Positive association and shared genetic structure between cardiovascular diseases and osteoarthritis: Insights from
Yuheng Lu1, Dexin Hu1, Fei Tian1
1Department of Rehabilitation Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Insights
Osteoarthritis (OA) and cardiovascular diseases (CVDs) share a genetic link, suggesting common biological pathways contribute to both conditions. This research uncovers shared genetic factors influencing OA and CVDs, highlighting abnormal lipid metabolism as a potential common cause.
Area of Science:
- Genetics and Epidemiology
- Comorbidity Research
- Molecular Biology
Background:
- Osteoarthritis (OA) and cardiovascular diseases (CVDs) are leading causes of global disability.
- A significant association exists between OA and CVDs, but underlying biological mechanisms are unclear.
Purpose of the Study:
- To investigate the epidemiological link between OA and common CVDs.
- To determine if shared genetic architecture underlies the comorbidity of OA and CVDs.
Main Methods:
- Cross-sectional study with 21,019 participants.
- Multivariable logistic regression to assess OA and CVD associations.
- Genome-wide pleiotropic and multi-trait colocalization analyses using GWAS data.
Main Results:
- Positive associations found between OA and five CVDs (angina, coronary artery disease, myocardial infarction, heart failure, stroke).
- Significant genetic correlations (rg) observed, confirming shared genetic architecture.
- Identified 80 pleiotropic loci, 84 pleiotropic genes (e.g., APOE), and highlighted abnormal lipid metabolism as a potential shared mechanism.
Conclusions:
- A positive association and shared genetic basis exist between OA and CVDs.
- Abnormal lipid metabolism is implicated as a potential common underlying mechanism.
Background:
Osteoarthritis (OA) and cardiovascular diseases (CVDs) are leading global causes of disability. While evidence indicates a significant association in their prevalence, the underlying biological mechanisms driving this comorbidity remain unclear.
Objectives:
This study seeks to elucidate the epidemiological association between OA and common CVDs, and investigate whether shared genetic architecture underlies their comorbidity.
Design:
cross-sectional study and genome-wide pleiotropic analysis.
Methods:
Among 21,019 participants, multivariable logistic regression was used to examine the associations between OA and five CVDs (angina pectoris, coronary artery disease, myocardial infarction, heart failure, and stroke). Genetic correlations were then estimated using large-scale GWAS summary data of European ancestry, with the OA GWAS specifically focusing on knee and hip. Subsequent pleiotropy and multi-trait colocalization analyses were performed to identify shared loci, genes, and biological mechanisms.
Results:
A positive association was observed between the prevalence of CVDs and OA, potentially explained by shared genetic factors. The genetic correlations (rg) and P values were: AP-OA (rg = 0.2229, p < 0.001), CAD-OA (rg = 0.1530, p < 0.001), MI-OA (rg = 0.1685, p < 0.001), HF-OA (rg = 0.3094, p < 0.001), and stroke-OA (rg = 0.1605, p < 0.001), indicating a robust and consistent shared genetic architecture between OA and these cardiovascular conditions. A total of 80 pleiotropic loci were identified, with 20 showing significant colocalization. Gene-level analysis revealed 84 distinct pleiotropic genes, including APOE, SMG6, UQCC1, and FES. Tissue enrichment analysis highlighted the role of pleiotropic mechanisms in central and peripheral blood vessels. Pathway assessment and multi-trait colocalization suggested that abnormal lipid metabolism may be a common cause of CVDs and OA.
Conclusion:
Our study revealed a positive association and a shared genetic connection between CVDs and OA, and illuminated the potential mechanisms that could be involved.
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