Non-normal phenotypes

  • Karl W. Broman
  • Śaunak Sen
Part of the Statistics for Biology and Health book series (SBH)

The methods discussed in Chap. 4 all rely on the assumption that, given QTL genotype, the phenotype follows a normal distribution. This is not the same as to assume that the marginal phenotype distribution is normal—it will follow a mixture of normal distributions. But in the case that no QTL has very large effect, the marginal phenotype distribution would generally be close to normal: unimodal and reasonably symmetric.


Interval Mapping Binary Trait Survival Package Argument Model Interval Mapping Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Biostatistics & Medical InformaticsUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.Dept. Epidemiology & BiostatisticsUniversity of California San FranciscoSan FranciscoUSA

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