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

doi:10.1002/(SICI)1098-2272(1998)15:3<263::AID-GEPI5>3.0.CO;2-5

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

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

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.

Original language	English
Pages (from-to)	263-278
Number of pages	16
Journal	Genetic Epidemiology
Volume	15
Issue number	3
DOIs	https://doi.org/10.1002/(SICI)1098-2272(1998)15:3<263::AID-GEPI5>3.0.CO;2-5
State	Published - 1998

Keywords

Epistasis
Quantitative trait linkage
Structural relations

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10.1002/(SICI)1098-2272(1998)15:3<263::AID-GEPI5>3.0.CO;2-5

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keywords = "Epistasis, Quantitative trait linkage, Structural relations",

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T2 - General formulation and application to sibpair data

AU - Todorov, A. A.

AU - Vogler, G. P.

AU - Gu, C.

AU - Province, M. A.

AU - Li, Z.

AU - Heath, A. C.

AU - Rao, D. C.

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

KW - Epistasis

KW - Quantitative trait linkage

KW - Structural relations

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U2 - 10.1002/(SICI)1098-2272(1998)15:3<263::AID-GEPI5>3.0.CO;2-5

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JO - Genetic Epidemiology

JF - Genetic Epidemiology

IS - 3

ER -

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

Abstract

Keywords

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