Power Studies of Regression-Based Linkage Methods for Selected Sibpairs in the Presence of Epistasis

dc.contributor.advisorMendell, Nancy R.en_US
dc.contributor.authorHuang, Chengruien_US
dc.contributor.otherDepartment of Applied Mathematics and Statisticsen_US
dc.date.accessioned2012-05-15T18:04:08Z
dc.date.available2012-05-15T18:04:08Z
dc.date.issued1-May-10en_US
dc.date.submittedMay-10en_US
dc.description.abstractAlthough the ubiquitousness of epistasis, or gene-gene interactions, is widely acknowledged, many commonly used quantitative-trait-locus (QTL) linkage analysis methods have been developed without explicitly modeling any dominance or epistasis effects. The power of regression-based linkage methods was investigated in this paper under a range of two-locus models of various degrees and types of epistasis. A quantitative trait is studied usually because of its association with some complex disease of interest. Therefore we introduced selection through disease affected probands, which has commonly been used in qualitative trait studies, into our QTL analysis, and compared it to random selection and selection based on individuals having abnormal quantitative trait values.en_US
dc.description.advisorAdvisor(s): Nancy R. Mendell. Committee Member(s): Stephen J. Finch; Wei Zhu; Tao Wang.en_US
dc.description.sponsorshipStony Brook University Libraries. SBU Graduate School in Department of Applied Mathematics and Statistics. Lawrence Martin (Dean of Graduate School).en_US
dc.formatElectronic Resourceen_US
dc.identifierHuang_grad.sunysb_0771E_10139.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1951/55471
dc.language.isoen_USen_US
dc.mimetypeApplication/PDFen_US
dc.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.en_US
dc.subject.lcshStatistics -- Biology, Genetics -- Health Sciences, Epidemiologyen_US
dc.subject.otherComplex Disease, Endophenotype, Disease Related Trait, Epistasis, Gene-Gene Interation, Quantitative Trait Locus, Regression-Based Linkage, Selected Samplingen_US
dc.titlePower Studies of Regression-Based Linkage Methods for Selected Sibpairs in the Presence of Epistasisen_US
dc.typeDissertationen_US
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