| Title: | A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection |
| Journal: | Microbes and Infection |
| Published: | 12 Jun 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37315735/ |
| DOI: | https://doi.org/10.1016/j.micinf.2023.105170 |
| URL: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259091 |
Publication 10508
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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.</p>
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.</p>
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 in the age < 65 years group. After gender stratification, we identified five viruses associated with the PRS of eight COVID-19 clinical phenotypes in the women group.</p>
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.</p>
13 Authors
- Na Zhang
- Yujing Chen
- Chun'e Li
- Xiaoyue Qin
- Dan He
- Wenming Wei
- Yijing Zhao
- Qingqing Cai
- Sirong Shi
- Xiaoge Chu
- Yan Wen
- Yumeng Jia
- Feng Zhang
1 Application
| Application ID | Title |
|---|---|
| 46478 | Multi-omics integrative studies of common psychiatric disorders and skeletal disorders |
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