EPID-09. ASSOCIATION BETWEEN VIRAL INFECTIONS AND GLIOMA RISK: A TWO-SAMPLE BI-DIRECTIONAL MENDELIAN RANDOMIZATION ANALYSIS

Abstract

Abstract BACKGROUND Glioma is one of the leading causes of brain tumors, but few etiologic factors of primary gliomas were identified. Previous observational research has shown an association between viral infection and glioma risk. Here, we sought to use Mendelian Randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infections and glioma. METHODS We conducted a two-sample bi-directional MR analysis using Genome-Wide Association Study (GWAS) data. Summary statistics data of glioma were collected from the most extensive meta-analysis GWAS involving 12,488 cases and 18,169 controls. Single Nucleotide Polymorphisms (SNPs) associated with the exposures were used as instrumental variables to estimate the causal relationship between glioma and twelve types of viral infections from corresponding GWAS data. In addition, sensitivity analyses were performed. RESULTS After correcting for multiple tests and sensitivity analysis, we detected that genetically predicted VZV infection significantly decreased the risk of lower-grade glioma (LGG) development (OR=0.85, 95% CI: 0.76-0.96, P=0.0066, FDR=0.0396). No causal effects of the other eleven viral infections on glioma and reverse causality were detected. CONCLUSIONS Our research is one of this field's first and most significant studies. We showed robust evidence supporting that genetically predicted VZV infection reduces the risk of LGG. The findings from our research are a big step forward in understanding the etiology of glioma.