Computational Epigenomics & Systems Cardiology, Institute of Cardiovascular Regeneration, Goethe University and University Clinic, Frankfurt am Main, Germany.
German Center for Cardiovascular Research (DZHK), Partner site Rhein Main, Frankfurt am Main, Germany.
PLoS One. 2023 Nov 16;18(11):e0287725. doi: 10.1371/journal.pone.0287725. eCollection 2023.
The SARS-CoV-2 pandemic has affected nations globally leading to illness, death, and economic downturn. Why disease severity, ranging from no symptoms to the requirement for extracorporeal membrane oxygenation, varies between patients is still incompletely understood. Consequently, we aimed at understanding the impact of genetic factors on disease severity in infection with SARS-CoV-2. Here, we provide data on demographics, ABO blood group, human leukocyte antigen (HLA) type, as well as next-generation sequencing data of genes in the natural killer cell receptor family, the renin-angiotensin-aldosterone and kallikrein-kinin systems and others in 159 patients with SARS-CoV-2 infection, stratified into seven categories of disease severity. We provide single-nucleotide polymorphism (SNP) data on the patients and a protein structural analysis as a case study on a SNP in the SIGLEC7 gene, which was significantly associated with the clinical score. Our data represent a resource for correlation analyses involving genetic factors and disease severity and may help predict outcomes in infections with future SARS-CoV-2 variants and aid vaccine adaptation.
SARS-CoV-2 大流行已影响到全球各国，导致疾病、死亡和经济衰退。为什么患者之间的疾病严重程度（从无症状到需要体外膜氧合）存在差异，目前仍不完全清楚。因此，我们旨在了解遗传因素对 SARS-CoV-2 感染严重程度的影响。在这里，我们提供了 159 名 SARS-CoV-2 感染患者的人口统计学、ABO 血型、人类白细胞抗原（HLA）类型以及自然杀伤细胞受体家族、肾素-血管紧张素-醛固酮和激肽释放酶-激肽系统等基因的下一代测序数据，并将其分为疾病严重程度的七个类别。我们提供了患者的单核苷酸多态性（SNP）数据，并将 SNP 分析作为 SIGLEC7 基因中的 SNP 的案例研究，该 SNP 与临床评分显著相关。我们的数据代表了涉及遗传因素和疾病严重程度的相关分析的资源，这可能有助于预测未来 SARS-CoV-2 变异株感染的结果，并有助于疫苗适应。
