Explore the ancient reference China Sichuan LN Baodun Gaoshan, its closest modern genetic matches, ancestry models, and genetic distance heatmap.
China Sichuan LN Baodun Gaoshan 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 China Sichuan LN Baodun Gaoshan is Tibetan Yajiang. Other nearby references include Pumi, Qiang Sichuan Garze Daofu, Tibetan Chamdo, and Nyishi. This gives the China Sichuan LN Baodun Gaoshan 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 China Sichuan LN Baodun Gaoshan 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 China Sichuan LN Baodun Gaoshan profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the China Sichuan LN Baodun Gaoshan average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Tibetan Yajiang. Other nearby references include Pumi, Qiang Sichuan Garze Daofu, Tibetan Chamdo, and Nyishi.
In the current modern G25 reference set, Tibetan Yajiang is the closest listed match to the China Sichuan LN Baodun Gaoshan average after removing China Sichuan LN Baodun Gaoshan itself from the table.
The heatmap shows where modern reference populations are closer or farther from the China Sichuan LN Baodun Gaoshan G25 average, giving the closest-match results a geographic view.
