Methods of segregation analysis for animal breeding data: a comparison of power

@article{Knott1992MethodsOS,
  title={Methods of segregation analysis for animal breeding data: a comparison of power},
  author={Sara A. Knott and Chris S. Haley and Robin Jeffrey Thompson},
  journal={Heredity},
  year={1992},
  volume={68},
  pages={299-311}
}
Maximum likelihood segregation analysis provides potentially the most powerful method for the detection of segregating major genes. Segregation analysis requires the comparison of the likelihood of the data under the combined model (allowing both polygenic and major gene genetic variation) with the likelihood of the data under the polygenic model (allowing only polygenic genetic variation). In this study three approximations to the combined model likelihood were compared using simulated data… CONTINUE READING

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