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Use of autosomal loci for clustering individuals and populations of East Asian origin.

机译:常染色体基因座用于聚集东亚血统的个体和人群的用途。

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We studied the genetic relationships among East Asian populations based on allele frequency differences to clarify the relative similarities of East Asian populations with a specific focus on the relationships among the Koreans, the Japanese, and the Chinese populations known to be genetically similar. The goal is to find markers appropriate for differentiating among the specific populations. In this study, no prior data existed for Koreans and the markers were selected to differentiate Chinese and Japanese. We typed, using AB TaqMan assays, single-nucleotide polymorphisms (SNPs) at 43 highly selected mostly independent diallelic sites, on 386 individuals from eight East Asian populations (Han Chinese from San Francisco, Han Chinese from Taiwan, Hakka, Koreans, Japanese, Ami, Atayal, and Cambodians) and one Siberian population (Yakut). We inferred group membership of individuals using a model-based clustering method implemented by the STRUCTURE program and population clustering by using computer programs DISTANCE, NEIGHBOR, LSSEARCH, and DRAWTREE, respectively, calculating genetic distances among populations, calculating neighbor-joining and least-squares trees, and drawing the calculated trees. On average 52% of individuals in the three Chinese groups were assigned into one cluster, and, respectively, 78 and 69% of Koreans and Japanese into a different cluster. Koreans differentiated from the Chinese groups and clustered with the Japanese in the principal component analysis (PCA) and in the best least-squares tree. The majority of Koreans were difficult to distinguish from the Japanese. This study shows that a relatively few highly selected markers can, within limits, differentiate between closely related populations.
机译:我们基于等位基因频率差异研究了东亚人群之间的遗传关系,以阐明东亚人群的相对相似性,重点关注已知遗传相似的韩国人,日本人和中国人之间的关系。目的是找到适合区分特定人群的标记。在这项研究中,没有朝鲜人的先前数据,并且选择了标记来区分中国人和日本人。我们使用AB TaqMan分析方法在来自8个东亚人群的386位个体(包括来自旧金山的汉族,来自台湾的汉族,台湾的客家,韩国人,日本人,阿米(Ami),泰雅族(Atayal)和柬埔寨人)和一个西伯利亚人口(雅库特(Yakut))。我们使用结构程序实现的基于模型的聚类方法,分别使用计算机程序DISTANCE,NEIGHBOR,LSSEARCH和DRAWTREE进行人口聚类,计算群体之间的遗传距离,计算邻域连接和最小二乘,从而推断出个人的组成员身份。树木,并绘制计算出的树木。三个小组中平均有52%的人被分配到一个集群中,分别有78%和69%的韩国人和日本人被分配到另一个集群中。韩国人与中国人不同,在主成分分析(PCA)和最佳最小二乘树中与日本人聚在一起。大多数韩国人很难与日本人区分开。这项研究表明,相对较少的高度选择的标记可以在有限的范围内区分密切相关的人群。

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