Explore the ancient reference France Mesolithic Hoedic, its closest modern genetic matches, ancestry models, and genetic distance heatmap.
France Mesolithic Hoedic 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 France Mesolithic Hoedic is Lithuanian North Žemaitija. Other nearby references include Lithuanian West Žemaitija, Estonian, Lithuanian South Žemaitija, and Lithuanian. This gives the France Mesolithic Hoedic 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 France Mesolithic Hoedic 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 France Mesolithic Hoedic profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the France Mesolithic Hoedic average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Lithuanian North Žemaitija. Other nearby references include Lithuanian West Žemaitija, Estonian, Lithuanian South Žemaitija, and Lithuanian.
In the current modern G25 reference set, Lithuanian North Žemaitija is the closest listed match to the France Mesolithic Hoedic average after removing France Mesolithic Hoedic itself from the table.
The heatmap shows where modern reference populations are closer or farther from the France Mesolithic Hoedic G25 average, giving the closest-match results a geographic view.
