作用于复杂性状的自然选择阻碍了古代样本中多基因评分的预测准确性

Valeria Anorve-Garibay, Emilia Huerta-Sanchez, Mashaal Sohail, Diego Ortega-Del Vecchyo
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摘要

对古人类表型的预测因其在研究复杂性状进化方面的潜力而备受关注。这些预测通常是利用古人类的 DNA 信息和现今人类的全基因组关联研究(GWAS)数据计算出的多基因分数进行的。然而,许多进化过程可能会影响基于多基因分数的古人类表型预测。在这项工作中,我们研究了自然选择如何影响利用多基因评分对古人类的表型预测。我们通过模拟加性性状来分析自然选择如何影响多基因分数的表型预测。我们模拟了性状在中性选择、稳定选择和定向选择下的进化过程。我们发现,稳定选择和定向选择对古老表型预测的影响截然不同。稳定选择会加速导致性状变异的大效应等位基因的丧失。相反,定向选择加速了小效应和大效应等位基因的丧失,使个体远离最佳表型值。这些效应导致古代种群和现代种群之间出现特定的共享遗传变异模式,从而阻碍了多基因评分预测表型的准确性。此外,我们还进行了模拟,包括现实强度的稳定选择和遗传率估计,以说明自然选择如何影响古代多基因评分对身高和体重指数这两个广泛研究的性状的预测准确性。我们强调了考虑自然选择如何降低古代多基因评分的可靠性对古代人群进行表型预测的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural selection acting on complex traits hampers the predictive accuracy of polygenic scores in ancient samples
The prediction of phenotypes from ancient humans has gained interest due to its potential to investigate the evolution of complex traits. These predictions are commonly performed using polygenic scores computed with DNA information from ancient humans along with genome-wide association studies (GWAS) data from present-day humans. However, numerous evolutionary processes could impact the prediction of phenotypes from ancient humans based on polygenic scores. In this work we investigate how natural selection impacts phenotypic predictions on ancient individuals using polygenic scores. We use simulations of an additive trait to analyze how natural selection impacts phenotypic predictions with polygenic scores. We simulate a trait evolving under neutrality, stabilizing selection and directional selection. We find that stabilizing and directional selection have contrasting effects on ancient phenotypic predictions. Stabilizing selection accelerates the loss of large-effect alleles contributing to trait variation. Conversely, directional selection accelerates the loss of small and large-effect alleles that drive individuals farther away from the optimal phenotypic value. These effects result in specific shared genetic variation patterns between ancient and modern populations which hamper the accuracy of polygenic scores to predict phenotypes. Furthermore, we conducted simulations that include realistic strengths of stabilizing selection and heritability estimates to show how natural selection could impact the predictive accuracy of ancient polygenic scores for two widely studied traits: height and body mass index. We emphasize the importance of considering how natural selection can decrease the reliability of ancient polygenic scores to perform phenotypic predictions on an ancient population.
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