ArticleHuman genomics2021
Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data.
Article in Human genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 5 of them syntheses that pooled it.
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Who cites it
79 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Identification and validation of supervariants reveal novel loci associated with human white matter microstructure.Genome research · 2024Pooled it
- Pooled it
- Genetics of COVID-19 and myalgic encephalomyelitis/chronic fatigue syndrome: a systematic review.Annals of clinical and translational neurology · 2022Pooled it
- Systematic review of host genetic association with Covid-19 prognosis and susceptibility: What have we learned in 2020?Reviews in medical virology · 2022Pooled it
- Global REnal Involvement of CORonavirus Disease 2019 (RECORD): A Systematic Review and Meta-Analysis of Incidence, Risk Factors, and Clinical Outcomes.Frontiers in medicine · 2021Pooled it
- HVSnp: A manually curated database of human SNPS associated with viral infections.Genetics and molecular biology · 2026Article
- Identifying genetic variants for brain connectivity using Ball Covariance Ranking and Aggregation.Journal of the American Statistical Association · 2025Article
- The ZNF717-rs2918520 genotype contributes to COVID-19 severity: a Taiwanese cohort study.BMC infectious diseases · 2025Article
- Genetic proxies for clinical traits are associated with increased risk of severe COVID-19.Scientific reports · 2025Article
- Burden of acute and long-term COVID-19: a nationwide study in Bahrain.Frontiers in public health · 2025Observational
- Local Genetic Correlations and Pleiotropy Reveal Shared Genetic Architecture Between COVID-19 Phenotypes and Prostate Cancer in European Populations.Journal of Cancer · 2025Article
- The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank.GeroScience · 2024Article
- Correlation between Genomic Variants and Worldwide COVID-19 Epidemiology.Journal of personalized medicine · 2024Article
- Association analysis of genetic variants in critical patients with COVID-19 and validation in a Chinese population.Virologica Sinica · 2024Article
- Predictors of mortality in hospitalised patients with COVID-19: a 1-year case-control study.BMJ open · 2024Article
- A genome-wide association study for survival from a multi-centre European study identified variants associated with COVID-19 risk of death.Scientific reports · 2024Article
- Development trends of human organoid-based COVID-19 research based on bibliometric analysis.Cell proliferation · 2023Review
- Associations of the COVID-19 burden and various comorbidities of different ethnic groups in Israel: a cross-sectional study.Clinical and experimental medicine · 2023Article
- Association between cyclin-dependent kinase inhibitor 2B antisense RNA 1 and zinc finger homeobox 3 gene polymorphisms and COVID-19 severity.BMC infectious diseases · 2023Article
- COVID-19 progression towards ARDS: a genome wide study reveals host factors underlying critical COVID-19.Genomics & informatics · 2023Article
19 more citing papers are in PubMed but not listed here.
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Abstract
backgroundThe severity of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly heterogeneous. Studies have reported that males and some ethnic groups are at increased risk of death from COVID-19, which implies that individual risk of death might be influenced by host genetic factors.
methodsIn this project, we consider the mortality as the trait of interest and perform a genome-wide association study (GWAS) of data for 1778 infected cases (445 deaths, 25.03%) distributed by the UK Biobank. Traditional GWAS fails to identify any genome-wide significant genetic variants from this dataset. To enhance the power of GWAS and account for possible multi-loci interactions, we adopt the concept of super variant for the detection of genetic factors. A discovery-validation procedure is used for verifying the potential associations.
resultsWe find 8 super variants that are consistently identified across multiple replications as susceptibility loci for COVID-19 mortality. The identified risk factors on chromosomes 2, 6, 7, 8, 10, 16, and 17 contain genetic variants and genes related to cilia dysfunctions (DNAH7 and CLUAP1), cardiovascular diseases (DES and SPEG), thromboembolic disease (STXBP5), mitochondrial dysfunctions (TOMM7), and innate immune system (WSB1). It is noteworthy that DNAH7 has been reported recently as the most downregulated gene after infecting human bronchial epithelial cells with SARS-CoV-2.
conclusionsEight genetic variants are identified to significantly increase the risk of COVID-19 mortality among the patients with white British ancestry. These findings may provide timely clues and potential directions for better understanding the molecular pathogenesis of COVID-19 and the genetic basis of heterogeneous susceptibility, with potential impact on new therapeutic options.
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