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Systematic identification of disease-causing promoter and untranslated region variants in 8,040 undiagnosed individuals with rare disease.
Martin-Geary, Alexandra C; Blakes, Alexander J M; Dawes, Ruebena; Findlay, Scott D; Lord, Jenny; Walker, Susan; Talbot-Martin, Jonathan; Wieder, Nechama; D'Souza, Elston N; Fernandes, Maria; Hilton, Sarah; Lahiri, Nayana; Campbell, Christopher; Jenkinson, Sarah; DeGoede, Christian G E L; Anderson, Emily R; Burge, Christopher B; Sanders, Stephan J; Ellingford, Jamie; Baralle, Diana; Banka, Siddharth; Whiffin, Nicola.
Afiliación
  • Martin-Geary AC; Big Data Institute, University of Oxford, UK.
  • Blakes AJM; Wellcome Centre for Human Genetics, University of Oxford, UK.
  • Dawes R; Manchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Findlay SD; Big Data Institute, University of Oxford, UK.
  • Lord J; Wellcome Centre for Human Genetics, University of Oxford, UK.
  • Walker S; Department of Biology, Massachusetts Institute of Technology, Cambridge, USA.
  • Talbot-Martin J; Genomics England, UK.
  • Wieder N; Genomics England, UK.
  • D'Souza EN; Department of Bioengineering, Imperial College London, UK.
  • Fernandes M; Big Data Institute, University of Oxford, UK.
  • Hilton S; Wellcome Centre for Human Genetics, University of Oxford, UK.
  • Lahiri N; Big Data Institute, University of Oxford, UK.
  • Campbell C; Wellcome Centre for Human Genetics, University of Oxford, UK.
  • Jenkinson S; Big Data Institute, University of Oxford, UK.
  • DeGoede CGEL; Wellcome Centre for Human Genetics, University of Oxford, UK.
  • Anderson ER; Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester M13 9WL, UK.
  • Burge CB; St George's, University of London & St George's University Hospitals NHS Foundation Trust, Institute of Molecular and Clinical Sciences, London, SW17 0QT, UK.
  • Sanders SJ; Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester M13 9WL, UK.
  • Ellingford J; Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester M13 9WL, UK.
  • Baralle D; Department of Paediatric Neurology, Clinical research Facility, Lancashire Teaching Hospitals NHS Trust.
  • Banka S; Manchester Metropolitan University.
  • Whiffin N; Liverpool Centre for Genomic Medicine, Liverpool Women's Hospital, Liverpool, UK.
medRxiv ; 2023 Sep 12.
Article en En | MEDLINE | ID: mdl-37745552
ABSTRACT

Background:

Both 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.

Methods:

We 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 8,040 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 7,862 unrelated probands against matched unaffected controls.

Results:

We 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.

Conclusions:

Overall, we demonstrate the value of screening promoters and UTRs to uncover additional diagnoses for previously undiagnosed individuals with rare disease and provide a framework for doing so without dramatically increasing interpretation burden.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido