Literature DB >> 18926561

Deciphering gene-environment interactions through mouse models of allergic asthma.

Saffron A G Willis-Owen1, William Valdar.   

Abstract

Identifying the genetic origins of human complex traits is a time-consuming and labor-intensive process that has as yet only yielded a relatively small number of confirmed susceptibility genes and an even smaller number of confirmed susceptibility alleles. One potential explanation for these difficulties might be the presence of unrecognized environmental factors that moderate the contribution of genetic loci to disease and vary between populations. These factors need not necessarily be limited to environmental parameters of intuitive importance (eg, cigarette smoke or allergen exposure) but also can include more cryptic sources of variation associated with the specific study environment (eg, study apparatus or ambient temperature). Analysis of these interactions in human subjects, although a gold standard, is time-consuming and constrained by ethical and technical issues. Investigations in mouse models, on the other hand, represent a simple and flexible system in which to explore gene-environment interaction effects. In this review we discuss the utility of mouse models in the detection of gene-environment interaction effects and consider the limitations on their application.

Entities:  

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Year:  2008        PMID: 18926561     DOI: 10.1016/j.jaci.2008.09.016

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  8 in total

Review 1.  Gene-environment interactions in human disease: nuisance or opportunity?

Authors:  Carole Ober; Donata Vercelli
Journal:  Trends Genet       Date:  2011-01-07       Impact factor: 11.639

Review 2.  Challenges and opportunities in genome-wide environmental interaction (GWEI) studies.

Authors:  Hugues Aschard; Sharon Lutz; Bärbel Maus; Eric J Duell; Tasha E Fingerlin; Nilanjan Chatterjee; Peter Kraft; Kristel Van Steen
Journal:  Hum Genet       Date:  2012-07-04       Impact factor: 4.132

3.  Choice of mouse strain influences the outcome in a mouse model of chemical-induced asthma.

Authors:  Vanessa De Vooght; Jeroen A J Vanoirbeek; Katrien Luyts; Steven Haenen; Benoit Nemery; Peter H M Hoet
Journal:  PLoS One       Date:  2010-09-07       Impact factor: 3.240

Review 4.  Re-defining the unique roles for eosinophils in allergic respiratory inflammation.

Authors:  E A Jacobsen; N A Lee; J J Lee
Journal:  Clin Exp Allergy       Date:  2014-09       Impact factor: 5.018

5.  Eosinophil activities modulate the immune/inflammatory character of allergic respiratory responses in mice.

Authors:  E A Jacobsen; W E Lesuer; L Willetts; K R Zellner; K Mazzolini; N Antonios; B Beck; C Protheroe; S I Ochkur; D Colbert; P Lacy; R Moqbel; J Appleton; N A Lee; J J Lee
Journal:  Allergy       Date:  2013-11-25       Impact factor: 13.146

6.  Functional variant in the autophagy-related 5 gene promotor is associated with childhood asthma.

Authors:  Lisa J Martin; Jayanta Gupta; Soma S S K Jyothula; Melinda Butsch Kovacic; Jocelyn M Biagini Myers; Tia L Patterson; Mark B Ericksen; Hua He; Aaron M Gibson; Tesfaye M Baye; Sushil Amirisetty; Anna M Tsoras; Youbao Sha; N Tony Eissa; Gurjit K Khurana Hershey
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

7.  On lung function and interactions using genome-wide data.

Authors:  Erik Melén; Matteo Bottai
Journal:  PLoS Genet       Date:  2012-12-20       Impact factor: 5.917

8.  Influences of large sets of environmental exposures on immune responses in healthy adult men.

Authors:  Buqing Yi; Marina Rykova; Gundula Jäger; Matthias Feuerecker; Marion Hörl; Sandra Matzel; Sergey Ponomarev; Galina Vassilieva; Igor Nichiporuk; Alexander Choukèr
Journal:  Sci Rep       Date:  2015-08-26       Impact factor: 4.379

  8 in total

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