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Genetic Analysis of Multiple Burials from the Medieval Churchyard from the St. Peters Church of Old Cölln/Berlin

Kristin Rath, Jessica Rothe, Frederik Saulich et al.

5 Authors
2023-08-08 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KR
Kristin Rath
JR
Jessica Rothe
FS
Frederik Saulich
MN
Marion Nagy
CM
Claudia Maria Melisch
Chapter II

Abstract

Summary of the research findings

This article presents the genetic research results of selected multiple burials from one of the oldest medieval cemeteries in Berlin. Extensive excavations since 2007 have uncovered 3,121 graves containing 3,778 individuals at the former St. Peters churchyard in the city centre of the German capital Berlin. The use of the area as a cemetery started around 1150 and ended in 1717. The parish belonged to the medieval city of Cölln one of the two founding cores of Berlin. Among the found graves was a noticeably high amount (12%) of multiple burials. Eight selected grave complexes, which contained in total 17 individuals, were chosen that indicated some kind of relationship based on the arrangement of the bodies. Our main focus was to investigate the role of biological kinship in these medieval burial customs. Additionally we provide data about the genetic ancestry of all individuals as well as phenotyping predictions.

Chapter III

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of ancestry and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context