Integrating sibship data for mapping quantitative trait loci.
Sibship methods have been shown to be more powerful than traditional sib-pair methods in mapping quantative trait loci. We propose a statistical procedure which integrates data on sibships into a so-called 'contrast function', a natural extension of the classical squared sib-pair trait difference proposed by Haseman & Elston (1972). We also develop a combined mean and contrast function which provides more information on linkage compared to the contrast function. Our method is extended to multiple, epistatically interacting trait loci. Monte-Carlo simulations are included to compare the efficiencies of the proposed procedures with some currently used methods. An application of our proposed method is presented using data on alcohol dependence.
Ghosh
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Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110-1093, USA. saurabh@silver.wustl.edu
Reich
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T
D000437:Alcoholism / Q000235:genetics; D002894:Chromosomes, Human, Pair 4 / Q000235:genetics; D003198:Computer Simulation; D004843:Epistasis, Genetic; D020022:Genetic Predisposition to Disease; D005838:Genotype; D006801:Humans; D016014:Linear Models; D009010:Monte Carlo Method; D015337:Multicenter Studies as Topic; D040641:Quantitative Trait Loci / Q000235:genetics*; D035781:Siblings