Linked Life Data

14505229

Source:http://linkedlifedata.com/resource/pubmed/id/14505229

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2003-10-30
pubmed:abstractText
Case-control studies provide a powerful approach for detecting disease-susceptibility genes or assessing gene-environment interactions. We investigated the situation in which the gene being studied plays a role in several diseases, and the allele frequency among subjects free of the disease of interest consequently decreases with age as subjects die from other diseases. The logistic model is one approach frequently used for analyzing case-control data, but it cannot accommodate this dependence of genotype and age. Using a log-linear model, we therefore proposed a hierarchical procedure that could be used as a valid method for assessing interactions in such situations. We then applied this procedure to observed data on Alzheimer's disease and the apolipoprotein E gene in Japan. We were able to derive an appropriate inference on whether the interaction was a gene-age interaction or merely a bias due to death from other diseases.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1434-5161
pubmed:author
pubmed:issnType
Print
pubmed:volume
48
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
520-4
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Log-linear models for assessing gene-age interaction and their application to case-control studies of the apolipoprotein E (apoE) gene in Alzheimer's disease.
pubmed:affiliation
Department of Biostatistics, School of Health Sciences and Nursing, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. tanaka@epistat.m.u-tokyo.ac.jp
pubmed:publicationType
Journal Article