Structured Antedependence Models for Functional Mapping of Multiple Longitudinal Traits

Zhao Wei, Hou Wei, Littell Ramon C. and Wu Rongling
Additional contact information
Zhao Wei: University of Florida
Hou Wei: University of Florida
Littell Ramon C.: University of Florida
Wu Rongling: University of Florida

Statistical Applications in Genetics and Molecular Biology, 2005, vol. 4, issue 1, 28

Abstract: In this article, we present a statistical model for mapping quantitative trait loci (QTL) that determine growth trajectories of two correlated traits during ontogenetic development. This model is derived within the maximum likelihood context, incorporated by mathematical aspects of growth processes to model the mean vector and by structured antedependence (SAD) models to approximate time-dependent covariance matrices for longitudinal traits. It provides a quantitative framework for testing the relative importance of two mechanisms, pleiotropy and linkage, in contributing to genetic correlations during ontogeny. This model has been employed to map QTL affecting stem height and diameter growth trajectories in an interspecific hybrid progeny of Populus, leading to the successful discovery of three pleiotropic QTL on different linkage groups. The implications of this model for genetic mapping within a broader context are discussed.

Keywords: Structured antedependence model; EM algorithm; Growth curve; Multivariate analysis; Quantitative trait loci (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (4)

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DOI: 10.2202/1544-6115.1136

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