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BACKGROUND: Worldwide, respiratory syncytial virus (RSV) infections are among the most common causes of infant hospitalization. Host genetic factors influencing the risk and severity of RSV infection are not well known. METHODS: We conducted a genome-wide association study (GWAS) to investigate single-nucleotide polymorphisms (SNPs) associated with severe RSV infections using a nested case-control design based on 2 Danish cohorts. We compared SNPs from 1786 children hospitalized with RSV to 45 060 controls without an RSV-coded hospitalization. We performed gene-based testing, tissue enrichment, gene-set enrichment, and a meta-analysis of the 2 cohorts. Finally, an analysis of potential associations between the severity of RSV infection and genetic markers was performed. RESULTS: We did not detect any significant genome-wide associations between SNPs and RSV infection or the severity of RSV. We did find potential loci associated with RSV infections on chromosome 5 in 1 cohort but failed to replicate any signals in both cohorts. CONCLUSIONS: Despite being the largest GWAS of severe RSV infection, we did not detect any genome-wide significant loci. This may be an indication of a lack of power or an absence of signal. Future studies might include mild illness and need to be larger to detect any significant associations.

More information Original publication

DOI

10.1093/infdis/jiad370

Type

Journal article

Publication Date

2024-08-16T00:00:00+00:00

Volume

230

Pages

e333 - e341

Keywords

RSV, genetic association studies, genome-wide association study, respiratory syncytial virus, Humans, Respiratory Syncytial Virus Infections, Genome-Wide Association Study, Infant, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Case-Control Studies, Male, Female, Hospitalization, Child, Preschool, Respiratory Syncytial Virus, Human, Denmark, Infant, Newborn