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author Nelis, Mari
Esko, Tõnu
Mägi, Reedik
Zimprich, Fritz
Zimprich, Alexander
Toncheva, Draga
Karachanak, Sena
Piskáčková, Tereza
Balaščák, Ivan
Peltonen, Leena
Jakkula, Eveliina
Rehnström, Karola
Lathrop, Mark
Heath, Simon
Galan, Pilar
Schreiber, Stefan
Meitinger, Thomas
Pfeufer, Arne
Wichmann, H-Erich
Melegh, Béla
Polgár, Noémi
Toniolo, Daniela
Gasparini, Paolo
D'Adamo, Pio
Klovins, Janis
Nikitina-Zake, Liene
Kučinskas, Vaidutis
Kasnauskienė, Jūratė
Lubinski, Jan
Debniak, Tadeusz
Limborska, Svetlana
Khrunin, Andrey
Estivill, Xavier
Rabionet, Raquel
Marsal, Sara
Julià, Antonio
Antonarakis, Stylianos E.
Deutsch, Samuel
Borel, Christelle
Attar, Homa
Gagnebin, Maryline
Macek, Milan
Krawczak, Michael
Remm, Maido
Metspalu, Andres
author_facet Nelis, Mari
Esko, Tõnu
Mägi, Reedik
Zimprich, Fritz
Zimprich, Alexander
Toncheva, Draga
Karachanak, Sena
Piskáčková, Tereza
Balaščák, Ivan
Peltonen, Leena
Jakkula, Eveliina
Rehnström, Karola
Lathrop, Mark
Heath, Simon
Galan, Pilar
Schreiber, Stefan
Meitinger, Thomas
Pfeufer, Arne
Wichmann, H-Erich
Melegh, Béla
Polgár, Noémi
Toniolo, Daniela
Gasparini, Paolo
D'Adamo, Pio
Klovins, Janis
Nikitina-Zake, Liene
Kučinskas, Vaidutis
Kasnauskienė, Jūratė
Lubinski, Jan
Debniak, Tadeusz
Limborska, Svetlana
Khrunin, Andrey
Estivill, Xavier
Rabionet, Raquel
Marsal, Sara
Julià, Antonio
Antonarakis, Stylianos E.
Deutsch, Samuel
Borel, Christelle
Attar, Homa
Gagnebin, Maryline
Macek, Milan
Krawczak, Michael
Remm, Maido
Metspalu, Andres
author_sort Nelis, Mari
collection PubMed
description Using principal component (PC) analysis, we studied the genetic constitution of 3,112 individuals from Europe as portrayed by more than 270,000 single nucleotide polymorphisms (SNPs) genotyped with the Illumina Infinium platform. In cohorts where the sample size was >100, one hundred randomly chosen samples were used for analysis to minimize the sample size effect, resulting in a total of 1,564 samples. This analysis revealed that the genetic structure of the European population correlates closely with geography. The first two PCs highlight the genetic diversity corresponding to the northwest to southeast gradient and position the populations according to their approximate geographic origin. The resulting genetic map forms a triangular structure with a) Finland, b) the Baltic region, Poland and Western Russia, and c) Italy as its vertexes, and with d) Central- and Western Europe in its centre. Inter- and intra- population genetic differences were quantified by the inflation factor lambda (λ) (ranging from 1.00 to 4.21), fixation index (F(st)) (ranging from 0.000 to 0.023), and by the number of markers exhibiting significant allele frequency differences in pair-wise population comparisons. The estimated lambda was used to assess the real diminishing impact to association statistics when two distinct populations are merged directly in an analysis. When the PC analysis was confined to the 1,019 Estonian individuals (0.1% of the Estonian population), a fine structure emerged that correlated with the geography of individual counties. With at least two cohorts available from several countries, genetic substructures were investigated in Czech, Finnish, German, Estonian and Italian populations. Together with previously published data, our results allow the creation of a comprehensive European genetic map that will greatly facilitate inter-population genetic studies including genome wide association studies (GWAS).
