Kyriazis Christopher C, Lohmueller Kirk E
Department of Ecology and Evolutionary Biology, University of California, Los Angeles, USA.
Interdepartmental Program in Bioinformatics, University of California, Los Angeles, USA.
bioRxiv. 2024 Feb 26:2024.02.25.582010. doi: 10.1101/2024.02.25.582010.
Dominance is a fundamental parameter in genetics, determining the dynamics of natural selection on deleterious and beneficial mutations, the patterns of genetic variation in natural populations, and the severity of inbreeding depression in a population. Despite this importance, dominance parameters remain poorly known, particularly in humans or other non-model organisms. A key reason for this lack of information about dominance is that it is extremely challenging to disentangle the selection coefficient () of a mutation from its dominance coefficient (). Here, we explore dominance and selection parameters in humans by fitting models to the site frequency spectrum (SFS) for nonsynonymous mutations. When assuming a single dominance coefficient for all nonsynonymous mutations, we find that numerous values can fit the data, so long as is greater than ~0.15. Moreover, we also observe that theoretically-predicted models with a negative relationship between and can also fit the data well, including models with =0.05 for strongly deleterious mutations. Finally, we use our estimated dominance and selection parameters to inform simulations revisiting the question of whether the out-of-Africa bottleneck has led to differences in genetic load between African and non-African human populations. These simulations suggest that the relative burden of genetic load in non-African populations depends on the dominance model assumed, with slight increases for more weakly recessive models and slight decreases shown for more strongly recessive models. Moreover, these results also demonstrate that models of partially recessive nonsynonymous mutations can explain the observed severity of inbreeding depression in humans, bridging the gap between molecular population genetics and direct measures of fitness in humans. Our work represents a comprehensive assessment of dominance and deleterious variation in humans, with implications for parameterizing models of deleterious variation in humans and other mammalian species.
显性是遗传学中的一个基本参数,它决定了对有害和有益突变的自然选择动态、自然种群中的遗传变异模式以及种群中近亲繁殖衰退的严重程度。尽管具有如此重要性,但显性参数仍然知之甚少,尤其是在人类或其他非模式生物中。关于显性缺乏信息的一个关键原因是,将突变的选择系数()与其显性系数()区分开来极具挑战性。在这里,我们通过将模型拟合到非同义突变的位点频率谱(SFS)来探索人类中的显性和选择参数。当为所有非同义突变假设一个单一的显性系数时,我们发现只要大于约0.15,许多值都能拟合数据。此外,我们还观察到理论上预测的与呈负相关的模型也能很好地拟合数据,包括对强有害突变 =0.05的模型。最后,我们使用估计的显性和选择参数为模拟提供信息,重新审视非洲以外的瓶颈是否导致非洲和非非洲人群之间遗传负荷差异的问题。这些模拟表明,非非洲人群中遗传负荷的相对负担取决于所假设的显性模型,对于较弱隐性模型略有增加,而对于较强隐性模型略有下降。此外,这些结果还表明,部分隐性非同义突变模型可以解释人类中观察到的近亲繁殖衰退的严重程度,弥合了分子群体遗传学与人类适应性直接测量之间的差距。我们的工作代表了对人类显性和有害变异的全面评估,对参数化人类和其他哺乳动物物种的有害变异模型具有启示意义。