Contribution of metabolic risk factors and lifestyle behaviors to cardiovascular disease: A mendelian randomization study
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Updated: Sep 22, 2025

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Published on: July 21, 2023
Yiming Jia1, Rong Wang2, Daoxia Guo3
1Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.
Insights
This study used Mendelian randomization to find 11 modifiable risk factors for cardiovascular disease (CVD). These findings highlight key targets for preventing coronary artery disease (CAD) and ischemic stroke.
Area of Science:
- Cardiovascular Epidemiology
- Genetic Epidemiology
- Public Health
Background:
- Causal links between modifiable factors and cardiovascular disease (CVD) require further clarification.
- Identifying these links is crucial for developing effective CVD prevention strategies.
Purpose of the Study:
- To investigate the causal associations of 15 modifiable risk factors with coronary artery disease (CAD) and ischemic stroke.
- To identify potential targets for CVD prevention through a robust analytical approach.
Main Methods:
- Employed a two-sample Mendelian randomization (MR) method.
- Utilized large-scale genome-wide association study (GWAS) data for exposures (e.g., blood pressure, lipids, lifestyle behaviors) and outcomes (CAD and ischemic stroke).
Main Results:
- Confirmed causal relationships between 11 modifiable factors and CVD.
- Significant associations were found for hypertension, systolic and diastolic blood pressure, type 2 diabetes, smoking initiation, educational attainment, LDL cholesterol, HDL cholesterol, triglycerides, body mass index, and alcohol dependence.
Conclusions:
- Identified 11 modifiable factors as significant causal risk factors for CVD.
- These factors represent important targets for public health interventions aimed at CVD prevention.
Background And Aims:
Etiologic associations between some modifiable factors (metabolic risk factors and lifestyle behaviors) and cardiovascular disease (CVD) remain unclear. To identify targets for CVD prevention, we evaluated the causal associations of these factors with coronary artery disease (CAD) and ischemic stroke using a two-sample Mendelian randomization (MR) method.
Methods And Results:
Previously published genome-wide association studies (GWASs) for blood pressure (BP), glucose, lipids, overweight, smoking, alcohol intake, sedentariness, and education were used to identify instruments for 15 modifiable factors. We extracted effects of the genetic variants used as instruments for the exposures on coronary artery disease (CAD) and ischemic stroke from large GWASs (N = 60 801 cases/123 504 controls for CAD and N = 40 585 cases/406 111 controls for ischemic stroke). Genetically predicted hypertension (CAD: OR, 5.19 [95% CI, 4.21-6.41]; ischemic stroke: OR, 4.92 [4.12-5.86]), systolic BP (CAD: OR, 1.03 [1.03-1.04]; ischemic stroke: OR, 1.03 [1.03-1.03]), diastolic BP (CAD: OR, 1.05 [1.05-1.06]; ischemic stroke: OR, 1.05 [1.04-1.05]), type 2 diabetes (CAD: OR, 1.11 [1.08-1.15]; ischemic stroke: OR, 1.07 [1.04-1.10]), smoking initiation (CAD: OR, 1.26 [1.18-1.35]; ischemic stroke: OR, 1.24 [1.16-1.33]), educational attainment (CAD: OR, 0.62 [0.58-0.66]; ischemic stroke: OR, 0.68 [0.63-0.72]), low-density lipoprotein cholesterol (CAD: OR, 1.55 [1.41-1.71]), high-density lipoprotein cholesterol (CAD: OR, 0.82 [0.74-0.91]), triglycerides (CAD: OR, 1.29 [1.14-1.45]), body mass index (CAD: OR, 1.25 [1.19-1.32]), and alcohol dependence (OR, 1.04 [1.03-1.06]) were causally related to CVD.
Conclusion:
This systematic MR study identified 11 modifiable factors as causal risk factors for CVD, indicating that these factors are important targets for preventing CVD.
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