A focused population profile of Nisga'a (European-Mixed), with modern genetic matches, ancestry modeling, and a World Genetics G25 heatmap.
Nisga'a (European-Mixed) is included in the World Genetics modern G25 database as a reference population. This page uses that reference average to compare Nisga'a (European-Mixed) with other modern populations in the database.
The label should be read as a population reference name rather than a complete description of every individual, family, language, region, or community history connected with Nisga'a.
In the World Genetics modern G25 comparison, the closest non-self match for Nisga'a (European-Mixed) is Potawatomi (European-Mixed). Other nearby references include Blackfoot (European-Mixed), Iroquois (European-Mixed), Tsuut'ina (European-Mixed), and Kickapoo (European-Mixed). This gives the Nisga'a (European-Mixed) profile its nearest modern genetic context inside the current reference database.
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The ancestral breakdown below loads the best-fitting World Genetics calculator for the Nisga'a (European-Mixed) 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 Nisga'a (European-Mixed) profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the Nisga'a (European-Mixed) average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Potawatomi (European-Mixed). Other nearby references include Blackfoot (European-Mixed), Iroquois (European-Mixed), Tsuut'ina (European-Mixed), and Kickapoo (European-Mixed).
In the current modern G25 reference set, Potawatomi (European-Mixed) is the closest listed match to the Nisga'a (European-Mixed) average after removing Nisga'a (European-Mixed) itself from the table.
The heatmap shows where modern reference populations are closer or farther from the Nisga'a (European-Mixed) G25 average, giving the closest-match results a geographic view.
