Inferences about the distribution of dominance drawn from yeast gene knockout data.

@article{Agrawal2011InferencesAT,
  title={Inferences about the distribution of dominance drawn from yeast gene knockout data.},
  author={Aneil F. Agrawal and Michael C Whitlock},
  journal={Genetics},
  year={2011},
  volume={187 2},
  pages={553-66}
}
Data from several thousand knockout mutations in yeast (Saccharomyces cerevisiae) were used to estimate the distribution of dominance coefficients. We propose a new unbiased likelihood approach to measuring dominance coefficients. On average, deleterious mutations are partially recessive, with a mean dominance coefficient ~0.2. Alleles with large homozygous effects are more likely to be more recessive than are alleles of weaker effect. Our approach allows us to quantify, for the first time, the… CONTINUE READING
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