Possible association of a distinct combined Glutathione-S-transferase members with allergic asthma patients in Pakistan
Allergic asthma is a diverse chronic respiratory disease characterized by the inflammation of the lower airway disease affecting many people around the world with rising morbidity and mortality. Association between asthma and certain demographic features was studied in relation to genotype from 244...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2017-06-01
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Series: | Genes and Diseases |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352304217300016 |
Summary: | Allergic asthma is a diverse chronic respiratory disease characterized by the inflammation of the lower airway disease affecting many people around the world with rising morbidity and mortality. Association between asthma and certain demographic features was studied in relation to genotype from 244 allergic individuals of local population. Skin prick test was used to confirm asthma. Genetic polymorphism in Glutathione-S-transferases (GSTs) was studied using multiplex PCR based method and IgE level by ELISA. Pollen and dust were the major causative aeroallergens (26%), which were associated to higher IgE levels (P < 0.05). Smoking was found to be significantly associated with asthma in only males (P = 0.004). A low prevalence of null genotype of both GSTM1 and GSTT1 genes was observed in the patients (4.34%) compared to control group (14%). No association of combined GSTM1 and GSTT1 null genotype was found with the asthma in local population. GSTM1+ and GSTT− genotype had higher risk (OR = 1.3681, P = 0.001) for development of asthma. There was a significant association of asthma with combined genotype of GSTM1+ and GSTT− when data was analyzed on gender basis in males (P = 0.006) and highly significant in age range of 26–40 years (P = 0.001). Combined GSTM+ and GSTT− genotype was found to be risk factor for asthma in addition to family history in male patients. However a data with large patient size and different ethnic distribution may reveal the exact etiology. |
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ISSN: | 2352-3042 |