TY - JOUR
T1 - Structured antedependence models for functional mapping of multiple longitudinal traits
AU - Zhao, Wei
AU - Hou, Wei
AU - Littell, Ramon C.
AU - Wu, Rongling
N1 - Funding Information:
KEYWORDS: Structured antedependence model, EM algorithm, Growth curve, Multivariate analysis, Quantitative trait loci Author Notes: We thank two anonymous referees for their constructive comments on this manuscript. This work is partially supported by grants from the National Science Foundation of China to R. W. (09 95671). The publication of this manuscript is approved as journal series No. R-10586 by the Florida Agricultural Experimental Station.
PY - 2005/11/16
Y1 - 2005/11/16
N2 - 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 a ecting 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.
AB - 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 a ecting 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.
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U2 - 10.2202/1544-6115.1136
DO - 10.2202/1544-6115.1136
M3 - Article
AN - SCOPUS:28044473632
VL - 4
SP - i-26
JO - Statistical Applications in Genetics and Molecular Biology
JF - Statistical Applications in Genetics and Molecular Biology
SN - 1544-6115
IS - 1
M1 - 33
ER -