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阿尔巴尼亚的姓氏:通过姓氏相同对阿尔巴尼亚人口的一项研究。

Surnames in Albania: a study of the population of Albania through isonymy.

作者信息

Mikerezi Ilia, Xhina Endrit, Scapoli Chiara, Barbujani Guido, Mamolini Elisabetta, Sandri Massimo, Carrieri Alberto, Rodriguez-Larralde Alvaro, Barrai Italo

机构信息

Department of Biology, Faculty of Natural Sciences, Tirana, Albania.

出版信息

Ann Hum Genet. 2013 May;77(3):232-43. doi: 10.1111/ahg.12015. Epub 2013 Mar 5.

DOI:10.1111/ahg.12015
PMID:23458291
Abstract

In order to describe the isonymic structure of Albania, the distribution of 3,068,447 surnames was studied in the 12 prefectures and their administrative subdivisions: the 36 districts and 321 communes. The number of different surnames found was 37,184. Effective surname number for the entire country was 1327, the average for prefectures was 653.3 ± 84.3, for districts 365.9 ± 42.0 and for communes 122.6 ± 8.7. These values display a variation of inbreeding between administrative levels in the Albanian population, which can be attributed to the previously published "Prefecture effect". Matrices of isonymic distances between units within administrative levels were tested for correlation with geographic distances. The correlations were highest for prefectures (r = 0.71 ± 0.06 for Euclidean distance) and lowest for communes (r = 0.37 ± 0.011 for Nei's distance). The multivariate analyses (Principal component analysis and Multidimensional Scaling) of prefectures identify three main clusters, one toward the North, the second in Central Albania, and the third in the South. This pattern is consistent with important subclusters from districts and communes, which point out that the country may have been colonised by diffusion of groups in the North-South direction, and from Macedonia in the East, over a pre-existing Illiryan population.

摘要

为了描述阿尔巴尼亚的姓氏结构,我们研究了12个州及其行政分区(36个区和321个公社)中3,068,447个姓氏的分布情况。发现的不同姓氏数量为37,184个。全国的有效姓氏数量为1327个,州的平均数量为653.3±84.3个,区为365.9±42.0个,公社为122.6±8.7个。这些数值显示了阿尔巴尼亚人口在行政级别之间近亲繁殖的差异,这可归因于先前发表的“州效应”。对行政级别内各单位之间的姓氏距离矩阵进行了与地理距离相关性的测试。相关性在州一级最高(欧几里得距离的r = 0.71±0.06),在公社一级最低(Nei氏距离的r = 0.37±0.011)。对州进行的多变量分析(主成分分析和多维尺度分析)确定了三个主要聚类,一个在北部,第二个在阿尔巴尼亚中部,第三个在南部。这种模式与来自区和公社的重要子聚类一致,这表明该国可能是由群体在南北方向以及从东部的马其顿扩散到先前存在的伊利里亚人口上而形成的殖民地。

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