» Articles » PMID: 37932299

Integration of Risk Variants from GWAS with SARS-CoV-2 RNA Interactome Prioritizes FUBP1 and RAB2A As Risk Genes for COVID-19

Overview
Journal Sci Rep
Specialty Science
Date 2023 Nov 6
PMID 37932299
Authors
Affiliations
Soon will be listed here.
Abstract

The role of host genetic factors in COVID-19 outcomes remains unclear despite various genome-wide association studies (GWAS). We annotate all significant variants and those variants in high LD (R > 0.8) from the COVID-19 host genetics initiative (HGI) and identify risk genes by recognizing genes intolerant nonsynonymous mutations in coding regions and genes associated with cis-expression quantitative trait loci (cis-eQTL) in non-coding regions. These genes are enriched in the immune response pathway and viral life cycle. It has been found that host RNA binding proteins (RBPs) participate in different phases of the SARS-CoV-2 life cycle. We collect 503 RBPs that interact with SARS-CoV-2 RNA concluded from in vitro studies. Combining risk genes from the HGI with RBPs, we identify two COVID-19 risk loci that regulate the expression levels of FUBP1 and RAB2A in the lung. Due to the risk allele, COVID-19 patients show downregulation of FUBP1 and upregulation of RAB2A. Using single-cell RNA sequencing data, we show that FUBP1 and RAB2A are expressed in SARS-CoV-2-infected upper respiratory tract epithelial cells. We further identify NC_000001.11:g.77984833C>A and NC_000008.11:g.60559280T>C as functional variants by surveying allele-specific transcription factor sites and cis-regulatory elements and performing motif analysis. To sum up, our research, which associates human genetics with expression levels of RBPs, identifies FUBP1 and RAB2A as two risk genes for COVID-19 and reveals the anti-viral role of FUBP1 and the pro-viral role of RAB2A in the infection of SARS-CoV-2.

Citing Articles

Statistical framework for calling allelic imbalance in high-throughput sequencing data.

Buyan A, Meshcheryakov G, Safronov V, Abramov S, Boytsov A, Nozdrin V Nat Commun. 2025; 16(1):1739.

PMID: 39966391 PMC: 11836314. DOI: 10.1038/s41467-024-55513-2.


Proteomic analysis of lung responses to SARS-CoV-2 infection in aged non-human primates: clinical and research relevance.

Garcia-Vilanova A, Allue-Guardia A, Chacon N, Akhter A, Singh D, Kaushal D Geroscience. 2024; 46(6):6395-6417.

PMID: 38969861 PMC: 11493886. DOI: 10.1007/s11357-024-01264-3.

References
1.
Pietzner M, Chua R, Wheeler E, Jechow K, Willett J, Radbruch H . ELF5 is a potential respiratory epithelial cell-specific risk gene for severe COVID-19. Nat Commun. 2022; 13(1):4484. PMC: 9378714. DOI: 10.1038/s41467-022-31999-6. View

2.
Mosbauer K, Fritsch V, Adrian L, Bernhardt J, Gruhlke M, Slusarenko A . The Effect of Allicin on the Proteome of SARS-CoV-2 Infected Calu-3 Cells. Front Microbiol. 2021; 12:746795. PMC: 8581659. DOI: 10.3389/fmicb.2021.746795. View

3.
Yu G . Using meshes for MeSH term enrichment and semantic analyses. Bioinformatics. 2018; 34(21):3766-3767. DOI: 10.1093/bioinformatics/bty410. View

4.
Stukalov A, Girault V, Grass V, Karayel O, Bergant V, Urban C . Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV. Nature. 2021; 594(7862):246-252. DOI: 10.1038/s41586-021-03493-4. View

5.
Giral H, Landmesser U, Kratzer A . Into the Wild: GWAS Exploration of Non-coding RNAs. Front Cardiovasc Med. 2019; 5:181. PMC: 6304420. DOI: 10.3389/fcvm.2018.00181. View