Related Experiment Video
Updated: Aug 30, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genetic Predisposition to Severe COVID-19 Might Increase the Risk of Stroke: A Two-Sample Mendelian Randomization
Jinji Zhang1, Fayong Wu1, Shenge Chen1
1Sanming Second Hospital, Sanming, China.
Insights
Severe COVID-19 infection increases the risk of stroke, including ischemic stroke. This finding highlights the need for increased vigilance and care for patients experiencing severe coronavirus disease 2019 (COVID-19).
Area of Science:
- Genetics
- Epidemiology
- Neurology
Background:
- The causal link between COVID-19 and stroke remains unclear.
- Investigating this relationship is crucial for public health.
- Mendelian randomization (MR) offers a robust method to explore causality.
Purpose of the Study:
- To determine if COVID-19 infection causally increases stroke risk.
- To differentiate the effects of hospitalization versus severe symptoms.
- To utilize genetic data for causal inference.
Main Methods:
- Two-sample Mendelian randomization (MR) was employed.
- Genome-wide association study (GWAS) data for COVID-19 and stroke were utilized.
- Inverse variance weighted (IVW) analysis and sensitivity analyses were performed.
Main Results:
- Hospitalization due to COVID-19 showed a significant positive association with stroke risk (OR=1.05) and ischemic stroke (OR=1.06).
- Severe respiratory symptoms from COVID-19 were linked to increased stroke risk (OR=1.04) and ischemic stroke (OR=1.06).
- Statistical significance was observed across key analyses, supporting a causal effect.
Conclusions:
- Severe COVID-19 infection is a potential causal factor for increased stroke risk.
- Patients with severe COVID-19 require heightened monitoring for cerebrovascular events.
- Further research may elucidate specific mechanisms linking severe COVID-19 to stroke.
Abstract:
Aims: The causal relationship between COVID-19 infection and stroke has not yet been fully established. This study aimed to explore this causality using two-sample Mendelian randomization (MR). Materials and Methods: Genetic variants associated with COVID-19 infection and stroke were both obtained from genome-wide association study (GWAS) summary data. The single nucleotide polymorphisms (SNPs) were selected as instrumental variables. The standard inverse variance weighted (IVW) was primarily used to assess this causality. Finally, sensitivity analysis was performed to evaluate the reliability and stability. Results: The results showed that being hospitalized due to COVID-19 had a positive effect on stroke [OR = 1.05; 95% CI= (1.01, 1.10); p = 2.34 × 10-5] and ischemic stroke [OR = 1.06; 95% CI= (1.02, 1.11); p = 2.28 × 10-6] analyzed by inverse variance weighted. Moreover, the results revealed that severe respiratory symptoms due to COVID-19 had a positive effect on stroke [OR = 1.04; 95% CI= (1.00, 1.06); p = 0.04] and that the causal effect of severe respiratory symptoms due to COVID-19 on ischemic stroke estimated by IVW suggested a positive effect [OR = 1.06; 95% CI= (1.02, 1.09); p = 0.0068], too. Conclusion: In summary, this study showed that severe COVID-19 might increase the risk of stroke, thus much more attention should be paid to patients with severe COVID-19.
More Related Videos
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Genetic Lingo
Coronary Artery Disease I: Introduction
Psychoneuroimmunology: Cardiovascular Disease
A key area of focus in PNI is the relationship between stress and coronary...

