five

Data_Sheet_1_GWAS and polygenic risk score of severe COVID-19 in Eastern Europe.docx

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Data_Sheet_1_GWAS_and_polygenic_risk_score_of_severe_COVID-19_in_Eastern_Europe_docx/27059506
下载链接
链接失效反馈
官方服务:
资源简介:
BackgroundCOVID-19 disease has infected more than 772 million people, leading to 7 million deaths. Although the severe course of COVID-19 can be prevented using appropriate treatments, effective interventions require a thorough research of the genetic factors involved in its pathogenesis. MethodsWe conducted a genome-wide association study (GWAS) on 7,124 individuals (comprising 6,400 controls who had mild to moderate COVID-19 and 724 cases with severe COVID-19). The inclusion criteria were acute respiratory distress syndrome (ARDS), acute respiratory failure (ARF) requiring respiratory support, or CT scans indicative of severe COVID-19 infection without any competing diseases. We also developed a polygenic risk score (PRS) model to identify individuals at high risk. ResultsWe identified two genome-wide significant loci (P-value <5 × 10−8) and one locus with approximately genome-wide significance (P-value = 5.92 × 10−8-6.15 × 10−8). The most genome-wide significant variants were located in the leucine zipper transcription factor like 1 (LZTFL1) gene, which has been highlighted in several previous GWAS studies. Our PRS model results indicated that individuals in the top 10% group of the PRS had twice the risk of severe course of the disease compared to those at median risk [odds ratio = 2.18 (1.66, 2.86), P-value = 8.9 × 10−9]. ConclusionWe conducted one of the largest studies to date on the genetics of severe COVID-19 in an Eastern European cohort. Our results are consistent with previous research and will guide further epidemiologic studies on host genetics, as well as for the development of targeted treatments.
创建时间:
2024-09-19
二维码
社区交流群
二维码
科研交流群
商业服务