ArticleEnvironmental health : a global access science source2013
Selection of genes for gene-environment interaction studies: a candidate pathway-based strategy using asthma as an example.
Article in Environmental health : a global access science source, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Identifying a developmental transition in honey bees using gene expression data.PLoS computational biology · 2023Article
- Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions.American journal of epidemiology · 2017Article
- Genes Interacting with Occupational Exposures to Low Molecular Weight Agents and Irritants on Adult-Onset Asthma in Three European Studies.Environmental health perspectives · 2017Article
- Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases.Scientific reports · 2016Article
- Observational
- Susceptibility Factors Relevant for the Association Between Long-Term Air Pollution Exposure and Incident Asthma.Current environmental health reports · 2016Review
- Have recent investigations into remission from childhood asthma helped in understanding the pathogenesis of this disease?Medical science monitor : international medical journal of experimental and clinical research · 2015Review
Corrections and comments
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Authors and funding
6 authors.
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Abstract
backgroundThe identification of gene by environment (GxE) interactions has emerged as a challenging but essential task to fully understand the complex mechanism underlying multifactorial diseases. Until now, GxE interactions have been investigated by candidate approaches examining a small number of genes, or agnostically at the genome wide level. PRESENTATION OF THE HYPOTHESIS: In this paper, we propose a gene selection strategy for investigation of gene-environment interactions. This strategy integrates the information on biological processes shared by genes, the canonical pathways to which they belong and the biological knowledge related to the environment in the gene selection process. It relies on both bioinformatics resources and biological expertise. TESTING THE HYPOTHESIS: We illustrate our strategy by considering asthma, tobacco smoke as the environmental exposure, and genes sharing the same biological function of "response to oxidative stress". Our filtering strategy leads to a list of 28 pathways involving 182 genes for further GxE investigation. IMPLICATIONS OF THE HYPOTHESIS: By integrating the environment into the gene selection process, we expect that our strategy will improve the ability to identify the joint effects and interactions of environmental and genetic factors in disease.
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