An understanding of the genetic basis of asthma
ABSTRACT Asthma is the most common chronic childhood disease in developed nations and its prevalence has increased in the world over the last 25 years. It is a complex disease with both genetic and environmental risk factors. Asthma is caused by multiple interacting genes, some having a protective effect and others contributing to the disease pathogenesis, with each gene having its own tendency to be influenced by the environment. This article reviews the current state of the genetics of asthma in six categories, viz. epidemiology, management, aetiology, family and twin studies, segregation and linkage studies, and candidate genes and single nucleotide polymorphisms (SNPs).
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Article: ANTI-IgE: An Overview
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ABSTRACT: Abstract Objectives: IL-17A and IL-17F are new pro-inflammatory cytokines implicated in neutrophilic inflammation and thus, involved in the pathogenesis of asthma. We investigated the possible association between asthma and IL-17A -197G/A (rs2275913), IL-17F 7488A/G (rs763780) and IL-17F 7383A/G (rs2397084). Methods: The study was performed in 171 patients with asthma (mean age 9.5years, 105 boys and 66 girls) and 171 healthy individuals matched with patients in age and sex. The PCR-RFLP method was used to detect genes' polymorphisms. Results: IL-17A -197G/A and IL-17F 7383A/G were associated with asthma in children (p=0.008, p=0.001 respectively). No association was found with IL-17F 7488A/G polymorphism. Haplotype analysis revealed a significant association between GA and AG haplotypes and asthma (p=0.004, p=0.02). When patients were stratified according to atopic status, no significant association was detected with any of the three studied variants. Conclusion: Our results suggested that SNPs in IL-17A and IL-17F confer susceptibility to childhood asthma in Tunisia.Journal of Asthma 01/2014; DOI:10.3109/02770903.2013.876647 · 1.83 Impact Factor
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ABSTRACT: The essential route to blood parasitaemia in malaria, erythrocyte invasion is facilitated by activation of the G-protein coupled receptor signaling pathway mediated by the β2-adrenoreceptor as one of the proteins on the surface of red blood cells. The effectiveness of bronchodilators and inhaled corticosteroids in the clinical treatment for asthma patients also depend on polymorphisms in the β2-adrenoreceptor gene (ADRB2). In a case control study, individuals affected by Plasmodium falciparum malaria, asthma and controls were tested for association of six ADRB2 single nucleotide polymorphisms (SNPs) viz. rs1042711, rs1801704, rs1042713, rs1042714, rs1042717 and rs1042718, by direct DNA sequencing. The rs1801704 locus was significantly associated with malaria when compared against controls. The rs1042713 polymorphism was associated with forced expiratory flow between 25-75% of the FVC in asthma patients, pre (p = 0.048) and post (p = 0.038) treatment measurements. Predicted haplotype of the six SNPs computed from genotype data showed T-T-A-C-G-C conferred significant risk of malaria (p = 0.02) whereas T-T-A-C-G-A was associated with risk of asthma (p = 0.02). The haplotype T-T-G-C-G-C was protective against both malaria (p = 0.02) as well as asthma (p = 0.026) and C-C-G-G-G-C was protective uniquely for asthma (p = 0.04). A significant outcome was that all variant alleles at the SNP loci were part of the haplotype conferring resistance to malaria disease and asthma, except rs1042713 and rs1042718 which showed very high frequency in asthma. The pairwise linkage disequilibrium (LD) estimates showed a distinct LD block of all SNP loci (D'=1 or > 0.8) in malaria patients. This characteristic haplotype block was disrupted in the controls due to non-significant pairwise LD of the SNP loci; and a more extensive disruption of the block was noted in asthma patients. The study provides evidence for the proposed role of β2-adrenoreceptor mediated molecular mechanisms in etiology of malaria, as well as asthma disease and drug response, for further clinical and therapeutic application studies.Infection, genetics and evolution: journal of molecular epidemiology and evolutionary genetics in infectious diseases 09/2013; 20. DOI:10.1016/j.meegid.2013.08.026 · 3.26 Impact Factor