Literature DB >> 10854486

Detection of interaction involving identified genes: available study designs.

A M Goldstein1, N Andrieu.   

Abstract

Advances in molecular genetic techniques have led to an increased ability to examine gene-environment interactions. Studies to detect gene-environment interactions are motivated by different situations, including 1) most identified cancer genes having associated lifetime risks less than 100% (i.e., incomplete penetrance), 2) hereditary factors that control the metabolism of carcinogens that may modulate risk of disease as hypothesized in pharmacogenetics, and 3) inconsistent associations across studies between a cancer and a suspected risk factor. The above situations and others have led to increased study of interaction between genetic and environmental factors. Less studied so far, but with increased potential for the future, is interaction between identified genes. Gene-gene interaction studies would also be motivated by the situations described above. Approaches to detect gene-environment and gene-gene interactions are reviewed. Available risk estimates, required types of subjects, and feasibility of the proposed study designs are discussed; efficiency and power for interaction assessment are summarized where available. In general, most designs allow for estimating risk associated with a genetic factor, environmental factor, and interaction effect. Although power and efficiency for detecting interactions have been assessed for specific situations in some of the methods, further investigations are needed to define the efficiency spectra of each design.

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Year:  1999        PMID: 10854486     DOI: 10.1093/oxfordjournals.jncimonographs.a024226

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  5 in total

1.  Genetic analysis of the IL8 gene polymorphism (rs4073) in generalized aggressive periodontitis.

Authors:  Denise Carleto Andia; Ariadne Letra; Renato Corrêa Viana Casarin; Marcio Zaffalon Casati; Sergio Roberto Peres Line; Ana Paula de Souza
Journal:  Arch Oral Biol       Date:  2012-06-20       Impact factor: 2.633

2.  Detecting gene-environment interactions using a combined case-only and case-control approach.

Authors:  Dalin Li; David V Conti
Journal:  Am J Epidemiol       Date:  2008-12-13       Impact factor: 4.897

3.  Polymorphisms in genes related to activation or detoxification of carcinogens might interact with smoking to increase renal cancer risk: results from The Netherlands Cohort Study on diet and cancer.

Authors:  Kim M Smits; Leo J Schouten; Boukje A C van Dijk; Kjeld van Houwelingen; Christina A Hulsbergen-van de Kaa; Lambertus A L M Kiemeney; R Alexandra Goldbohm; Egbert Oosterwijk; Piet A van den Brandt
Journal:  World J Urol       Date:  2007-11-03       Impact factor: 4.226

4.  A comparison of case-control and case-only designs to investigate gene-environment interactions using breast cancer data.

Authors:  Jafar Hassanzadeh; Rahmatollah Moradzadeh; Abdolreza Rajaee Fard; Sedigheh Tahmasebi; Parvaneh Golmohammadi
Journal:  Iran J Med Sci       Date:  2012-06

Review 5.  The contribution of inherited genotype to breast cancer.

Authors:  Timothy R Rebbeck
Journal:  Breast Cancer Res       Date:  2002-04-04       Impact factor: 6.466

  5 in total

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