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Significant genetic differentiation between Poland and Germany follows present-day political borders, as revealed by Y-chromosome analysis

Overview of attention for article published in Human Genetics, June 2005
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3 X users
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6 Wikipedia pages

Citations

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107 Dimensions

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91 Mendeley
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1 CiteULike
Title
Significant genetic differentiation between Poland and Germany follows present-day political borders, as revealed by Y-chromosome analysis
Published in
Human Genetics, June 2005
DOI 10.1007/s00439-005-1333-9
Pubmed ID
Authors

Manfred Kayser, Oscar Lao, Katja Anslinger, Christa Augustin, Grazyna Bargel, Jeanett Edelmann, Sahar Elias, Marielle Heinrich, Jürgen Henke, Lotte Henke, Carsten Hohoff, Anett Illing, Anna Jonkisz, Piotr Kuzniar, Arleta Lebioda, Rüdiger Lessig, Slawomir Lewicki, Agnieszka Maciejewska, Dorota Marta Monies, Ryszard Pawłowski, Micaela Poetsch, Dagmar Schmid, Ulrike Schmidt, Peter M. Schneider, Beate Stradmann-Bellinghausen, Reinhard Szibor, Rudolf Wegener, Marcin Wozniak, Magdalena Zoledziewska, Lutz Roewer, Tadeusz Dobosz, Rafal Ploski

Abstract

To test for human population substructure and to investigate human population history we have analysed Y-chromosome diversity using seven microsatellites (Y-STRs) and ten binary markers (Y-SNPs) in samples from eight regionally distributed populations from Poland (n = 913) and 11 from Germany (n = 1,215). Based on data from both Y-chromosome marker systems, which we found to be highly correlated (r = 0.96), and using spatial analysis of the molecular variance (SAMOVA), we revealed statistically significant support for two groups of populations: (1) all Polish populations and (2) all German populations. By means of analysis of the molecular variance (AMOVA) we observed a large and statistically significant proportion of 14% (for Y-SNPs) and 15% (for Y-STRs) of the respective total genetic variation being explained between both countries. The same population differentiation was detected using Monmonier's algorithm, with a resulting genetic border between Poland and Germany that closely resembles the course of the political border between both countries. The observed genetic differentiation was mainly, but not exclusively, due to the frequency distribution of two Y-SNP haplogroups and their associated Y-STR haplotypes: R1a1*, most frequent in Poland, and R1*(xR1a1), most frequent in Germany. We suggest here that the pronounced population differentiation between the two geographically neighbouring countries, Poland and Germany, is the consequence of very recent events in human population history, namely the forced human resettlement of many millions of Germans and Poles during and, especially, shortly after World War II. In addition, our findings have consequences for the forensic application of Y-chromosome markers, strongly supporting the implementation of population substructure into forensic Y chromosome databases, and also for genetic association studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
France 1 1%
United Kingdom 1 1%
Belgium 1 1%
United States 1 1%
Unknown 86 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 14 15%
Student > Master 9 10%
Student > Doctoral Student 7 8%
Student > Bachelor 5 5%
Other 17 19%
Unknown 17 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 45%
Biochemistry, Genetics and Molecular Biology 21 23%
Environmental Science 3 3%
Medicine and Dentistry 3 3%
Social Sciences 2 2%
Other 4 4%
Unknown 17 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2022.
All research outputs
#6,499,286
of 25,765,370 outputs
Outputs from Human Genetics
#777
of 2,978 outputs
Outputs of similar age
#17,254
of 58,777 outputs
Outputs of similar age from Human Genetics
#6
of 16 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 58,777 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.