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.

Resul

SUBMITTER: Zhang N 

PROVIDER: S-EPMC10259091 | biostudies-literature | 2023 Sep-Oct

REPOSITORIES: biostudies-literature