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| Content Provider | PubMed Central |
|---|---|
| Author | Nelis, Mari Esko, Tõnu Mägi, Reedik Zimprich, Fritz Zimprich, Alexander Draga, Toncheva Sena, Karachanak Piskáčková, Tereza Ivan, Balaščák 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 Pio, D'adamo Janis, Klovins Nikitina-zake, Liene Kučinskas, Vaidutis Kasnauskienė, Jūratė Lubinski, Jan Tadeusz, Debniak Svetlana, Limborska Andrey, Khrunin 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 Andres, Metspalu |
| Editor | Fleischer, Robert C. |
| Copyright Year | 2009 |
| Abstract | 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 (Fst) (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). |
| Related Links | http://dx.doi.org/10.1371/journal.pone.0005472 |
| Starting Page | 5472 |
| File Format | |
| ISSN | 19326203 |
| e-ISSN | 19326203 |
| Journal | PLoS ONE |
| Issue Number | 5 |
| Volume Number | 4 |
| Language | English |
| Publisher | Public Library of Science |
| Publisher Date | 2009-05-01 |
| Access Restriction | Open |
| Rights Holder | Public Library of Science |
| Subject Keyword | Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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