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PharmGWAS:基于 GWAS 的药物重定位知识库。

PharmGWAS: a GWAS-based knowledgebase for drug repurposing.

机构信息

CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Nucleic Acids Res. 2024 Jan 5;52(D1):D972-D979. doi: 10.1093/nar/gkad832.

Abstract

Leveraging genetics insights to promote drug repurposing has become a promising and active strategy in pharmacology. Indeed, among the 50 drugs approved by FDA in 2021, two-thirds have genetically supported evidence. In this regard, the increasing amount of widely available genome-wide association studies (GWAS) datasets have provided substantial opportunities for drug repurposing based on genetics discoveries. Here, we developed PharmGWAS, a comprehensive knowledgebase designed to identify candidate drugs through the integration of GWAS data. PharmGWAS focuses on novel connections between diseases and small-molecule compounds derived using a reverse relationship between the genetically-regulated expression signature and the drug-induced signature. Specifically, we collected and processed 1929 GWAS datasets across a diverse spectrum of diseases and 724 485 perturbation signatures pertaining to a substantial 33609 molecular compounds. To obtain reliable and robust predictions for the reverse connections, we implemented six distinct connectivity methods. In the current version, PharmGWAS deposits a total of 740 227 genetically-informed disease-drug pairs derived from drug-perturbation signatures, presenting a valuable and comprehensive catalog. Further equipped with its user-friendly web design, PharmGWAS is expected to greatly aid the discovery of novel drugs, the exploration of drug combination therapies and the identification of drug resistance or side effects. PharmGWAS is available at https://ngdc.cncb.ac.cn/pharmgwas.

摘要

利用遗传学见解来促进药物再利用已成为药理学中一种有前途且活跃的策略。事实上,在 2021 年获得 FDA 批准的 50 种药物中,有三分之二具有遗传支持证据。在这方面,越来越多广泛可用的全基因组关联研究 (GWAS) 数据集为基于遗传学发现的药物再利用提供了大量机会。在这里,我们开发了 PharmGWAS,这是一个综合知识库,旨在通过整合 GWAS 数据来识别候选药物。PharmGWAS 专注于疾病和小分子化合物之间的新联系,这些联系是使用受遗传调控表达特征和药物诱导特征之间的反向关系得出的。具体来说,我们收集和处理了 1929 个涵盖各种疾病的 GWAS 数据集和 724485 个与 33609 种分子化合物相关的扰动特征。为了获得反向连接的可靠和稳健预测,我们实施了六种不同的连接方法。在当前版本中,PharmGWAS 总共存入了 740227 个基于药物扰动特征的遗传信息疾病-药物对,提供了一个有价值和全面的目录。进一步配备用户友好的网络设计,PharmGWAS 有望极大地帮助发现新药物、探索药物联合治疗以及识别药物耐药性或副作用。PharmGWAS 可在 https://ngdc.cncb.ac.cn/pharmgwas 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e420/10767932/37274b145ef4/gkad832figgra1.jpg

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