Evidence map›Paper›PMID 40229884›Full record

ArticleGenome medicine2025

Systematic identification of disease-causing promoter and untranslated region variants in 8040 undiagnosed individuals with rare disease.

Alexandra C Martin-Geary, Alexander J M Blakes, Ruebena Dawes, Scott D Findlay, Jenny Lord, Shan Dong, Susan Walker, Jonathan Talbot-Martin, Nechama Wieder, Elston N D'Souza and 15 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  3. Article
  4. Review
  5. Article
  6. A Structural Variant in the 5' Regulatory Region ofInternational archives of otorhinolaryngology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Alexandra C Martin-GearyBig Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK. alex.geary@well.ox.ac.uk.
Alexander J M BlakesManchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9WL, UK.
Ruebena DawesBig Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Scott D FindlayDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jenny LordSchool of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK.
Shan DongInstitute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Susan WalkerGenomics England, Level 21, One Canada Square, Canada Square, Canary Wharf, London, E14 5AB, UK.
Jonathan Talbot-MartinDepartment of Bioengineering, Imperial College London, London, UK, SW7 2AZ.
Nechama WiederBig Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Elston N D'SouzaBig Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Maria FernandesBig Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Sarah HiltonManchester Centre for Genomic Medicine, Health Innovation Manchester, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.
Nayana LahiriInstitute of Molecular and Clinical Sciences, St George's, University of London & St George's University Hospitals NHS Foundation Trust, London, SW17 0QT, UK.
Christopher CampbellManchester Centre for Genomic Medicine, Health Innovation Manchester, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.
Sarah JenkinsonManchester Centre for Genomic Medicine, Health Innovation Manchester, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.
Christian G E L DeGoedeDepartment of Paediatric Neurology, Clinical research Facility, Lancashire Teaching Hospitals NHS Trust, Lancashire, PR2 9HT, UK.
Emily R AndersonLiverpool Centre for Genomic Medicine, Liverpool Women's Hospital, Liverpool, L8 7SS, UK.
Toby CandlerDepartment of Paediatric Endocrinology and Diabetes, Education Centre, Bristol Royal Hospital for Children, Level 6 Upper Maudlin Street, Bristol, BS2 8BJ, UK.
Helen FirthCambridge University Hospitals, Cambridge, CB2 0QQ, UK.
Christopher B BurgeDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Stephan J SandersInstitute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK.
Jamie EllingfordManchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9WL, UK.
Diana BaralleGenomics England, Level 21, One Canada Square, Canada Square, Canary Wharf, London, E14 5AB, UK.
Siddharth BankaManchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9WL, UK.
Nicola WhiffinBig Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK. nwhiffin@well.ox.ac.uk.

Funding

Wellcome Trust 220134
6 · The paper itself

Abstract

backgroundBoth promoters and untranslated regions (UTRs) have critical regulatory roles, yet variants in these regions are largely excluded from clinical genetic testing due to difficulty in interpreting pathogenicity. The extent to which these regions may harbour diagnoses for individuals with rare disease is currently unknown.

methodsWe present a framework for the identification and annotation of potentially deleterious proximal promoter and UTR variants in known dominant disease genes. We use this framework to annotate de novo variants (DNVs) in 8040 undiagnosed individuals in the Genomics England 100,000 genomes project, which were subject to strict region-based filtering, clinical review, and validation studies where possible. In addition, we performed region and variant annotation-based burden testing in 7862 unrelated probands against matched unaffected controls.

resultsWe prioritised eleven DNVs and identified an additional variant overlapping one of the eleven. Ten of these twelve variants (82%) are in genes that are a strong match to the individual's phenotype and six had not previously been identified. Through burden testing, we did not observe a significant enrichment of potentially deleterious promoter and/or UTR variants in individuals with rare disease collectively across any of our region or variant annotations.

conclusionsWhilst screening promoters and UTRs can uncover additional diagnoses for individuals with rare disease, including these regions in diagnostic pipelines is not likely to dramatically increase diagnostic yield. Nevertheless, we provide a framework to aid identification of these variants.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationPromoter Regions, GeneticRare DiseasesUntranslated RegionsGenetic TestingHumansMolecular Sequence AnnotationUntranslated RegionsNon-codingPromotersRare diseaseRegulatory regionsSplicingUntranslated regions

Identifiers

PMID40229884
PMCPMC11998461

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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.