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An unbiased systems genetics approach to mapping genetic loci modulating susceptibility to severe streptococcal sepsis.

ABSTRACT: Striking individual differences in severity of group A streptococcal (GAS) sepsis have been noted, even among patients infected with the same bacterial strain. We had provided evidence that HLA class II allelic variation contributes significantly to differences in systemic disease severity by modulating host responses to streptococcal superantigens. Inasmuch as the bacteria produce additional virulence factors that participate in the pathogenesis of this complex disease, we sought to identify additional gene networks modulating GAS sepsis. Accordingly, we applied a systems genetics approach using a panel of advanced recombinant inbred mice. By analyzing disease phenotypes in the context of mice genotypes we identified a highly significant quantitative trait locus (QTL) on Chromosome 2 between 22 and 34 Mb that strongly predicts disease severity, accounting for 25%-30% of variance. This QTL harbors several polymorphic genes known to regulate immune responses to bacterial infections. We evaluated candidate genes within this QTL using multiple parameters that included linkage, gene ontology, variation in gene expression, cocitation networks, and biological relevance, and identified interleukin1 alpha and prostaglandin E synthases pathways as key networks involved in modulating GAS sepsis severity. The association of GAS sepsis with multiple pathways underscores the complexity of traits modulating GAS sepsis and provides a powerful approach for analyzing interactive traits affecting outcomes of other infectious diseases.

SUBMITTER: Abdeltawab NF

PROVIDER: S-EPMC2277464 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature

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An unbiased systems genetics approach to mapping genetic loci modulating susceptibility to severe streptococcal sepsis.

Abdeltawab Nourtan F NF Aziz Ramy K RK Kansal Rita R Rowe Sarah L SL Su Yin Y Gardner Lidia L Brannen Charity C Nooh Mohammed M MM Attia Ramy R RR Abdelsamed Hossam A HA Taylor William L WL Lu Lu L Williams Robert W RW Kotb Malak M

PLoS pathogens 20080418 4

Striking individual differences in severity of group A streptococcal (GAS) sepsis have been noted, even among patients infected with the same bacterial strain. We had provided evidence that HLA class II allelic variation contributes significantly to differences in systemic disease severity by modulating host responses to streptococcal superantigens. Inasmuch as the bacteria produce additional virulence factors that participate in the pathogenesis of this complex disease, we sought to identify ad ...[more]

PMID: 18421376

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Project description:Juvenile idiopathic arthritis (JIA) is an autoimmune disease that is characterized by persistent chronic arthritis and affected by genetic and environmental factors. Different genetic variations have been reported as risk factors for JIA. However, given that many results could not be replicated in individuals of different ancestral origin, it was assumed that heterogeneous genetic factors are involved in this disease. In the present study, we analyzed three single nucleotide polymorphisms (SNPs), namely PTPRC (rs10919563), TYK2 (rs34536443) and PRKCQ (rs4750316), which were found to be associated with JIA in previous studies. We also investigated whether the intron?4 located 27?bp VNTR of endothelial nitric oxide synthase (eNOS), is associated with risk for JIA in Greece. In total, 125 JIA patients and 221 healthy controls from northern Greece were included in the study as a sample set. Samples were then analyzed, and genotyped for the three SNPs with TaqMan primer?probe sets, using a Real?Time PCR platform (ViiA™ 7 Real?Time PCR system), while eNOS VNTR polymorphism was genotyped by PCR. Statistical analysis was performed using a GraphPad Prism statistical program. The ?2 test was used to examine differences of genotype and allele frequencies between patients and controls. Statistical significance was defined by using the two?tailed P<0.05 test. Bioinformatics analysis was conducted by using BlastP, Pymol, Maestro and Desmond. In the case?control association study performed, eNOS only was found to be associated with JIA. Genotype a/a and allele 'a' were found in a higher frequency in JIA patients than in controls [p<0.0001, odds ratio (OR)=0.15, 95% confidence intervals (CI): 0.065?0.37; and p<0.0001, OR=0.34, 95% CI: 0.23?0.49, respectively]. No associations with JIA were detected for TYK2, PTPRC or PRKCQ. Aiming to investigate the structural consequences and the structure/function relationships accompanying the Pro1104 to Ala (rs34536443) mutation on TYK2 protein, bioinformatics analysis was performed. Combining three?dimensional (3D)?modeling and molecular dynamics simulations we identified changes in structural flexibility, affecting the functionality of the kinase domain of TYK2. To the best of our knowledge, this is the first time that eNOS VNTR polymorphism is associated with susceptibility to JIA, suggesting a differential role of allele 'a' in various complex diseases. The current data emphasize the importance of comparative studies in populations of a different ancestral background towards the clarification of the role of specific alleles in the development of JIA.

Dataset Information

An unbiased systems genetics approach to mapping genetic loci modulating susceptibility to severe streptococcal sepsis.

Publications

An unbiased systems genetics approach to mapping genetic loci modulating susceptibility to severe streptococcal sepsis.

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