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Integrating sibship data for mapping quantitative trait loci.

S Ghosh·T Reich
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Abstract

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.

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AlcoholismChromosomes, Human, Pair 4Computer SimulationEpistasis, GeneticGenetic Predisposition to DiseaseGenotypeHumansLinear ModelsMonte Carlo MethodMulticenter Studies as TopicQuantitative Trait LociSiblingsJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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S Ghosh, T Reich. 2002. Integrating sibship data for mapping quantitative trait loci.. https://doi.org/10.1017/s0003480002001070

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