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Advances in Behavioral Genetics Modeling Using Mplus: Applications of Factor Mixture Modeling to Twin Data

Published online by Cambridge University Press:  21 February 2012

Bengt Muthén ,
Tihomir Asparouhov  and
Irene Rebollo
Bengt Muthén*
Affiliation:
Graduate School of Education & Information Studies, University of California, Los Angeles, United States of America. bmuthen@ucla.edu
Tihomir Asparouhov
Affiliation:
Muthén & Muthén, United States of America.
Irene Rebollo
Affiliation:
Department of Biological Psychology, Vrije Universiteit, the Netherlands.
*
*Address for correspondence: Bengt Muthén, Graduate School of Education & Information Studies, University of California, Los Angeles, 90095-1521, USA.

Abstract

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This article discusses new latent variable techniques developed by the authors. As an illustration, a new factor mixture model is applied to the monozygotic–dizygotic twin analysis of binary items measuring alcohol-use disorder. In this model, heritability is simultaneously studied with respect to latent class membership and within-class severity dimensions. Different latent classes of individuals are allowed to have different heritability for the severity dimensions. The factor mixture approach appears to have great potential for the genetic analyses of heterogeneous populations. Generalizations for longitudinal data are also outlined.

Information

Type
Special Section on Advances in Statistical Models and Methods
Information
Twin Research and Human Genetics , Volume 9 , Issue 3 , 01 June 2006 , pp. 313 - 324
Copyright
Copyright © Cambridge University Press 2006