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Title: Statistical Study of Permutation Test for Quantitative Trait LOCI Detection
Keywords: QTL, MIM model, Permutation test, Mixed model
Issue Date: 8-Sep-2009
Citation: CHEN YUMING (2009-09-08). Statistical Study of Permutation Test for Quantitative Trait LOCI Detection. ScholarBank@NUS Repository.
Abstract: We study in this paper the statistical model and the searching procedure for mapping multiple quantitative trait loci(QTL) in experimental organisms. Based on the multiple interval mapping(MIM) model and the generalized likelihood ratio statistics, the permutation generalized likelihood ratio test (PGLRT) is proposed to test the relationship between markers and quantitative trait values. Theoretical analysis shows that this PGLR test is exactly level alpha test. Through studying the power function of PGLRT, it suggest a certainly relation among the power, the sample size and coefficient of variation(c.v.). Furthermore, a new multiple searching procedure is suggested to recursively detect QTLs and estimate the effect of QTLs at the same time. The real Radiata pine linkage map data are used to validate the searching procedure programme, the Positive Discovery Rate(FDR) and False Discovery Rate(FDR) are listed as numerical study.
Appears in Collections:Ph.D Theses (Open)

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