Unknown

Dataset Information

Exploring genetic associations between allergic diseases and indicators of COVID-19 using mendelian randomization.


ABSTRACT: We carried out a bidirectional Mendelian randomization (MR) including cases of eczema (N = 218,792), asthma (N = 462,933), and allergic rhinitis (N = 112,583). COVID-19 susceptibility (N = 1,683,768), COVID-19 hospitalization (N = 1,887,658), and COVID-19 severe respiratory symptom (N = 1,388,342) were sampled from GWAS database. The MR analysis was primarily based on inverse variance weighted (IVW), supplemented by several other algorithms. In the bidirectional MR analysis, eczema was negatively associated with COVID-19 susceptibility (odds ratio (OR) IVW = 0.92; p = 0.031) and COVID-19 hospitalization (ORIVW = 0.81, p = 0.010); asthma was negatively associated with COVID-19 susceptibility (ORIVW = 0.65, p = 0.005) and COVID-19 severe

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10200717 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature