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Published on: December 10, 2013
A Genome-Wide Association Study of Respiratory Syncytial Virus Infection Severity in Infants
Mari Johnson1,2, Irina Chelysheva1,2, Deniz Öner3
1Oxford Vaccine Group, Department of Paediatrics, University of Oxford.
Insights
Genetic factors may influence respiratory syncytial virus (RSV) severity in infants. This genome-wide study identified candidate genes, like RAB27A, linked to severe RSV infections, offering insights for future research.
Area of Science:
- Genetics
- Infectious Diseases
- Pediatrics
Background:
- Respiratory syncytial virus (RSV) is a major global cause of infant illness and death.
- While most children get RSV, genetic factors influencing disease severity are not fully understood.
Purpose of the Study:
- To investigate genetic risk factors associated with severe RSV infections in infants.
- To conduct a genome-wide association study (GWAS) to identify genetic variations linked to RSV severity.
Main Methods:
- Assessed RSV severity using the ReSVinet scale in 251 infants (1 week to 1 year old).
- Collected genotyping data from European sites (RESCEU Consortium).
- Employed linear regression to analyze genotype impact on RSV severity and gene expression (microarray).
Main Results:
- No single nucleotide polymorphisms (SNPs) met genome-wide significance (P < 5 × 10-8).
- Identified 816 candidate SNPs (P < 1 × 10-4), highlighting genes like LSP1 and RAB27A involved in neutrophil trafficking and cytoskeletal functions.
- SNPs in the RAB27A locus significantly altered gene expression (FDR P < .05).
Conclusions:
- Findings suggest potential genetic mechanisms underlying severe RSV infection.
- Provides biologically relevant information for future research into RSV pathogenesis.
Background:
Respiratory syncytial virus (RSV) is a significant cause of infant morbidity and mortality worldwide. Most children experience at least one 1 RSV infection by the age of two 2 years, but not all develop severe disease. However, the understanding of genetic risk factors for severe RSV is incomplete. Consequently, we conducted a genome-wide association study of RSV severity.
Methods:
Disease severity was assessed by the ReSVinet scale, in a cohort of 251 infants aged 1 week to 1 year. Genotyping data were collected from multiple European study sites as part of the RESCEU Consortium. Linear regression models were used to assess the impact of genotype on RSV severity and gene expression as measured by microarray.
Results:
While no SNPs reached the genome-wide statistical significance threshold (P < 5 × 10-8), we identified 816 candidate SNPs with a P-value of <1 × 10-4. Functional annotation of candidate SNPs highlighted genes relevant to neutrophil trafficking and cytoskeletal functions, including LSP1 and RAB27A. Moreover, SNPs within the RAB27A locus significantly altered gene expression (false discovery rate, FDR P < .05).
Conclusions:
These findings may provide insights into genetic mechanisms driving severe RSV infection, offering biologically relevant information for future investigations.
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