Hm. Alexander et al., A BAYESIAN-APPROACH TO THE INFERENCE OF DIPLOID GENOTYPES USING HAPLOID GENOTYPES, Theoretical and Applied Genetics, 91(8), 1995, pp. 1284-1287
Morris and Spieth (1978) described a method of calculating unbiased es
timates of diploid genotype frequencies given information on the genot
ypes of haploid cells derived from diploid individuals. They concluded
that three haploids per diploid would minimize sampling variance of g
enotype frequencies, given a fixed total number of haploids examined.
If the identity of individual diploid genotypes is needed, Morris and
Spieth (1978) stated that more haploids should be collected per diploi
d. We extend this work by showing from a Bayesian perspective that the
probability of misclassification of individuals depends not only on t
he number of haploids sampled, but also on the genetic structure of th
e population since misclassification error will increase as the freque
ncy of heterozygotes increases. Since information on the genetic struc
ture (allele frequencies, inbreeding coefficient) of a population is r
arely known prior to the initiation of an empirical study, the usefuln
ess of our Bayesian approach is in experimental design, by revealing t
he magnitude of possible misclassification errors given a particular c
hoice of number of haploids.