Implications of the apportionment of human genetic diversity for the apportionment of human phenotypic diversity
Implications of the apportionment of human genetic diversity for the apportionment of human phenotypic diversity
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DOI：
10.1016/j.shpsc.2014.12.005
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发表时间：
2015-08-01
影响因子：
0.9
通讯作者：
Rosenberg, Noah A.
中科院分区：
文献类型：
--
作者：
Edge, Michael D.;Rosenberg, Noah A.
许多领域的研究人员已经考虑了关于“种族”概念的两个关于遗传变异的结果的意义。首先，在大多数遗传位点，人类遗传多样性的分配发现，世界各地的人口在遗传上是相似的。其次，当检查多个基因座时，就有可能区分不同地理区域的祖先。这两个结果提出了一个关于人类表型多样性的重要问题：群体在由多个遗传位点决定的表型上通常有多大程度的差异？可以预料的是，这些表型遵循在单个基因座观察到的相似模式。或者，由于它们具有多位点遗传结构，它们可能遵循多位点祖先推断所提出的更大分化的模式。为了解决这个问题，我们扩展了Edwards(2003)的一个著名的分类模型，增加了一个选择性的中性数量性状。使用扩展的模型，我们表明，与之前在数量遗传学中的工作一致，无论有多少个遗传座位影响性状，一个中性性状大约与单个遗传座位一样能提供关于祖先的信息。这些结果支持单基因座遗传多样性划分与表型多样性预测的相关性。(C)2015爱思唯尔有限公司。保留所有权利。
Researchers in many fields have considered the meaning of two results about genetic variation for concepts of "race." First, at most genetic loci, apportionments of human genetic diversity find that worldwide populations are genetically similar. Second, when multiple genetic loci are examined, it is possible to distinguish people with ancestry from different geographical regions. These two results raise an important question about human phenotypic diversity: To what extent do populations typically differ on phenotypes determined by multiple genetic loci? It might be expected that such phenotypes follow the pattern of similarity observed at individual loci. Alternatively, because they have a multilocus genetic architecture, they might follow the pattern of greater differentiation suggested by multilocus ancestry inference. To address the question, we extend a well-known classification model of Edwards (2003) by adding a selectively neutral quantitative trait. Using the extended model, we show, in line with previous work in quantitative genetics, that regardless of how many genetic loci influence the trait, one neutral trait is approximately as informative about ancestry as a single genetic locus. The results support the relevance of single-locus genetic-diversity partitioning for predictions about phenotypic diversity. (C) 2015 Elsevier Ltd. All rights reserved.