Department of Evolutionary Biology and Science for Life Laboratory, Uppsala University, SE-752 36, Uppsala, Sweden.
Genetics. 2013 Feb;193(2):515-28. doi: 10.1534/genetics.112.144758. Epub 2012 Nov 19.
F(ST) is frequently used as a summary of genetic differentiation among groups. It has been suggested that F(ST) 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 F(ST) on allele frequencies, however, has been elusive. Here, we examine the relationship between F(ST) and the frequency of the most frequent allele, demonstrating that the range of values that F(ST) can take is restricted considerably by the allele-frequency distribution. For a two-population model, we derive strict bounds on F(ST) 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 F(ST) is ∼0.3585. Further, F(ST) is restricted to values much less than 1 when M is low or high, and the contribution to the maximum F(ST) 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 F(ST) in terms of the homozygosity of the total population, finding that the mean maximum F(ST) given this homozygosity is 1 - ln 2 ≈ 0.3069. Our results provide a conceptual basis for understanding the dependence of F(ST) on allele frequencies and genetic diversity and for interpreting the roles of these quantities in computations of F(ST) from population-genetic data. Further, our analysis suggests that many unusual observations of F(ST), including the relatively low F(ST) values in high-diversity human populations from Africa and the relatively low estimates of F(ST) 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 F(ST) on the properties of allele-frequency distributions.
F(ST) 通常被用作群体间遗传分化的总结。有人认为,F(ST) 取决于基因座的等位基因频率,因为它表现出与遗传多样性有关的多种特殊性质:双等位基因单核苷酸多态性(SNP)的 F(ST) 值高于多等位基因微卫星,高度多样化的群体之间的 F(ST) 值较低,主要在稀有等位基因谱上存在差异的群体的 F(ST) 值较低。然而,人们一直难以完全理解 F(ST) 对等位基因频率的依赖关系。在这里,我们研究了 F(ST) 与最常见等位基因频率之间的关系,证明 F(ST) 的取值范围受到等位基因频率分布的极大限制。对于两群体模型,我们推导出了 F(ST) 作为两个群体之间具有最高平均频率的等位基因频率 M 的函数的严格边界。使用这些边界,我们表明,对于在多等位基因基因座上选择均匀分布在 0 到 1 之间的 M 值,其等位基因数量未指定,平均最大 F(ST) 约为 0.3585。此外,当 M 较低或较高时,F(ST) 受到限制,最常见等位基因对最大 F(ST) 的贡献平均约为 0.4485。使用我们之前推导的作为 M 的函数的杂合度边界,我们用种群的杂合度来描述 F(ST) 的严格边界,发现给定这个杂合度的平均最大 F(ST) 为 1-ln2≈0.3069。我们的结果为理解 F(ST) 对等位基因频率和遗传多样性的依赖关系以及解释这些数量在种群遗传数据中计算 F(ST) 的作用提供了概念基础。此外,我们的分析表明,许多 F(ST) 的异常观察结果,包括来自非洲的高度多样化人类群体中相对较低的 F(ST) 值以及与 SNP 相比微卫星中相对较低的 F(ST) 值,并不是与不同群体或标记类别的生物现象相关,而是 F(ST) 对等位基因频率分布特性的内在数学依赖关系的结果。