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A robust test for assortative mating.

E Génin1, C Ober, L Weitkamp

  • 1Department of Integrative Biology, University of California, Berkeley, USA. genin@ccr.jussieu.fr

European Journal of Human Genetics : EJHG
|April 11, 2000
PubMed
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This study introduces a new test for random mating robust to stratification and inbreeding. The test revealed significant negative assortative mating in the Hutterite population, particularly concerning HLA haplotypes.

Area of Science:

  • Population Genetics
  • Human Genetics
  • Immunogenetics

Background:

  • Testing for random mating in human populations is challenging due to ethnic preference and population stratification.
  • High polymorphism in Human Leukocyte Antigen (HLA) loci complicates detecting non-random mating.
  • Ethically homogeneous populations offer a potential solution but may involve confounding inbreeding.

Purpose of the Study:

  • To develop a robust statistical test for random mating at multiallelic loci.
  • To create a method that accounts for stratification and inbreeding in human populations.
  • To investigate non-random mating patterns within the Hutterite population using HLA data.

Main Methods:

  • Developed a novel test for random mating utilizing genotypic information from parents of spouses.

Related Experiment Videos

  • Focused the test on families with allele sharing between parental pairs to enable potential spouse allele sharing.
  • Calculated the statistical power of the test across various scenarios.

    • Main Results:

    • The developed test is robust to stratification and inbreeding.
    • Analysis of Hutterite HLA data revealed significant negative assortative mating.
    • The parental origin of shared haplotypes was crucial in detecting this negative assortative mating.

    Conclusions:

    • The new test provides a reliable method for assessing random mating in human populations.
    • Significant negative assortative mating exists in the Hutterite population concerning HLA alleles.
    • Accounting for parental haplotype origin is essential for accurate non-random mating detection.