College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam 999077, Hong Kong Special Administrative Region of China; State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Pokfulam 999077, Hong Kong Special Administrative Region of China.
Virus Res. 2024 Apr;342:199341. doi: 10.1016/j.virusres.2024.199341. Epub 2024 Feb 25.
Genome-wide association study (GWAS) analysis has exposed that genetic factors play important roles in COVID-19. Whereas a deeper understanding of the underlying mechanism of COVID-19 was hindered by the lack of expression of quantitative trait loci (eQTL) data specific for disease. To this end, we identified COVID-19-specific cis-eQTLs by integrating nucleotide sequence variations and RNA-Seq data from COVID-19 samples. These identified eQTLs have different regulatory effect on genes between patients and controls, indicating that SARS-CoV-2 infection may cause alterations in the human body's internal environment. Individuals with the TT genotype in the rs1128320 region seemed more susceptible to SARS-CoV-2 infection and developed into severe COVID-19 due to the abnormal expression of IFITM1. We subsequently discovered potential causal genes, of the result, a total of 48 genes from six tissues were identified. siRNA-mediated depletion assays in SARS-CoV-2 infection proved that 14 causal genes were directly associated with SARS-CoV-2 infection. These results enriched existing research on COVID-19 causal genes and provided a new sight in the mechanism exploration for COVID-19.
全基因组关联研究(GWAS)分析表明,遗传因素在 COVID-19 中发挥着重要作用。然而,由于缺乏针对疾病的定量性状基因座(eQTL)数据的表达,对 COVID-19 潜在机制的深入理解受到了阻碍。为此,我们通过整合 COVID-19 样本的核苷酸序列变异和 RNA-Seq 数据,鉴定了 COVID-19 特异性顺式 eQTLs。这些鉴定出的 eQTLs 在患者和对照之间对基因具有不同的调控作用,表明 SARS-CoV-2 感染可能导致人体内部环境的改变。由于 IFITM1 的异常表达,rs1128320 区域的 TT 基因型个体似乎更容易感染 SARS-CoV-2,并发展为重症 COVID-19。我们随后发现了潜在的因果基因,结果共从六个组织中鉴定出 48 个基因。SARS-CoV-2 感染的 siRNA 介导的耗竭实验证明,14 个因果基因与 SARS-CoV-2 感染直接相关。这些结果丰富了 COVID-19 因果基因的现有研究,并为 COVID-19 机制探索提供了新的视角。