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 |
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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]. |
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ISSN: | 1943-2631 1943-2631 |
DOI: | 10.1534/genetics.116.199141 |