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Genetics in geographically structured populations: defining, estimating and interpreting FST
Open accessAbstract
Wright's F-statistics, and especially FST, provide important insights into the evolutionary processes that influence the structure of genetic variation within and among populations, and they are among the most widely used descriptive statistics in population and evolutionary genetics. Estimates of FST can identify regions of the genome that have been the target of selection, and comparisons of FST from different parts of the genome can provide insights into the demographic history of populations. For these reasons and others, FST has a central role in population and evolutionary genetics and has wide applications in fields that range from disease association mapping to forensic science. This Review clarifies how FST is defined, how it should be estimated, how it is related to similar statistics and how estimates of FST should be interpreted.
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Cited by
The return of the variance: intraspecific variability in community ecology
Violle, C., Enquist, B. J., McGill, B. J., Jiang, L., Albert, C. H., Hulshof, C., Jung, V., & Messier, J. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.11.014 · Cited by 1,768
New approaches to population stratification in genome-wide association studies
Price, A. L., Zaitlen, N. A., Reich, D., & Patterson, N. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2813 · Cited by 1,205
Cruickshank, T. E., & Hahn, M. W. (2014) · Molecular Ecology · doi:10.1111/mec.12796 · Cited by 1,061
Beall, C. M., Cavalleri, G. L., Deng, L., Elston, R. C., Gao, Y., Knight, J., Li, C., Li, J. C., Liang, Y., McCormack, M., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002443107 · Cited by 845
Detecting Natural Selection in Genomic Data
Vitti, J. J., Grossman, S. R., & Sabeti, P. C. (2013) · Annual Review of Genetics · doi:10.1146/annurev-genet-111212-133526 · Cited by 694
Metadata
- Authors
- Holsinger, K. E., & Weir, B. S.
- Venue
- Nature Reviews Genetics
- Published
- 2009-09
- Volume
- 10
- Issue
- 9
- Pages
- 639-650
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2167067208
- Cited by
- 1,416
- References
- 7
- FWCI
- 5.49
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
