冠状病毒宿主遗传学南非 (COHG-SA) 数据库 - 一个与 SARS-CoV-2 结果相关基因区域的变异数据库。

Coronavirus Host Genetics South Africa (COHG-SA) database-a variant database for gene regions associated with SARS-CoV-2 outcomes.

机构信息

Institute for Cellular and Molecular Medicine, Department of Immunology, SAMRC Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Centre for Bioinformatics and Computational Biology, Genomics Research Institute, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.

出版信息

Eur J Hum Genet. 2022 Aug;30(8):880-888. doi: 10.1038/s41431-022-01089-8. Epub 2022 Mar 29.

DOI:10.1038/s41431-022-01089-8

PMID:35351987

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8960680/

Abstract

The SARS-CoV-2 virus is responsible for the COVID-19 global public health emergency, and the disease it causes is highly variable in its clinical presentation. Clinical phenotypes are heterogeneous both in terms of presentation of symptoms in the host and response to therapy. Several studies and initiatives have been established to analyse and review host genetic epidemiology associated with COVID-19. Our research group curated these articles into a web-based database using the python application-server framework Django. The database provides a searchable research tool describing current literature surrounding COVID-19 host genetic factors associated with disease outcome. This paper describes the COHG-SA database and provides an overview of the analyses that can be derived from these data.

摘要

严重急性呼吸综合征冠状病毒 2 型（SARS-CoV-2）引发了 COVID-19 全球公共卫生紧急事件，其导致的疾病在临床表现上具有高度可变性。在宿主症状表现和对治疗的反应方面，临床表型均存在异质性。为了分析和回顾与 COVID-19 相关的宿主遗传流行病学，已经开展了多项研究和计划。我们的研究小组使用 Python 应用程序服务器框架 Django 将这些文章整理到一个基于网络的数据库中。该数据库提供了一个可搜索的研究工具，用于描述与疾病结局相关的 COVID-19 宿主遗传因素的现有文献。本文描述了 COHG-SA 数据库，并概述了可以从这些数据中得出的分析结果。