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

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dc.contributor.advisor Mendell, Nancy R. en_US
dc.contributor.author Huang, Chengrui en_US
dc.contributor.other Department of Applied Mathematics and Statistics en_US
dc.date.accessioned 2012-05-15T18:04:08Z
dc.date.accessioned 2015-04-24T14:52:31Z
dc.date.available 2012-05-15T18:04:08Z
dc.date.available 2015-04-24T14:52:31Z
dc.date.issued 2010-05-01
dc.identifier Huang_grad.sunysb_0771E_10139.pdf en_US
dc.identifier.uri http://hdl.handle.net/1951/55471 en_US
dc.identifier.uri http://hdl.handle.net/11401/72540 en_US
dc.description.abstract Although 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.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Statistics -- Biology, Genetics -- Health Sciences, Epidemiology en_US
dc.subject.other Complex Disease, Endophenotype, Disease Related Trait, Epistasis, Gene-Gene Interation, Quantitative Trait Locus, Regression-Based Linkage, Selected Sampling en_US
dc.title Power Studies of Regression-Based Linkage Methods for Selected Sibpairs in the Presence of Epistasis en_US
dc.type Dissertation en_US
dc.mimetype Application/PDF en_US
dc.contributor.committeemember Stephen J. Finch en_US
dc.contributor.committeemember Wei Zhu en_US
dc.contributor.committeemember Tao Wang. en_US

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