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Related Experiment Videos

Quantitative trait transmission disequilibrium test: allowance for missing parents.

D J Schaid1, C M Rowland

  • 1Department of Health Sciences Research, Mayo Clinic/Mayo Foundation, Rochester, MN 55905, USA.

Genetic Epidemiology
|December 22, 1999
PubMed
Summary

This study introduces a new genetic analysis method for quantitative traits when parental data is missing. The approach successfully assessed marker-trait associations in sibship data, though no significant results were found in the tested dataset.

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Area of Science:

  • Genetics
  • Statistical genetics
  • Quantitative trait analysis

Background:

  • Transmission disequilibrium testing (TDT) is a powerful method for identifying the genetic basis of quantitative traits.
  • Existing TDT methods necessitate complete parental marker genotypes, limiting their application.
  • A need exists for TDT methods that can accommodate missing parental genotype data.

Purpose of the Study:

  • To develop and present a novel statistical method for assessing the association between quantitative traits and marker allele transmission disequilibrium.
  • To enable TDT analysis when parental marker genotypes are unavailable, utilizing available sibship data.
  • To incorporate multiple marker loci and covariates within the regression-based framework.

Main Methods:

  • A novel regression-based method was developed to assess quantitative trait association with marker allele transmission disequilibrium.

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  • The method accommodates missing parental marker genotypes by utilizing available sibship marker data.
  • The methodology allows for the inclusion of additional covariates and multiple marker loci.

    • Main Results:

    • The proposed methodology was applied to the Collaborative Study on the Genetics of Alcoholism (COGA) dataset.
    • The analysis aimed to assess the association of quantitative traits (electrophysiological potentials - ERPs) with marker loci on chromosome 7.
    • No statistically significant transmission disequilibrium was identified between the tested quantitative traits and marker loci on chromosome 7.

    Conclusions:

    • The developed regression-based method provides a viable approach for transmission disequilibrium testing with missing parental genotype data.
    • The application to COGA data demonstrated the method's utility in analyzing sibship data for genetic associations.
    • Further studies are warranted to explore potential associations in other datasets or with different genetic markers.