Alternative splicing in lung influences COVID-19 severity and respiratory diseases
Tomoko Nakanishi (),
Julian Willett,
Yossi Farjoun,
Richard J. Allen,
Beatriz Guillen-Guio,
Darin Adra,
Sirui Zhou and
J. Brent Richards ()
Additional contact information
Tomoko Nakanishi: McGill University
Julian Willett: McGill University
Yossi Farjoun: McGill University
Richard J. Allen: University of Leicester
Beatriz Guillen-Guio: University of Leicester
Darin Adra: McGill University
Sirui Zhou: McGill University
J. Brent Richards: McGill University
Nature Communications, 2023, vol. 14, issue 1, 1-12
Abstract:
Abstract Alternative splicing generates functional diversity in isoforms, impacting immune response to infection. Here, we evaluate the causal role of alternative splicing in COVID-19 severity and susceptibility by applying two-sample Mendelian randomization to cis-splicing quantitative trait loci and the results from COVID-19 Host Genetics Initiative. We identify that alternative splicing in lung, rather than total expression of OAS1, ATP11A, DPP9 and NPNT, is associated with COVID-19 severity. MUC1 and PMF1 splicing is associated with COVID-19 susceptibility. Colocalization analyses support a shared genetic mechanism between COVID-19 severity with idiopathic pulmonary fibrosis at the ATP11A and DPP9 loci, and with chronic obstructive lung diseases at the NPNT locus. Last, we show that ATP11A, DPP9, NPNT, and MUC1 are highly expressed in lung alveolar epithelial cells, both in COVID-19 uninfected and infected samples. These findings clarify the importance of alternative splicing in lung for COVID-19 and respiratory diseases, providing isoform-based targets for drug discovery.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41912-4
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DOI: 10.1038/s41467-023-41912-4
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