BACKGROUND: Gene-environment interactions have been investigated for diseases such as asthma, chronic obstructive pulmonary disease, cancer etc. but acute disease like bronchitis has rarely been studied. We investigated interactions between air pollution (polycyclic aromatic hydrocarbons (PAH) and particulate matter <2.5 μm (PM2.5)) and single nucleotide polymorphisms (SNP) in EPHX1, IL10, STAT4 and XPC genes in relation to bronchitis in children aged 0-2 years. METHODS: A stratified random sample of 1133 Czech children, born between 1994 and 1998 in two districts, were followed since birth, of which 626 were genotyped. Pediatrician-diagnosed bronchitis episodes were obtained from the medical records. Central-site monitors measured air pollution exposure. We used multivariable logistic regression and estimated coefficients using generalized estimating equations. Interaction was assessed between pollutants and genes and associations in genotype-specific strata were presented. False discovery rate was used to adjust for multiple comparisons. RESULTS: There were 803 episodes of bronchitis with an incidence rate of 56 per 1000 child-months. We found significant gene-environment interaction between PAH and four SNPs (EPHX1, (rs2854461), STAT4 (rs16833215), XPC (rs2228001 and rs2733532)), which became non-significant after adjusting for multiple comparisons. PM2.5 interactions with two XPC SNPs (rs2228001 and rs2733532) remained significant after accounting for multiple comparisons and those with CC alleles had a more than doubling of odds, OR=2.65 (95% CI: 1.91, 3.69) and 2.72 (95% CI: 1.95, 3.78), respectively, per 25 μg/m(3) increase in exposure. CONCLUSION: The findings suggest that the DNA repair gene XPC may play an important role in the air pollution-induced pathogenesis of the inflammatory disease bronchitis.

Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles California United States

Department of Public Health Sciences University of California Davis United States

Institute of Experimental Medicine Academy of Sciences of the Czech Republic 14220 Prague Czech Republic

Citace poskytuje Crossref.org

Airborne Benzo[a]Pyrene may contribute to divergent Pheno-Endotypes in children

Modeling Unobserved Heterogeneity in Susceptibility to Ambient Benzo[a]pyrene Concentration among Children with Allergic Asthma Using an Unsupervised Learning Algorithm