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Extracting meaning and direction from twin data.

I I Gottesman, G Carey

    Psychiatric Developments
    |January 1, 1983
    PubMed
    Summary

    The twin method in psychiatric research can be improved. Analyzing concordance rates with population risk estimates reveals liability correlations for complex genetic disorders.

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    Area of Science:

    • Psychiatric genetics
    • Behavioral genetics
    • Quantitative genetics

    Background:

    • The twin method is a key tool for studying psychiatric disorders.
    • Current analyses often underutilize available data.
    • Probandwise concordance rates alone provide incomplete insights.

    Purpose of the Study:

    • To review the utility of the twin method in psychiatric research.
    • To demonstrate a more informative analytical approach.
    • To enhance the interpretation of twin study data.

    Main Methods:

    • Review of existing twin study methodologies in psychiatry.
    • Analysis of probandwise concordance rates.
    • Integration of population risk estimates.
    • Conversion of concordance rates to liability correlation coefficients.

    Main Results:

    • Reporting only probandwise concordance rates leads to loss of information.
    • Incorporating population risk estimates allows for a more comprehensive analysis.
    • Liability correlation coefficients provide a robust measure for genetic models.

    Conclusions:

    • The twin method offers valuable insights into psychiatric disorders.
    • A refined analytical approach using liability correlations is recommended.
    • This method aligns with the theoretical framework of multifactorial-threshold-polygenic disorders.

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