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

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 phenot...

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Bibliographic Details
Published in:Genetic epidemiology 1998, Vol.15 (3), p.263-278
Main Authors: Todorov, A.A., Vogler, G.P., Gu, C., Province, M.A., Li, Z., Heath, A.C., Rao, D.C.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Chromosome Mapping
Classical genetics, quantitative genetics, hybrids
epistasis
Fundamental and applied biological sciences. Psychology
Genetic Linkage
Genetics of eukaryotes. Biological and molecular evolution
Humans
Matched-Pair Analysis
Methods, theories and miscellaneous
Models, Genetic
Models, Statistical
Multivariate Analysis
Phenotype
quantitative trait linkage
Quantitative Trait, Heritable
Statistics, Nonparametric
structural relations
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Summary: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. Genet. Epidemiol. 15:263–278, 1998. © 1998 Wiley‐Liss, Inc.
ISSN:0741-0395
1098-2272
DOI:10.1002/(SICI)1098-2272(1998)15:3<263::AID-GEPI5>3.0.CO;2-5