| dc.identifier.uri | http://hdl.handle.net/1951/55471 | |
| dc.identifier.uri | http://hdl.handle.net/11401/72540 | |
| 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 | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Dissertation | |
| dcterms.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. | |
| dcterms.available | 2012-05-15T18:04:08Z | |
| dcterms.available | 2015-04-24T14:52:31Z | |
| dcterms.contributor | Stephen J. Finch | en_US |
| dcterms.contributor | Mendell, Nancy R. | en_US |
| dcterms.contributor | Wei Zhu | en_US |
| dcterms.contributor | Tao Wang. | en_US |
| dcterms.creator | Huang, Chengrui | |
| dcterms.dateAccepted | 2012-05-15T18:04:08Z | |
| dcterms.dateAccepted | 2015-04-24T14:52:31Z | |
| dcterms.dateSubmitted | 2012-05-15T18:04:08Z | |
| dcterms.dateSubmitted | 2015-04-24T14:52:31Z | |
| dcterms.description | Department of Applied Mathematics and Statistics | en_US |
| dcterms.format | Application/PDF | en_US |
| dcterms.format | Monograph | |
| dcterms.identifier | Huang_grad.sunysb_0771E_10139.pdf | en_US |
| dcterms.identifier | http://hdl.handle.net/1951/55471 | |
| dcterms.identifier | http://hdl.handle.net/11401/72540 | |
| dcterms.issued | 2010-08-01 | |
| dcterms.language | en_US | |
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Previous issue date: 1 | en |
| dcterms.provenance | Made available in DSpace on 2015-04-24T14:52:31Z (GMT). No. of bitstreams: 3
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Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | Complex Disease, Endophenotype, Disease Related Trait, Epistasis, Gene-Gene Interation, Quantitative Trait Locus, Regression-Based Linkage, Selected Sampling | |
| dcterms.subject | Statistics -- Biology, Genetics -- Health Sciences, Epidemiology | |
| dcterms.title | Power Studies of Regression-Based Linkage Methods for Selected Sibpairs in the Presence of Epistasis | |
| dcterms.type | Dissertation | |
