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Optimal sampling for pedigree analysis: sequential schemes for sibships

E A Thompson

    Biometrics
    |June 1, 1981
    PubMed
    Summary
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    Sequential sampling methods for genetic trait inheritance studies significantly improve data collection efficiency. These methods enhance statistical information gained per individual, offering practical advantages for medical genetics research.

    Area of Science:

    • * Statistical genetics
    • * Quantitative genetics
    • * Medical genetics

    Background:

    • * Methods for inferring trait inheritance modes from familial data are increasingly utilized.
    • * Ascertainment bias correction is crucial in genetic studies.
    • * Sequential sampling schemes offer potential advantages in data collection.

    Purpose of the Study:

    • * To evaluate the efficiency of sequential sampling procedures for collecting familial data in genetic studies.
    • * To demonstrate that sequential methods can increase the statistical information gained per individual sampled.
    • * To present a practical method for constructing efficient sampling schemes.

    Main Methods:

    • * Analysis of sequential sampling schemes for collecting sibship data.

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  • * Comparison of efficiency based on statistical information gained per individual.
  • * Development of a procedure linking expected log likelihood and entropy for scheme construction.

    • Main Results:

    • * Sequential sampling procedures can significantly increase the efficiency of data collection.
    • * The proposed methods are applicable beyond simple genetic models and sibship sampling.
    • * Numerical examples illustrate practical gains compared to alternative approaches.

    Conclusions:

    • * Sequential sampling is an efficient strategy for collecting familial data in genetic studies.
    • * The developed methods provide a practical framework for optimizing data collection schemes.
    • * These findings have broad implications for medical-genetic research and the study of common diseases.