Numerical comparisons of two formulations of the logistic regressive models with the mixed model in segregation analysis of discrete traits.

@article{Demenais1992NumericalCO,
  title={Numerical comparisons of two formulations of the logistic regressive models with the mixed model in segregation analysis of discrete traits.},
  author={F. Demenais and Amelia Laing and George E. Bonney},
  journal={Genetic epidemiology},
  year={1992},
  volume={9 6},
  pages={419-35}
}
Segregation analysis of discrete traits can be conducted by the classical mixed model and the recently introduced regressive models. The mixed model assumes an underlying liability to the disease, to which a major gene, a multifactorial component, and random environment contribute independently. Affected persons have a liability exceeding a threshold. The regressive logistic models assume that the logarithm of the odds of being affected is a linear function of major genotype effects, the… CONTINUE READING