通过全现象关联研究和门德尔随机化分析在大规模前性队列中确定缺血性中风的新型可修改的风险因素
Siyu Wu1,2, Jialin Li1,2, Xinyue Zhao3
1Human Phenome Institute, Research and Innovation Center, Shanghai Pudong Hospital, Zhangjiang Fudan International Innovation Center, Fudan University, 2005 Songhu Rd, Shanghai, 200433, China.
GeroScience
|September 17, 2025
概括
这项研究确定了145个可修改的缺血性中风风险因素,包括肺功能和生活方式. 这些发现可能会改善IS的预防策略.
科学领域:
- 遗传学和流行病学
- 心血管疾病研究研究
- 公共卫生 公共卫生
背景情况:
- 关于缺血性中风 (IS) 的可修改风险因素仍然存在重大不确定性.
- 识别新的风险因素对于制定有效的预防策略至关重要.
研究的目的:
- 系统地识别和验证广泛的潜在可修改的IS风险因素.
- 评估已识别的因素与IS风险之间的潜在因果关系.
主要方法:
- 利用来自英国生物库 (N=418,236) 的遗传和表型数据.
- 进行了全现象关联研究 (PheWAS) 和考克斯回归分析.
- 进行了两样本的孟德尔随机化 (MR) 分析,以评估因果关系.
主要成果:
- 在1023个可修改因素中,145个与IS多基因风险得分 (IS-PRS) 和事件IS有显著的关联.
- 与IS风险降低相关的因素包括更好的肺功能和更多的电脑使用.
- 与IS风险增加相关的因素包括夏季户外暴露,睡眠问题,心理健康因素和面部衰老.
- 由于固体和液体引起的肺炎显示出最强的关联 (HR:7.65).
- 核磁共振分析证实了31个因素的因果关系,包括肺功能恶化和白天睡眠时间长.
结论:
- 在身体,生活方式和心理健康领域全面确定了许多新的可修改的IS风险因素.
- 这些发现支持制定有针对性和有效的IS预防策略.
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