Ontology highlight
ABSTRACT: Background
Although observational studies have shown that patients who experienced transient ischemic attacks (TIAs) had a higher risk of coronary artery disease (CAD), the causal relationship is ambiguous.Methods
We conducted a two-sample Mendelian randomization (MR) study to analyze the causal relationship between TIA and CAD using data from the FinnGen genome-wide association study. Analysis was performed using the inverse-variance weighted (IVW) method. The robustness of the results was evaluated using MR-Egger regression, the weighted median, MR pleiotropy residual sum, and outlier (MR-PRESSO) and multivariable MR analysis.Results
Results from IVW random-effect model showed that TIA was associated with an increased risk of coronary artery atherosclerosis (OR 1.17, 95% CI 1.06-1.28, P = 0.002), ischemic heart disease (OR 1.15, 95% CI 1.04-1.27, P = 0.007), and myocardial infarction (OR1.15, 95% CI 1.02-1.29, P = 0.025). In addition, heterogeneity and horizontal pleiotropy were observed in the ischemic heart disease results, while the sensitivity analysis revealed no evidence of horizontal pleiotropy in other outcomes.Conclusions
This MR study demonstrated a potential causal relationship between TIA and CAD. Further research should be conducted to investigate the mechanism underlying the association.
SUBMITTER: Qi X
PROVIDER: S-EPMC10475993 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Qi Xiaoyi X Wang Shijia S Qiu Liangxian L Chen Xiongbiao X Huang Qianwen Q Ouyang Kunfu K Chen Yanjun Y
Frontiers in cardiovascular medicine 20230821
<h4>Background</h4>Although observational studies have shown that patients who experienced transient ischemic attacks (TIAs) had a higher risk of coronary artery disease (CAD), the causal relationship is ambiguous.<h4>Methods</h4>We conducted a two-sample Mendelian randomization (MR) study to analyze the causal relationship between TIA and CAD using data from the FinnGen genome-wide association study. Analysis was performed using the inverse-variance weighted (IVW) method. The robustness of the ...[more]