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Assessing population differentiation and isolation from single-nucleotide polymorphism data

Abstract:

We introduce a new, hierarchical, model for single-nucleotide polymorphism allele frequencies in a structured population, which is naturally fitted via Markov chain Monte Carlo methods. There is one parameter for each population, closely analogous to a population-specific version of Wright's FST, which can be interpreted as measuring how isolated the relevant population has been. Our model includes the effects of single-nucleotide polymorphism ascertainment and is motivated by population gene...

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Publication status:
Published

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Publisher copy:
10.1111/1467-9868.00357

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Volume:
64
Issue:
4
Pages:
695-715
Publication date:
2002-01-01
DOI:
EISSN:
1467-9868
ISSN:
1369-7412
URN:
uuid:e965c92d-8c2d-46d8-8538-9d242f6e97c2
Source identifiers:
50027
Local pid:
pubs:50027

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