How many single-nucleotide polymorphisms (SNPs) must be tested in order to prove susceptibility to bacterial meningitis in children? Analysis of 11 SNPs in seven genes involved in the immune response and their effect on the susceptibility to bacterial meningitis in children

• Published in: Innate immunity (London, England) Vol. 24; no. 3; pp. 163 - 170
• Main Authors: Gowin, Ewelina, Świątek-Kościelna, Bogna, Kałużna, Ewelina, Strauss, Ewa, Wysocki, Jacek, Nowak, Jerzy, Michalak, Michał, Januszkiewicz-Lewandowska, Danuta
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.04.2018; SAGE PUBLICATIONS, INC
• Subjects: Alleles; Bacteria; Child; Children; DNA - genetics; Gene Frequency; Genetic factors; Genetic Predisposition to Disease; Genotype; Haplotypes; Humans; Immune response; Immunity, Innate - genetics; Meningitis; Meningitis, Bacterial - epidemiology; Meningitis, Bacterial - genetics; Meningitis, Bacterial - immunology; Original; Poland - epidemiology; Polymorphism, Single Nucleotide - genetics; Prospective Studies; Single-nucleotide polymorphism; Statistical analysis; Susceptibility; Vaccines; Poland; meningococci; Complement; pneumococci; innate immunity; meningitis
• ISSN: 1753-4259; 1753-4267
• DOI: 10.1177/1753425918762038

The aim of this study is to describe the prevalence of single single-nucleotide polymorphisms (SNPs) as well as their combinations in genes encoding proteins involved in the immune response in children with bacterial meningitis. The prospective study group consisted of 39 children with bacterial meningitis and 49 family members surveyed between 2012 and 2016. Eleven SNPs in seven genes involved in immune response were analysed. The mean number of minor frequency alleles (MAF) of studied SNPs was lowest in the control group and highest in patients with pneumococcal meningitis. We found that carrying ≥6 MAF of studied SNPs was associated with an increased risk of pneumococcal meningitis. The prevalence of risky variants was noted to be higher in patients with pneumococcal meningitis as compared to the control group. In conclusion, genetic factors are a relevant factor in determining the susceptibility to bacterial meningitis. A statistically significant cumulative effect of mutated variants on increasing the risk of bacterial meningitis was detected. Combining all three SNPs in MBL2 improves the prediction of susceptibility to pneumococcal meningitis. Analysis of risky alleles can help indicate people prone to the disease who are ‘gene-immunocompromised’.