Dataset Information

A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection.

ABSTRACT:

Objectives

Previous studies identified a number of diseases were associated with 2019 coronavirus disease (COVID-19). However, the associations between these diseases related viral infections and COVID-19 remains unknown now.

Methods

In this study, we utilized single nucleotide polymorphisms (SNPs) related to COVID-19 from genome-wide association study (GWAS) and individual-level genotype data from the UK biobank to calculate polygenic risk scores (PRS) of 487,409 subjects for eight COVID-19 clinical phenotypes. Then, multiple logistic regression models were established to assess the correlation between serological measurements (positive/negative) of 25 viruses and the PRS of eight COVID-19 clinical phenotypes. And we performed stratified analyses by age and gender.

Results

In whole population, we identified 12 viruses associated with the PRS of COVID-19 clinical phenotypes, such as VZV seropositivity for Varicella Zoster Virus (Unscreened/Exposed_Negative: β = 0.1361, P = 0.0142; Hospitalized/Unscreened: β = 0.1167, P = 0.0385) and MCV seropositivity for Merkel Cell Polyomavirus (Unscreened/Exposed_Negative: β = -0.0614, P = 0.0478). After age stratification, we identified seven viruses associated with the PRS of eight COVID-19 clinical phenotypes. After gender stratification, we identified five viruses associated with the PRS of eight COVID-19 clinical phenotypes in the women group.

Conclusion

Our study findings suggest that the genetic susceptibility to different COVID-19 clinical phenotypes is associated with the infection status of various common viruses.

SUBMITTER: Zhang N

PROVIDER: S-EPMC10259091 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection.

Zhang Na N Chen Yujing Y Li Chun'e C Qin Xiaoyue X He Dan D Wei Wenming W Zhao Yijing Y Cai Qingqing Q Shi Sirong S Chu Xiaoge X Wen Yan Y Jia Yumeng Y Zhang Feng F

Microbes and infection 20230612 7

<h4>Objectives</h4>Previous studies identified a number of diseases were associated with 2019 coronavirus disease (COVID-19). However, the associations between these diseases related viral infections and COVID-19 remains unknown now.<h4>Methods</h4>In this study, we utilized single nucleotide polymorphisms (SNPs) related to COVID-19 from genome-wide association study (GWAS) and individual-level genotype data from the UK biobank to calculate polygenic risk scores (PRS) of 487,409 subjects for eig ...[more]

PMID: 37315735

Similar Datasets

Project description:BackgroundGenetic predisposition to COVID-19 may contribute to its morbidity and mortality. Because cytokines play an important role in multiple phases of infection, we examined whether commonly occurring, functional polymorphisms in macrophage migration inhibitory factor (MIF) are associated with COVID-19 infection or disease severity.AimTo determine associations of common functional polymorphisms in MIF with symptomatic COVID-19 or its severity.MethodsThis retrospective case control study utilized 1171 patients with COVID-19 from three tertiary medical centers in the United States, Hungary, and Spain, together with a group of 637 pre-pandemic, healthy control subjects. Functional MIF promoter alleles (-794 CATT5-8, rs5844572), serum MIF and soluble MIF receptor levels, and available clinical characteristics were measured and correlated with COVID-19 diagnosis and hospitalization. Experimental mice genetically engineered to express human high- or low-expression MIF alleles were studied for response to coronavirus infection.ResultsIn patients with COVID-19, there was a lower frequency of the high-expression MIF CATT7 allele when compared to healthy controls (11% vs. 19%, OR: 0.54 [0.41, 0.72], p < 0.0001). Among inpatients with COVID-19 (n = 805), there was a higher frequency of the MIF CATT7 allele compared to outpatients (n = 187) (12% vs. 5%, OR: 2.87 [1.42, 5.78], p = 0.002). Inpatients presented with higher serum MIF levels when compared to outpatients or uninfected healthy controls (87 ng/ml vs. 35 ng/ml vs. 29 ng/ml, p < 0.001, respectively). Among inpatients, circulating MIF concentrations correlated with admission ferritin (r = 0.19, p = 0.01) and maximum CRP (r = 0.16, p = 0.03) levels. Mice with a human high-expression MIF allele showed more severe disease than those with a low-expression MIF allele.ConclusionsIn this multinational retrospective study of 1171 subjects with COVID-19, the commonly occurring -794 CATT7 MIF allele is associated with reduced susceptibility to symptomatic SARS-CoV-2 infection but increased disease progression as assessed by hospitalization. These findings affirm the importance of host genetics in different stages of COVID-19 infection.

Dataset Information

A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection.

Objectives

Methods

Results

Conclusion

Publications

A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets