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Testing causal hypotheses in multivariate linkage analysis of quantitative traits: general formulation and application to sibpair data.

A A Todorov·G P Vogler·C Gu·M A Province·Z Li·A C Heath·D C Rao
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Abstract

We provide a general framework for the development of model-free methods for the linkage analysis of multivariate phenotypic data. It is possible within this framework to test both for linkage of a set of phenotypes to one or more markers and for the presence of structural relations among the phenotypes themselves. This report presents the general model, paying special attention to the assumptions that enter its formulation, and outlines the estimation procedures that may be used.

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Chromosome MappingGenetic LinkageHumansMatched-Pair AnalysisModels, GeneticModels, StatisticalMultivariate AnalysisPhenotypeQuantitative Trait, HeritableStatistics, NonparametricJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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A A Todorov, G P Vogler, C Gu, M A Province, Z Li, A C Heath, D C Rao. 1998. Testing causal hypotheses in multivariate linkage analysis of quantitative traits: general formulation and application to sibpair data.. https://doi.org/10.1002/(sici)1098-2272(1998)15%3A3%3C263%3A%3Aaid-gepi5%3E3.0.co%3B2-5

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