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Medieval social landscape through the genetic history of Cambridgeshire before and after the Black Death

Ruoyun Hui, Christiana L. Scheib, Eugenia D’Atanasio et al.

17 Authors
2023-03-06 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

RH
Ruoyun Hui
CL
Christiana L. Scheib
ED
Eugenia D’Atanasio
SA
Sarah A. Inskip
CC
Craig Cessford
SA
Simone A. Biagini
AW
Anthony W. Wohns
MQ
Muhammad Q.A. Ali
SJ
Samuel J. Griffith
AS
Anu Solnik
HN
Helja Niinemäe
XJ
Xiangyu Jack Ge
AK
Alice K. Rose
OB
Owyn Beneker
TC
Tamsin C. O’Connell
JE
John E. Robb
TK
Toomas Kivisild
Chapter II

Abstract

Summary of the research findings

The extent of the devastation of the Black Death pandemic (1346-53) on European populations is known from documentary sources and its bacterial source illuminated by studies of ancient pathogen DNA. What has remained less understood is the effect of the pandemic on human mobility and genetic diversity at local scale in the context of the social stratification of medieval communities. Here we study 275 newly reported ancient genomes from later medieval and post-medieval Cambridgeshire, from individuals buried before, during, and after the Black Death. The majority of individuals examined had local genetic ancestries. Consistent with the function of the institutions, we found a lack of close relatives among the friars and the inmates of the hospital in contrast to their abundance in general urban and rural parish communities. Accounting for the genetic component for height accentuates the disparities between social groups in stature estimated from long bones, as a proxy for health and the quality of life. While we detect long-term shifts in local genetic ancestry in Cambridgeshire that either pre- or postdate the Black Death, we find no evidence of major changes in genetic ancestry nor, in contrast to recent claims, higher differentiation of immune loci between cohorts living before and after the Black Death.

Chapter III

AI-Generated Summary

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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.

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