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Estimation of individual genetic and environmental profiles in longitudinal designs (1991)
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BibTeX
@MISC{Boomsma91estimationof,
author = {Dorret I. Boomsma and Peter C. M. Molenaar and Conor V. Dolan},
title = {Estimation of individual genetic and environmental profiles in longitudinal designs},
year = {1991}
}
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Abstract
Parameter estimates obtained in the genetic analysis of longitudinal data can be used to construct individual genetic and environmental profiles across time. Such individual profiles enable the attribution of individual phenotypic change to changes in the underlying genetic or environmental processes and may lead to practical applications in genetic counseling and epidemiology. Simulations show that individual estimates of factor scores can be reliably obtained. Decomposition of univariate, and to a lesser extent of bivariate, phenotypic time series may yield estimates of independent individual G(t) and E(t), however, that are intercorrelated. The magnitude of these correlations depends somewhat on the autocorrelation structure of the underlying series, but to obtain completely independent estimates of genetic and environmental individual profiles, at least three measured indicators are needed at each point in time. KEY WORDS: longitudinal genetic analysis; environmental profiles; genetic profiles; factor scores; Kalman filter.
Keyphrases
environmental profile longitudinal design factor score individual profile independent estimate longitudinal genetic analysis individual phenotypic change longitudinal data genetic counseling genetic profile underlying series parameter estimate environmental individual profile environmental process autocorrelation structure practical application phenotypic time series genetic analysis individual estimate kalman filter independent individual key word
