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Published on: September 20, 2024
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An integrative multiomics analysis identifies putative causal genes for COVID-19 severity
Lang Wu1, Jingjing Zhu2, Duo Liu2,3
1Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA. lwu@cc.hawaii.edu.
Summary
Identifying causal genes for COVID-19 severity is crucial for drug repurposing. This study pinpointed eight genes, including XCR1 and CCR2, as potential targets to combat COVID-19.
Area of Science:
- Genetics
- Infectious Diseases
- Pharmacogenomics
Background:
- The COVID-19 pandemic poses a significant public health challenge.
- Identifying host genetic factors influencing COVID-19 severity is essential for developing effective treatments and drug repurposing strategies.
Purpose of the Study:
- To identify putative causal genes associated with COVID-19 severity.
- To guide drug repurposing efforts for reducing the public health burden of COVID-19.
Main Methods:
- Utilized the COVID-19 Host Genetics Initiative (HGI) dataset, comparing 9,986 hospitalized patients with 1,877,672 controls.
- Applied complementary methods including the cross-methylome omnibus (CMO) test and S-PrediXcan.
- Employed fine-mapping of gene sets (FOGS) to prioritize causal genes and assessed associations with severe respiratory COVID-19.
Main Results:
- Eight genes at five genomic loci were identified as putative causal genes for COVID-19 severity.
- Key genes identified include XCR1, CCR2, SACM1L, OAS3, NSF, WNT3, NAPSA, and IFNAR2.
- These findings were robust across complementary analytical methods and validated against a severe COVID-19 phenotype.
Conclusions:
- The study successfully identified eight key genes implicated in COVID-19 severity.
- These genes represent promising targets for further investigation and potential drug repurposing to mitigate COVID-19 outcomes.
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