Linked Life Data

20018076

Source:http://linkedlifedata.com/resource/pubmed/id/20018076

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-12-18
pubmed:abstractText
ABSTRACT : For the Framingham Heart Study (FHS) and simulated FHS (FHSsim) data, we tested for gene-gene interaction in quantitative traits employing a longitudinal nonparametric association test (LNPT) and, for comparison, a survival analysis. We report results for the Offspring Cohort by LNPT analysis and on all longitudinal cohorts by survival analysis with cohort effect adjustment. We verified that type I errors were not inflated. We compared the power of both methods to detect in FHSsim data two sets of gene pairs that interact for the trait coronary artery calcification. In FHS, we tested eight gene pairs from a list of candidate genes for interaction effects on body mass index. Both methods found evidence for pairwise non-additive effects of mutations in the genes FTO, PON1, and PFKP on body mass index.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1753-6561
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
3 Suppl 7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S80
pubmed:year
2009
pubmed:articleTitle
Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort.
pubmed:affiliation
Department of Genetic Epidemiology, University Medical Center, University of Goettingen, Humboldtallee 32, D-37073 Goettingen, Germany. dmalzah@gwdg.de.
pubmed:publicationType
Journal Article