回复 "长期暴露于环境微粒物质与认知能力之间的因果关系:孟德尔随机化的启示"。

Journal of hazardous materials Pub Date : 2024-10-05 Epub Date: 2024-08-22 DOI:10.1016/j.jhazmat.2024.135622
Kejia Hu, Jin Qi, Yao Yao
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引用次数: 0

摘要

Li等人[1]对我们最近发表的研究细颗粒物(PM2.5)成分暴露与认知障碍风险之间关系的论文[2]发表了评论。他们利用来自欧洲人群的大规模全基因组关联研究(GWAS)数据集进行了孟德尔随机化(MR)分析,证实了 PM2.5 暴露与认知能力之间的因果关系。在我们的回答中,我们采用了三种因果推理模型,包括广义倾向得分(GPS)调整的 Cox 模型、反概率权重(IPW)加权的 Cox 模型和经过修剪的 IPW 加权的 Cox 模型,来证实我们的研究队列中 PM2.5 与认知障碍之间的关系。
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Reply to 'The causal relationship between long-term exposure to ambient fine particulate matter and cognitive performance: Insights from Mendelian randomization'.

Li et al. [1] have commented on our recent paper investigating the association between exposure to fine particulate matter (PM2.5) constituents and the risk of cognitive impairment [2]. They provided a Mendelian randomization (MR) analysis using large-scale genome-wide association study (GWAS) datasets from the European population, confirming a causal relationship between PM2.5 exposure and cognitive performance. In our reply, we employed three causal inference models, including a generalized propensity score (GPS) adjusted Cox model, an inverse-probability weights (IPW) weighted Cox model, and a trimmed IPW-weighted Cox model, to confirm the relationship of PM2.5 and cognitive impairment in our study cohort.

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