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Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals

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...

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Autores principales: Whiffin, Nicola, Karczewski, Konrad J., Zhang, Xiaolei, Chothani, Sonia, Smith, Miriam J., Evans, D. Gareth, Roberts, Angharad M., Quaife, Nicholas M., Schafer, Sebastian, Rackham, Owen, Alföldi, Jessica, O’Donnell-Luria, Anne H., Francioli, Laurent C., Cook, Stuart A., Barton, Paul J. R., MacArthur, Daniel G., Ware, James S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253449/
https://www.ncbi.nlm.nih.gov/pubmed/32461616
http://dx.doi.org/10.1038/s41467-019-10717-9
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author Whiffin, Nicola
Karczewski, Konrad J.
Zhang, Xiaolei
Chothani, Sonia
Smith, Miriam J.
Evans, D. Gareth
Roberts, Angharad M.
Quaife, Nicholas M.
Schafer, Sebastian
Rackham, Owen
Alföldi, Jessica
O’Donnell-Luria, Anne H.
Francioli, Laurent C.
Cook, Stuart A.
Barton, Paul J. R.
MacArthur, Daniel G.
Ware, James S.
author_facet Whiffin, Nicola
Karczewski, Konrad J.
Zhang, Xiaolei
Chothani, Sonia
Smith, Miriam J.
Evans, D. Gareth
Roberts, Angharad M.
Quaife, Nicholas M.
Schafer, Sebastian
Rackham, Owen
Alföldi, Jessica
O’Donnell-Luria, Anne H.
Francioli, Laurent C.
Cook, Stuart A.
Barton, Paul J. R.
MacArthur, Daniel G.
Ware, James S.
author_sort Whiffin, Nicola
collection PubMed
description 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.
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spelling pubmed-72534492020-06-05 Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals Whiffin, Nicola Karczewski, Konrad J. Zhang, Xiaolei Chothani, Sonia Smith, Miriam J. Evans, D. Gareth Roberts, Angharad M. Quaife, Nicholas M. Schafer, Sebastian Rackham, Owen Alföldi, Jessica O’Donnell-Luria, Anne H. Francioli, Laurent C. Cook, Stuart A. Barton, Paul J. R. MacArthur, Daniel G. Ware, James S. Nat Commun Article 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. Nature Publishing Group UK 2020-05-27 /pmc/articles/PMC7253449/ /pubmed/32461616 http://dx.doi.org/10.1038/s41467-019-10717-9 Text en © The Author(s) 2020 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 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/.
spellingShingle Article
Whiffin, Nicola
Karczewski, Konrad J.
Zhang, Xiaolei
Chothani, Sonia
Smith, Miriam J.
Evans, D. Gareth
Roberts, Angharad M.
Quaife, Nicholas M.
Schafer, Sebastian
Rackham, Owen
Alföldi, Jessica
O’Donnell-Luria, Anne H.
Francioli, Laurent C.
Cook, Stuart A.
Barton, Paul J. R.
MacArthur, Daniel G.
Ware, James S.
Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
title Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
title_full Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
title_fullStr Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
title_full_unstemmed Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
title_short Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
title_sort characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253449/
https://www.ncbi.nlm.nih.gov/pubmed/32461616
http://dx.doi.org/10.1038/s41467-019-10717-9
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