EGEA3 : the 20-year follow-up
A third survey consisting in a self-completed questionnaire has been initiated in September 2011. The questions relate to the respiratory health, the allergic status, and environmental factors that may affect health. Data collection ends in May 2013. 1557 participants had filled in the questionnaire (response rate = 81.2%).
Latest scientific findings
A recent study by B Jacquemin and co-authors suggests that the choice of geocoding technique (method to assign geographic coordinates with latitude and longitude to addresses) may influence estimated health effects of air pollution exposure and suggests a role of air pollution on lung function. (Read more- Jacquemin B, et al. Impact of geocoding methods on associations between long-term exposure to urban air pollution and lung function. Environ Health Perspect 2013 juil 3)
A study by A Boudier and co-authors, using a longitudinal cluster-based method, identified 7 asthma phenotypes that were highly similar when defined 10 years apart, and adresses, for the first time, the individuals' phenotypic transition over time across these phenotypes. (Read more - Boudier A, et al. 10 year-follow up of cluster-based asthma phenotypes in adults. A pooled analysis of three cohorts. Am J Respi Crit Care Med 2013 Jun 18)
A study conducted by O Dumas and co-authors confirms that the healthy worker effect has an important impact in risk assessment in work-related asthma studies and shows that maginal structural models are useful to eliminate such imbalances in exposure due to disease-driven selection. (Read more - Dumas O, et al. Work-related asthma. A causal analysis controlling the healthy worker effect. Occup Environ Med 2013 Jun 12)
Rava M and co-authors proposed a gene selection strategy, based on both bioinformatic resources and biological expertics, to investigate gene-environment interactions at the genome-wide level. (Read more - Rava M, et al. Selection of genes for gene-environment interation studies: a candidate pathway-based strategy unsing asthma as an example. Environ Health 2013; 12:56)
EGEA was part of an international genome-wide association analysis conducted by Melen E et al that suggests that DENND1B variants, previously found to be associated with asthma in chidlren, could also be associated with body mass index in asthmatic chidlren. (Read more - Melen E, et al. Genome-wide association study of body mass index in 23000 individuals with and without asthma. Clin Exp allergy 2013;43:463-74).