Clues to quality of journals
Open Access Policy of Helmholtz Association 2016
CC Licencences
Publication Metrics
Home
Deutsch
New EVA Application
Advanced Search
Browse by ...
Publication overview
Statistics (last 5 years)
OA Publications
Submit Publication
Import publication from...
Report missing publication
Contact persons
Help
Text
Endnote (RIS)
BibTeX
Publ. Version/Full Text
Research data
DOI
PMC
 |
|
Open Access Green as soon as Postprint is submitted to ZB.
Genome-wide interaction analysis of air pollution exposure and childhood asthma with functional follow-up.
Am. J. Respir. Crit. Care Med. 195, 1373-1383 (2017)
Publ. Version/Full Text
Research data
DOI
PMC
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
13.204
3.503
66
73
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Genome-wide Interaction Study ; Methylation ; Gene Expression ; Expression Quantitative Trait Locus ; Children; Land-use Regression; Obstructive Pulmonary-disease; Gene-environment Interaction; Tobacco-smoke Exposure; Lung-function; Escape Project; Birth Cohort; Association Scans; Diesel Exhaust; Large-scale
Language
Publication Year
2017
HGF-reported in Year
2017
ISSN (print) / ISBN
1073-449X
e-ISSN
1535-4970
Quellenangaben
Volume: 195,
Issue: 10,
Pages: 1373-1383
Publisher
American Thoracic Society
Publishing Place
New York
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology (EPI)
POF-Topic(s)
30503 - Chronic Diseases of the Lung and Allergies
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-503900-001
WOS ID
WOS:000401501400016
Scopus ID
85019879967
PubMed ID
27901618
Erfassungsdatum
2017-06-14