通过双样本孟德尔随机分析筛选出的抑郁症风险因素:系统回顾

Han Lin Wang, Yan Feng Xue, Bao Qiu Cui, Hong Liu, Xin Xin Shen
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摘要

目的:本研究从MR-Base数据库中探索了抑郁症和重度抑郁障碍(MDD)的潜在可调节因素,并进一步评估了药物靶点与MDD之间的关联:本研究探讨了MR-Base数据库中抑郁症和重度抑郁障碍(MDD)的潜在可改变因素,并进一步评估了药物靶点与MDD之间的关联:我们利用全基因组关联研究(GWAS)中的遗传变异抑郁症(n = 113,154 例)和重度抑郁症(n = 208,811 例)对孟德尔随机化(2SMR)进行了分析。此外,还利用 MR-Base 中的可改变风险因素对 1,001 个基因组进行了单独计算。MR分析是通过筛选DrugBank数据库中与MDD相关的药物靶点来探索MDD的治疗靶点。采用反方差加权(IVW)、固定效应反方差加权(FE-IVW)、MR-Egger、加权中位数和加权模式进行补充计算:可改变的风险因素与抑郁症之间的潜在因果关系中,抑郁症有 459 项结果,多发性抑郁症有 424 项结果。此外,药物靶点与 MDD 之间的关联显示,SLC6A4、GRIN2A、GRIN2C、SCN10A 和 IL1B 的表达与抑郁症风险增加有关。相比之下,ADRB1、CHRNA3、HTR3A、GSTP1 和 GABRG2 基因则是抑郁症的候选保护因素:这项研究确定了与抑郁症和多发性抑郁症有因果关系的风险因素,并估计了对多发性抑郁症有重大影响的 10 个药物靶点,为制定预防和治疗抑郁症的策略提供了重要信息。
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Risk Factors of Depression Screened by Two-Sample Mendelian Randomization Analysis: A Systematic Review.

Objective: This study explored the potentially modifiable factors for depression and major depressive disorder (MDD) from the MR-Base database and further evaluated the associations between drug targets with MDD.

Methods: We analyzed two-sample of Mendelian randomization (2SMR) using genetic variant depression ( n = 113,154) and MDD ( n = 208,811) from Genome-Wide Association Studies (GWAS). Separate calculations were performed with modifiable risk factors from MR-Base for 1,001 genomes. The MR analysis was performed by screening drug targets with MDD in the DrugBank database to explore the therapeutic targets for MDD. Inverse variance weighted (IVW), fixed-effect inverse variance weighted (FE-IVW), MR-Egger, weighted median, and weighted mode were used for complementary calculation.

Results: The potential causal relationship between modifiable risk factors and depression contained 459 results for depression and 424 for MDD. Also, the associations between drug targets and MDD showed that SLC6A4, GRIN2A, GRIN2C, SCN10A, and IL1B expression are associated with an increased risk of depression. In contrast, ADRB1, CHRNA3, HTR3A, GSTP1, and GABRG2 genes are candidate protective factors against depression.

Conclusion: This study identified the risk factors causally associated with depression and MDD, and estimated 10 drug targets with significant impact on MDD, providing essential information for formulating strategies to prevent and treat depression.

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