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The Approximate Variance of Correlation Measures of Linkage Disequilibrium

dc.contributor.authorRoop, Mary
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentDepartment of Mathematics & Statistics - Statistics Divisionen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorJoanna Mills Flemmingen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerJoanna Mills Flemmingen_US
dc.contributor.thesis-readerMichael Dowden_US
dc.contributor.thesis-supervisorDavid Hamiltonen_US
dc.date.accessioned2016-04-28T16:05:37Z
dc.date.available2016-04-28T16:05:37Z
dc.date.defence2016-04-25
dc.date.issued2016-04-28T16:05:37Z
dc.description.abstractA delta method approximation is utilized to produce the variance formula of the correlation measure of Linkage Disequilibrium for four types of genetic data. These data types include gametic and genotypic counts, with different assumptions used to simplify the analysis of the genotypic counts. In each case the variance formula is derived and plotted for several choices of the allele frequencies and for all feasible values of ρ. Simulations are carried out to compare the variance of simulated Linkage Disequilibrium correlation values to the theoretical variance formula. Results indicate that the variance formulae are good approximations for each type of genetic data. Fisher’s transformation improved the approximation in some cases.en_US
dc.identifier.urihttp://hdl.handle.net/10222/71520
dc.language.isoen_USen_US
dc.subjectlinkage disequilibriumen_US
dc.subjectvarianceen_US
dc.subjectlinkage disequilibrium correlation measureen_US
dc.subjectdelta-methoden_US
dc.titleThe Approximate Variance of Correlation Measures of Linkage Disequilibriumen_US

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