Aix Marseille Univ, INSERM, TAGC, UMR_S_1090, MarMaRa Institute, 13288 Marseille, France.
Medical Intensive Care Unit, Clermont-Ferrand University Hospital, 58 rue Montalembert, 63003 Clermont-Ferrand, France.
Int J Mol Sci. 2021 May 29;22(11):5852. doi: 10.3390/ijms22115852.
The high mortality rate in septic shock patients is likely due to environmental and genetic factors, which influence the host response to infection. Two genome-wide association studies (GWAS) on 832 septic shock patients were performed. We used integrative bioinformatic approaches to annotate and prioritize the sepsis-associated single nucleotide polymorphisms (SNPs). An association of 139 SNPs with death based on a false discovery rate of 5% was detected. The most significant SNPs were within the gene involved in cytokine regulation. Among the 139 SNPs associated with death and the 1311 SNPs in strong linkage disequilibrium with them, we investigated 1439 SNPs within non-coding regions to identify regulatory variants. The highest integrative weighted score (IW-score) was obtained for rs143356980, indicating that this SNP is a robust regulatory candidate. The rs143356980 region is located in a non-coding region close to the gene. A CRISPR-Cas9-mediated deletion of this region and specific luciferase assays in K562 cells showed that rs143356980 modulates the enhancer activity in K562 cells. These analyses allowed us to identify several genes associated with death in patients with septic shock. They suggest that genetic variations in key genes, such as , perturb relevant pathways, increasing the risk of death in sepsis patients.
脓毒性休克患者的高死亡率可能归因于环境和遗传因素,这些因素影响宿主对感染的反应。对 832 名脓毒性休克患者进行了两项全基因组关联研究(GWAS)。我们使用综合生物信息学方法对与脓毒症相关的单核苷酸多态性(SNP)进行注释和优先级排序。根据 5%的错误发现率,检测到与死亡相关的 139 个 SNP。最显著的 SNP 位于参与细胞因子调节的 基因内。在与死亡相关的 139 个 SNP 和与它们强连锁不平衡的 1311 个 SNP 中,我们研究了非编码区域内的 1439 个 SNP,以鉴定调节变体。rs143356980 获得了最高的综合加权评分(IW-score),表明该 SNP 是一个稳健的调节候选物。rs143356980 区域位于 基因附近的非编码区域。通过 CRISPR-Cas9 介导的该区域缺失和 K562 细胞中的特定荧光素酶测定,表明 rs143356980 调节了 K562 细胞中的增强子活性。这些分析使我们能够鉴定出与脓毒性休克患者死亡相关的几个基因。它们表明,关键基因中的遗传变异,如 ,扰乱了相关途径,增加了脓毒症患者死亡的风险。