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ABSTRACT: Background
Several observational studies reported on the association between particulate matter ≤2.5μm (PM2.5) and its absorbance with coronavirus (COVID-19), but none use Mendelian randomisation (MR). To strengthen the knowledge on causality, we examined the association of PM2.5 and its absorbance with COVID-19 risk using MR.Methods
We selected genome-wide association study (GWAS) integration data from the UK Biobank and IEU Open GWAS Project for two-sample MR analysis. We used inverse variance weighted (IVW) and its multiple random effects and fixed effects alternatives to generally predict the association of PM2.5 and its absorbance with COVID-19, and six methods (MR Egger, weighted median, simple mode, weighted mode, maximum-likelihood a
SUBMITTER: Liu C
PROVIDER: S-EPMC10346132 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature