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In constructing Table 1 I used the quantities
and
, but I didn't tell you where they came
from. Obviously, the idea should be to pick values of
and
that give additive genotypic values that are reasonably
close to the genotypic values. A good way to do that is to minimize
the squared deviation between the two, weighted by the frequency of
the genotypes. So our first big assumption is that genotypes are in
Hardy-Weinberg proportions.10
The objective is to find values for
and
that
minimize:
To do this we take the partial derivative of
with respect to both
and
, set the resulting pair of equations equal
to zero, and solve for
and
.11
Thus,
if and only if
Adding the equations in (1) we obtain (after a little bit
of rearrangement)
![\begin{displaymath}[p^2x_{11} + 2pqx_{12} + q^2x_{22}]-
[p^2(2\alpha_1) + 2pq(\alpha_1 + \alpha_2) + q^2(2\alpha_2)] = 0 \quad .
\end{displaymath}](img36.png) |
(2) |
Now the first term in square brackets is just the mean phenotype in
the population,
. Thus, we can rewrite
equation (2) as:
Now divide the first equation in (1) by
and the
second by
.
Thus,
Similarly,
is the additive effect of allele
, and
is
the additive effect of allele
. If we use these expressions, the
additive genotypic values are as close to the genotypic values as
possible, given the particular allele freequencies in the
population.12
Next: Components of the genetic
Up: Partitioning the phenotypic variance
Previous: Partitioning the phenotypic variance
Kent Holsinger
2008-08-27