetics Laboratory, Salisbury District Hospital, Salisbury, UK.
N Simon ThomasWessex Regional Genetics Laboratory, Salisbury District Hospital, Salisbury, UK.
Christine P BurrenDepartment of Paediatric Endocrinology and Diabetes, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Lynn GreenhalghLiverpool Centre for Genomic Medicine, Crown Street, Liverpool, UK.
Melissa LeesNorth East Thames Regional Genomics Service, Great Ormond Street Hospital, London, UK.
Amanda PichiniDepartment of Clinical Genetics, University Hospitals Bristol and Weston Foundation Trust, Bristol, UK.
Sarah F SmithsonDepartment of Clinical Genetics, University Hospitals Bristol and Weston Foundation Trust, Bristol, UK.
Ana Lisa Taylor TavaresGenomics England, Dawson Hall, Charterhouse Square, London, UK.
Peter O'DonovanGenomics England, Dawson Hall, Charterhouse Square, London, UK.
Andrew G L DouglasFaculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK.
Genomics England Research Consortium, Splicing and Disease Working Group
Nicola WhiffinWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Diana Baralle *Faculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK.
Jenny Lord *Faculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK. jenny.lord@soton.ac.uk.ORCID 0000-0002-0539-9343
University of Southampton · GBPrincess Anne Hospital · GBUniversity Hospitals Bristol NHS Foundation Trust · GBSalisbury District Hospital · GBCambridge University Hospitals NHS Foundation Trust · GBCentre for Human Genetics · GBGenomics England · GBGreat Ormond Street Hospital · GBOxford University Hospitals NHS Trust · GB

Funding

National Institute for Health Research RP-2016-07-011Wellcome TrustWellcome Trust 220134/Z/20/Z
6 · The paper itself

Abstract

backgroundGenomic variants which disrupt splicing are a major cause of rare genetic diseases. However, variants which lie outside of the canonical splice sites are difficult to interpret clinically. Improving the clinical interpretation of non-canonical splicing variants offers a major opportunity to uplift diagnostic yields from whole genome sequencing data.

methodsHere, we examine the landscape of splicing variants in whole-genome sequencing data from 38,688 individuals in the 100,000 Genomes Project and assess the contribution of non-canonical splicing variants to rare genetic diseases. We use a variant-level constraint metric (the mutability-adjusted proportion of singletons) to identify constrained functional variant classes near exon-intron junctions and at putative splicing branchpoints. To identify new diagnoses for individuals with unsolved rare diseases in the 100,000 Genomes Project, we identified individuals with de novo single-nucleotide variants near exon-intron boundaries and at putative splicing branchpoints in known disease genes. We identified candidate diagnostic variants through manual phenotype matching and confirmed new molecular diagnoses through clinical variant interpretation and functional RNA studies.

resultsWe show that near-splice positions and splicing branchpoints are highly constrained by purifying selection and harbour potentially damaging non-coding variants which are amenable to systematic analysis in sequencing data. From 258 de novo splicing variants in known rare disease genes, we identify 35 new likely diagnoses in probands with an unsolved rare disease. To date, we have confirmed a new diagnosis for six individuals, including four in whom RNA studies were performed.

conclusionsOverall, we demonstrate the clinical value of examining non-canonical splicing variants in individuals with unsolved rare diseases.

Indexed as

Rare DiseasesRNA SplicingExonsHumansIntronsRNARNA

Identifiers

PMID35883178
PMCPMC9327385
OpenAlexW4288037877

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.