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利用全基因组关联研究(GWAS)数据进行的通路分析检测到房颤与mTOR信号通路之间的关联。

Pathway analysis with genome-wide association study (GWAS) data detected the association of atrial fibrillation with the mTOR signaling pathway.

作者信息

Ebana Yusuke, Sun Yihan, Yang Xiaoxi, Watanabe Taiju, Makita Satoru, Ozaki Kouichi, Tanaka Toshihiro, Arai Hirokuni, Furukawa Tetsushi

机构信息

Life Science and Bioethics Research Center, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-0034, Japan.

Department of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo, Japan.

出版信息

Int J Cardiol Heart Vasc. 2019 Jul 4;24:100383. doi: 10.1016/j.ijcha.2019.100383. eCollection 2019 Sep.

Abstract

BACKGROUND

Genome-wide association studies (GWAS) have identified numerous loci associated with diseases and traits. However, the elucidation of disease mechanisms followed by drug development has remained a challenge owing to complex gene interactions. We performed pathway analysis with MAGENTA (Meta-Analysis Geneset Enrichment of variaNT Associations) to clarify the pathways in genetic background of AF.

METHODS

The existing GWAS data were analyzed using MAGENTA. A microarray analysis was then performed for the identified pathways with human atrial tissues, followed by Gene-Set Enrichment Analysis (GSEA).

RESULTS

MAGENTA identified two novel candidate pathways for AF pathogenesis, the CTCF (CCCTC-binding factor,  = 1.00 × 10, FDR q = 1.64 × 10) and mTOR pathways (mammalian target of rapamycin,  = 3.00 × 10, FDR q = 3.13 × 10). The microarray analysis with human atrial tissue using the GSEA indicated that the mTOR pathway was suppressed in AF cases compared with non-AF cases, validating the MAGENTA results, but not CTCF pathway.

CONCLUSIONS

MAGENTA identified a novel pathway, mTOR, followed by GSEA with human atrial tissue samples. mTOR pathway is a key interface that adapts the change of environments by pressure overload and metabolic perturbation. Our results indicate that the MTOR pathway is involved in the pathogenesis of AF, although the details of the basic mechanism remain unknown and further analysis for causal-relationship of mTOR pathway to AF is required. CTCF pathway is essential for construction of chromatin structure and transcriptional process. The gene-set components of CTCF overlap with those of mTOR in Biocarta.

摘要

背景

全基因组关联研究(GWAS)已确定了许多与疾病和性状相关的基因座。然而,由于复杂的基因相互作用,阐明疾病机制并随后进行药物开发仍然是一项挑战。我们使用MAGENTA(变异关联的元分析基因集富集)进行通路分析,以阐明房颤遗传背景中的通路。

方法

使用MAGENTA分析现有的GWAS数据。然后对鉴定出的通路用人心房组织进行微阵列分析,随后进行基因集富集分析(GSEA)。

结果

MAGENTA确定了两条新的房颤发病机制候选通路,即CTCF(CCCTC结合因子,P = 1.00×10,FDR q = 1.64×10)和mTOR通路(雷帕霉素哺乳动物靶点,P = 3.00×10,FDR q = 3.13×10)。使用GSEA对人心房组织进行的微阵列分析表明,与非房颤病例相比,房颤病例中mTOR通路受到抑制,验证了MAGENTA的结果,但未验证CTCF通路。

结论

MAGENTA确定了一条新通路mTOR,随后用人心房组织样本进行GSEA。mTOR通路是一个关键界面,可通过压力过载和代谢扰动来适应环境变化。我们的结果表明,MTOR通路参与了房颤的发病机制,尽管基本机制的细节尚不清楚,需要进一步分析mTOR通路与房颤的因果关系。CTCF通路对于染色质结构的构建和转录过程至关重要。在Biocarta中,CTCF的基因集成分与mTOR的基因集成分重叠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7702/6612921/761389c07ad9/gr1.jpg

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