饮食和常见的女性疾病之间的因果关系:一个全面的门德尔随机化研究
Mengyu Fu1,2, Fengying Deng1,2, Jie Chen1,2
1Institute for Fetology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
BMC women's health
|December 28, 2025
概括
干果的摄入可能会降低乳腺癌的风险,而咖啡的消费可能会增加子宫纤维瘤的风险. 这项研究使用孟德尔的随机化方法探索了饮食与女性常见疾病的联系.
科学领域:
- 生殖健康 生殖健康
- 营养科学 营养科学
- 遗传流行病学遗传流行病学
背景情况:
- 女性患病率高的常见疾病对公共卫生构成重大挑战.
- 了解饮食与这些疾病之间的因果关系对于预防至关重要.
- 现有的研究往往缺乏对饮食因素的强有力的因果推理方法.
研究的目的:
- 研究特定饮食习惯与女性中普遍存在的9种常见疾病之间的因果关系.
- 使用双样本的门德尔随机化 (MR) 方法来进行可靠的因果推理.
- 为了确定非药物公共卫生干预的潜在饮食修改.
主要方法:
- 采用双样本的门德尔随机化 (MR) 方法.
- 利用来自欧洲队列的综合基因组广泛关联研究 (GWAS) 数据.
- 分析了21种饮食因素和9种普遍存在的女性疾病之间的遗传关联.
主要成果:
- 初步分析显示,饮食和妇科疾病之间存在许多关联.
- 在FDR校正后的重要发现:干果与乳腺癌风险相反相关;咖啡摄入量与子宫纤维瘤风险相对相关.
- 其他值得注意的关联 (FDR前的纠正) 包括干果,咖啡,酒精和各种肉类与乳腺,子宫内膜和卵巢癌以及良性疾病的风险.
结论:
- 该MR分析提供了潜在的因果关系与常见的女性疾病的潜在因果关系.
- 饮食修改,如增加干果摄入量和减少咖啡摄入量,可以作为预防策略.
- 研究结果支持开发非药物公共卫生干预措施,以促进妇女健康.
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