A cross-tissue transcriptome-wide association study reveals novel susceptibility genes for migraine

Jianxiong Gui, Xiaoyue Yang, Chen Tan, Lingman Wang, Linxue Meng, Ziyao Han, Jie Liu, Li Jiang
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Abstract

Migraine is a common neurological disorder with a strong genetic component. Despite the identification of over 100 loci associated with migraine susceptibility through genome-wide association studies (GWAS), the underlying causative genes and biological mechanisms remain predominantly elusive. The FinnGen R10 dataset, consisting of 333,711 subjects (20,908 cases and 312,803 controls), was utilized in conjunction with the Genotype-Tissue Expression Project (GTEx) v8 EQTls files to conduct cross-tissue transcriptome association studies (TWAS). Functional Summary-based Imputation (FUSION) was employed to validate these findings in single tissues. Additionally, candidate susceptibility genes were screened using Gene Analysis combined with Multi-marker Analysis of Genomic Annotation (MAGMA). Subsequent Mendelian randomization (MR) and colocalization analyses were conducted. Furthermore, GeneMANIA analysis was employed to enhance our understanding of the functional implications of these susceptibility genes. We identified a total of 19 susceptibility genes associated with migraine in the cross-tissue TWAS analysis. Two novel susceptibility genes, REV1 and SREBF2, were validated through both single tissue TWAS and MAGMA analysis. Mendelian randomization and colocalization analyses further confirmed these findings. REV1 may reduce the migraine risk by regulating DNA damage repair, while SREBF2 may increase the risk of migraine by regulating cholesterol metabolism. Our study identified two novel genes whose predicted expression was associated with the risk of migraine, providing new insights into the genetic framework of migraine.
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跨组织全转录组关联研究揭示了偏头痛的新型易感基因
偏头痛是一种常见的神经系统疾病,具有很强的遗传性。尽管通过全基因组关联研究(GWAS)确定了100多个与偏头痛易感性相关的基因位点,但潜在的致病基因和生物机制仍然主要是难以捉摸的。FinnGen R10 数据集由 333,711 名受试者(20,908 例病例和 312,803 例对照)组成,该数据集与基因型-组织表达项目(GTEx)v8 EQTls 文件一起用于开展跨组织转录组关联研究(TWAS)。采用基于功能摘要的推算(FUSION)在单个组织中验证了这些发现。此外,还使用基因分析结合基因组注释多标记分析(MAGMA)筛选了候选易感基因。随后进行了孟德尔随机化(MR)和共定位分析。此外,我们还采用了 GeneMANIA 分析来加深对这些易感基因功能意义的理解。在跨组织 TWAS 分析中,我们共发现了 19 个与偏头痛相关的易感基因。两个新的易感基因REV1和SREBF2通过单个组织TWAS和MAGMA分析得到了验证。孟德尔随机化和共定位分析进一步证实了这些发现。REV1可能通过调节DNA损伤修复降低偏头痛风险,而SREBF2可能通过调节胆固醇代谢增加偏头痛风险。我们的研究发现了两个预测表达与偏头痛风险相关的新基因,为偏头痛的遗传框架提供了新的见解。
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