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spelling pubmed-26750542009-05-08 Genetic Structure of Europeans: A View from the North–East Nelis, Mari Esko, Tõnu Mägi, Reedik Zimprich, Fritz Zimprich, Alexander Toncheva, Draga Karachanak, Sena Piskáčková, Tereza Balaščák, Ivan Peltonen, Leena Jakkula, Eveliina Rehnström, Karola Lathrop, Mark Heath, Simon Galan, Pilar Schreiber, Stefan Meitinger, Thomas Pfeufer, Arne Wichmann, H-Erich Melegh, Béla Polgár, Noémi Toniolo, Daniela Gasparini, Paolo D'Adamo, Pio Klovins, Janis Nikitina-Zake, Liene Kučinskas, Vaidutis Kasnauskienė, Jūratė Lubinski, Jan Debniak, Tadeusz Limborska, Svetlana Khrunin, Andrey Estivill, Xavier Rabionet, Raquel Marsal, Sara Julià, Antonio Antonarakis, Stylianos E. Deutsch, Samuel Borel, Christelle Attar, Homa Gagnebin, Maryline Macek, Milan Krawczak, Michael Remm, Maido Metspalu, Andres PLoS One Research Article Using principal component (PC) analysis, we studied the genetic constitution of 3,112 individuals from Europe as portrayed by more than 270,000 single nucleotide polymorphisms (SNPs) genotyped with the Illumina Infinium platform. In cohorts where the sample size was >100, one hundred randomly chosen samples were used for analysis to minimize the sample size effect, resulting in a total of 1,564 samples. This analysis revealed that the genetic structure of the European population correlates closely with geography. The first two PCs highlight the genetic diversity corresponding to the northwest to southeast gradient and position the populations according to their approximate geographic origin. The resulting genetic map forms a triangular structure with a) Finland, b) the Baltic region, Poland and Western Russia, and c) Italy as its vertexes, and with d) Central- and Western Europe in its centre. Inter- and intra- population genetic differences were quantified by the inflation factor lambda (λ) (ranging from 1.00 to 4.21), fixation index (F(st)) (ranging from 0.000 to 0.023), and by the number of markers exhibiting significant allele frequency differences in pair-wise population comparisons. The estimated lambda was used to assess the real diminishing impact to association statistics when two distinct populations are merged directly in an analysis. When the PC analysis was confined to the 1,019 Estonian individuals (0.1% of the Estonian population), a fine structure emerged that correlated with the geography of individual counties. With at least two cohorts available from several countries, genetic substructures were investigated in Czech, Finnish, German, Estonian and Italian populations. Together with previously published data, our results allow the creation of a comprehensive European genetic map that will greatly facilitate inter-population genetic studies including genome wide association studies (GWAS). Public Library of Science 2009-05-08 /pmc/articles/PMC2675054/ /pubmed/19424496 http://dx.doi.org/10.1371/journal.pone.0005472 Text en Nelis et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Nelis, Mari
Esko, Tõnu
Mägi, Reedik
Zimprich, Fritz
Zimprich, Alexander
Toncheva, Draga
Karachanak, Sena
Piskáčková, Tereza
Balaščák, Ivan
Peltonen, Leena
Jakkula, Eveliina
Rehnström, Karola
Lathrop, Mark
Heath, Simon
Galan, Pilar
Schreiber, Stefan
Meitinger, Thomas
Pfeufer, Arne
Wichmann, H-Erich
Melegh, Béla
Polgár, Noémi
Toniolo, Daniela
Gasparini, Paolo
D'Adamo, Pio
Klovins, Janis
Nikitina-Zake, Liene
Kučinskas, Vaidutis
Kasnauskienė, Jūratė
Lubinski, Jan
Debniak, Tadeusz
Limborska, Svetlana
Khrunin, Andrey
Estivill, Xavier
Rabionet, Raquel
Marsal, Sara
Julià, Antonio
Antonarakis, Stylianos E.
Deutsch, Samuel
Borel, Christelle
Attar, Homa
Gagnebin, Maryline
Macek, Milan
Krawczak, Michael
Remm, Maido
Metspalu, Andres
Genetic Structure of Europeans: A View from the North–East
title Genetic Structure of Europeans: A View from the North–East
title_full Genetic Structure of Europeans: A View from the North–East
title_fullStr Genetic Structure of Europeans: A View from the North–East
title_full_unstemmed Genetic Structure of Europeans: A View from the North–East
title_short Genetic Structure of Europeans: A View from the North–East
title_sort genetic structure of europeans: a view from the north–east
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675054/
https://www.ncbi.nlm.nih.gov/pubmed/19424496
http://dx.doi.org/10.1371/journal.pone.0005472
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