The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Measures of divergence between populations and the effect of forces that reduce variability
Open accessAbstract
Wright's FST and related statistics are often used to measure the extent of divergence among populations of the same species relative to the net genetic diversity within the species. This paper compares several definitions of FST which are relevant to DNA sequence data, and shows that these must be used with care when estimating migration parameters. It is also pointed out that FST is strongly influenced by the level of within-population diversity. In situations where factors such as selection on closely linked sites are expected to have stronger effects on within-population diversity at some loci than at others, differences among loci can result entirely from differences in within-population diversities. It is shown that several published cases of differences in FST among regions of high and low recombination in Drosophila may be caused in this way. For the purpose of comparisons of levels of between-population differences among loci or species which are subject to different intensities of forces that reduce variability within local populations, absolute measures of divergence between populations should be used in preference to relative measures such as FST.
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Cites
ESTIMATING F -STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb05657.x · Cited by 19,066
Molecular Evolutionary Genetics
Nei, M. (1987) · Columbia University Press eBooks · doi:10.7312/nei-92038 · Cited by 15,271
Analysis of Gene Diversity in Subdivided Populations
Nei, M. (1973) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.70.12.3321 · Cited by 8,885
THE GENETICAL STRUCTURE OF POPULATIONS
WRIGHT, S. (1949) · Annals of Eugenics · doi:10.1111/j.1469-1809.1949.tb02451.x · Cited by 6,753
ISOLATION BY DISTANCE IN EQUILIBRIUM AND NON-EQUILIBRIUM POPULATIONS
Slatkin, M. (1993) · Evolution · doi:10.1111/j.1558-5646.1993.tb01215.x · Cited by 2,588
Gene genealogies and the coalescent process.
Hudson, R. R. (1990) · Medical Entomology and Zoology · Cited by 1,838
The effect of deleterious mutations on neutral molecular variation.
Charlesworth, B., Morgan, M. T., & Charlesworth, D. (1993) · Genetics · doi:10.1093/genetics/134.4.1289 · Cited by 1,803
Self-citationA 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
Estimation of levels of gene flow from DNA sequence data.
Hudson, R. R., Slatkin, M., & Maddison, W. P. (1992) · Genetics · doi:10.1093/genetics/132.2.583 · Cited by 1,753
DNA POLYMORPHISM DETECTABLE BY RESTRICTION ENDONUCLEASES
Nei, M., & Tajima, F. (1981) · Genetics · doi:10.1093/genetics/97.1.145 · Cited by 1,332
Cited by
G ST and its relatives do not measure differentiation
JOST, L. (2008) · Molecular Ecology · doi:10.1111/j.1365-294x.2008.03887.x · Cited by 2,435
A STANDARDIZED GENETIC DIFFERENTIATION MEASURE
Hedrick, P. W. (2005) · Evolution · doi:10.1111/j.0014-3820.2005.tb01814.x · Cited by 1,909
Hitchhiking Under Positive Darwinian Selection
Fay, J. C., & Wu, C.-I. (2000) · Genetics · doi:10.1093/genetics/155.3.1405 · Cited by 1,819
The estimation of population differentiation with microsatellite markers
Balloux, F., & Lugon‐Moulin, N. (2002) · Molecular Ecology · doi:10.1046/j.0962-1083.2001.01436.x · Cited by 1,208
Ramachandran, S., Deshpande, O., Roseman, C. C., Rosenberg, N. A., Feldman, M. W., & Cavalli-Sforza, L. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507611102 · Cited by 1,103
Metadata
- Authors
- Charlesworth, B.
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-05-01
- Volume
- 15
- Issue
- 5
- Pages
- 538-543
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- OpenAlex
- W2051332263
- Cited by
- 458
- References
- 34
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.