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Published on: September 20, 2024
Genetic variation associated with cardiovascular risk in autoimmune diseases
Pedro P Perrotti1,2, Adrià Aterido1,3, Antonio Fernández-Nebro4
1Rheumatology Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
Insights
This study reveals specific genetic factors contributing to increased cardiovascular disease (CVD) risk in autoimmune diseases. Understanding these genetic patterns can help manage CVD in patients with autoimmune conditions.
Area of Science:
- Genetics
- Immunology
- Cardiology
Background:
- Autoimmune diseases are linked to higher rates of cardiovascular events.
- The genetic underpinnings of this increased cardiovascular disease (CVD) risk are not fully understood.
Purpose of the Study:
- To investigate the genetic basis of CVD risk in individuals with autoimmune diseases.
- To identify shared and distinct genetic factors influencing CVD risk across multiple autoimmune conditions.
Main Methods:
- Genome-wide genotyping data from 6,485 patients across six autoimmune diseases were analyzed.
- Association tests were performed for established CVD risk loci and autoimmune disease susceptibility loci.
- Cross-phenotype meta-analysis (CPMA) was employed to identify genetic patterns associated with CVD risk.
Main Results:
- 17 established CVD risk loci were significantly associated with CVD in autoimmune cohorts.
- Six autoimmune susceptibility loci were also associated with CVD risk.
- Genome-wide CPMA identified 10 genetic clusters linked to CVD risk, with two enriched in TNFα and IFNγ cytokine pathways.
Conclusions:
- Specific genetic variations contribute to the elevated CVD risk observed in autoimmune diseases.
- Genetic overlap exists between autoimmune conditions and cardiovascular risk factors.
- Findings support targeted genetic investigation for CVD prevention in autoimmune populations.
Abstract:
Autoimmune diseases have a higher prevalence of cardiovascular events compared to the general population. The objective of this study was to investigate the genetic basis of cardiovascular disease (CVD) risk in autoimmunity. We analyzed genome-wide genotyping data from 6,485 patients from six autoimmune diseases that are associated with a high socio-economic impact. First, for each disease, we tested the association of established CVD risk loci. Second, we analyzed the association of autoimmune disease susceptibility loci with CVD. Finally, to identify genetic patterns associated with CVD risk, we applied the cross-phenotype meta-analysis approach (CPMA) on the genome-wide data. A total of 17 established CVD risk loci were significantly associated with CVD in the autoimmune patient cohorts. From these, four loci were found to have significantly different genetic effects across autoimmune diseases. Six autoimmune susceptibility loci were also found to be associated with CVD risk. Genome-wide CPMA analysis identified 10 genetic clusters strongly associated with CVD risk across all autoimmune diseases. Two of these clusters are highly enriched in pathways previously associated with autoimmune disease etiology (TNFα and IFNγ cytokine pathways). The results of this study support the presence of specific genetic variation associated with the increase of CVD risk observed in autoimmunity.
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