Literature DB >> 33083826

Associations Between Genetically Predicted Protein Levels and COVID-19 Severity.

Jingjing Zhu1, Chong Wu2, Lang Wu1.   

Abstract

It is critical to identify potential causal targets for SARS-CoV-2, which may guide drug repurposing options. We assessed the associations between genetically predicted protein levels and COVID-19 severity. Leveraging data from the COVID-19 Host Genetics Initiative comparing 6492 hospitalized COVID-19 patients and 1 012 809 controls, we identified 18 proteins with genetically predicted levels to be associated with COVID-19 severity at a false discovery rate of <0.05, including 12 that showed an association even after Bonferroni correction. Of the 18 proteins, 6 showed positive associations and 12 showed inverse associations. In conclusion, we identified 18 candidate proteins for COVID-19 severity.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19 severity; genetic instruments; proteins

Year:  2021        PMID: 33083826     DOI: 10.1093/infdis/jiaa660

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  2 in total

1.  Extensive Mendelian randomization study identifies potential causal risk factors for severe COVID-19.

Authors:  Yitang Sun; Jingqi Zhou; Kaixiong Ye
Journal:  Commun Med (Lond)       Date:  2021-12-09

2.  Proteome-wide Mendelian randomization identifies causal links between blood proteins and severe COVID-19.

Authors:  Alish B Palmos; Vincent Millischer; David K Menon; Timothy R Nicholson; Leonie S Taams; Benedict Michael; Geraint Sunderland; Michael J Griffiths; Christopher Hübel; Gerome Breen
Journal:  PLoS Genet       Date:  2022-03-03       Impact factor: 5.917

  2 in total

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