![a Principle component analysis of the Estonian dataset. The first two PCs are shown. Individual dots are coloured according to the donor’s place of birth. Estonian counties were divided into four groups (SE South-East; SW South-West; NW North-West; NE North-East) as shown in the map. This map was created in R (https://www.R-project.org/) [16] using an shp object of the administrative and settlement units provided by the Estonian Land Board, 2018.11.01 (https://geoportaal.maaamet.ee/eng/Spatial-Data/Administrative-and-Settlement-Division-p312.html). See “Methods” for more details. The individuals with no information available regarding their place of birth are shown in grey. b Projecting Estonian samples onto PC space defined by European samples (“Methods”, Supplementary text section 1). Red crosses correspond to medians of European populations while empty circles represent individual samples. Populations are labelled as follows: Ita Italians; Spa Spaniards; Fre French; Ger Germans; Hun Hungarians; Eng British; Swe Swedes; Ukr Ukrainians; Bel Belarusians; RuCS Russians from Central and Southern Russia; Pol Poles; Lit Lithuanians; Lat Latvians; Mor Mordvins; RuN Russians from Northern Russia, Estonian samples are shown in colour reflecting their position along PC1 in (a). In both panels percentages in the axis labels show the proportion of the total variance explained by the corresponding PC.](http://upload.wikimedia.org/wikipedia/commons/thumb/4/41/PCA_of_2305_Estonian_samples.webp/800px-PCA_of_2305_Estonian_samples.webp.png)
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current | 20:30, 18 January 2024 | ![]() | 1,804 × 735 (112 KB) | Finncle | Uploaded a work by Vasili Pankratov, Francesco Montinaro, Alena Kushniarevich, Georgi Hudjashov, Flora Jay, Lauri Saag, Rodrigo Flores, Davide Marnetto, Marten Seppel, Mart Kals, Urmo Võsa, Cristian Taccioli, Märt Möls, Lili Milani, Anto Aasa, Daniel John Lawson, Tõnu Esko, Reedik Mägi, Luca Pagani, Andres Metspalu & Mait Metspalu from Differences in local population history at the finest level: the case of the Estonian population. Eur J Hum Genet 28, 1580–1591 (2020). https://doi.org/10.103... |
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