The Derivation of Joint Distribution and Correlation between Relatives by the Use of Stochastic Matrices

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Abstract
In the past genotypic correlations between relatives have been found either by computing the expected frequencies of each combination of the stated relatives and then computing correlations, or by using the method of path coefficients which provides no information about expected frequencies. By using matrices of transition probabilities, the authors have found a simple method which provides both correlations and expected frequencies. The method is applied to autosomal and sex-linked genes and extended to the case of multiple alleles.

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