Introduction: Asthma is a chronic inflammatory disease that has a high prevalence of different degrees of severity. Although many current studies, is not known completely, the genetic environmental interactions in this disease, but it is known that several genes and environmental factors act on the severity and etiology of asthma. In our study, we selected polymorphisms in genes modulators, previously reported as possible active in metabolic pathways that influence asthma: ACE and CD14 (pro-inflammatory properties), ALOX5AP and LTA4H (active in the biological cycle that leads to the production of LTB4), GCLC and GST [M1, P1 and T1] (active cycle of glutathione and oxidative stress-related), IL4 [cytokine that induces differentiation of undifferentiated Th cells (Th0) to Th2 cells], IL4R (receptor that binds IL-4 and IL-13 to regulate the production of IgE antibodies), IL13 (acting in allergic inflammation), IL1R1 (expression by pro-inflammatory stimuli and involved in the function of Th cells), NOS-1 (associated with eosinophilic inflammation), STAT6 (activator transcription and serves on the biological response mediated by IL-4), TGFB1 (limited inflammatory reactions and acts in tissue repair and remodeling), TLR2 and TLR4 (recognize foreign substances and transmit signals to the activation of the immune system). Objective: To characterize patients with atopic asthma and nonatopic of the Pediatric Clinic of HC/UNICAMP second questionnaire of clinical severity, determine the frequency of different polymorphisms and associate both with the aim of understanding the presentation of the disease. Method: Cross-sectional study, prospective. Will be carried out DNA extraction kit for DNA extraction Flexigene Quiagen Kit ®, analysis of polymorphisms in the ACE gene, GSTM1 and T1 by conventional PCR, genotyping for the NOS-1 gene, and analysis of polymorphisms of SNPs for type technique Open Array [OpenArray ® TaqMan ® Genotyping (Applied Biosystems by Life Technologies ®)] of 500 patients with asthma and 500 controls. The classification of severity and classification for control of the same will be held on the basis DBMA (2006) for all patients. Testing will be performed logistic and linear regression for each polymorphism in relation to data obtained from patients. The analysis will be performed by the software "Statistical Package for the Social Sciences" (SPSS) v.17.0, with adjustments for multiple tests by Bonferroni test.
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