Testing Causal Hypotheses in Multivariate Linkage Analysis
of Quantitative Traits: General Formulation and Application
to Sibpair Data
Todorov AA; Vogler GP; Gu C; Province MA; Li Z; Heath AC; Rao DC
Division of Biostatistics, Washington University School of Medicine, St.
Louis, Missouri 63108, USA. todorov@wupsych1.wustl.edu
Genetic Epidemiology, 15(3):263-278 1998
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.
Variance component linkage analysis