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关于多发性硬化症的孟德尔随机化研究的系统评价。

A systematic review of Mendelian randomization studies on multiple sclerosis.

作者信息

Fazia Teresa, Baldrighi Giulia Nicole, Nova Andrea, Bernardinelli Luisa

机构信息

Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

出版信息

Eur J Neurosci. 2023 Aug;58(4):3172-3194. doi: 10.1111/ejn.16088. Epub 2023 Jul 18.

DOI:10.1111/ejn.16088
PMID:37463755
Abstract

Mendelian randomization (MR) is a powerful approach for assessing the causal effect of putative risk factors on an outcome, using genetic variants as instrumental variables. The methodology and application developed in the framework of MR have been dramatically improved, taking advantage of the many public genome-wide association study (GWAS) data. The availability of summary-level data allowed to perform numerous MR studies especially for complex diseases, pinpointing modifiable exposures causally related to increased or decreased disease risk. Multiple sclerosis (MS) is a complex multifactorial disease whose aetiology involves both genetic and non-genetic risk factors and their interplay. Previous observational studies have revealed associations between candidate modifiable exposures and MS risk; although being prone to confounding, and reverse causation, these studies were unable to draw causal conclusions. MR analysis addresses the limitations of observational studies and allows to establish reliable and accurate causal conclusions. Here, we systematically reviewed the studies evaluating the causal effect, through MR, of genetic and non-genetic exposures on MS risk. Among 107 papers found, only 42 were eligible for final evaluation and qualitative synthesis. We found that, above all, low vitamin D levels and high adult body mass index (BMI) appear to be uncontested risk factors for increased MS risk.

摘要

孟德尔随机化(MR)是一种强大的方法,用于评估假定风险因素对某一结果的因果效应,它使用基因变异作为工具变量。在MR框架下发展起来的方法和应用已得到显著改进,这得益于众多公开的全基因组关联研究(GWAS)数据。汇总水平数据的可用性使得能够开展大量的MR研究,尤其是针对复杂疾病的研究,从而确定与疾病风险增加或降低存在因果关系的可改变暴露因素。多发性硬化症(MS)是一种复杂的多因素疾病,其病因涉及遗传和非遗传风险因素及其相互作用。以往的观察性研究揭示了候选可改变暴露因素与MS风险之间的关联;尽管这些研究容易受到混杂因素和反向因果关系的影响,但仍无法得出因果结论。MR分析解决了观察性研究的局限性,并能够得出可靠且准确的因果结论。在此,我们系统回顾了通过MR评估遗传和非遗传暴露因素对MS风险的因果效应的研究。在找到的107篇论文中,只有42篇符合最终评估和定性综合分析的条件。我们发现,最重要的是,低维生素D水平和高成人身体质量指数(BMI)似乎是MS风险增加的无可争议的风险因素。

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