Explore the ancient reference Yemen Socotra Early Medieval, its closest modern genetic matches, ancestry models, and genetic distance heatmap.
Yemen Socotra Early Medieval 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 Yemen Socotra Early Medieval is Yemeni Arab Al Jawf. Other nearby references include Saudi Arab, Yemeni Arab Hadramaut, Bedouin Jordan, and Saudi Arab Najd. This gives the Yemen Socotra Early Medieval 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 Yemen Socotra Early Medieval 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 Yemen Socotra Early Medieval profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the Yemen Socotra Early Medieval average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Yemeni Arab Al Jawf. Other nearby references include Saudi Arab, Yemeni Arab Hadramaut, Bedouin Jordan, and Saudi Arab Najd.
In the current modern G25 reference set, Yemeni Arab Al Jawf is the closest listed match to the Yemen Socotra Early Medieval average after removing Yemen Socotra Early Medieval itself from the table.
The heatmap shows where modern reference populations are closer or farther from the Yemen Socotra Early Medieval G25 average, giving the closest-match results a geographic view.
