Shared Genetic Architectures between Coronary Artery Disease and Type 2 Diabetes Mellitus in East Asian and European Populations.
Xiaoyi LiZechen ZhouYujia MaKexin DingHan XiaoDafang ChenNa LiuPublished in: Biomedicines (2024)
Coronary artery disease (CAD) is a common comorbidity of type 2 diabetes mellitus (T2DM). However, the pathophysiology connecting these two phenotypes remains to be further understood. Combined analysis in multi-ethnic populations can help contribute to deepening our understanding of biological mechanisms caused by shared genetic loci. We applied genetic correlation analysis and then performed conditional and joint association analyses in Chinese, Japanese, and European populations to identify the genetic variants jointly associated with CAD and T2DM. Next, the associations between genes and the two traits were also explored. Finally, fine-mapping and functional enrichment analysis were employed to identify the potential causal variants and pathways. Genetic correlation results indicated significant genetic overlap between CAD and T2DM in the three populations. Over 10,000 shared signals were identified, and 587 were shared by East Asian and European populations. Fifty-six novel shared genes were found to have significant effects on both CAD and T2DM. Most loci were fine-mapped to plausible causal variant sets. Several similarities and differences of the involved genes in GO terms and KEGG pathways were revealed across East Asian and European populations. These findings highlight the importance of immunoregulation, neuroregulation, heart development, and the regulation of glucose metabolism in shared etiological mechanisms between CAD and T2DM.
Keyphrases
- coronary artery disease
- genome wide
- copy number
- dna methylation
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- glycemic control
- type diabetes
- heart failure
- metabolic syndrome
- risk assessment
- transcription factor
- acute coronary syndrome
- cardiovascular disease
- climate change
- mass spectrometry
- skeletal muscle
- aortic stenosis
- bioinformatics analysis