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Tests of random mating for a highly polymorphic locus: application to HLA data

K Jin1, T P Speed, G Thomson

  • 1Department of Family Medicine and Clinical Epidemiology, University of Pittsburgh School of Medicine, Pennsylvania 15261, USA.

Biometrics
|September 1, 1995
PubMed
Summary

This study developed new statistical tests to detect non-random mating patterns at highly variable human leukocyte antigen (HLA) loci. The shared allele test proved more effective for small samples, while the corrected allele-table test excelled in large datasets, finding no significant non-random mating in Caucasian couples.

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Area of Science:

  • Immunogenetics
  • Population Genetics
  • Statistical Genetics

Background:

  • Human Leukocyte Antigen (HLA) loci are highly polymorphic, making random mating tests challenging.
  • Previous methods for detecting non-random mating at HLA loci have limitations, especially with small sample sizes.

Purpose of the Study:

  • To develop and evaluate novel statistical tests for assessing random mating at HLA loci.
  • To compare the performance of different tests under various conditions, including small and large sample sizes.

Main Methods:

  • Proposed and simulated several statistical tests, including the single allele test, shared allele test, corrected allele-table test, and generalized Wald test.
  • Evaluated test power and size using simulation studies.
  • Applied the developed methods to a dataset of Caucasian couples.

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Main Results:

  • The shared allele test demonstrated greater power than the single allele test for detecting deviations from random mating.
  • The corrected allele-table test outperformed the generalized Wald test for large population-based datasets.
  • Analysis of Caucasian couple data revealed no conclusive evidence of non-random mating at HLA A, B, and DR loci.

Conclusions:

  • Developed robust statistical methods for testing random mating at polymorphic HLA loci.
  • The shared allele test and corrected allele-table test are valuable tools for population genetic studies.
  • Current Caucasian couple data does not support non-random mating at major HLA loci.