Ancestral inference in population genetics models with selection
A new algorithm is presented for exact simulation from the conditional distribution of the genealogical history of a sample, given the composition of the sample, for population genetics models with general diploid selection. The method applies to the usual diffusion approximation of evolution at a s...
| Main Authors: | , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
2003
|
| _version_ | 1826303492103340032 |
|---|---|
| author | Stephens, M Donnelly, P |
| author_facet | Stephens, M Donnelly, P |
| author_sort | Stephens, M |
| collection | OXFORD |
| description | A new algorithm is presented for exact simulation from the conditional distribution of the genealogical history of a sample, given the composition of the sample, for population genetics models with general diploid selection. The method applies to the usual diffusion approximation of evolution at a single locus, in a randomly mating population of constant size, for mutation models in which the distribution of the type of a mutant does not depend on the type of the progenitor allele; this includes any model with only two alleles. The new method is applied to ancestral inference for the two-allele case, both with genic selection and heterozygote advantage and disadvantage, where one of the alleles is assumed to have resulted from a unique mutation event. The paper describes how the method could be used for inference when data are also available at neutral markers linked to the locus under selection. It also informally describes and constructs the non-neutral Fleming-Viot measure-valued diffusion. |
| first_indexed | 2024-03-07T06:03:31Z |
| format | Journal article |
| id | oxford-uuid:ed0b1b4f-55c9-44bb-b1d5-6337d0e266c0 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:03:31Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | oxford-uuid:ed0b1b4f-55c9-44bb-b1d5-6337d0e266c02022-03-27T11:21:59ZAncestral inference in population genetics models with selectionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ed0b1b4f-55c9-44bb-b1d5-6337d0e266c0EnglishSymplectic Elements at Oxford2003Stephens, MDonnelly, PA new algorithm is presented for exact simulation from the conditional distribution of the genealogical history of a sample, given the composition of the sample, for population genetics models with general diploid selection. The method applies to the usual diffusion approximation of evolution at a single locus, in a randomly mating population of constant size, for mutation models in which the distribution of the type of a mutant does not depend on the type of the progenitor allele; this includes any model with only two alleles. The new method is applied to ancestral inference for the two-allele case, both with genic selection and heterozygote advantage and disadvantage, where one of the alleles is assumed to have resulted from a unique mutation event. The paper describes how the method could be used for inference when data are also available at neutral markers linked to the locus under selection. It also informally describes and constructs the non-neutral Fleming-Viot measure-valued diffusion. |
| spellingShingle | Stephens, M Donnelly, P Ancestral inference in population genetics models with selection |
| title | Ancestral inference in population genetics models with selection |
| title_full | Ancestral inference in population genetics models with selection |
| title_fullStr | Ancestral inference in population genetics models with selection |
| title_full_unstemmed | Ancestral inference in population genetics models with selection |
| title_short | Ancestral inference in population genetics models with selection |
| title_sort | ancestral inference in population genetics models with selection |
| work_keys_str_mv | AT stephensm ancestralinferenceinpopulationgeneticsmodelswithselection AT donnellyp ancestralinferenceinpopulationgeneticsmodelswithselection |