Approximate Ewens formulae for symmetric overdominance selection
成果类型:
Article
署名作者:
Grote, MN; Speed, TP
署名单位:
University of California System; University of California Davis; University of California System; University of California Berkeley
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
发表日期:
2002
页码:
637-663
关键词:
sampling formula
neutral alleles
likelihood
MODEL
摘要:
We derive a family of approximate sampling distributions for the symmetric overdominance model of population genetics. The distributions are selective versions of the Ewens Sampling Formula, which gives sample likelihoods under a model of neutral evolution. We draw on basic results for the general selection model of Ethier and Kurtz, and use mathematical tools well-suited for calculating expectations of symmetric functions of Poisson-Dirichlet atoms. We conclude by briefly examining a Human Leukocyte Antigen data set, in light of a distribution conditional on the number of sample atoms.