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Y-Chromosome Genetic Analysis of Modern Polish Population

The study presents a full analysis of the Y-chromosome variability of the modern male Polish population. It is the first study of the Polish population to be conducted with such a large set of data (2,705 individuals), which includes genetic information from inhabitants of all voivodeships, i.e., th...

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Autores principales: Grochowalski, Łukasz, Jarczak, Justyna, Urbanowicz, Maria, Słomka, Marcin, Szargut, Maria, Borówka, Paulina, Sobalska-Kwapis, Marta, Marciniak, Błażej, Ossowski, Andrzej, Lorkiewicz, Wiesław, Strapagiel, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644898/
https://www.ncbi.nlm.nih.gov/pubmed/33193657
http://dx.doi.org/10.3389/fgene.2020.567309
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author Grochowalski, Łukasz
Jarczak, Justyna
Urbanowicz, Maria
Słomka, Marcin
Szargut, Maria
Borówka, Paulina
Sobalska-Kwapis, Marta
Marciniak, Błażej
Ossowski, Andrzej
Lorkiewicz, Wiesław
Strapagiel, Dominik
author_facet Grochowalski, Łukasz
Jarczak, Justyna
Urbanowicz, Maria
Słomka, Marcin
Szargut, Maria
Borówka, Paulina
Sobalska-Kwapis, Marta
Marciniak, Błażej
Ossowski, Andrzej
Lorkiewicz, Wiesław
Strapagiel, Dominik
author_sort Grochowalski, Łukasz
collection PubMed
description The study presents a full analysis of the Y-chromosome variability of the modern male Polish population. It is the first study of the Polish population to be conducted with such a large set of data (2,705 individuals), which includes genetic information from inhabitants of all voivodeships, i.e., the first administrative level, in the country and the vast majority of its counties, i.e., the second level. In addition, the available data were divided into clusters corresponding to more natural geographic regions. Genetic analysis included the estimation of F(ST) distances, the visualization with the use of multidimensional scaling plots and analysis of molecular variance. Y-chromosome binary haplogroups were classified and visualized with the use of interpolation maps. Results showed that the level of differentiation within Polish population is quite low, but some differences were indicated. It was confirmed that the Polish population is characterized by a high degree of homogeneity, with only slight genetic differences being observed at the regional level. The use of regional clustering as an alternative to counties and voivodeships provided a more detailed view of the genetic structure of the population. Those regional differences identified in the present study highlighted the need for additional division of the population by cultural and ethnic criteria in such studies rather than just by geographical or administrative regionalization.
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spelling pubmed-76448982020-11-13 Y-Chromosome Genetic Analysis of Modern Polish Population Grochowalski, Łukasz Jarczak, Justyna Urbanowicz, Maria Słomka, Marcin Szargut, Maria Borówka, Paulina Sobalska-Kwapis, Marta Marciniak, Błażej Ossowski, Andrzej Lorkiewicz, Wiesław Strapagiel, Dominik Front Genet Genetics The study presents a full analysis of the Y-chromosome variability of the modern male Polish population. It is the first study of the Polish population to be conducted with such a large set of data (2,705 individuals), which includes genetic information from inhabitants of all voivodeships, i.e., the first administrative level, in the country and the vast majority of its counties, i.e., the second level. In addition, the available data were divided into clusters corresponding to more natural geographic regions. Genetic analysis included the estimation of F(ST) distances, the visualization with the use of multidimensional scaling plots and analysis of molecular variance. Y-chromosome binary haplogroups were classified and visualized with the use of interpolation maps. Results showed that the level of differentiation within Polish population is quite low, but some differences were indicated. It was confirmed that the Polish population is characterized by a high degree of homogeneity, with only slight genetic differences being observed at the regional level. The use of regional clustering as an alternative to counties and voivodeships provided a more detailed view of the genetic structure of the population. Those regional differences identified in the present study highlighted the need for additional division of the population by cultural and ethnic criteria in such studies rather than just by geographical or administrative regionalization. Frontiers Media S.A. 2020-10-23 /pmc/articles/PMC7644898/ /pubmed/33193657 http://dx.doi.org/10.3389/fgene.2020.567309 Text en Copyright © 2020 Grochowalski, Jarczak, Urbanowicz, Słomka, Szargut, Borówka, Sobalska-Kwapis, Marciniak, Ossowski, Lorkiewicz and Strapagiel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Grochowalski, Łukasz
Jarczak, Justyna
Urbanowicz, Maria
Słomka, Marcin
Szargut, Maria
Borówka, Paulina
Sobalska-Kwapis, Marta
Marciniak, Błażej
Ossowski, Andrzej
Lorkiewicz, Wiesław
Strapagiel, Dominik
Y-Chromosome Genetic Analysis of Modern Polish Population
title Y-Chromosome Genetic Analysis of Modern Polish Population
title_full Y-Chromosome Genetic Analysis of Modern Polish Population
title_fullStr Y-Chromosome Genetic Analysis of Modern Polish Population
title_full_unstemmed Y-Chromosome Genetic Analysis of Modern Polish Population
title_short Y-Chromosome Genetic Analysis of Modern Polish Population
title_sort y-chromosome genetic analysis of modern polish population
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644898/
https://www.ncbi.nlm.nih.gov/pubmed/33193657
http://dx.doi.org/10.3389/fgene.2020.567309
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