Thibord Florian, Chan Melissa V, Chen Ming-Huei, Johnson Andrew D
Division of Intramural Research, Population Sciences Branch, Framingham, MA 01702, USA.
HGG Adv. 2022 Apr 14;3(2):100095. doi: 10.1016/j.xhgg.2022.100095. Epub 2022 Feb 22.
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.
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。