Related Factors with Vascular Dementia: A Two-Sample Mendelian Randomization Study.

Shang-Mei Cao, Meng Luo, Bo-Lin Chen, Xiu-Hong Fu
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Abstract

Pathogenesis of vascular dementia (VD) is still unclear, there are currently no effective prevention and treatment methods. We applied Mendelian randomization (MR) using summary statistics from large-scale GWAS of metabolites and VD to reveal the causal effect of metabolites on the VD. One set of genetics instrument was used for analysis, derived from publicly available genetic summary data. Which was 32 single-nucleotide polymorphisms robustly associated with metabolites. Inverse-variance weighted, weighted median method, MR-Egger regression, and MR Pleiotropy RESidual Sum and Outlier test were used for MR analyses. Strong evidence for a positive effect of metabolites, which means N6-threonylcarbamoyladenosine (t6A) on VD was found in inverse-variance weighted (odds ratios [OR]: 0.667, 95% confidence interval [CI]: 0.548-0.812, p < 0.001), MR-Egger (OR: 0.647, 95% CI: 0.458-0.913, p = 0.019), and weighted median (OR: 0.650, 95% CI: 0.466-0.908, p = 0.012). The MR analysis indicated that metabolites (t6A) may be causally associated with a positive effect on VD.

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血管性痴呆的相关因素:双样本孟德尔随机研究
背景:血管性痴呆(VD)的发病机制尚不清楚,目前也没有有效的预防和治疗方法。我们利用大规模代谢物和血管性痴呆基因组研究的汇总统计数据,应用孟德尔随机分析法(MR)揭示代谢物对血管性痴呆的因果效应:分析中使用了一组遗传学工具,这些工具来自公开的遗传学汇总数据。其中有 32 个单核苷酸多态性(SNPs)与代谢物密切相关。反方差加权法、加权中值法、MR-Egger 回归法、MR Pleiotropy RESidual Sum 和离群检验被用于 MR 分析:结果:在逆方差加权法(OR:0.667,95% CI:0.548-0.812,p <0.001)、MR-Egger(OR:0.647,95% CI:0.458-0.913,p =0.019)和加权中位数(OR:0.650,95% CI:0.466-0.908,p =0.012):MR分析表明,代谢物(t6A)可能与对VD的积极影响有因果关系。
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