The causal relationship between metabolic syndrome and its components and cardiovascular disease: A mendelian randomization study
Authors' conclusion
Our study provides evidence that metabolic syndrome is causally associated with 6 cardiovascular diseases. Waist circumference is the most important component of these relationships. These findings have implications for the prevention and management of metabolic syndrome and cardiovascular diseases.
Study context
- Population
- Summary statistics from large-scale genome-wide association studies of metabolic syndrome (MetS), its components and cardiovascular diseases
- Comparison
- Genetically predicted MetS and its components vs 14 cardiovascular diseases
- Outcome
- Causal relationship between MetS and its components and 14 cardiovascular diseases
Methodological detailstwo-sample Mendelian randomization (MR), inverse-variance weighted method, sensitivity methods, multivariate MR
- Two-sample MR
- Inverse-variance weighted method
- Sensitivity methods
- Multivariate MR
Main finding
As reported in the abstract
Causal associations of MetS with cardiovascular diseases
- MetS causally associated with increased risk of ischemic stroke, abdominal aortic aneurysm, PE, coronary heart disease, HF and peripheral artery disease
Further findings
Waist circumference
- Waist circumference causally associated with increased risk of 6 cardiovascular diseases
Other MetS components
- T2D, diastolic BP, systolic BP, TG and HDL-C all causally associated with coronary heart disease, with varying causal relationships with the remaining 5 cardiovascular diseases
Waist circumference, multivariate MR
- Except for ischaemic stroke, waist circumference remained causally associated with the remaining five cardiovascular diseases after adjusting for potential confounders
Original publication
The causal relationship between metabolic syndrome and its components and cardiovascular disease: A mendelian randomization study. Diabetes Res Clin Pract. Published 20 April 2024. doi:10. 1016/ j. diabres. 2024. 111679
Composed by AI from the published abstract and checked against it. How Briefs are made →