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Characterising the loss-of-function impact of 5' untranslated region variants in 15,708 individuals
File | Description | Size | Format | |
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s41467-019-10717-9.pdf | 1.36 MB | Adobe PDF | View/Open | |
s41467-019-10717-9.pdf | Published version | 1.01 MB | Adobe PDF | View/Open |
Title: | Characterising the loss-of-function impact of 5' untranslated region variants in 15,708 individuals |
Authors: | Whiffin, N Karczewski, KJ Zhang, X Chothani, S Smith, MJ Evans, DG Roberts, AM Quaife, NM Schafer, S Rackham, O Alföldi, J O'Donnell-Luria, AH Francioli, LC Genome Aggregation Database Production Team Genome Aggregation Database Consortium Cook, SA Barton, PJR MacArthur, DG Ware, JS |
Item Type: | Journal Article |
Abstract: | Upstream open reading frames (uORFs) are tissue-specific cis-regulators of protein translation. Isolated reports have shown that variants that create or disrupt uORFs can cause disease. Here, in a systematic genome-wide study using 15,708 whole genome sequences, we show that variants that create new upstream start codons, and variants disrupting stop sites of existing uORFs, are under strong negative selection. This selection signal is significantly stronger for variants arising upstream of genes intolerant to loss-of-function variants. Furthermore, variants creating uORFs that overlap the coding sequence show signals of selection equivalent to coding missense variants. Finally, we identify specific genes where modification of uORFs likely represents an important disease mechanism, and report a novel uORF frameshift variant upstream of NF2 in neurofibromatosis. Our results highlight uORF-perturbing variants as an under-recognised functional class that contribute to penetrant human disease, and demonstrate the power of large-scale population sequencing data in studying non-coding variant classes. |
Issue Date: | 27-May-2020 |
Date of Acceptance: | 23-May-2019 |
URI: | http://hdl.handle.net/10044/1/70688 |
DOI: | 10.1038/s41467-019-10717-9 |
ISSN: | 2041-1723 |
Publisher: | Nature Research (part of Springer Nature) |
Start Page: | 1 |
End Page: | 12 |
Journal / Book Title: | Nature Communications |
Volume: | 11 |
Issue: | 4 |
Replaces: | 10044/1/79435 http://hdl.handle.net/10044/1/79435 |
Copyright Statement: | © The Author(s) 2020. 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/ licenses/by/4.0/. |
Sponsor/Funder: | Fondation Leducq Fondation Leducq Wellcome Trust Department of Health Wellcome Trust Imper Leducq Foundation for Cardiovascular Research British Heart Foundation Rosetrees Trust British Heart Foundation Royal Brompton & Harefield NHS Foundation Trust |
Funder's Grant Number: | 11 CVD-01 11 CVD-01 100134/Z/12/Z HICF-R6-373 107469/Z/15/Z Imperial College London 16CVD03 PG/17/61/33187 M735 RE/18/4/34215 N/A |
Keywords: | Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics OPEN READING FRAMES 5'-UNTRANSLATED REGIONS INITIATION CODON MUTATIONS TRANSLATION WOUDE ORFS VAN 5' Untranslated Regions Base Sequence Genetic Variation Genome, Human Humans Loss of Function Mutation Open Reading Frames Proteins Genome Aggregation Database Production Team Genome Aggregation Database Consortium Humans Proteins 5' Untranslated Regions Base Sequence Open Reading Frames Genome, Human Genetic Variation Loss of Function Mutation Genome Aggregation Database (gnomAD) Production Team Genome Aggregation Database (gnomAD) Consortium |
Publication Status: | Published |
Conference Place: | England |
Appears in Collections: | National Heart and Lung Institute Institute of Clinical Sciences Faculty of Medicine |