The concept of co-dominance includes additive models. If you are dealing
with a quantitative measure of the phenotype, then if the heterozygote has
a mean level which is the average of the homozygote means you have an
additive model. The model in this case is also codominant since a
codominant model is one in which the heterozygote mean differs from both
the homozygote means (and is usually also restricted to fall between them
siince if the heterozygote mean is outside the homozygotes means we
usually call the model overdominant).
************************************************************************
Ellen M. Wijsman EXPRESS MAIL ADDRESS ONLY:
Research Professor 1914 N 34th St., suite 209
Div. of Medical Genetics and Seattle, WA 98103
Dept. Biostatistics (Note: do not mention the
BOX 357720, University of Washington Univ. of Washington, and
Seattle, WA 98195-7720 USE THIS ADDRESS ONLY FOR
phone: (206) 543-8987 EXPRESS MAIL !!!)
fax: (206) 616-1973 email: wijsman at u.washington.edu
*************************************************************************
On 27 Jan 1998, Arthur Osterop Ph.D. wrote:
> Dear netters,
>> I am studying the occurrence of a gene allele polymorphism (A- and
> B-allele) in relation to hypertrophy. I have analysed the allele
> frequencies in relation to the hypertrophy data in three models.
> - a recessive model for the B-allele: AA+AB vs BB
> - a dominant model for the B-allele: AA vs AB+BB
> both models with a Student's t test, and
> - a co-dominant model: AA vs AB vs BB
> with ANOVA analysis.
>> Now a reviewer of a journal in wich I want to publish my data states
> that my co-dominant model actually is an assumption of additive
> inheritance.
>> Can somebody tell me what is meant by additive inheritance and in what
> way does it differ from a co-dominant phenotype of alleles. As far as I
> understand co-dominant means that the phenotype of the heterozygote
> differs from both the homozygotes.
>> A question concerning the statistics is whether or not one needs to
> perform a Bonferroni correction, in this case of a factor three as three
> different analysis have been performed on the 'same' data.
>> I am looking forward for your responses as I have never been in
> population genetics before let be statistics,
>> With best regards,
>> Arthur Osterop, PhD
> Erasmus University Rotterdam
>osterop at tch.fgg.eur.nl>>
