The staff of the Laboratory of Human Population Genetics of the Research Centre for Medical Genetics created a system for determining the ethnogeographic origin of an individual for the populations of Northern Eurasia

The staff of the Laboratory of Human Population Genetics of the Research Centre for Medical Genetics created a system determining the ethnogeographic origin of an individual through DNA analysis, for populations of Northern Eurasia, under the guidance of O.P.  Balanovsky, Professor of the Russian Academy of Sciences

The article was published in Frontiers in Genetics.

The system is based on the analysis of about 5000 ancestry-associated SNPs in the populations of Northern Eurasia.  It was created as a result of the study of 1883 DNA samples from 266 populations.  12 countries of Northern Eurasia (Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Lithuania, Moldova, Mongolia, Russia, Turkey, Ukraine and Uzbekistan) were covered.  The populations were grouped into 29 ethnogeographical groups.

Employees of the Laboratory of Human Population Genetics of the Research Centre for Medical Genetics created a model for predicting the origin of an individual from any ethnogeographic group. A logistic regression model was chosen from a variety of validated models.  An average prediction accuracy for 29 ethnogeographical groups was 71%, while the model demonstrated absolute accuracy for Southern and Central Siberia, the Far East, and Kamchatka.  The results were mapped using the original software "Prarodina".

The proposed method can be used to determine the origin of an individual for the populations of Russia and neighboring countries, the scope of its application is forensic science and genetic genealogy.

You can read more about the article here:

Gorin I.O., Balanovsky O.P., Kozlov O.V., Koshel S.M., Kostryukova E.S., Agdzhoyan A.T., Pylev V.Y., Balanovska E.V.  Determining the area of ancestral origin for individuals from North Eurasia based on 5,000 SNP markers // Frontiers in Genetics.  May 16, 2022. DOI: 10.3389/fgene.2022.902309

 https://www.frontiersin.org/articles/10.3389/fgene.2022.902309/full