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首页> 外文期刊>Genetics: A Periodical Record of Investigations Bearing on Heredity and Variation >The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium
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The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium

机译:迁移和交配对混合链接不平衡的影响

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Statistical models in medical and population genetics typically assume that individuals assort randomly in a population. While this simplifies model complexity, it contradicts an increasing body of evidence of nonrandom mating in human populations. Specifically, it has been shown that assortative mating is significantly affected by genomic ancestry. In this work, we examine the effects of ancestry-assortative mating on the linkage disequilibrium between local ancestry tracks of individuals in an admixed population. To accomplish this, we develop an extension to the Wright–Fisher model that allows for ancestry-based assortative mating. We show that ancestry-assortment perturbs the distribution of local ancestry linkage disequilibrium (LAD) and the variance of ancestry in a population as a function of the number of generations since admixture. This assortment effect can induce errors in demographic inference of admixed populations when methods assume random mating. We derive closed form formulae for LAD under an assortative-mating model with and without migration. We observe that LAD depends on the correlation of global ancestry of couples in each generation, the migration rate of each of the ancestral populations, the initial proportions of ancestral populations, and the number of generations since admixture. We also present the first direct evidence of ancestry-assortment in African Americans and examine LAD in simulated and real admixed population data of African Americans. We find that demographic inference under the assumption of random mating significantly underestimates the number of generations since admixture, and that accounting for assortative mating using the patterns of LAD results in estimates that more closely agrees with the historical narrative.
机译:医学和种群遗传学中​​的统计模型通常假设个体在种群中随机分类。虽然这简化了模型的复杂性,但却与越来越多的人类非随机交配的证据相矛盾。具体地,已经表明,基因组祖先显着影响分类交配。在这项工作中,我们研究了祖先-交配对混合人口中个体祖先轨迹之间的连锁不平衡的影响。为此,我们开发了Wright-Fisher模型的扩展,该模型允许基于祖先的分类交配。我们表明,祖先分类扰乱了本地祖先连锁不平衡(LAD)的分布以及人口中祖先的方差作为自混合以来代数的函数。当方法采用随机交配时,这种分类效应可能会导致混合种群的人口统计学推断错误。我们在有和没有迁移的情况下,通过分类交配模型得出LAD的封闭形式公式。我们观察到,LAD取决于每一代夫妇的全球祖先的相关性,每个祖先群体的迁移率,祖先群体的初始比例以及自混合以来的世代数。我们还提供了非裔美国人血统分类的第一个直接证据,并在模拟和真实的非裔美国人混合人口数据中检查了LAD。我们发现,在随机交配假设下的人口统计学推断大大低估了自掺和以来的世代数量,并且使用LAD模式对分类交配进行核算得出的估计值与历史叙述更为一致。

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