Osteoarthritis, coronary artery disease, and myocardial infarction: A mendelian randomization study
Huiqing Xu1, Yuxiao Ling1, Han Jiang1
1School of Public Health, Hangzhou Medical College, Hangzhou, China.
Insights
Myocardial infarction (MI) may protect against osteoarthritis (OA), particularly spine OA. This genetic study found no causal link between OA and coronary artery disease (CAD) or MI risk.
Area of Science:
- Genetics
- Epidemiology
- Cardiovascular Medicine
Background:
- Osteoarthritis (OA) and coronary artery disease (CAD) frequently coexist.
- Observational studies suggest a link between OA, CAD, and myocardial infarction (MI).
Purpose of the Study:
- To investigate the potential causal relationship between OA, CAD, and MI using a bidirectional Mendelian randomization (MR) approach.
- To clarify the etiological link between these common conditions.
Main Methods:
- Utilized single nucleotide polymorphisms (SNPs) from large genome-wide association studies (GWAS) for OA, CAD, and MI.
- Employed bidirectional MR analysis with methods including Inverse Variance Weighted (IVW), weighted median, MR-Egger, and MR-PRESSO.
- Analyzed data from 766,690 individuals for OA, 184,305 for CAD, and 166,065 for MI.
Main Results:
- No evidence of a causal effect of OA on CAD or MI was found.
- No causal effect of CAD on OA risk was observed.
- A significant protective causal association was identified between myocardial infarction (MI) and total OA (OR=0.95, P=4E-04) and spine OA (OR=0.92, P=0.001).
Conclusions:
- Genetically predicted myocardial infarction (MI) demonstrates a potentially protective effect on the risk of developing total and spine osteoarthritis (OA).
- This finding suggests a complex interplay between cardiovascular health and joint degeneration.
Background:
Observational studies indicate that osteoarthritis (OA) and coronary artery disease (CAD), as well as myocardial infarction (MI), are often diagnosed as comorbid diseases. We performed a bidirectional Mendelian randomization (MR) study to demonstrate whether there is a causal relationship between OA, CAD, and MI.
Methods:
We extracted single nucleotide polymorphisms (SNPs) related to OA in the Genetics of Osteoarthritis (GO) Consortium as instrumental variables to assess whether OA is associated with CAD and MI in the CARDIoGRAMplusC4D 1,000 Genomes genome-wide association study (GWAS). In the reverse MR, we used CAD-associated and MI-associated SNPs to the GWAS of OA to analyze their causality. These GWASs included 766,690 individuals of OA, 184,305 individuals of CAD, and 166,065 individuals of MI. MR was conducted using several methods, including the inverse variance weighted (IVW) method, the weighted median method, the MR-Egger method, and the MR-Pleiotropy RESidual Sum and Outlier (MR-PRESSO) method.
Results:
The forward causal effect of OA on CAD and MI was not observed. In reverse analysis, no causal effect was discovered for CAD on the risk of OA. Notably, we observed a causal association between MI and total OA [IVW odds ratio (OR) = 0.95, 95% CI = 0.93, 0.98, P = 4E-04] and spine OA (IVW OR = 0.92, 95% CI = 0.88, 0.97, P = 0.001) but a null association between MI and knee OA, hip OA, hand OA, and thumb OA.
Conclusion:
This MR study identifies a potentially protective effect of genetically predicted MI on total and spine OA risks.
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