The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Relationship Between F ST and the Frequency of the Most Frequent Allele
Open accessAbstract
F ST is frequently used as a summary of genetic differentiation among groups. It has been suggested that FST depends on the allele frequencies at a locus, as it exhibits a variety of peculiar properties related to genetic diversity: higher values for biallelic single-nucleotide polymorphisms (SNPs) than for multiallelic microsatellites, low values among high-diversity populations viewed as substantially distinct, and low values for populations that differ primarily in their profiles of rare alleles. A full mathematical understanding of the dependence of FST on allele frequencies, however, has been elusive. Here, we examine the relationship between FST and the frequency of the most frequent allele, demonstrating that the range of values that FST can take is restricted considerably by the allele-frequency distribution. For a two-population model, we derive strict bounds on FST as a function of the frequency M of the allele with highest mean frequency between the pair of populations. Using these bounds, we show that for a value of M chosen uniformly between 0 and 1 at a multiallelic locus whose number of alleles is left unspecified, the mean maximum FST is ∼0.3585. Further, FST is restricted to values much less than 1 when M is low or high, and the contribution to the maximum FST made by the most frequent allele is on average ∼0.4485. Using bounds on homozygosity that we have previously derived as functions of M, we describe strict bounds on FST in terms of the homozygosity of the total population, finding that the mean maximum FST given this homozygosity is 1 − ln 2 ≈ 0.3069. Our results provide a conceptual basis for understanding the dependence of FST on allele frequencies and genetic diversity and for interpreting the roles of these quantities in computations of FST from population-genetic data. Further, our analysis suggests that many unusual observations of FST, including the relatively low FST values in high-diversity human populations from Africa and the relatively low estimates of FST for microsatellites compared to SNPs, can be understood not as biological phenomena associated with different groups of populations or classes of markers but rather as consequences of the intrinsic mathematical dependence of FST on the properties of allele-frequency distributions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evolution and functional impact of rare coding variation from deep sequencing of human exomes
Tennessen, J. A., Bigham, A. W., O’Connor, T. D., Fu, W., Kenny, E. E., Gravel, S., McGee, S., Do, R., Liu, X., Jun, G., et al. (2012) · Science · doi:10.1126/science.1219240 · Cited by 1,613
The Genetic Structure and History of Africans and African Americans
Tishkoff, S. A., Reed, F. A., Friedlaender, F. R., Ehret, C., Ranciaro, A., Froment, A., Hirbo, J. B., Awomoyi, A. A., Bodo, J.-M., Doumbo, O., et al. (2009) · Science · doi:10.1126/science.1172257 · Cited by 1,573 · cited 4×
“For example, using microsatellite loci, Tishkoff et al. (2009) identified a number of genetically distinctive subgroups of African populations despite confirming that FST in Africa has an unexpectedly small value.”
BackgroundMethodInfluentialRecent Explosive Human Population Growth Has Resulted in an Excess of Rare Genetic Variants
Keinan, A., & Clark, A. G. (2012) · Science · doi:10.1126/science.1217283 · Cited by 548
Cited by
Cruickshank, T. E., & Hahn, M. W. (2014) · Molecular Ecology · doi:10.1111/mec.12796 · Cited by 1,061
Insights into human genetic variation and population history from 929 diverse genomes
Bergström, A., McCarthy, S. A., Hui, R., Almarri, M. A., Ayub, Q., Danecek, P., Chen, Y., Felkel, S., Hallast, P., Kamm, J., et al. (2020) · Science · doi:10.1126/science.aay5012 · Cited by 1,020
SNP ascertainment bias in population genetic analyses: Why it is important, and how to correct it
Lachance, J., & Tishkoff, S. A. (2013) · BioEssays · doi:10.1002/bies.201300014 · Cited by 398
Linck, E., & Battey, C. J. (2019) · Molecular Ecology Resources · doi:10.1111/1755-0998.12995 · Cited by 394
Star, B., Hansen, M. H., Skage, M., Bradbury, I. R., Godiksen, J. A., Kjesbu, O. S., & Jentoft, S. (2016) · STAR: Science & Technology of Archaeological Research · doi:10.1080/20548923.2016.1160594 · Cited by 8
Metadata
- Authors
- Jakobsson, M., Edge, M. D., & Rosenberg, N. A.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-02-01
- Volume
- 193
- Issue
- 2
- Pages
- 515-528
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2029950408
- Cited by
- 215
- References
- 3
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Relationship Between F ST and the Frequency of the Most Frequent Allele. https://app.cochat.ai/papers/10.1534/genetics.112.144758
- The paper
- Jakobsson, M., Edge, M. D., & Rosenberg, N. A. (2013). The Relationship Between F ST and the Frequency of the Most Frequent Allele. Genetics. https://doi.org/10.1534/genetics.112.144758
Data sources
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.