The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A statistical test for detecting geographic subdivision.
Open accessAbstract
A statistical test for detecting genetic differentiation of subpopulations is described that uses molecular variation in samples of DNA sequences from two or more localities. The statistical significance of the test is determined with Monte Carlo simulations. The power of the test to detect genetic differentiation in a selectively neutral Wright-Fisher island model depends on both sample size and the rates of migration, mutation, and recombination. It is found that the power of the test is substantial with samples of size 50, when 4Nm less than 10, where N is the subpopulation size and m is the fraction of migrants in each subpopulation each generation. More powerful tests are obtained with genes with recombination than with genes without recombination.
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Cites
Molecular Evolutionary Genetics
Nei, M. (1987) · Columbia University Press eBooks · doi:10.7312/nei-92038 · Cited by 15,271
THE GENETICAL STRUCTURE OF POPULATIONS
WRIGHT, S. (1949) · Annals of Eugenics · doi:10.1111/j.1469-1809.1949.tb02451.x · Cited by 6,753
Principles of Population Genetics.
Cormack, R. M., Hartl, D. L., & Clark, A. G. (1990) · Biometrics · doi:10.2307/2531471 · Cited by 5,242
On the number of segregating sites in genetical models without recombination
Watterson, G. A. (1975) · Theoretical Population Biology · doi:10.1016/0040-5809(75)90020-9 · Cited by 3,915
A Test of Neutral Molecular Evolution Based on Nucleotide Data
Hudson, R. R., Kreitman, M., & Aguadé, M. (1987) · Genetics · doi:10.1093/genetics/116.1.153 · Cited by 1,767
A COMPARISON OF THREE INDIRECT METHODS FOR ESTIMATING AVERAGE LEVELS OF GENE FLOW
Slatkin, M., & Barton, N. H. (1989) · Evolution · doi:10.1111/j.1558-5646.1989.tb02587.x · Cited by 1,437
Weir, B. S. (1990) · Cited by 1,401
Estimation of fixation indices and gene diversities
NEI, M., & CHESSER, R. K. (1983) · Annals of Human Genetics · doi:10.1111/j.1469-1809.1983.tb00993.x · Cited by 942
Kimura, M. (1969) · Genetics · doi:10.1093/genetics/61.4.893 · Cited by 817
Properties of a neutral allele model with intragenic recombination
Hudson, R. R. (1983) · Theoretical Population Biology · doi:10.1016/0040-5809(83)90013-8 · Cited by 816
Cited by
Defining ‘Evolutionarily Significant Units’ for conservation
Moritz, C. (1994) · Trends in Ecology & Evolution · doi:10.1016/0169-5347(94)90057-4 · Cited by 3,348
AN EXACT TEST FOR POPULATION DIFFERENTIATION
Raymond, M., & Rousset, F. (1995) · Evolution · doi:10.1111/j.1558-5646.1995.tb04456.x · Cited by 3,015
Testing Differentiation in Diploid Populations
Goudet, J., Raymond, M., de Meeüs, T., & Rousset, F. (1996) · Genetics · doi:10.1093/genetics/144.4.1933 · Cited by 1,296
Separating the wheat from the chaff: patterns of genetic differentiation in high gene flow species
Waples, R. S. (1998) · Journal of Heredity · doi:10.1093/jhered/89.5.438 · Cited by 1,292
Identification of management units using population genetic data
PALSBOLL, P., BERUBE, M., & ALLENDORF, F. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.09.003 · Cited by 1,072
Metadata
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 1992-01
- Volume
- 9
- Issue
- 1
- Pages
- 138-51
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- OpenAlex
- W2153444912
- Cited by
- 980
- References
- 19
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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