Hi Folks,
A colleague has data on a complex pedigree (of dogs,
with much inbreeding) and is studying possible genetic
models for heritability of deafness.
Apparently because of the complexity of the pedigree,
standard software (SAGE) gets its right foot firmly
locked behind its left ear. It occurs to me that an
MCMC approach would be appropriate here, and I am
wondering whether BUGS would be useful.
The pedigree data would consist (in effect) of a
"Parentage matrix" P (row i col j = 1 if i is parent
of j) with a "Sex vector" S where (say) Si = 0/1
for Male/Female. There will of course be individuals
with no listed parents.
The "outcome" data would consist of a vector Y which,
in the first instance, could simply have Yi 1/0 (deafness
present/absent in i), though deafness could be more finely
graded according to a severity score
(e.g. Absent/Mild/Moderate/Severe/Total).
There would also be covariates -- breed, age, etc.
Does anyone have experience of using BUGS in this kind of
application, who would be willing to comment on the fruits
of experience?
(I confess to being insufficiently expert in both BUGS and
genetics to be able to try putting it into effect from scratch
by myself.)
Best wishes to all,
Ted.
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E-Mail: (Ted Harding) <[log in to unmask]>
Fax-to-email: +44 (0)870 167 1972
Date: 21-Nov-02 Time: 13:27:05
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