Department of Biology, Stanford University, Stanford, California, USA.
Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.
Am J Phys Anthropol. 2021 Jun;175(2):406-421. doi: 10.1002/ajpa.24261. Epub 2021 Mar 27.
In genetic admixture processes, source groups for an admixed population possess distinct patterns of genotype and phenotype at the onset of admixture. Particularly in the context of recent and ongoing admixture, such differences are sometimes taken to serve as markers of ancestry for individuals-that is, phenotypes initially associated with the ancestral background in one source population are assumed to continue to reflect ancestry in that population. Such phenotypes might possess ongoing significance in social categorizations of individuals, owing in part to perceived continuing correlations with ancestry. However, genotypes or phenotypes initially associated with ancestry in one specific source population have been seen to decouple from overall admixture levels, so that they no longer serve as proxies for genetic ancestry. Here, we aim to develop an understanding of the joint dynamics of admixture levels and phenotype distributions in an admixed population.
We devise a mechanistic model, consisting of an admixture model, a quantitative trait model, and a mating model. We analyze the behavior of the mechanistic model in relation to the model parameters.
We find that it is possible for the decoupling of genetic ancestry and phenotype to proceed quickly, and that it occurs faster if the phenotype is driven by fewer loci. Positive assortative mating attenuates the process of dissociation relative to a scenario in which mating is random with respect to genetic admixture and with respect to phenotype.
The mechanistic framework suggests that in an admixed population, a trait that initially differed between source populations might serve as a reliable proxy for ancestry for only a short time, especially if the trait is determined by few loci. It follows that a social categorization based on such a trait is increasingly uninformative about genetic ancestry and about other traits that differed between source populations at the onset of admixture.
在遗传混合过程中,混合人群的源群体在混合发生时具有独特的基因型和表型模式。特别是在最近和正在发生的混合的背景下,这些差异有时被用作个体祖先的标记,即最初与一个源群体的祖先背景相关的表型被认为在该群体中继续反映祖先。由于与祖先的持续相关性,这些表型可能在个体的社会分类中具有持续的意义。然而,最初与一个特定源群体的祖先相关的基因型或表型已经被发现与总体混合水平脱钩,因此它们不再作为遗传祖先的代理。在这里,我们旨在了解混合人群中混合水平和表型分布的联合动态。
我们设计了一个机械模型,由混合模型、数量性状模型和交配模型组成。我们分析了机械模型与模型参数的关系。
我们发现,遗传祖先和表型的解耦可能很快发生,如果表型由较少的基因座驱动,则解耦发生得更快。正交配关联相对于与遗传混合和表型无关的随机交配情景会减缓分离过程。
机械框架表明,在混合人群中,最初在源群体之间存在差异的特征可能只能作为祖先的可靠代理很短的时间,特别是如果该特征由少数几个基因座决定。因此,基于这种特征的社会分类越来越不能提供关于遗传祖先和其他在混合开始时在源群体之间存在差异的特征的信息。