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

Nicola Whiffin , Konrad J. Karczewski , Xiaolei Zhang , Nicola Whiffin , Konrad J. Karczewski , Xiaolei Zhang , Sonia Chothani , Miriam J. Smith , D. Gareth Evans , Angharad M. Roberts , Nicholas M. Quaife , Sebastian Schäfer , Owen J. L. Rackham , Jessica Alföldi , Anne O’Donnell‐Luria , Laurent C. Francioli , Irina M. Armean , Eric Banks , Louis Bergelson , Kristian Cibulskis , Ryan L. Collins , Kristen M. Connolly , Miguel Covarrubias , Beryl B. Cummings , Mark J. Daly , Stacey Donnelly , Yossi Farjoun , Steven Ferriera , Stacey Gabriel , Laura D. Gauthier , Jeff Gentry , Namrata Gupta , Thibault Jeandet , Diane Kaplan , Kristen M. Laricchia , Christopher Llanwarne , Eric Vallabh Minikel , Ruchi Munshi , Benjamin M. Neale , Sam Novod , Nikelle Petrillo , Timothy Poterba , David Roazen , Valentín Ruano-Rubio , Andrea Saltzman , Kaitlin E. Samocha , Molly Schleicher , Cotton Seed , Matthew Solomonson , José Soto , Grace Tiao , Kathleen Tibbetts , Charlotte Tolonen , Christopher Vittal , Gordon Wade , Arcturus Wang , Qingbo S. Wang , Nicholas A. Watts , Ben Weisburd , Carlos A. Aguilar‐Salinas , Tariq Ahmad , Christine M. Albert , Diego Ardissino , Gil Atzmon , John Barnard , Laurent Beaugerie , Emelia J. Benjamin , Michael Boehnke , Lori L. Bonnycastle , Erwin P. Böttinger , Donald W. Bowden , Matthew J. Bown , John C. Chambers , Juliana C.N. Chan , Daniel I. Chasman , Judy H. Cho , Mina K. Chung , Bruce M. Cohen , Adolfo Correa , Dana Dabelea , Mark J. Daly , Dawood Darbar , Ravindranath Duggirala , Josée Dupuis , Patrick T. Ellinor , Roberto Elosúa , Jeanette Erdmann , Tõnu Esko , Martti Färkkilâ , José C. Florez , André Franke , Gad Getz , Benjamin Gläser , Stephen J. Glatt , David Goldstein , Clicerio González , Leif Groop , Christopher Haiman , Craig L. Hanis , Matthew B. Harms , Mikko Hiltunen , Matti Holi , Christina M. Hultman
2020 Nature Communications 171 citations

Abstract

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.

Keywords

BiologyGeneticsCoding regionComputational biologyFrameshift mutationUntranslated regionGenomeGeneFive prime untranslated regionPhenotypeRNA

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Year
2020
Type
article
Volume
11
Issue
1
Pages
2523-2523
Citations
171
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Nicola Whiffin, Konrad J. Karczewski, Xiaolei Zhang et al. (2020). Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals. Nature Communications , 11 (1) , 2523-2523. https://doi.org/10.1038/s41467-019-10717-9

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DOI
10.1038/s41467-019-10717-9