A focused population profile of Khas Brahmin (Bahun) Nepal, with modern genetic matches, ancestry modeling, and a World Genetics G25 heatmap.
Khas Brahmin (Bahun) Nepal is included in the World Genetics modern G25 database as a reference population. This page uses that reference average to compare Khas Brahmin (Bahun) Nepal 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 Khas Brahmin Nepal.
In the World Genetics modern G25 comparison, the closest non-self match for Khas Brahmin (Bahun) Nepal is Kumaoni Brahmin. Other nearby references include Himachali Brahmin Kangra, Pashtun India Madhya Pradesh, Bihari Brahmin Bhumihar, and Bhojpuri Brahmin Saryupareen. This gives the Khas Brahmin (Bahun) Nepal 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 Khas Brahmin (Bahun) Nepal 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 Khas Brahmin (Bahun) Nepal profile a geographic shape. Warmer areas mark regions where available modern reference populations sit closer to the Khas Brahmin (Bahun) Nepal average, while cooler areas represent more distant matches.
The closest non-self match in this World Genetics comparison is Kumaoni Brahmin. Other nearby references include Himachali Brahmin Kangra, Pashtun India Madhya Pradesh, Bihari Brahmin Bhumihar, and Bhojpuri Brahmin Saryupareen.
In the current modern G25 reference set, Kumaoni Brahmin is the closest listed match to the Khas Brahmin (Bahun) Nepal average after removing Khas Brahmin (Bahun) Nepal itself from the table.
The heatmap shows where modern reference populations are closer or farther from the Khas Brahmin (Bahun) Nepal G25 average, giving the closest-match results a geographic view.
