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An application of the patient rule-induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart disease

dc.contributor.authorDyson, Gregen_US
dc.contributor.authorFrikke-Schmidt, Ruthen_US
dc.contributor.authorNordestgaard, Børge G.en_US
dc.contributor.authorTybjæ;rg-Hansen, Anneen_US
dc.contributor.authorSing, Charles F.en_US
dc.date.accessioned2007-09-20T19:05:03Z
dc.date.available2008-09-08T14:25:14Zen_US
dc.date.issued2007-09en_US
dc.identifier.citationDyson, Greg; Frikke-Schmidt, Ruth; Nordestgaard, BØrge G.; TybjÆ;rg-Hansen, Anne; Sing, Charles F. (2007)."An application of the patient rule-induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart disease." Genetic Epidemiology 31(6): 515-527. <http://hdl.handle.net/2027.42/56137>en_US
dc.identifier.issn0741-0395en_US
dc.identifier.issn1098-2272en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/56137
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17436307&dopt=citationen_US
dc.description.abstractDifferent combinations of genetic and environmental risk factors are known to contribute to the complex etiology of ischemic heart disease (IHD) in different subsets of individuals. We employed the Patient Rule-Induction Method (PRIM) to select the combination of risk factors and risk factor values that identified each of 16 mutually exclusive partitions of individuals having significantly different levels of risk of IHD. PRIM balances two competing objectives: (1) finding partitions where the risk of IHD is high and (2) maximizing the number of IHD cases explained by the partitions. A sequential PRIM analysis was applied to data on the incidence of IHD collected over 8 years for a sample of 5,455 unrelated individuals from the Copenhagen City Heart Study (CCHS) to assess the added value of variation in two candidate susceptibility genes beyond the traditional, lipid and body mass index risk factors for IHD. An independent sample of 362 unrelated individuals also from the city of Copenhagen was used to test the model obtained for each of the hypothesized partitions. Genet. Epidemiol . 2007. © 2007 Wiley-Liss, Inc.en_US
dc.format.extent286477 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherGeneticsen_US
dc.titleAn application of the patient rule-induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart diseaseen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan ; Department of Human Genetics, University of Michigan, 1241 E. Catherine Street, 5928 Buhl Building, Ann Arbor, MI 48109-0618, USAen_US
dc.contributor.affiliationotherDepartment of Clinical Biochemistry, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmarken_US
dc.contributor.affiliationotherDepartment of Clinical Biochemistry, Herlev University Hospital, Herlev, Denmark ; The Copenhagen City Heart Study, Bispebjerg University Hospital, Copenhagen, Denmarken_US
dc.contributor.affiliationotherDepartment of Clinical Biochemistry, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark ; The Copenhagen City Heart Study, Bispebjerg University Hospital, Copenhagen, Denmarken_US
dc.identifier.pmid17436307en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/56137/1/20225_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/gepi.20225en_US
dc.identifier.sourceGenetic Epidemiologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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