ArticleThe Journal of infectious diseases2021
Associations Between Genetically Predicted Protein Levels and COVID-19 Severity.
Article in The Journal of infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Nonlinear Modeling Reveals Novel Associations Between Genetically Predicted Protein Levels and Pancreatic Cancer Risk.Molecular carcinogenesis · 2026Article
- The host susceptibility/resistance-related genes and gut microbial characteristics inMicrobiology spectrum · 2025Article
- miR-27a-5p, miR-21-5p, miR-1246 and miR-4508: a candidate microRNA signature in the protection and regulation of viral infection in mild COVID-19.Molecular medicine (Cambridge, Mass.) · 2025Article
- Increased expression of miR-320b in blood plasma of patients in response to SARS-CoV-2 infection.Scientific reports · 2024Article
- Article
- Identification of blood metabolites associated with risk of Alzheimer's disease by integrating genomics and metabolomics data.Molecular psychiatry · 2024Article
- Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma.GigaScience · 2024Article
- Article
- ABO blood group and link to COVID-19: A comprehensive review of the reported associations and their possible underlying mechanisms.Microbial pathogenesis · 2022Review
- Proteome-wide Mendelian randomization identifies causal links between blood proteins and severe COVID-19.PLoS genetics · 2022Article
- Host genetic factors determining COVID-19 susceptibility and severity.EBioMedicine · 2021Review
- Leveraging the Electronic Health Record to Address the COVID-19 Pandemic.Mayo Clinic proceedings · 2021Review
- Extensive Mendelian randomization study identifies potential causal risk factors for severe COVID-19.Communications medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.