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Analysis of Longitudinal Twin Data. Basic Model and Applications to Physical Growth Measures

Published online by Cambridge University Press:  01 August 2014

Ronald S. Wilson
Ronald S. Wilson*
Affiliation:
University of Louisville School of Medicine, Louisville, Kentucky
*
Louisville Twin Study, PO Box 35260, Louisville, KY 40232

Abstract

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A formal model is presented for the analysis of longitudinal twin data, based on the underlying analysis-of-variance model for repeated measures. The model is developed in terms of the expected values for the variance components representing twin concordance, and the derivation is provided for computing within-pair (intraclass) correlations, and for estimating the percent of variance explained by each component. The procedures are illustrated with physical growth data extending from birth to six years, and concordance estimates are obtained for average size and for the pattern of spurts and lags in growth. A test of significance is also described for comparing monozygotic twins with dizygotic twins. The procedures are particularly useful for assessing chronogenetic influences on development, especially whether the episodes of acceleration and lag occur in parallel for genetically matched twins. The model may be employed with psychological data also.

Keywords

Analysis of varianceLongitudinal studiesTwin modelsGrowth in twinsChronogenetics
Type
Research Article
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 28 , Issue 2 , April 1979 , pp. 93 - 105
Copyright
Copyright © The International Society for Twin Studies 1979

References

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