title: I feel you-monitoring environmental variables related to asthma in an integrated real-time frame.
abstract: The study of asthma and other complex diseases has proven to be a "moving target" for researchers due to its complex aetiology, difficulty in definition, and immeasurable environmental effects. A large number of studies regarding the contribution of both genetic and environmental factors often result in contradictory results, in part due to the highly heterogeneous nature of asthma. Recent literature has focused on the epigenetic signatures of asthma caused by environmental factors, highlighting the importance of environment. However, unlike the genetic techniques, environmental assessment still lacks accuracy. A plausible solution for this problem would be an individual-based environmental exposure assessment, relying on new technologies such as personal real-time environmental sensors. This could prove to enable the assessment of the whole environmental exposure-or exposome-matching in terms of precision the genome that is emphasized in most studies so far. In addition, the measurement of the whole array of biological molecules, in response to the environment action, could help understand the context of the disease. The current perspective comprises a beyond-genetics integrated vision of omics technology coupled with real-time environmental measures targeting to enhance our comprehension of the disease genesis.
authors.affiliation: Human Genetics Laboratory, University of Madeira, 9000-390, Funchal, Portugal. anabela.berenguer@oulu.fi.|Department of Computer Science and Engineering, University of Oulu, PL 4500, 90014, Oulu, Finland. anabela.berenguer@oulu.fi.
authors.forename: Anabela Gonçalves
authors.initials: AG
authors.lastname: Berenguer
mesh_terms: D001249:Asthma / Q000175:diagnosis* / Q000235:genetics; D004784:Environmental Monitoring; D044127:Epigenesis, Genetic; D006801:Humans; D013997:Time Factors