Literature DB >> 18972753

Gene-environment interaction in complex diseases: asthma as an illustrative case.

Fernando D Martinez1.   

Abstract

Genetic studies of asthma have been plagued by a remarkable difficulty in constantly replicating results in different populations for most of the polymorphisms studied. This was true even when the quality of the study design and statistical power were not an issue. The most plausible explanation for these inconsistent results is that genetic polymorphisms, in most cases, do not directly influence risk for asthma but instead modulate the effect of environmental exposures on the inception and clinical expression of asthma and allergies. A better understanding of the genetics of asthma is thus inseparable from a better understanding of the mechanisms by which environmental factors increase the risk for asthma or protect against it.

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Year:  2008        PMID: 18972753     DOI: 10.1002/9780470696781.ch15

Source DB:  PubMed          Journal:  Novartis Found Symp        ISSN: 1528-2511


  2 in total

Review 1.  Association of vitamin D receptor gene polymorphisms with asthma risk: systematic review and updated meta-analysis of case-control studies.

Authors:  Kalthoum Tizaoui; Anissa Berraies; Besma Hamdi; Wajih Kaabachi; Kamel Hamzaoui; Agnès Hamzaoui
Journal:  Lung       Date:  2014-09-30       Impact factor: 2.584

2.  The Gene, Environment Association Studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions.

Authors:  Marilyn C Cornelis; Arpana Agrawal; John W Cole; Nadia N Hansel; Kathleen C Barnes; Terri H Beaty; Siiri N Bennett; Laura J Bierut; Eric Boerwinkle; Kimberly F Doheny; Bjarke Feenstra; Eleanor Feingold; Myriam Fornage; Christopher A Haiman; Emily L Harris; M Geoffrey Hayes; John A Heit; Frank B Hu; Jae H Kang; Cathy C Laurie; Hua Ling; Teri A Manolio; Mary L Marazita; Rasika A Mathias; Daniel B Mirel; Justin Paschall; Louis R Pasquale; Elizabeth W Pugh; John P Rice; Jenna Udren; Rob M van Dam; Xiaojing Wang; Janey L Wiggs; Kayleen Williams; Kai Yu
Journal:  Genet Epidemiol       Date:  2010-05       Impact factor: 2.135

  2 in total

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