整合 GWAS、eQTL 和 pQTL 数据的多组学孟德尔随机化发现 GSTM4 是治疗偏头痛的潜在药物靶点

Xinyue Sun, Bohong Chen, Yi Qi, Meng Wei, Wanying Chen, Xiaoyu Wu, Qingfan Wang, Jiahao Li, Xiangyu Lei, Guogang Luo
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引用次数: 0

摘要

偏头痛是一种复杂的神经系统疾病,给患者和社会带来沉重负担。尽管有成熟的疗法,但现有药物的疗效有限。因此,我们希望找到能改善偏头痛预后的药物靶点。我们使用孟德尔随机化(MR)和基于汇总数据的MR(SMR)分析,通过对芬兰基因队列(nCase = 44,616, nControl = 367,565 )的汇总统计,研究偏头痛的可能药物靶点,并在英国生物库(nCase = 26,052, nControl = 487,214 )中进一步复制。遗传工具来自 eQTLGen 和 UKB-PPP,用于在基因表达和蛋白质水平上验证药物靶点。为进一步巩固研究结果,还进行了贝叶斯共定位、依赖性工具异质性(HEIDI)、连锁不平衡评分(LDSC)、双向MR、多变量MR(MVMR)、异质性检验、水平多向性检验和Steiger过滤等附加分析。最后,采用药物预测分析和全表型关联研究(PheWAS)来暗示未来临床应用药物靶点的可能性。对eQTL数据的磁共振分析表明,在FinnGen和英国生物库队列中,四个药物靶点(PROCR、GSTM4、SLC4A1和TNFRSF10A)与偏头痛风险显著相关。然而,只有 GSTM4 在两个结果中表现出一致的效应方向(发现队列:OR(95%CI) = 0.94(0.93-0.96); p = 2.70e - 10; 复制队列:OR(95%CI) = 0.93(0.91-0.94); p = 4.21e - 17)。此外,GSTM4 在基因表达和蛋白质水平上的 SMR 值均为 p 0.05。蛋白质水平的 MR 分析表明,基因预测的 GSTM4 与偏头痛及其亚型的较低发病率之间存在很强的相关性:OR(95%CI)= 0.91(0.87-0.95);p = 6.98e-05;先兆偏头痛(MA):OR(95%CI)= 0.90(0.85-0.96);P=2.54e-03;无先兆偏头痛(MO):OR(95%CI)=0.90(0.83-0.96);P=2.87e-03),表明共定位关系很强(PPH4=0.86)。进一步的分析进一步验证了 GSTM4 作为偏头痛治疗靶点的可能性。这项研究确定了 GSTM4 是一个潜在的可药用基因,是治疗偏头痛的有希望的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-omics Mendelian randomization integrating GWAS, eQTL and pQTL data revealed GSTM4 as a potential drug target for migraine
Migraine, as a complex neurological disease, brings heavy burden to patients and society. Despite the availability of established therapies, existing medications have limited efficacy. Thus, we aimed to find the drug targets that improve the prognosis of migraine. We used Mendelian Randomization (MR) and Summary-data-based MR (SMR) analyses to study possible drug targets of migraine by summary statistics from FinnGen cohorts (nCase = 44,616, nControl = 367,565), with further replication in UK Biobank (nCase = 26,052, nControl = 487,214). Genetic instruments were obtained from eQTLGen and UKB-PPP to verify the drug targets at the gene expression and protein levels. The additional analyses including Bayesian co-localization, the heterogeneity in dependent instruments(HEIDI), Linkage Disequilibrium Score(LDSC), bidirectional MR, multivariate MR(MVMR), heterogeneity test, horizontal pleiotropy test, and Steiger filtering were implemented to consolidate the findings further. Lastly, drug prediction analysis and phenome-wide association study(PheWAS) were employed to imply the possibility of drug targets for future clinical applications. The MR analysis of eQTL data showed that four drug targets (PROCR, GSTM4, SLC4A1, and TNFRSF10A) were significantly associated with migraine risk in both the FinnGen and UK Biobank cohorts. However, only GSTM4 exhibited consistent effect directions across the two outcomes(Discovery cohort: OR(95%CI) = 0.94(0.93–0.96); p = 2.70e − 10; Replication cohort: OR(95%CI) = 0.93(0.91–0.94); p = 4.21e − 17). Furthermore, GSTM4 passed the SMR at p < 0.05 and HEIDI test at p > 0.05 at both the gene expression and protein levels. The protein-level MR analysis revealed a strong correlation between genetically predicted GSTM4 with a lower incidence of migraine and its subtypes(Overall migraine: OR(95%CI) = 0.91(0.87–0.95); p = 6.98e-05; Migraine with aura(MA): OR(95%CI) = 0.90(0.85–0.96); p = 2.54e-03; Migraine without aura(MO): OR(95%CI) = 0.90(0.83–0.96); p = 2.87e-03), indicating a strong co-localization relationship (PPH4 = 0.86). Further analyses provided additional validation for the possibility of GSTM4 as a migraine treatment target. This study identifies GSTM4 as a potential druggable gene and promising therapeutic target for migraine.
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