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Updated: Nov 27, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Causal Inference for Genetic Obesity, Cardiometabolic Profile and COVID-19 Susceptibility: A Mendelian Randomization
Nay Aung1,2, Mohammed Y Khanji1,2, Patricia B Munroe1,2
1Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom.
Insights
Higher body mass index (BMI) and LDL cholesterol causally increase COVID-19 risk. Individuals with higher genetic risk scores for these factors are more susceptible to SARS-CoV-2 infection, supporting BMI integration into risk assessments and suggesting lipid modification
Area of Science:
- Genetics
- Epidemiology
- Cardiovascular Science
Background:
- Obesity and cardiometabolic conditions are linked to COVID-19 hospitalization.
- The causal relationships between these factors and COVID-19 susceptibility remain unclear.
Purpose of the Study:
- To investigate the causal impact of obesity and cardiometabolic traits on COVID-19 susceptibility.
- To evaluate the association between genetic predisposition to these traits and SARS-CoV-2 infection risk.
Main Methods:
- Utilized multivariable logistic regression and Mendelian randomization (MR) in the UK Biobank.
- Employed one-sample and two-sample MR analyses using genetic risk scores and summary statistics.
- Applied Cox proportional hazard models to assess risk based on genetic quintiles.
Main Results:
- Observational analysis showed higher BMI, waist circumference, HbA1c, and lower HDL-cholesterol associated with increased COVID-19 odds.
- One-sample MR revealed causal links between genetically determined BMI and LDL cholesterol with higher COVID-19 risk.
- Two-sample MR confirmed these findings, with higher genetic risk score quintiles for BMI and LDL associated with increased COVID-19 predisposition.
Conclusions:
- Established causal associations between BMI, LDL cholesterol, and COVID-19 susceptibility.
- Higher genetic risk for BMI and LDL cholesterol predisposes individuals to SARS-CoV-2 infection.
- Findings advocate for incorporating BMI into COVID-19 risk assessments and highlight potential benefits of lipid modification.
Background:
Cross-sectional observational studies have reported obesity and cardiometabolic co-morbidities as important predictors of coronavirus disease 2019 (COVID-19) hospitalization. The causal impact of these risk factors is unknown at present.
Methods:
We conducted multivariable logistic regression to evaluate the observational associations between obesity traits (body mass index [BMI], waist circumference [WC]), quantitative cardiometabolic parameters (systolic blood pressure [SBP], serum glucose, serum glycated hemoglobin [HbA1c], low-density lipoprotein [LDL] cholesterol, high-density lipoprotein [HDL] cholesterol and triglycerides [TG]) and SARS-CoV-2 positivity in the UK Biobank cohort. One-sample MR was performed by using the genetic risk scores of obesity and cardiometabolic traits constructed from independent datasets and the genotype and phenotype data from the UK Biobank. Two-sample MR was performed using the summary statistics from COVID-19 host genetics initiative. Cox proportional hazard models were fitted to assess the risk conferred by different genetic quintiles of causative exposure traits.
Results:
The study comprised 1,211 European participants who were tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 387,079 participants who were either untested or tested negative between 16 March 2020 to 31 May 2020. Observationally, higher BMI, WC, HbA1c and lower HDL-cholesterol were associated with higher odds of COVID-19 infection. One-sample MR analyses found causal associations between higher genetically determined BMI and LDL cholesterol and increased risk of COVID-19 (odds ratio [OR]: 1.15, confidence interval [CI]: 1.05-1.26 and OR: 1.58, CI: 1.21-2.06, per 1 standard deviation increment in BMI and LDL cholesterol respectively). Two-sample MR produced concordant results. Cox models indicated that individuals in the higher genetic risk score quintiles of BMI and LDL were more predisposed to COVID-19 (hazard ratio [HR]: 1.24, CI: 1.03-1.49 and HR: 1.37, CI: 1.14-1.65, for the top vs the bottom quintile for BMI and LDL cholesterol, respectively).
Conclusion:
We identified causal associations between BMI, LDL cholesterol and susceptibility to COVID-19. In particular, individuals in higher genetic risk categories were predisposed to SARS-CoV-2 infection. These findings support the integration of BMI into the risk assessment of COVID-19 and allude to a potential role of lipid modification in the prevention and treatment.
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