Mathematical Constraints on F ST : Biallelic Markers in Arbitrarily Many Populations

[Formula: see text] is one of the most widely used statistics in population genetics. Recent mathematical studies have identified constraints that challenge interpretations of [Formula: see text] as a measure with potential to range from 0 for genetically similar populations to 1 for divergent popul...

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Veröffentlicht in:Genetics (Austin) 2017-07, Vol.206 (3), p.1581-1600
Hauptverfasser: Alcala, Nicolas, Rosenberg, Noah A
Format: Artikel
Sprache:eng
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Zusammenfassung:[Formula: see text] is one of the most widely used statistics in population genetics. Recent mathematical studies have identified constraints that challenge interpretations of [Formula: see text] as a measure with potential to range from 0 for genetically similar populations to 1 for divergent populations. We generalize results obtained for population pairs to arbitrarily many populations, characterizing the mathematical relationship between [Formula: see text] the frequency of the more frequent allele at a polymorphic biallelic marker, and the number of subpopulations We show that for fixed , [Formula: see text] has a peculiar constraint as a function of , with a maximum of 1 only if [Formula: see text] for integers with [Formula: see text] For fixed , as grows large, the range of [Formula: see text] becomes the closed or half-open unit interval. For fixed , however, some [Formula: see text] always exists at which the upper bound on [Formula: see text] lies below [Formula: see text] We use coalescent simulations to show that under weak migration, [Formula: see text] depends strongly on when is small, but not when is large. Finally, examining data on human genetic variation, we use our results to explain the generally smaller [Formula: see text] values between pairs of continents relative to global [Formula: see text] values. We discuss implications for the interpretation and use of [Formula: see text].
ISSN:1943-2631
1943-2631
DOI:10.1534/genetics.116.199141