Association Study of Genes Associated to Asthma in a Specific Environment, in an Asthma Familial Collection Located in a Rural Area Influenced by Different Industries

Andréanne Morin, Jeffrey R. Brook, Caroline Duchaine and Catherine Laprise
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Andréanne Morin: Université du Québec à Chicoutimi, 555 boulevard de l’Université, Saguenay, QC G7H 2B1, Canada
Jeffrey R. Brook: Air Quality Processes Research Section, Environment Canada Dalla Lana School of Public Health, University of Toronto, 4905 Dufferin St., Toronto, ON M3H 5T4, Canada
Caroline Duchaine: Institut Universitaire de Cardiologie et Pneumologie de Québec, Hôpital Laval 2725, Chemin Sainte-Foy, QC G1V 4G5, Canada
Catherine Laprise: Université du Québec à Chicoutimi, 555 boulevard de l’Université, Saguenay, QC G7H 2B1, Canada

IJERPH, 2012, vol. 9, issue 8, 1-16

Abstract: Eight candidate genes selected in this study were previously associated with gene-environment interactions in asthma in an urban area. These genes were analyzed in a familial collection from a founder and remote population (Saguenay–Lac-Saint-Jean; SLSJ) located in an area with low air levels of ozone but with localized areas of relatively high air pollutant levels, such as sulphur dioxide, when compared to many urban areas. Polymorphisms (SNPs) were extracted from the genome-wide association study (GWAS) performed on the SLSJ familial collection. A transmission disequilibrium test (TDT) was performed using the entire family sample (1,428 individuals in 254 nuclear families). Stratification according to the proximity of aluminium, pulp and paper industries was also analyzed. Two genes were associated with asthma in the entire sample before correction ( CAT and NQO1 ) and one was associated after correction for multiple analyses ( CAT ). Two genes were associated when subjects were stratified according to the proximity of aluminium industries ( CAT and NQO1 ) and one according to the proximity of pulp and paper industries ( GSTP1 ). However, none of them resisted correction for multiple analyses. Given that the spatial pattern of environmental exposures can be complex and inadequately represented by a few stationary monitors and that exposures can also come from sources other than the standard outdoor air pollution (e.g., indoor air, occupation, residential wood smoke), a new approach and new tools are required to measure specific and individual pollutant exposures in order to estimate the real impact of gene-environment interactions on respiratory health.

Keywords: asthma; gene-environment interactions; aluminium industries; pulp and paper industries; air pollution (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2012
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