Estimators for QST and coalescence times
Open accessAbstract
Comparisons of to can provide insights into the evolutionary processes that lead to differentiation, or lack thereof, among the phenotypes of different groups (e.g., populations, species), and these comparisons have been performed on a variety of taxa, including humans. Here, I show that for neutrally evolving (i.e., by genetic drift, mutation, and gene flow alone) quantitative characters, the two commonly used estimators have somewhat different interpretations in terms of coalescence times, particularly when the number of groups that have been sampled is small. A similar situation occurs for estimators. Consequently, when observations come from only a small number of groups, which is not an unusual situation, it is important to match estimators appropriately when comparing to .
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The variance in group means was computed without using Bessel's correction, as shown by Weaver (51) to be the correct formula for Nei's FST (52).
“We note that we computed the variance in group means without using Bessel’s correction, as shown by Weaver (51) to be the correct formula for Nei’s FST (52).”
From Heritability within groups is uninformative about differences among groups: Cases from behavioral, evolutionary, and statistical genetics (2024) · cites this paper as [51]
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Craniometric variation among modern human populations
Relethford, J. H. (1994) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330950105 · Cited by 418 · see citing works
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Research works printed but not linked: 18
- Goldstein, D. B., Linares, A. R., Cavalli‐Sforza, L. L., & Feldman, M. W. (1995). An evaluation of genetic distances for use with microsatellite loci. Genetics, 139, 463– 471. 7705647 PMC1206344
- Kremer, A., Zanetto, A., & Ducousso, A. (1997). Multilocus and multitrait measures of differentiation for gene markers and phenotypic traits. Genetics, 145, 1229– 1241. 9093871 PMC1207889
- Lande, R. (1979). Quantitative genetic analysis of multivariate evolution, applied to brain:body size allometry. Evolution, 33, 402– 416. 28568194
- Lande, R. (1992). Neutral theory of quantitative genetic variance in an island model with local extinction and colonization. Evolution, 46, 381– 389. 28564025
- Lynch, M., & Crease, T. J. (1990). The analysis of population survey data on DNA sequence variation. Molecular Biology and Evolution, 7, 377– 394. 1974693
- Lynch, M., & Hill, W. G. (1986). Phenotypic evolution by neutral mutation. Evolution, 40, 915– 935. 28556213
- Nei, M. (1973). Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences of the United States of America, 70, 3321– 3323. 4519626 PMC427228
- Prout, T., & Barker, J. S. F. (1993). F statistics in Drosophilia buzzatii: Selection, population size and inbreeding. Genetics, 134, 369– 375. 8514144 PMC1205439
- Relethford, J. H., & Blangero, J. (1990). Detection of differential gene flow from patterns of quantitative variation. Human Biology, 62, 5– 25. 2323770
- Rogers, A. R., & Harpending, H. C. (1983). Population structure and quantitative characters. Genetics, 105, 985– 1002. 17246186 PMC1202238
- Roseman, C. C., & Weaver, T. D. (2007). Molecules versus morphology? Not for the human cranium. Bioessays, 29, 1185– 1188. 18008372
- Slatkin, M. (1993). Isolation by distance in equilibrium and non‐equilibrium populations. Evolution, 47, 264– 279. 28568097
- Slatkin, M. (1995). A measure of population subdivision based on microsatellite allele frequencies. Genetics, 139, 457– 462. 7705646 PMC1206343
- Spitze, K. (1993). Population structure in Daphnia obtusa: Quantitative genetic and allozymic variation. Genetics, 135, 367– 374. 8244001 PMC1205642
- Turelli, M., Gillespie, J. H., & Lande, R. (1988). Rate tests for selection on quantitative characters during macroevolution and microevolution. Evolution, 42, 1085– 1089. 28581161
- Weir, B. S., & Cockerham, C. C. (1984). Estimating F‐statistics for the analysis of population structure. Evolution, 38, 1358– 1370. 28563791
- Whitlock, M. C. (1999). Neutral additive genetic variance in a metapopulation. Genetical Research, 74, 215– 221. 10689799
- Whitlock, M. C. (2008). Evolutionary inference from Q ST. Molecular Ecology, 17, 1885– 1896. 18363667
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Schraiber, J. G., & Edge, M. D. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319496121 · Cited by 17 · see citing works
- Authors
- Weaver, T. D.
- Affiliations
- University of California, Davis (US)
- Corresponding author
- Weaver, Timothy D.
- ORCID
- Weaver, Timothy D.
- Venue
- Ecology and Evolution
- Publisher
- Wiley
- Published
- 2016-10-05
- Volume
- 6
- Issue
- 21
- Pages
- 7783-7786
- ISSN
- 2045-7758 (ISSN-L)
- PMC
- PMC6093160
- OpenAlex
- W2529471174
- Cited by
- 4
- References
- 1
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2019: 1
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Ecology and Evolution (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
- Keywords
- quantitative sensory testing, coalescence time, estimator comparison, neutral evolution, genetic drift, gene flow, genetic mutations, small sample size, genetic differentiation, quantitative traits
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