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A method of estimating the selfing rate using DNA sequence data was recently proposed by Milligan. Unfortunately, a number of errors make interpretation of his results problematic. In the present paper we first show how the usual coalescent process can be adapted to models that include selfing, and then use this result to find moment estimators as well as the likelihood surface for the selfing rate, s, and the scaled mutation rate, theta. We conclude that, regardless of the method used, large sample sizes are necessary to estimate s with any degree of certainty, and that the estimate is always highly sensitive to recent changes in the true value.

More information Original publication

DOI

10.1093/genetics/146.3.1185

Type

Journal article

Publication Date

1997-07-01T00:00:00+00:00

Volume

146

Pages

1185 - 1195

Total pages

10

Addresses

D, e, p, a, r, t, m, e, n, t, , o, f, , E, c, o, l, o, g, y, , a, n, d, , E, v, o, l, u, t, i, o, n, ,, , U, n, i, v, e, r, s, i, t, y, , o, f, , C, h, i, c, a, g, o, ,, , I, l, l, i, n, o, i, s, , 6, 0, 6, 3, 7, -, 1, 5, 7, 3, ,, , U, S, A, ., , m, a, g, n, u, s, @, d, a, r, w, i, n, ., u, c, h, i, c, a, g, o, ., e, d, u

Keywords

DNA, Fertilization, Mathematical Computing, Models, Genetic, Computer Simulation