ArticleJournal of epidemiology and global health2023
Host Genetic Factors, Comorbidities and the Risk of Severe COVID-19.
Article in Journal of epidemiology and global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.PLoS genetics · 2023Pooled it
- The Neanderthal-Derived 3p21 Haplotype at LZTFL1 in Modern-Day Moroccans Is Associated With COVID-19 Severity and Further Suggests the Presence of Neanderthals in North Africa.International journal of immunogenetics · 2026Article
- Role of Growth Hormone and Insulin-Like Growth Factor-1 in Modulating Disease Severity in Children with COVID-19 and Multisystem Inflammatory Syndrome.Infection and drug resistance · 2026Article
- Identification of Novel Genomic Variants in COVID-19 Patients Using Whole-Exome Sequencing: Exploring the Plausible Targets of Functional Genomics.Biochemical genetics · 2025Article
- Spatiotemporal and demographic patterns of SARS-CoV-2 entry gene expression in a Lebanese cohort.Molecular biology reports · 2025Article
- Surfactant protein levels and genetic variants as biomarkers for COVID-19 severity in children.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- Integrating communication dimensions into health models: understanding COVID-19 vaccination through multigroup analysis.Frontiers in public health · 2025Article
- Potential associations of selected polymorphic genetic variants with COVID-19 disease susceptibility and severity.PloS one · 2025Article
- Systematic assessment of COVID-19 host genetics using whole genome sequencing data.PLoS pathogens · 2024Article
- No evidence that ACE2 or TMPRSS2 drive population disparity in COVID risks.BMC medicine · 2024Article
- Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCoronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was varied in disease symptoms. We aim to explore the effect of host genetic factors and comorbidities on severe COVID-19 risk.
methodsA total of 20,320 COVID-19 patients in the UK Biobank cohort were included. Genome-wide association analysis (GWAS) was used to identify host genetic factors in the progression of COVID-19 and a polygenic risk score (PRS) consisted of 86 SNPs was constructed to summarize genetic susceptibility. Colocalization analysis and Logistic regression model were used to assess the association of host genetic factors and comorbidities with COVID-19 severity. All cases were randomly split into training and validation set (1:1). Four algorithms were used to develop predictive models and predict COVID-19 severity. Demographic characteristics, comorbidities and PRS were included in the model to predict the risk of severe COVID-19. The area under the receiver operating characteristic curve (AUROC) was applied to assess the models' performance.
resultsWe detected an association with rs73064425 at locus 3p21.31 reached the genome-wide level in GWAS (odds ratio: 1.55, 95% confidence interval: 1.36-1.78). Colocalization analysis found that two genes (SLC6A20 and LZTFL1) may affect the progression of COVID-19. In the predictive model, logistic regression models were selected due to simplicity and high performance. Predictive model consisting of demographic characteristics, comorbidities and genetic factors could precisely predict the patient's progression (AUROC = 82.1%, 95% CI 80.6-83.7%). Nearly 20% of severe COVID-19 events could be attributed to genetic risk.
conclusionIn this study, we identified two 3p21.31 genes as genetic susceptibility loci in patients with severe COVID-19. The predictive model includes demographic characteristics, comorbidities and genetic factors is useful to identify individuals who are predisposed to develop subsequent critical conditions among COVID-19 patients.
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