帕金森病孟德尔随机化研究的系统评价
Systematic review of Mendelian randomization studies on Parkinson's disease.
作者信息
Kappen Sophia, Bottigliengo Daniele, Caliebe Amke, Del Greco M Fabiola, König Inke R
机构信息
Institute of Medical Biometry and Statistics, University of Lübeck, University Hospital Schleswig-Holstein, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Institute for Biomedicine, Eurac Research, Via Galvani 31, 39100 Bolzano, Italy.
出版信息
Med Genet. 2022 Aug 12;34(2):143-150. doi: 10.1515/medgen-2022-2139. eCollection 2022 Jun.
BACKGROUND
Parkinson's disease (PD) is known to be associated with non-genetic factors. To infer causality, Mendelian randomization (MR) studies are increasingly used. Here, genetic variants are used as instrumental variables for the risk factor but have no direct effect on PD themselves.
METHODS
We performed a systematic literature review on MR studies for PD. Studies were identified searching the PubMed database. Upon data extraction, we evaluated the methodological quality and summarized the evidence.
RESULTS
Twelve articles were included. Most studies showed "good" methodological quality, but most did not report proper power estimations. Twelve analyses yielded nominally significant effects.
CONCLUSIONS
Our systematic review shows that most MR studies were well performed and allow to identify causal exposures, which may inform further studies on the prevention and early intervention of PD.
背景
已知帕金森病（PD）与非遗传因素有关。为了推断因果关系，孟德尔随机化（MR）研究的应用越来越广泛。在此，基因变异被用作危险因素的工具变量，但对帕金森病本身没有直接影响。
方法
我们对帕金森病的孟德尔随机化研究进行了系统的文献综述。通过检索PubMed数据库来识别研究。在数据提取后，我们评估了方法学质量并总结了证据。
结果
纳入了12篇文章。大多数研究显示出“良好”的方法学质量，但大多数未报告适当的效能估计。12项分析产生了名义上显著的效应。
结论
我们的系统综述表明，大多数孟德尔随机化研究执行良好，能够识别因果暴露，这可能为帕金森病预防和早期干预的进一步研究提供信息。
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