Abstract
Intracranial aneurysm (IA) is a crucial health concern with limited strategies for prevention and treatment. To identify potentially modifiable risk factors, such as socioeconomic, behaviors, dietary, and cardiometabolic factors, for IA and its subtypes. Summary statistics for IA were derived from a genome-wide association study with an overall 79,429 participants. Single nucleotide polymorphisms associated with modifiable risk factors at genome-wide significance (P = 5 × 10-8) were used as instrumental variables. The inverse-variance-weighted method, weighted-median method, Mendelian randomization (MR)-Egger regression, MR-Pleiotropy RESidual Sum and Outlier, and multivariable MR analyses were performed to evaluate the effect estimates. Genetically predicted educational attainment, insomnia, smoking, and systolic and diastolic blood pressure (SBP and DBP) were significantly associated with the risk of IA. The odds ratios (ORs) were 0.44 (95% confidence interval (CI): 0.37-0.52) for educational attainment, 1.15 (95% CI: 1.08-1.23) for insomnia, 1.56 (95% CI: 1.38-1.75) for smoking initiation, 2.69 (95% CI: 1.77-4.07) for cigarette per day, 2.65 (95% CI: 1.72-4.08) for lifetime smoking, 1.07 (95% CI: 1.06-1.09), and 1.06 (95% CI: 1.04-1.10) for SBP and DBP, respectively. Similar effect estimates were observed for unruptured IAs and aneurysmal subarachnoid hemorrhage. This study provided genetic evidence that several modifiable risk factors, including blood pressure, smoking, educational attainment, and insomnia were associated with the risk of IA.
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