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通过分析公开的全基因组关联研究寻找与严重 COVID-19 相关的遗传因素的方案。

Protocol to search for genetic factors related to severe COVID-19 by analyzing publicly available genome-wide association studies.

机构信息

The Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang 550025, China.

Department of Emergency ICU, The Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China.

出版信息

STAR Protoc. 2024 Sep 20;5(3):103028. doi: 10.1016/j.xpro.2024.103028. Epub 2024 Jul 30.

Abstract

COVID-19 casualties vary among different ancestral groups due to a variety of factors. Here, we present a protocol for analyzing publicly available genome-wide association studies (GWASs) to search for ancestry-specific genetic factors related to severe COVID-19. We describe steps for downloading and comparing two COVID-19 GWASs, calculating expression quantitative trait loci, and single-cell gene expression analysis. We demonstrate this approach using GWASs from Host Genetics Initiative; however, it is applicable to other databases such as the UK Biobank. For complete details on the use and execution of this protocol, please refer to Cheng et al..

摘要

由于多种因素,不同祖先群体的 COVID-19 死亡率有所不同。在这里,我们提供了一个分析公开可用的全基因组关联研究 (GWAS) 的方案,以寻找与严重 COVID-19 相关的特定祖先遗传因素。我们描述了下载和比较两个 COVID-19 GWAS、计算表达数量性状基因座和单细胞基因表达分析的步骤。我们使用来自宿主遗传学倡议的 GWAS 来演示此方法;但是,它也适用于其他数据库,如英国生物银行。有关此方案使用和执行的完整详细信息,请参阅 Cheng 等人的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d29/11342177/a23d21e4f571/fx1.jpg

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