Biostatistics Advance Access originally published online on April 14, 2005
Biostatistics 2005 6(3):420-433; doi:10.1093/biostatistics/kxi019
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A general model for detecting genetic determinants underlying longitudinal traits with unequally spaced measurements and nonstationary covariance structure
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
Department of Pediatrics, University of Florida, Gainesville, FL 32611, USA
Department of Statistics, University of Florida, Gainesville, FL 32611, USA rwu{at}stat.ufl.edu
* To whom correspondence should be addressed.
A mixture model for determining quantitative trait loci (QTL) affecting growth trajectories has been proposed in the literature. In this article, we extend this model to a more general situation in which longitudinal traits for each subject are measured at unequally spaced time intervals, different subjects have different measurement patterns, and the residual correlation within subjects is nonstationary. We derive an EMsimplex hybrid algorithm to estimate the allele frequencies, HardyWeinberg disequilibrium, and linkage disequilibrium between QTL in the original population and parameters contained in the growth equation and in the covariance structure. A worked example of head circumference growth in 145 children is used to validate our extended model. A simulation study is performed to examine the statistical properties of the parameter estimation obtained from this example. Finally, we discuss the implications and extensions of our model for detecting QTL that affect growth trajectories.
Keywords: Longitudinal trait; EM algorithm; Genetic determinant; Mixture model
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