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Age correlation between mates and average consanguinity in age-structured human populations.

P W Leslie

    American Journal of Human Genetics
    |September 1, 1983
    PubMed
    Summary

    Population geneticists must account for age structure when calculating expected consanguinity. Ignoring age differences between mates can distort findings on mating behavior and genetic consequences.

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    Human biology·1993

    Area of Science:

    • Population Genetics
    • Mathematical Biology
    • Human Demography

    Background:

    • Population geneticists compare observed consanguinity to random mating expectations.
    • Discrete generation models often ignore age structure, creating a discrepancy with real-world mating processes.
    • The impact of this discrepancy on genetic consequence studies is under-examined.

    Purpose of the Study:

    • To extend Hajnal's age-structured population model.
    • To incorporate lineal descent relationships and calculate consanguinity without age correlation.
    • To analyze the effect of age correlation between mates on average consanguinity.

    Main Methods:

    • Extended Hajnal's model for age-structured populations.
    • Included lineal descent and common ancestry definitions.

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  • Calculated consanguinity frequencies with and without age correlation.

    • Main Results:

    • The effect of age correlation on consanguinity varies.
    • Compensation between increased and decreased consanguineous matings can minimize the overall effect.
    • Age correlation's impact is sensitive to mate age differences and age variances at parentage.

    Conclusions:

    • Age structure significantly influences expected consanguinity levels.
    • Age correlation between mates can substantially alter average consanguinity under certain conditions.
    • Accurate population genetic studies require incorporating age structure and mate age differences.