Association between candidate genes and lung function growth in Chinese asthmatic children
T F Leung1, I H S Chan, G W K Wong
1Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong. tfleung@cuhk.edu.hk
Summary
This study investigated genetic and environmental factors influencing lung function growth in Chinese children with asthma. Results indicate that STAT6 gene variations and interactions among atopy-related genes significantly impact lung function changes over time.
Area of Science:
- Pediatric Pulmonology
- Genetic Epidemiology
- Asthma Research
Background:
- Asthma pathogenesis involves complex gene-environment interactions.
- Lung function decline in asthmatic children is well-documented in Caucasian populations.
- Previous research identified gene interactions affecting asthma and IgE, but not longitudinal lung function growth.
Purpose of the Study:
- To examine longitudinal spirometric changes in Chinese asthmatic children.
- To investigate the influence of six candidate genes and environmental factors on lung function growth.
- To identify gene-gene and gene-environment interactions affecting lung function trajectory.
Main Methods:
- Prospective study of 131 Chinese children with asthma over 4.5 years.
- Spirometry performed at baseline and study completion.
- Genotyping via restriction fragment length polymorphism and multifactor dimensionality reduction (MDR) for interaction analysis.
Main Results:
- Significant increases in forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) observed annually, with larger increases in males.
- A significant association found between annual FEV1 change and STAT6 gene polymorphism (C1570T).
- MDR identified a 3-locus interaction (IL13, ADRB2, STAT6) significantly influencing FVC change.
Conclusions:
- STAT6 gene variations may play a role in modulating lung function growth in pediatric asthma.
- Interactions between atopy-related genetic polymorphisms significantly affect changes in FVC.
- Findings highlight the genetic complexity of lung function trajectories in childhood asthma.
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