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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Shared genetic etiology of vessel diseases: A genome-wide multi-traits association analysis
Jiangwei Song1, Ning Gao2, Zhe Chen3
1Department of Cardiovascular Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Insights
Shared genetic factors contribute to multiple vascular diseases, including coronary artery disease and stroke. This research identifies common risk genes and pathways, offering insights into disease mechanisms and potential treatments.
Area of Science:
- Statistical Genetics
- Genomics
- Cardiovascular Research
Background:
- Comorbidity of vascular diseases is common, but shared genetic underpinnings are not well understood.
- Investigating genetic links is crucial for understanding disease etiology.
Purpose of the Study:
- To explore the shared genetic basis of eight major vascular diseases using advanced statistical genetics methods.
- To identify pleiotropic variants, genes, and biological pathways contributing to vascular disease comorbidity.
Main Methods:
- Genome-wide association study (GWAS) summary statistics were analyzed.
- Linkage disequilibrium score regression, high-definition likelihood, and CPASSOC were used for correlation and pleiotropy analysis.
- Multi-omics approaches (GWAS, TWAS, PWAS) and Mendelian randomization were employed.
Main Results:
- Significant genetic correlations were found in 18 vascular disease pairs, with 317 correlated genomic regions identified.
- 19,361 pleiotropic variants in 274 loci and 700 pleiotropic genes were identified, validated across transcriptome and proteome.
- Key biological pathways (vessel wall, coagulation, lipid transport) and causal relationships in 7 disease pairs were uncovered.
Conclusions:
- A substantial shared genetic architecture underlies various vascular diseases.
- Identification of common risk genes and pathways provides novel insights into disease mechanisms.
- Findings can inform future therapeutic strategies for managing multiple vascular conditions.
Background:
The comorbidity among vascular diseases has been widely reported, however, the contribution of shared genetic components remains ambiguous.
Methods:
Based on genome-wide association study summary statistics, we employed statistical genetics methodologies to explore the shared genetic basis of eight vascular diseases: coronary artery disease, abdominal aortic aneurysm, ischemic stroke, peripheral artery disease, thoracic aortic aneurysm, phlebitis, varicose veins, and venous thromboembolism. We assessed global and local genetic correlations among these disorders by linkage disequilibrium score regression, high-definition likelihood, and local analysis of variant association. Cross-trait analyses conducted with CPASSOC identified pleiotropic variants and loci. Further, biological pathways at the multi-omics level were explored using multimarker analysis of genomic annotation, transcriptome-wide and proteome-wide association studies. Causal associations among the vascular diseases were evaluated by mendelian randomization and latent causal variable to assess vertical pleiotropic effects.
Results:
We found significant global genetic associations in 18 pairs of vascular diseases. Additionally, we discovered 317 unique genomic regions where at least one pair of traits demonstrated significant correlation. Multi-trait association analysis identified 19,361 significant potential pleiotropic variants in 274 independent pleiotropic loci. Multi-trait colocalization analysis revealed 56 colocalized loci in specific disease sets. Gene-based analysis identified 700 potential pleiotropic genes, which were subsequently validated at both transcriptome and protein levels. Gene-set enrichment analysis supports the role of biological pathways such as vessel wall structure, coagulation and lipid transport in vascular disease. Additionally, 7 pairs of vascular diseases have a causal relationship.
Conclusions:
Our study indicates a shared genetic basis and the presence of common risk genes among vascular diseases. These findings offer novel insights into potential mechanisms underlying the association between vascular diseases, as well as provide guidance for interventions and treatments of multi-vascular conditions.
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