title: Transformation of sib-pair values for the Haseman-Elston method.
abstract: The squared sib-pair phenotype difference (SQD) has been used as a dependent variable in the Haseman-Elston (H-E) regression quantitative-trait locus (QTL) linkage method, but it has been shown that the SQD does not make full use of linkage information. In this study, we examine the efficiency of SQD in H-E regression compared to other proposed functions of the sib-pair phenotypes. A new function of sib-pair phenotypes, the product of pair values corrected with family mean (PCF), is shown to have desirable properties in many realistic situations. Consistent results were obtained using a combination of large-sample analytic approximations, simulation, and analyses of quantitative-trait data from Genetic Analysis Workshop 10. The advantages of PCF are further improved in the presence of family-specific effects arising from environmental factors or when additional QTLs influence the trait. All of the phenotype functions are incorporated in our new, freely available linkage-mapping program MULTIGENE 1.0 for the PC environment.
authors: Division of Human Cancer Genetics, The Ohio State University, Columbus, OH 43210, USA.
authors: D
authors: D
authors: Wang
authors: S
authors: S
authors: Lin
authors: R
authors: R
authors: Cheng
authors: X
authors: X
authors: Gao
authors: F A
authors: FA
authors: Wright
mesh_terms: D002874:Chromosome Mapping / Q000379:methods* / Q000706:statistics & numerical data*; D002877:Chromosomes, Human / Q000235:genetics; D003198:Computer Simulation; D003201:Computers; D004777:Environment; D005191:Family Characteristics; D008040:Genetic Linkage / Q000235:genetics*; D005838:Genotype; D006801:Humans; D008126:Lod Score; D016555:Matched-Pair Analysis; D009679:Nuclear Family; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis; D018401:Sample Size; D012984:Software