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[基因库基因地理研究的计算机技术。IV. 主成分空间中的群体]

[Computer technology of genogeographic study of the gene pool. IV. Population in the space of principal components].

作者信息

Balanovskaia E V, Nurbaev S D

机构信息

Institute of Clinical Genetics, Russian Academy of Medical Sciences, Moscow, Russia.

出版信息

Genetika. 1997 Dec;33(12):1703-18.

PMID:9493030
Abstract

On the basis of maps of principal components ("synthetic maps"), populations were arranged in the space of principal components. In terms of the applied model, nodes of a dense, uniform grid represented human populations. For each node, the frequency of a given gene was interpolated from these values for all original populations. Principal components were estimated and mapped on the basis of maps for all genes. Each population (grid node) was assigned a marker of an ethnic or some other group of populations and was positioned in the space of principal components according to the values from the original maps. The resultant "ethnic clouds" of populations and "ethnic centroids" of principal components provide some new possibilities for explaining the patterns of changes in gene pools. The maps of reliability of principal components allow the researcher to eliminate the information on populations which is unreliable and turn to the "reliable" space of principal components. The method was tested with the use of the maps of principal components for the gene pool of the East European population. Eastern Slavonic (Russians, Ukrainians, and Belarussians) and western and eastern Finno-Ugrian (Estonians and Mordovians, respectively) ethnic groups were mapped to the space of principal components. The relative positions of the populations of these ethnic groups was analyzed in the spaces of the first and the second, the first and the third, and the second and the third principal components of the East European gene pool.

摘要

基于主成分图(“合成图”),将人群排列在主成分空间中。根据所应用的模型,密集、均匀网格的节点代表人类群体。对于每个节点,从所有原始群体的这些值中插值得到给定基因的频率。基于所有基因的图谱估计主成分并进行映射。为每个群体(网格节点)指定一个族群或其他一些群体的标记,并根据原始图谱中的值将其定位在主成分空间中。由此产生的群体“族群云”和主成分的“族群质心”为解释基因库变化模式提供了一些新的可能性。主成分可靠性图谱使研究人员能够剔除不可靠的群体信息,转向主成分的“可靠”空间。该方法通过使用东欧人群基因库的主成分图进行了测试。将东斯拉夫族群(俄罗斯人、乌克兰人和白俄罗斯人)以及西部和东部芬兰 - 乌戈尔族群(分别为爱沙尼亚人和莫尔多瓦人)映射到主成分空间中。在东欧基因库的第一和第二、第一和第三以及第二和第三主成分空间中分析了这些族群群体的相对位置。

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