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Eurogenes Biogeographic Project
Topic Started: Mar 20 2012, 04:47 PM (1,764 Views)
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Intra-European components maps

North-Atlantic :

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Western European :

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Northern-European :

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Southern-European :

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Edited by Master, Mar 20 2012, 06:30 PM.
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Intra-European components :

North-Atlantic
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North-European
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Balto-Slavic
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East-Europe :

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Intra-European MDS plots :

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Edited by Master, Mar 20 2012, 06:27 PM.
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West-Eurasia MDS :

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MDS Europe without Basques and Sardinians
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MDS Europe without Basques and Sardinians 3D
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MDS replica of Nelis et al. :

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MDS NELIS COPY 2

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Edited by Master, Mar 20 2012, 08:35 PM.
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More MDS plots :

Greeks vs East-Euros :


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Iberia, Italy, British


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Iberia, France, UK :

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Iberia, France & Northwest Europe :

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Europe vs Middle-East vs North-Africa MDS plot :

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Eurogenes K=11 neighbor joining tree :

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Eurogenes K=11 Cluster Analysis :
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HGvsF Admixture test :

Key: Red = South Asian hunter gatherer (native to South Asia - samples used included selected South Indians), Orange = Anatolian farmer (North Levant and Caucasus - selected Georgians and Abkhasians), Yellow = Middle Eastern herder (Southern Levant and Arabian peninsula - selected Saudi Arabians, Bedouins and Yemeni Jews), Light Green = American hunter gatherer (South and Central America - selected South and Central American Indians), Green = North Eurasian hunter gatherer (Siberia - selected Dolgans, Evenks, Koryaks, Nganassans, Yakuts and Yukagirs) Aqua Green = Baltic hunter gatherer (North & East European Plain - selected Lithuanians, Belorussians and Ukrainians), Light Blue = Oceanian hunter gatherer (Oceania and Southeast Asia - selected Papuans and Malenesians), Blue = Mediterranean farmer (Southern Europe, North Africa and Western Levant – selected Sardinians), Dark Purple = Far Eastern farmer (East Asia- selected Chinese samples), Light Purple = Bantu farmer (West and Central Africa – selected Yoruba), Pink = Pygmy hunter gatherer (West and South Africa – selected Pygmy and San).

Please note: First of all, it's important to understand that this is a supervised test, using small numbers of reference individuals. Therefore, it's going to be more "noisy" than an unsupervised run using genotype data from thousands of samples. It really shouldn't be shocking to see unusual admixtures of as much as 1%, or perhaps even a little more than that.


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