Generating Consistent Genotypic Configurations
for Multi-Allelic Loci and Large Complex Pedigrees
Simon C Heath
Human Heredity,
48(1), 1-11 (1998)
Abstract
Markov chain Monte Carlo techniques have been applied to many
different genetic analysis problems. Gibbs sampling in particular
has been widely used because of its simplicity and because it can
be extended to arbitrarily complex pedigrees and genetic models
(albeit with modifications for multi-allelic loci). Gibbs sampling
requires an initial genotypic configuration, consistent with observed
data, the generation of which is not trivial with large complex
pedigrees and multi-allelic loci. A method to generate feasible
genotype configurations in these circumstances using a combination
of peeling and genotype elimination is described. The method is
illustrated using two complex multi-generation pedigrees, one real
and one simulated, each partially typed for one highly polymorphic
marker locus.
