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Ascertainment in the sequential sampling of pedigrees.

C Cannings, E A Thompson

    Clinical Genetics
    |October 1, 1977
    PubMed
    Summary
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    Analyzing pedigree data for inheritance patterns requires careful sampling. This study shows that including all families and making sampling decisions based on observed data improves accuracy in determining the mode of inheritance.

    Area of Science:

    • Genetics and Genomics
    • Biostatistics
    • Population Genetics

    Background:

    • Inferring the mode of inheritance from pedigree data is a key objective in genetic analysis.
    • Ascertainment bias can arise from analyzing only "interesting" pedigrees, potentially skewing results.
    • Inefficient sampling strategies, such as fixed sample sizes, can lead to uninformative pedigrees and wasted resources.

    Purpose of the Study:

    • To develop a method for accurately computing the likelihood of a mode of inheritance.
    • To address ascertainment bias in pedigree analysis.
    • To optimize pedigree sampling strategies for efficient genetic inference.

    Main Methods:

    • The study proposes a likelihood computation method that incorporates all observed families, regardless of their apparent "interest" or "sporadic" nature.

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  • Sampling decisions are made conditional on the types of individuals observed up to the current point in the pedigree.
  • This approach facilitates the correct computation of the likelihood for the mode of inheritance.

    • Main Results:

    • The proposed method allows for the easy computation of the correct likelihood for the mode of inheritance.
    • Including all families, even those initially appearing uninformative, prevents bias and improves accuracy.
    • Conditional sampling based on observed data enhances the efficiency of pedigree analysis.

    Conclusions:

    • The presented method provides a robust approach to determining the mode of inheritance from pedigree data.
    • This work lays the foundation for further research into optimal sampling rules in pedigree studies.
    • Accurate likelihood computation and unbiased sampling are crucial for reliable genetic inference.