A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population.

doi:10.3390/ijms27052358

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A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population.

International journal of molecular sciences - 3 Mar 2026

Neller Alexandra, Bukva Mátyás, Gálik Bence, Kun József, Nagy Nikoletta, Somogyvári Ferenc, Endrész Valéria, Pál Margit, Bokor Barbara Anna, Blazovich Zsófia, Visnyovszky Ádám, Bende Balázs, Urbán Péter, Kovácsné Levang Szilvia, Péterfi Zoltán, Kovács Gábor L, Gombos Katalin, Gyenesei Attila, Széll Márta

Abstract excerpt

Intensive research has shown that severe COVID-19 outcomes are influenced by antiviral pathways and immune responses, both shaped by genetic predisposition. In this study, we aimed to identify genetic variants associated with disease severity in a cohort of Hungarian patients. We applied a novel stratification method based on age, disease severity, and clinical background to classify patients by susceptibility to...

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PMID: 41828576
DOI: 10.3390/ijms27052358
PMCID: PMC12986284

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