Bibliographic Details
| Title: |
New susceptibility alleles associated with severe coronary artery stenosis in the Lebanese population. |
| Authors: |
Wakim, Victor, Abi Khalil, Elie, Salloum, Angelique K., Khazen, Georges, Ghassibe-Sabbagh, Michella, Zalloua, Pierre A. |
| Source: |
BMC Medical Genomics; 3/25/2021, Vol. 14 Issue 1, p1-11, 11p |
| Subject Terms: |
CORONARY artery stenosis, SINGLE nucleotide polymorphisms, LEBANESE, CORONARY arteries, ALLELES |
| Abstract: |
Background: Coronary Artery Disease (CAD) is the narrowing or blockage of the coronary arteries. It is closely associated with numerous genetics and environmental factors that have been extensively evaluated in various populations. In recent studies, severe phenotypes have been strongly linked to genetic risk factors. Methods: This study investigated the association of clinical, demographic, and genetic factors with severe coronary artery stenosis phenotypes in our population composed of 1734 individuals with severe coronary stenosis (≥ 50% in coronary vessels) and comparing them to 757 controls with no evidence of stenosis on angiography. We performed generalized linear model (GLM) genome-wide association studies to evaluate three stratification models and their associations to characteristics of the clinical disease. In model 1, patients were not stratified. In model 2, patients were stratified based on presence or absence of CAD family history (FxCAD). In model 3, patients were stratified by young age of CAD onset. Results: Eight SNPs (single nucleotide polymorphism) were significantly associated with severe CAD phenotypes in the various models p < 5 × 10 - 7 , four of these SNPs were associated with severe CAD and the four others were specifically significant for young CAD patients. While these SNPs were not previously reported for association with CAD, six of them are present in genes that have already been linked to coronary disease. Conclusion: In conclusion, this study presents new genetic factors associated with severe stenosis and highlights different risk factors associated with a young age at diagnosis of CAD. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
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