Martin-Geary, AC;
Blakes, AJM;
Dawes, R;
Findlay, SD;
Lord, J;
Dong, S;
Walker, S;
Talbot-Martin, J;
Wieder, N;
D'Souza, EN;
et al.
Martin-Geary, AC; Blakes, AJM; Dawes, R; Findlay, SD; Lord, J; Dong, S; Walker, S; Talbot-Martin, J; Wieder, N; D'Souza, EN; Fernandes, M; Hilton, S; Lahiri, N; Campbell, C; Jenkinson, S; Degoede, CGEL; Anderson, ER; Candler, T; Firth, H; Burge, CB; Sanders, SJ; Ellingford, J; Baralle, D; Banka, S; Whiffin, N
(2025)
Systematic identification of disease-causing promoter and untranslated region variants in 8040 undiagnosed individuals with rare disease.
GENOME MEDICINE, 17 (1).
p. 40.
ISSN 1756-994X
https://doi.org/10.1186/s13073-025-01464-2
SGUL Authors: Lahiri, Nayana
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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 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. 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 Whilst 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.
Item Type: | Article | ||||||||||||||||||||||||
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Additional Information: | © Crown 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | ||||||||||||||||||||||||
Keywords: | Untranslated regions, Promoters, Splicing, Rare disease, Non-coding, Regulatory regions | ||||||||||||||||||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE) | ||||||||||||||||||||||||
Journal or Publication Title: | GENOME MEDICINE | ||||||||||||||||||||||||
ISSN: | 1756-994X | ||||||||||||||||||||||||
Language: | en | ||||||||||||||||||||||||
Publisher License: | Creative Commons: Attribution 4.0 | ||||||||||||||||||||||||
Projects: |
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URI: | https://openaccess.sgul.ac.uk/id/eprint/117612 | ||||||||||||||||||||||||
Publisher's version: | https://doi.org/10.1186/s13073-025-01464-2 |
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