Abstract:Background: Genetics may partially explain observed heterogeneity in associations between traffic-related air pollution and incident asthma.Objective: Our aim was to investigate the impact of gene variants associated with oxidative stress and inflammation on associations between air pollution and incident childhood asthma.Methods: Traffic-related air pollution, asthma, wheeze, gene variant, and potential confounder data were pooled across six birth cohorts. Parents reported physician-diagnosed asthma and wheez… Show more
“…Because of these differences, we did not perform meta-analysis of the interaction bs, but we did present interaction bs and P values for each data set. Previous G 3 E interaction analyses using candidate gene approaches suggested that genes related to antioxidative stress systems, inflammation, and innate immunity (e.g., GSTP1, TNF and TLR2/4) are important effect modifiers (12,13). These genes were not among the top hits in our GWIS, but this did not exclude true interaction effects for key SNPs as previously reported.…”
Section: Discussionmentioning
confidence: 59%
“…Oxidative stress and inflammation represent pathogenic pathways involved in asthma development (3). Interactions between air pollution and allele variants in genes related to antioxidative stress systems, inflammation, and innate immunity have been reported in relation to the incidence of asthma (12,13). Such gene-environment (G 3 E) interactions may partially explain the inconsistencies between air pollution and the incidence of asthma.…”
Section: At a Glance Commentarymentioning
confidence: 99%
“…In the discovery phase, meta-analysis was performed based on genome-wide interaction study (GWIS) results from three traffic pollution, asthma, genetics consortium (13) (17), the Netherlands (children with asthma: 155; children without asthma: 173). Detailed cohort descriptions are provided in the online data supplement and elsewhere (13).…”
“…Because of these differences, we did not perform meta-analysis of the interaction bs, but we did present interaction bs and P values for each data set. Previous G 3 E interaction analyses using candidate gene approaches suggested that genes related to antioxidative stress systems, inflammation, and innate immunity (e.g., GSTP1, TNF and TLR2/4) are important effect modifiers (12,13). These genes were not among the top hits in our GWIS, but this did not exclude true interaction effects for key SNPs as previously reported.…”
Section: Discussionmentioning
confidence: 59%
“…Oxidative stress and inflammation represent pathogenic pathways involved in asthma development (3). Interactions between air pollution and allele variants in genes related to antioxidative stress systems, inflammation, and innate immunity have been reported in relation to the incidence of asthma (12,13). Such gene-environment (G 3 E) interactions may partially explain the inconsistencies between air pollution and the incidence of asthma.…”
Section: At a Glance Commentarymentioning
confidence: 99%
“…In the discovery phase, meta-analysis was performed based on genome-wide interaction study (GWIS) results from three traffic pollution, asthma, genetics consortium (13) (17), the Netherlands (children with asthma: 155; children without asthma: 173). Detailed cohort descriptions are provided in the online data supplement and elsewhere (13).…”
“…Figure 1 shows the flow of papers. A total of 42 studies met our inclusion criteria [31,32,33,34,36,37,38,39,40,41,42,43,44,45,46,47,48,50,51,52,58,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87] (Table 1). …”
Section: Resultsmentioning
confidence: 99%
“…Where necessary, data items were missing from the main papers, data was extracted from the supplementary materials [31,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52], and the associated publications [53,54,55,56,57,58,59,60,61,62,63,64,65,66]. Data extraction was undertaken manually by one researcher (Haneen Khreis).…”
Background: Current levels of traffic-related air pollution (TRAP) are associated with the development of childhood asthma, although some inconsistencies and heterogeneity remain. An important part of the uncertainty in studies of TRAP-associated asthma originates from uncertainties in the TRAP exposure assessment and assignment methods. In this work, we aim to systematically review the exposure assessment methods used in the epidemiology of TRAP and childhood asthma, highlight recent advances, remaining research gaps and make suggestions for further research. Methods: We systematically reviewed epidemiological studies published up until 8 September 2016 and available in Embase, Ovid MEDLINE (R), and “Transport database”. We included studies which examined the association between children’s exposure to TRAP metrics and their risk of “asthma” incidence or lifetime prevalence, from birth to the age of 18 years old. Results: We found 42 studies which examined the associations between TRAP and subsequent childhood asthma incidence or lifetime prevalence, published since 1999. Land-use regression modelling was the most commonly used method and nitrogen dioxide (NO2) was the most commonly used pollutant in the exposure assessments. Most studies estimated TRAP exposure at the residential address and only a few considered the participants’ mobility. TRAP exposure was mostly assessed at the birth year and only a few studies considered different and/or multiple exposure time windows. We recommend that further work is needed including e.g., the use of new exposure metrics such as the composition of particulate matter, oxidative potential and ultra-fine particles, improved modelling e.g., by combining different exposure assessment models, including mobility of the participants, and systematically investigating different exposure time windows. Conclusions: Although our previous meta-analysis found statistically significant associations for various TRAP exposures and subsequent childhood asthma, further refinement of the exposure assessment may improve the risk estimates, and shed light on critical exposure time windows, putative agents, underlying mechanisms and drivers of heterogeneity.
In asthma and allergy genetics, a trend towards a few main topics developed over the last 2 years. First, a number of studies have been published recently which focus on overlapping and/or very specific phenotypes: within the allergy spectrum but also reaching beyond, looking for common genetic traits shared between different diseases or disease entities. Secondly, an urgently needed focus has been put on asthma and allergy genetics in populations genetically different from European ancestry. This acknowledges that the majority of new asthma patients today are not white and asthma is a truly worldwide disease. In epigenetics, recent years have seen several large-scale epigenome-wide association studies (EWAS) being published and a further focus was on the interaction between the environment and epigenetic signatures. And finally, the major trends in current asthma and allergy genetics and epigenetics comes from the field of pharmacogenetics, where it is necessary to understand the susceptibility for and mechanisms of current asthma and allergy therapies while at the same time, we need to have scientific answers to the recent availability of novel drugs that hold the promise for a more individualized therapy.
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