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Detection of genome similarity as an exploratory tool for mapping complex traits

dc.contributor.authorGuo, Sun-Weien_US
dc.date.accessioned2006-04-28T17:01:37Z
dc.date.available2006-04-28T17:01:37Z
dc.date.issued1995en_US
dc.identifier.citationGuo, Sun-Wei (1995)."Detection of genome similarity as an exploratory tool for mapping complex traits." Genetic Epidemiology 12(6): 877-882. <http://hdl.handle.net/2027.42/38507>en_US
dc.identifier.issn0741-0395en_US
dc.identifier.issn1098-2272en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/38507
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=8788025&dopt=citationen_US
dc.description.abstractFor one- and two-trait-locus models, we show that the lod score based on affected relative pairs or trios is a monotonically increasing function of the genome similarity measured by the proportion of alleles shared identical by descent (IBD) conditional on observed marker data. These results can be generalized to multitrait-locus models. Thus, we can use conditional probability of genes shared IBD as a tool to reveal chromosomal segments that are likely to harbor the genes underlying the complex traits. © 1995 Wiley-Liss, Inc.en_US
dc.format.extent311233 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherGeneticsen_US
dc.titleDetection of genome similarity as an exploratory tool for mapping complex traitsen_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 Biostatistics, University of Michigan, Ann Arbor, Michigan ; Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, MI 48109-2029en_US
dc.identifier.pmid8788025en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/38507/1/1370120658_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/gepi.1370120658en_US
dc.identifier.sourceGenetic Epidemiologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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