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The Impact of Non-additive Effects on the Genetic Correlation Between Populations

机译:非加性效应对种群之间遗传相关性的影响

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摘要

Average effects of alleles can show considerable differences between populations. The magnitude of these differences can be measured by the additive genetic correlation between populations ( ). This can be lower than one due to the presence of non-additive genetic effects together with differences in allele frequencies between populations. However, the relationship between the nature of non-additive effects, differences in allele frequencies, and the value of remains unclear, and was therefore the focus of this study. We simulated genotype data of two populations that have diverged under drift only, or under drift and selection, and we simulated traits where the genetic model and magnitude of non-additive effects were varied. Results showed that larger differences in allele frequencies and larger non-additive effects resulted in lower values of . In addition, we found that with epistasis, decreases with an increase of the number of interactions per locus. For both dominance and epistasis, we found that, when non-additive effects became extremely large, had a lower bound that was determined by the type of inter-allelic interaction, and the difference in allele frequencies between populations. Given that dominance variance is usually small, our results show that it is unlikely that true values lower than 0.80 are due to dominance effects alone. With realistic levels of epistasis, dropped as low as 0.45. These results may contribute to the understanding of differences in genetic expression of complex traits between populations, and may help in explaining the inefficiency of genomic trait prediction across populations.
机译:等位基因的平均效应可以显示种群之间的显着差异。这些差异的大小可以通过群体之间的加性遗传相关性来衡量()。由于存在非累加的遗传效应以及种群之间等位基因频率的差异,因此该比率可能低于一个。但是,非加性作用的性质,等位基因频率的差异和的值之间的关系仍不清楚,因此是本研究的重点。我们模拟了仅在漂移下或在漂移和选择下已发散的两个种群的基因型数据,并模拟了遗传模型和非累加效应大小发生变化的性状。结果表明,等位基因频率的较大差异和较大的非累加效应导致较低的。此外,我们发现随着上位性的增加,每个位点的相互作用数增加。对于优势和上位性,我们发现,当非加性效应变得非常大时,其下限取决于等位基因间相互作用的类型以及群体之间等位基因频率的差异。考虑到优势方差通常很小,我们的结果表明,低于0.80的真实值不太可能仅由优势影响引起。具有现实水平的上位性,下降至0.45。这些结果可能有助于理解种群之间复杂性状的基因表达差异,并可能有助于解释整个种群的基因组性状预测效率低下。

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