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Keywords:

  • asthma;
  • gene–air pollution interactions;
  • multifactor dimensionality reduction;
  • ordered subset information gain analysis

Abstract

There is growing evidence that multiple genes and air pollutants are associated with asthma. By identifying the effect of air pollution on the general population, the effects of air pollution on childhood asthma can be better understood. We conducted the Taiwan Children Health Study (TCHS) to investigate the influence of gene–air pollution interactions on childhood asthma. Complete monitoring data for the ambient air pollutants were collected from Taiwan Environmental Protection Agency air monitoring stations. Our results show a significant two-way gene–air pollution interaction between glutathione S-transferase P (GSTP1) and PM10 on the risk of childhood asthma. Interactions between GSTP1 and different types of air pollutants have a higher information gain than other gene–air pollutant combinations. Our study suggests that interaction between GSTP1 and PM10 is the most influential gene–air pollution interaction model on childhood asthma. The different types of air pollution combined with the GSTP1 gene may alter the susceptibility to childhood asthma. It implies that GSTP1 is an important hub gene in the anti-oxidative pathway that buffers the harmful effects of air pollution.