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Testing structural equation models for twin data using LISREL.

A C Heath, M C Neale, J K Hewitt

    Behavior Genetics
    |January 1, 1989
    PubMed
    Summary
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    This study demonstrates how to apply genetic models to twin data using LISREL software. It covers data preparation and various genetic analyses for understanding heritability and environmental influences.

    Area of Science:

    • Behavioral Genetics
    • Quantitative Genetics
    • Biometrical Genetics

    Background:

    • Twin studies are a powerful tool for dissecting genetic and environmental influences on traits.
    • Statistical modeling is crucial for analyzing complex twin data.
    • LISREL is a widely used software package for structural equation modeling.

    Purpose of the Study:

    • To illustrate the application of simple genetic models to twin data using LISREL.
    • To detail data preparation and assumption checking for twin analyses.
    • To showcase univariate, bivariate, and multivariate genetic models.

    Main Methods:

    • Utilizing the LISREL software package for structural equation modeling.
    • Applying univariate, bivariate, and multivariate genetic models.

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  • Testing models for cohort effects, genotype-environment interactions, and correlations.

    • Main Results:

    • LISREL can effectively fit various genetic models to cross-sectional twin data.
    • The study illustrates how to model complex genetic and environmental influences.
    • Demonstrated the utility of LISREL for analyzing twin data, including interactions and correlations.

    Conclusions:

    • LISREL provides a flexible framework for analyzing twin data with genetic models.
    • The methods discussed allow for the investigation of genetic and environmental contributions to phenotypic variation.
    • This approach facilitates a deeper understanding of the etiology of traits in twin populations.