ArticleFrontiers in medicine2024
GWAS and polygenic risk score of severe COVID-19 in Eastern Europe.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Machine learning prediction of hypertension integrating polygenic risk scores in inner Eurasian populations.Frontiers in cardiovascular medicine · 2026Article
- Genomic and integrative based progression biomarker discovery in adult sepsis: toward clinical stratification and precision medicine.Annals of intensive care · 2026Review
- Genetic and Epigenetic Intersections in COVID-19-Associated Cardiovascular Disease: Emerging Insights and Future Directions.Biomedicines · 2025Review
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Authors and funding
19 authors.
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Abstract
Background: COVID-19 disease has infected more than 772 million people, leading to 7 million deaths. Although the severe course of COVID-19 can be prevented using appropriate treatments, effective interventions require a thorough research of the genetic factors involved in its pathogenesis. Methods: We conducted a genome-wide association study (GWAS) on 7,124 individuals (comprising 6,400 controls who had mild to moderate COVID-19 and 724 cases with severe COVID-19). The inclusion criteria were acute respiratory distress syndrome (ARDS), acute respiratory failure (ARF) requiring respiratory support, or CT scans indicative of severe COVID-19 infection without any competing diseases. We also developed a polygenic risk score (PRS) model to identify individuals at high risk. Results: We identified two genome-wide significant loci ( Conclusion: We conducted one of the largest studies to date on the genetics of severe COVID-19 in an Eastern European cohort. Our results are consistent with previous research and will guide further epidemiologic studies on host genetics, as well as for the development of targeted treatments.
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