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Genetic variants of the human host influencing the coronavirus-associated phenotypes (SARS, MERS and COVID-19): rapid systematic review and field synopsis

机译:人宿主的遗传变异,影响冠状病毒相关的表型(SARS,MERS和Covid-19):快速系统审查和现场概要

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The COVID-19 pandemic has strengthened the interest in the biological mechanisms underlying the complex interplay between infectious agents and the human host. The spectrum of phenotypes associated with the SARS-CoV-2 infection, ranging from the absence of symptoms to severe systemic complications, raised the question as to what extent the variable response to coronaviruses (CoVs) is influenced by the variability of the hosts’ genetic background. To explore the current knowledge about this question, we designed a systematic review encompassing the scientific literature published from Jan. 2003 to June 2020, to include studies on the contemporary outbreaks caused by SARS-CoV-1, MERS-CoV and SARS-CoV-2 (namely SARS, MERS and COVID-19 diseases). Studies were eligible if human genetic variants were tested as predictors of clinical phenotypes. An ad hoc protocol for the rapid review process was designed according to the PRISMA paradigm and registered at the PROSPERO database (ID: CRD42020180860). The systematic workflow provided 32 articles eligible for data abstraction (28 on SARS, 1 on MERS, 3 on COVID-19) reporting data on 26 discovery cohorts. Most studies considered the definite clinical diagnosis as the primary outcome, variably coupled with other outcomes (severity was the most frequently analysed). Ten studies analysed HLA haplotypes (1 in patients with COVID-19) and did not provide consistent signals of association with disease-associated phenotypes. Out of 22 eligible articles that investigated candidate genes (2 as associated with COVID-19), the top-ranked genes in the number of studies were ACE2, CLEC4M (L-SIGN), MBL, MxA (n = 3), ACE, CD209, FCER2, OAS-1, TLR4, TNF-α (n = 2). Only variants in MBL and MxA were found as possibly implicated in CoV-associated phenotypes in at least two studies. The number of studies for each predictor was insufficient to conduct meta-analyses. Studies collecting large cohorts from different ancestries are needed to further elucidate the role of host genetic variants in determining the response to CoVs infection. Rigorous design and robust statistical methods are warranted.
机译:Covid-19大流行增强了在传染性药剂和人宿主之间复杂相互作用的基础潜在的生物机制的兴趣。与SARS-COV-2感染相关的表型,从没有症状到严重的全身性并发症,提出了关于冠状病毒(COV)的可变响应的问题受到宿主遗传学的可变性的影响背景。为了探讨目前关于这个问题的知识,我们设计了一个系统审查,包括从2003年1月至2020年6月发布的科学文学,包括由SARS-COV-1,MERS-COV和SARS-COV引起的当代爆发的研究2(即SARS,MERS和Covid-19疾病)。如果以临床表型的预测因子测试人类遗传变异,则研究符合资格。根据Prisma Paradigm设计了快速审查过程的AD Hoc协议,并在Prospero数据库中注册(ID:CRD42020180860)。系统工作流程提供了32篇文章,符合数据抽象条件(SARS上的28个,在COVID-19上的3个)报告数据上的数据报告数据。大多数研究被认为是作为主要结果的明确临床诊断,可变地与其他结果(严重程度最常分析)。 10项研究分析了HLA单倍型(Covid-19患者1),并且没有提供与疾病相关表型相关联的一致信号。在22个符合条件的文章中调查候选基因(与Covid-19相关的2),研究数量的排名基因是ACE2,CLEC4M(L-Sign),MBL,MXA(N = 3),ACE, CD209,Fcar2,OAS-1,TLR4,TNF-α(n = 2)。仅发现MBL和MXA中的变体可能涉及至少两项研究中的COV相关表型。每个预测器的研究数量不足以进行Meta分析。需要研究来自不同祖先的大群体,以进一步阐明宿主遗传变异在确定对COVS感染的反应时的作用。有必要严格的设计和强大的统计方法。

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