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MAPPING GENES FOR QUANTITATIVE TRAITS USING SELECTED SAMPLES OF SIBLING PAIRS

Szatkiewicz, Jin Peng (2004) MAPPING GENES FOR QUANTITATIVE TRAITS USING SELECTED SAMPLES OF SIBLING PAIRS. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

One of the most important research areas in human genetics is the effort to map genes associated with complex diseases such as cancer, heart disease, and diabetes. The public health relevance of these kinds of work is that gene mapping will bring an understanding of genetic risk and protective factors, and a description of the interaction between environment and genetic variation. In the last ten years there has been a dramatic increase in the number of studies seeking to map genes for quantitative traits. This has caused an explosion of new work on statistical methods for human quantitative trait locus (QTL) mapping. However, little of that work has dealt with selected samples, which are more common than population samples for human studies. This dissertation focuses on sibling pairs and considers the most common types of selected sampling. I surveyed most QTL mapping methods in the literature to evaluate which are appropriate for selected samples, and also developed new statistics for selected samples. Using simulation and analytical approaches, I identified the most powerful statistics for each type of sampling considered. I then compared various sampling designs using the best statistic for each and gave guidelines for choosing appropriate and powerful designs under different scenarios.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Szatkiewicz, Jin Pengjip5@pitt.eduJIP5
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairFeingold, Eleanoreleanor.feingold@hgen.pitt.eduFEINGOLD
Committee MemberTseng, Chien-Cheng (George)ctseng@pitt.eduCTSENG
Committee MemberWeeks, Daniel Edweeks@watson.hgen.pitt.eduWEEKS
Committee MemberWeissfeld, Lisalweis@pitt.eduLWEIS
Date: 22 July 2004
Date Type: Completion
Defense Date: 23 June 2004
Approval Date: 22 July 2004
Submission Date: 21 July 2004
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Graduate School of Public Health > Biostatistics
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: linkage analysis; selected sibling pairs; QTL mapping
Other ID: http://etd.library.pitt.edu/ETD/available/etd-07212004-081131/, etd-07212004-081131
Date Deposited: 10 Nov 2011 19:52
Last Modified: 15 Nov 2016 13:46
URI: http://d-scholarship.pitt.edu/id/eprint/8476

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