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In population genetics, Ewens's sampling formula describes the probabilities associated with counts of how many different alleles are observed a given number of times in the sample.

Definition

Ewens's sampling formula, introduced by Warren Ewens, states that under certain conditions (specified below), if a random sample of n gametes is taken from a population and classified according to the gene at a particular locus then the probability that there are a₁ alleles represented once in the sample, and a₂ alleles represented twice, and so on, is

$\operatorname {Pr} (a_{1},\dots ,a_{n};\theta )={n! \over \theta (\theta +1)\cdots (\theta +n-1)}\prod _{j=1}^{n}{\theta ^{a_{j}} \over j^{a_{j}}a_{j}!},$

for some positive number θ representing the population mutation rate, whenever $a_{1},\ldots ,a_{n}$ is a sequence of nonnegative integers such that

$a_{1}+2a_{2}+3a_{3}+\cdots +na_{n}=\sum _{i=1}^{n}ia_{i}=n.\,$

The phrase "under certain conditions" used above is made precise by the following assumptions:

• The sample size n is small by comparison to the size of the whole population; and
• The population is in statistical equilibrium under mutation and genetic drift and the role of selection at the locus in question is negligible; and
• Every mutant allele is novel.
  See also: Infinite-alleles model

This is a probability distribution on the set of all partitions of the integer n. Among probabilists and statisticians it is often called the multivariate Ewens distribution.

Mathematical properties

When θ = 0, the probability is 1 that all n genes are the same. When θ = 1, then the distribution is precisely that of the integer partition induced by a uniformly distributed random permutation. As θ → ∞, the probability that no two of the n genes are the same approaches 1.

This family of probability distributions enjoys the property that if after the sample of n is taken, m of the n gametes are chosen without replacement, then the resulting probability distribution on the set of all partitions of the smaller integer m is just what the formula above would give if m were put in place of n.

The Ewens distribution arises naturally from the Chinese restaurant process.

See also

• Chinese restaurant table distribution
• Coalescent theory
• Unified neutral theory of biodiversity
• Biomathematics

Notes

• Ewens, Warren (1972). "The sampling theory of selectively neutral alleles". Theoretical Population Biology. 3: 87–112. doi:10.1016/0040-5809(72)90035-4.
• H. Crane. (2016) "The Ubiquitous Ewens Sampling Formula", Statistical Science, 31:1 (Feb 2016). This article introduces a series of seven articles about Ewens Sampling in a special issue of the journal.
• Kingman, J. F. C. (1978). "Random partitions in population genetics". Proceedings of the Royal Society of London. Series B, Mathematical and Physical Sciences. 361 (1704). doi:10.1098/rspa.1978.0089.
• Tavare, S.; Ewens, W. J. (1997). "The Multivariate Ewens distribution". In Johnson, N. L.; Kotz, S.; Balakrishnan, N. (eds.). Discrete Multivariate Distributions. Wiley. pp. 232–246. ISBN 0-471-12844-9.