Explore the ancient reference Korea EN Early Chulmun Changhang, its closest modern genetic matches, ancestry models, and genetic distance heatmap.
Korea EN Early Chulmun Changhang 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 Korea EN Early Chulmun Changhang is Japanese-Brazilian. Other nearby references include Japanese, Korean Jeju Island, Korean, and Korean Seoul. This gives the Korea EN Early Chulmun Changhang 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 Korea EN Early Chulmun Changhang 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 Korea EN Early Chulmun Changhang profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the Korea EN Early Chulmun Changhang average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Japanese-Brazilian. Other nearby references include Japanese, Korean Jeju Island, Korean, and Korean Seoul.
In the current modern G25 reference set, Japanese-Brazilian is the closest listed match to the Korea EN Early Chulmun Changhang average after removing Korea EN Early Chulmun Changhang itself from the table.
The heatmap shows where modern reference populations are closer or farther from the Korea EN Early Chulmun Changhang G25 average, giving the closest-match results a geographic view.
