Genome-Wide Association Study of COVID-19 Breakthrough Infections and Genetic Overlap with Other Diseases: A Study of the UK Biobank

The coronavirus disease 2019 (COVID-19) pandemic has led to substantial health and financial burdens worldwide, and vaccines provide hope for reducing the burden of this pandemic. However, vaccinated people remain at risk for SARS-CoV-2 infection. Genome-wide association studies (GWASs) may identify potential genetic factors involved in the development of COVID-19 breakthrough infections (BIs); however, very few or no GWASs have been conducted for COVID-19 BI thus far. We conducted a GWAS and detailed bioinformatics analysis on COVID-19 BIs in a European population via the UK Biobank (UKBB). We conducted a series of analyses at different levels, including SNP-based, gene-based, pathway, and transcriptome-wide association analyses, to investigate genetic factors associated with COVID-19 BIs and hospitalized infections. The polygenic risk score (PRS) and Hoeffding's test were performed to reveal the genetic relationships between BIs and other medical conditions. Two independent loci (LD-clumped at r<sup>2</sup> = 0.01) reached genome-wide significance (<i>p</i> < 5 × 10<sup>-8</sup>), including rs36170929, which mapped to <i>LOC102725191</i>/<i>VWDE</i>, and rs28645263, which mapped to <i>RETREG1</i>. A pathway enrichment analysis highlighted pathways such as viral myocarditis, Rho-selective guanine exchange factor AKAP13 signaling, and lipid metabolism. The PRS analyses revealed significant genetic overlap between COVID-19 BIs and heart failure and between HbA1c and type 1 diabetes. Genetic dependence was also observed between COVID-19 BIs and asthma, lung abnormalities, schizophrenia, and type 1 diabetes on the basis of Hoeffding's test. This GWAS revealed two significant loci that may be associated with COVID-19 BIs and a number of genes and pathways that may be involved in BIs. Genetic overlap with other diseases was identified. Further studies are warranted to replicate these findings and elucidate the mechanisms involved.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-07-04
DOI
https://doi.org/10.3390/ijms26136441
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

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article

Genome-Wide Association Study of COVID-19 Breakthrough Infections and Genetic Overlap with Other Diseases: A Study of the UK Biobank

Hon‐Cheong So, Ruoyu Zhang, Yong Xiang, Kenneth Chi-Yin Wong et al.
1 citations
International Journal of Molecular Sciences
Genetic Associations and Epidemiology
1.82
article

Genome-Wide Association Study of COVID-19 Breakthrough Infections and Genetic Overlap with Other Diseases: A Study of the UK Biobank

Hon‐Cheong So, Ruoyu Zhang, Yong Xiang, Kenneth Chi-Yin Wong, Yaning Feng, Wai Kai Tsui
article en
1 citations

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has led to substantial health and financial burdens worldwide, and vaccines provide hope for reducing the burden of this pandemic. However, vaccinated people remain at risk for SARS-CoV-2 infection. Genome-wide association studies (GWASs) may identify potential genetic factors involved in the development of COVID-19 breakthrough infections (BIs); however, very few or no GWASs have been conducted for COVID-19 BI thus far. We conducted a GWAS and detailed bioinformatics analysis on COVID-19 BIs in a European population via the UK Biobank (UKBB). We conducted a series of analyses at different levels, including SNP-based, gene-based, pathway, and transcriptome-wide association analyses, to investigate genetic factors associated with COVID-19 BIs and hospitalized infections. The polygenic risk score (PRS) and Hoeffding's test were performed to reveal the genetic relationships between BIs and other medical conditions. Two independent loci (LD-clumped at r<sup>2</sup> = 0.01) reached genome-wide significance (<i>p</i> < 5 × 10<sup>-8</sup>), including rs36170929, which mapped to <i>LOC102725191</i>/<i>VWDE</i>, and rs28645263, which mapped to <i>RETREG1</i>. A pathway enrichment analysis highlighted pathways such as viral myocarditis, Rho-selective guanine exchange factor AKAP13 signaling, and lipid metabolism. The PRS analyses revealed significant genetic overlap between COVID-19 BIs and heart failure and between HbA1c and type 1 diabetes. Genetic dependence was also observed between COVID-19 BIs and asthma, lung abnormalities, schizophrenia, and type 1 diabetes on the basis of Hoeffding's test. This GWAS revealed two significant loci that may be associated with COVID-19 BIs and a number of genes and pathways that may be involved in BIs. Genetic overlap with other diseases was identified. Further studies are warranted to replicate these findings and elucidate the mechanisms involved.

International Journal of Molecular SciencesVol. 26(13)
Zhejiang Chinese Medical University (CN), Chinese University of Hong Kong (HK), Kunming Institute of Zoology (CN), Chinese Academy of Sciences (CN), City University of Hong Kong, Shenzhen Research Institute (CN), University of Hong Kong (HK)
Chinese University of Hong Kong, Kunming Institute of Zoology, Chinese Academy of Sciences
Openalex Percentile: Top 14%
Genetic Associations and Epidemiology
1.82
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