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Related Experiment Videos

Twin concordance for a binary trait. I. Statistical models illustrated with data on drinking status.

M C Hannah, J L Hopper, J D Mathews

    Acta Geneticae Medicae Et Gemellologiae
    |January 1, 1983
    PubMed
    Summary

    This study introduces a flexible maximum likelihood method for analyzing twin data on binary traits. Results suggest higher concordance for drinking status in monozygous twins compared to dizygous twins.

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    Area of Science:

    • Biostatistics
    • Behavioral Genetics
    • Twin Studies

    Background:

    • Analyzing binary response data in twins presents statistical challenges.
    • Existing methods often rely on untestable distributional assumptions.
    • Efficiently utilizing twin data for genetic and environmental analyses is crucial.

    Purpose of the Study:

    • To introduce a flexible maximum likelihood method for binary twin data analysis.
    • To incorporate explanatory variables like age and sex into twin analyses.
    • To overcome the limitations of distributional assumptions in liability models.

    Main Methods:

    • Developed a novel statistical approach based on maximum likelihood theory.
    • Applied the method to analyze binary drinking status in adult twins.

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  • Accounted for potential biases in twin ascertainment, specifically for male dizygous twins.
  • Main Results:

    • The proposed method offers flexibility and efficient data utilization.
    • Preliminary analysis of drinking status in adult twins was performed.
    • Monozygous twins exhibited greater concordance for drinking status than dizygous twins, despite ascertainment biases.

    Conclusions:

    • The flexible maximum likelihood method provides a robust framework for twin data analysis.
    • Findings support a genetic component influencing drinking status concordance in twins.
    • Further research with refined ascertainment strategies is warranted.