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Isonymy in a Bhatia leut

V Bhalla, K Bhatia

    Annals of Human Genetics
    |May 1, 1976
    PubMed
    Summary

    This study examines isonymy and surname exogamy in a North Indian Hindu community. A modified Crow and Mange formula is proposed for estimating inbreeding coefficients in populations with clan exogamy.

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    Area of Science:

    • Population Genetics
    • Anthropology
    • Human Evolution

    Background:

    • Isonymy, the practice of having the same surname, is a key indicator in population genetics studies.
    • Surname exogamy, the practice of marrying outside one's own surname group, is prevalent in many communities, including North Indian Hindu populations.
    • Existing methods for estimating inbreeding coefficients, such as the Crow and Mange formula, may require adaptation for populations with specific social structures like clan exogamy.

    Purpose of the Study:

    • To investigate the patterns of isonymy and surname exogamy in a North Indian Hindu community.
    • To propose a modification to the Crow and Mange formula for estimating the inbreeding coefficient (FIS) in populations practicing clan exogamy.
    • To compare FIS values derived from different estimation methods.

    Main Methods:

    • Analysis of isonymic data from a North Indian Hindu community.
    • Modification of the Crow and Mange formula to account for clan exogamy.
    • Estimation and comparison of FIS values using the original and modified formulas.

    Main Results:

    • The study identified patterns of surname exogamy within the studied community.
    • A modified formula was developed to accurately estimate FIS in populations with clan exogamy.
    • Comparison of FIS values highlighted the impact of clan exogamy on inbreeding estimations.

    Conclusions:

    • The findings underscore the importance of considering social structures like clan exogamy when applying population genetic models.
    • The modified formula provides a more accurate estimation of inbreeding coefficients in such populations.
    • This research contributes to a better understanding of genetic structure and mating patterns in endogamous populations.

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