Surnames (family names) show distinctive geographical patterning and in many disciplines remain an underutilized source of information about population origins, migration and identity. This paper investigates the geographical structure of surnames, using a unique individual level database assembled from registers and telephone directories from 16 European countries. We develop a novel combination of methods for exhaustively analyzing this multinational data set, based upon the Lasker Distance, consensus clustering and multidimensional scaling. Our analysis is both data rich and computationally intensive, entailing as it does the aggregation, clustering and mapping of 8 million surnames collected from 152 million individuals. The resulting regionalization has applications in developing our understanding of the social and cultural complexion of Europe, and offers potential insights into the long and short-term dynamics of migration and residential mobility. The research also contributes a range of methodological insights for future studies concerning spatial clustering of surnames and population data more widely. In short, this paper further demonstrates the value of surnames in multinational population studies and also the increasing sophistication of techniques available to analyze them.

According to the Hutterite chronicles, the Habans arrived from Austrian Tyrol, Switzerland, and northernmost Italy and stayed in four regions of Slovakia (Sobotište, Vel'ké Leváre, Moravský Svätý Ján, Trenčín). There are some communities in western Slovakia that retained their Haban cultural identity and still identify themselves as descendents of the Hutterite population with their own specific customs. Slovak Habans are typical founder population with significant social isolation for which high degree of inbreeding is typical. Present study investigated STR polymorphisms as a powerful genetic tool for population genetic studies. The aim was to perform a comparative, population genetic study based on 15 STR loci widely used in forensic genetics, of the Haban population, the Slovak majority population and the population of Tyrol. We analyzed allele frequencies and other statistical parameters in three selected populations in order to identify groups of specific ethnic origin and establish their genetic relationship. The data set included 110 unrelated Habans and 201 unrelated individuals from the Slovak majority population, as well as allelic frequencies for the population of Austrian Tyrol available in the literature. Population pairwise F_ST values used as a short term genetic distance between populations showed significant differentiation between the Habans and both reference populations (F_ST = 0.0025 and 0.0042 for comparison with the Slovaks and Austrians, respectively; p < 10^-3). The Slovak Hutterites were demonstrated to be genetically distinct and more closely related to their geographic neighbors than to their historical ancestral population, which may be at least partially explained by gene flow between neighboring Haban and Slovak populations.

Several features make Alu insertions a powerful tool used in population genetic studies: the polymorphic nature of many Alu insertions, the stability of an Alu insertion event and, furthermore, the ancestral state of an Alu insertion is known to be the absence of the Alu element at a particular locus and the presence of an Alu insertion at the site that forward mutational change. This study analyses seven Alu insertion polymorphisms in a sample of 297 individuals from the autochthonous population of Tunisia (Thala, Smar, Zarzis, and Bou Salem) and Libya with the aim of studying their genetic structure with respect to the populations of North Africa, Western, Eastern and Central Europe. The comparative analyses carried out using the MDS and AMOVA methods reveal the existence of spatial heterogeneity, and identify four population groups. Study populations (Libya, Smar, Zarzis, and Bou Salem) are closest to North African populations whereas Thala is isolated and is closest to Western European populations.

In conclusion, Results of the present study support the important role that migratory movements have played in the North African gene pool, at least since the Neolithic period.

A panel of Ancestry Informative Markers (AIMs) was used to identify population substructure and estimate individual and overall interethnic admixture in 294 individuals from seven African-derived communities of the Brazilian Amazon. A panel of 48 biallelic markers, representing the insertion (IN) or the deletion (DEL) of small DNA fragments, was employed for this purpose. Overall interethnic admixture estimates showed high miscegenation with other ethnic groups in all populations (between 46% and 64%). The proportion of ancestral genes varied significantly among individuals of the sample: the contribution of African genes varied between 12% and 75%; of European genes between 10% and 73%; and of Amerindians genes between 8% and 66%. The obtained data reveal a high contribution of Amerindian genes in these communities, unlike in other African-derived communities of the Northeast and the South of Brazil. In addition, the majority of the Amerindian contribution may result from the preferential inclusion of indigenous women in the African descent groups. High heterogeneity of the proportion of interethnic admixture among analyzed individuals was found when the proportion of ancestral genes of each individual of the sample was estimated. This heterogeneity is reflected in the fact that four populations can be considered as substructured and that the global African descent sample is possibly formed by two subpopulations.