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来自GRASP门户网站的一年新冠病毒全基因组关联研究结果揭示了潜在的遗传风险因素。

A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors.

作者信息

Thibord Florian, Chan Melissa V, Chen Ming-Huei, Johnson Andrew D

机构信息

Division of Intramural Research, Population Sciences Branch, Framingham, MA 01702, USA.

出版信息

HGG Adv. 2022 Apr 14;3(2):100095. doi: 10.1016/j.xhgg.2022.100095. Epub 2022 Feb 22.

Abstract

Host genetic variants influence the susceptibility and severity of several infectious diseases, and the discovery of genetic associations with coronavirus disease 2019 (COVID-19) phenotypes could help to develop new therapeutic strategies to decrease its burden. Between May 2020 and June 2021, we used COVID-19 data released periodically by UK Biobank and performed 65 genome-wide association studies in up to 18 releases of COVID-19 susceptibility (n = 18,481 cases in June 2021), hospitalization (n = 3,260), severe outcomes (n = 1,244), and deaths (n = 1,104), stratified by sex and ancestry. In coherence with previous studies, we observed two independent signals at the chr3p21.31 locus (rs73062389-A, odds ratio [OR], 1.21 (P = 4.26 × 10) and rs71325088-C, OR, 1.62 [P = 2.25 × 10]) modulating susceptibility and severity, respectively, and a signal influencing susceptibility at the locus (rs9411378-A; OR, 1.10; P = 3.30 × 10), suggesting an increased risk of infection in non-O blood groups carriers. Additional signals at the (associated with severity and death) (susceptibility in non-European) and chr2q32.3 (susceptibility in women) loci were also identified, but did not replicate in independent datasets. We then devised an approach to extract variants suggestively associated (P < 10), exhibiting an increase in significance over time. When applied to the susceptibility, hospitalization and severity analyses, this approach revealed the known , , and loci, respectively, among hundreds of other signals. These results, freely available on the GRASP portal, provide insights on the genetic mechanisms involved in COVID-19 phenotypes.

摘要

宿主基因变异会影响多种传染病的易感性和严重程度,发现与2019冠状病毒病(COVID-19)表型的基因关联有助于制定新的治疗策略以减轻其负担。在2020年5月至2021年6月期间,我们使用了英国生物银行定期发布的COVID-19数据,并在多达18次发布的COVID-19易感性(2021年6月有18481例病例)、住院情况(3260例)、严重结局(1244例)和死亡情况(1104例)数据中进行了65项全基因组关联研究,按性别和血统分层。与之前的研究一致,我们在chr3p21.31位点观察到两个独立信号(rs73062389 - A,优势比[OR]为1.21,P = 4.26×10;rs71325088 - C,OR为1.62,P = 2.25×10),分别调节易感性和严重程度,以及在该位点有一个影响易感性的信号(rs9411378 - A;OR为1.10;P = 3.30×10),表明非O血型携带者感染风险增加。在其他位点(与严重程度和死亡相关)、(非欧洲人的易感性)和chr2q32.3(女性的易感性)也发现了其他信号,但在独立数据集中未得到重复验证。然后我们设计了一种方法来提取暗示性相关的变异(P < 10),这些变异的显著性随时间增加。当应用于易感性、住院情况和严重程度分析时,该方法分别在数百个其他信号中揭示了已知的、和位点。这些结果可在GRASP门户网站上免费获取,为COVID-19表型所涉及的遗传机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683e/8914997/7c8e4dad724b/gr1.jpg

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