Explore the ancient reference Irkutsk ENMN Stepno-Baltaiskii, its closest modern genetic matches, ancestry models, and genetic distance heatmap.
Irkutsk ENMN Stepno-Baltaiskii is a reference in the World Genetics ancient G25 dataset. This page compares its coordinates with modern and ancient references. Labels may identify a sampled group, archaeological context, individual, or simulation; they do not necessarily describe an entire ancient population.
The map shows similarity to present-day reference populations, not the historical territory of this ancient group. Genetic similarity alone does not establish direct descent.
In the World Genetics modern G25 comparison, the closest non-self match for Irkutsk ENMN Stepno-Baltaiskii is Khamnegan. Other nearby references include Dukha, Buryat Zakamensky, Buryat Aginsky, and Buryat Khorinsky. This gives the Irkutsk ENMN Stepno-Baltaiskii profile its nearest modern genetic context inside the current reference database.
| Target: — | Distance |
|---|
The ancestral breakdown below loads the best-fitting World Genetics calculator for the Irkutsk ENMN Stepno-Baltaiskii average. It should be read as a model of deep ancestry components, while the closest-match table is the better guide to which modern populations are most similar in G25 space.
The heatmap gives the Irkutsk ENMN Stepno-Baltaiskii profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the Irkutsk ENMN Stepno-Baltaiskii average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Khamnegan. Other nearby references include Dukha, Buryat Zakamensky, Buryat Aginsky, and Buryat Khorinsky.
In the current modern G25 reference set, Khamnegan is the closest listed match to the Irkutsk ENMN Stepno-Baltaiskii average after removing Irkutsk ENMN Stepno-Baltaiskii itself from the table.
The heatmap shows where modern reference populations are closer or farther from the Irkutsk ENMN Stepno-Baltaiskii G25 average, giving the closest-match results a geographic view.
