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Research Publication

Ancient mitogenomes from Neolithic, megalithic and medieval burials suggest complex genetic history of Kashmir valley, India.

Aparna Dwivedi, Lomous Kumar, Snigdha Konar et al.

41068149 PubMed ID
12 Authors
2025-10-09 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AD
Aparna Dwivedi
LK
Lomous Kumar
SK
Snigdha Konar
NP
Nagarjuna Pasupuleti
SK
Sanjay Kumar Singh Gahlaud
RR
Richa Rajpal
MA
Mohammad Ajmal Shah
MA
Mumtaz A Yatoo
SK
Sachin Kumar
SK
Shiv Kumar Patel
NS
Ningombam Somorjit Singh
NR
Niraj Rai
Chapter II

Abstract

Summary of the research findings

South Asia is rich in cultural and genetic diversity; however, it is hardly represented in the blooming field of archaeogenetics. The Neolithic site of Burzahom is of high cultural value and archaeological importance and is one of the earliest human settlements in the Kashmir Valley with numerous evidence of migration and cultural assimilation. In our current study, we have reconstructed for the first time the complete mitogenomes of Neolithic, megalithic and medieval individuals from the Burzahom archaeological site in Kashmir. Our findings suggest that Neolithic and Megalithic periods were characterized by predominantly local genetic influence on the maternal gene pool, with some evidence of genetic contact with the Iron Age Swat Valley. While medieval populations showed clear signs of genetic contacts with Swat Valley historical and Central Asian Bronze age populations. Interestingly, Bayesian evolutionary analysis suggests an affinity of one of the medieval samples with a medieval sample from Roopkund Lake; the finding will be more conclusive with more sample evidence. In summary, we propose that the genetics of Neolithic, megalithic and medieval Kashmir agree well with the archaeological evidence of cultural contacts with the Swat Valley and Central Asia.

Chapter III

Analysis

Comprehensive review of ancestry and genetic findings

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Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context

Scientific Assessment