4.7 Article

Genome-Wide Interaction Analysis of Air Pollution Exposure and Childhood Asthma with Functional Follow-up

Journal

Publisher

AMER THORACIC SOC
DOI: 10.1164/rccm.201605-1026OC

Keywords

genome-wide interaction study; methylation; gene expression; expression quantitative trait locus; children

Funding

  1. Swedish Research Council
  2. Swedish Heart-Lung Foundation
  3. Freemason Child House Foundation in Stockholm
  4. Centre for Allergy Research
  5. Stockholm County Council (ALF)
  6. Strategic Research Program (SFO) in Epidemiology at Karolinska Institutet
  7. MeDALL (Mechanisms of the Development of Allergy) a collaborative project conducted within the European Union [261357]
  8. Swedish Foundation for Strategic Research [SSF RBc08-0027]
  9. Swedish Research Council Formas
  10. Swedish Environment Protection Agency
  11. Munich Center of Health Sciences (MCHEALTH) as part of the Ludwig-Maximilians University Munich LMU innovative
  12. Dutch Asthma Foundation [3.4.01.26, 3.2.06.022, 3.4.09.081, 3.2.10.085CO]
  13. ZON-MW Netherlands Organization for Health Research and Development [912-03-031]
  14. Stichting Astmabestrijding
  15. Ministry of the Environment
  16. European Commission [018996, LSH-2004-1.2.5-1]
  17. National Institute of Environmental Health Sciences [011627, 07048, 022719]
  18. NHLBI [087680]
  19. Canadian Institutes of Health Research
  20. British Columbia Lung Association
  21. Manitoba Medical Service Foundation
  22. Chaire de pneumologie de la Fondation JD Begin de l'Universite Laval
  23. Fondation de l'Institut universitaire de cardiologie et de pneumologie de Quebec
  24. Respiratory Health Network of the FRQS
  25. Canadian Institutes of Health Research [MOP-123369]
  26. Cancer Research Society
  27. Read for the Cure
  28. Fonds de recherche Quebec - Sante (FRQS)
  29. [264357]

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Rationale: The evidence supporting an association between traffic related air pollution exposure and incident childhood asthma is inconsistent and may depend on genetic factors. Objectives: To identify gene-environment interaction effects on childhood asthma using genome-wide single-nucleotide polymorphism (SNP) data and air pollution exposure. Identified loci were further analyzed at epigenetic and transcriptomic levels. Methods: We used land use regression models to estimate individual air pollution exposure (represented by outdoor NO2 levels) at the birth address and performed a genome-wide interaction study for doctors' diagnoses of asthma up to 8 years in three European birth cohorts (n = 1,534) with look-up for interaction in two separate North American cohorts, CHS (Children's Health Study) and CAPPS/SAGE (Canadian Asthma Primary Prevention Study/Study of Asthma, Genetics and Environment) (n = 1,602 and 186 subjects, respectively). We assessed expression quantitative trait locus effects in human lung specimens and blood, as well as associations among, air pollution exposure, methylation, and transcriptomic patterns. Measurements and Main Results: In the European cohorts, 186 SNPs had an interaction P < 1 x 10(-4) and a look-up evaluation of these disclosed 8 SNPs in 4 loci, with an interaction P < 0.05 in the large CHS study, but not in CAPPS/SAGE. Three SNPs within adenylate cyclase 2 (ADCY2) showed the same direction of the interaction effect and were found to influence ADCY2 gene expression in peripheral blood (P = 4.50 x 10(-4)). One other SNP with P < 0.05 for interaction in CHS, rs686237, strongly influenced UDP-Gal:betaGlcNAc beta-1,4-galactosyltransferase, polypeptide 5 (B4GALT5) expression in lung tissue (P =1.18 x 10(-17)). Air pollution exposure was associated with differential discs, large homolog 2 (DLG2) methylation and expression. Conclusions: Our results indicated that gene-environment interactions are important for asthma development and provided supportive evidence for interaction with air pollution for ADCY2, B4GALT5, and DLG2.

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