Linked Life Data

9354924

Source:http://linkedlifedata.com/resource/pubmed/id/9354924

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
142
pubmed:dateCreated
1997-12-9
pubmed:abstractText
Metabolic susceptibility genes are important determinants of individual susceptibility to the effects of environmental carcinogens. These genes follow the form of 'type 2' gene-environment interaction, whereby the polymorphic genetic risk factor functions only in the presence of an environmental exposure. Two different effects of carcinogen dose have been observed for these genes. Sometimes, increasing dose leads to a decreasing interaction, so that cases with the genetic risk factor have lower exposures than those cases without it. Other examples of a direct dose effect, whereby increasing exposure leads to increased interaction, have also been described. We propose a model based on multiple logistic regression to assess the nature of the dose effect in this type of gene-environment interaction. This model allows for distinction between these two dose effects, and other effects such as protective or non-interactive effects of environmental and genetic risk factors.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0300-5038
pubmed:author
pubmed:issnType
Print
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
251-64
pubmed:dateRevised
2005-11-16
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Gene--environment interactions in the application of biomarkers of cancer susceptibility in epidemiology.
pubmed:affiliation
Nelson Institute of Environmental Medicine, New York University Medical Center, NY, USA.
pubmed:publicationType
Journal Article, Review