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Published on: November 10, 2023
A phenome-wide investigation of risk factors for severe COVID-19
Ancha Baranova1,2, Hongbao Cao1, Shaolei Teng3
1School of Systems Biology, George Mason University, Manassas, Virginia, USA.
Insights
Genetic analysis identified risk and protective factors for severe COVID-19 hospitalization. Body fat, smoking, and blood clots increase risk, while education, exercise, asthma, and not smoking offer protection.
Area of Science:
- Genetics
- Epidemiology
- Public Health
Background:
- The global spread of COVID-19 necessitates identifying risk and protective factors.
- Understanding genetic predispositions is crucial for managing the pandemic.
Purpose of the Study:
- To investigate genetic correlations between COVID-19 hospitalization and various health/lifestyle factors.
- To determine causal risk and protective factors for severe COVID-19 using Mendelian randomization.
Main Methods:
- Genetic correlation analysis was performed on UK Biobank data (456,422 participants).
- Mendelian randomization (MR) analysis was employed to infer causality.
- Investigated relationships between COVID-19 hospitalization and 405 health conditions/lifestyle factors.
Main Results:
- Identified 134 positive and 65 negative genetic correlations with COVID-19 hospitalization.
- MR analysis revealed causal risk factors including body fat traits, maternal smoking, basal metabolic rate, lymphocyte count, peripheral enthesopathies, leg blood clots, and arthropathy.
- Found protective factors such as higher education, physical activity, asthma, and never smoking status.
Conclusions:
- Established genetic links between various traits and COVID-19 hospitalization risk.
- Identified key modifiable and non-modifiable factors influencing severe COVID-19 outcomes.
- Findings support targeted prevention strategies and risk stratification for COVID-19 patients.
Abstract:
With the continued spread of COVID-19 globally, it is crucial to identify the potential risk or protective factors associated with COVID-19. Here, we performed genetic correlation analysis and Mendelian randomization analysis to examine genetic relationships between COVID-19 hospitalization and 405 health conditions and lifestyle factors in 456 422 participants from the UK Biobank. The genetic correlation analysis revealed 134 positive and 65 negative correlations, including those with intakes of a variety of dietary components. The MR analysis indicates that a set of body fat-related traits, maternal smoking around birth, basal metabolic rate, lymphocyte count, peripheral enthesopathies and allied syndromes, blood clots in the leg, and arthropathy are causal risk factors for severe COVID-19, while higher education attainment, physical activity, asthma, and never smoking status protect against the illness. Our findings have implications for risk stratification in patients with COVID-19 and the prevention of its severe outcomes.
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