Hidden in bones: Tracking the Hyksos across the Levant
Hidden in bones: Tracking the Hyksos across the Levant
Though the term Hyksos commonly refers to the rulers of the Egyptian Second Intermediate Period, it is also used to describe the larger population from which these rulers derived. Archaeological, artistic and textual sources suggest a Levantine origin of the ‘Hyksos people’; however, whether this was a single homogenous group or several groups from a wider area has remained uncertain.
Non-metric traits, also called epigenetic traits, are normal variations of the human skeleton. The traits, though seemingly random in a single person, often have a genetic component that links biologically closely related people together, enabling an exploration of biological affiliations not only within but also between populations.
As a non-invasive method, non-metric trait analysis can be used to study biological closeness when there is no wish or possibility to use DNA analysis. An increasing number of non-metric trait analyses is being conducted on human skeletal remains, creating trait distribution maps for a wider exploration of biological closeness. As part of the Hyksos Enigma Project, non-metric traits from human skeletal remains from Tell el-Dabʿa, the ancient Hyksos capital of Avaris, are recorded. The results help to understand familial relationships within the site but also compare the site and its subgroups to Levantine sites, potentially offering new insight into the Hyksos origin and the wider migration of people in the Levantine area.
dental traits, teeth, odontology, identity, egypt, bioarchaeology
339-352
Maaranen, Nina
6adcd01d-8455-4071-bcdf-a53253587bf2
Schutkowski, Holger
97605e77-bfc5-4424-9eca-75d5392ea7d2
Zakrzewski, Sonia
d80afd94-feff-4fe8-96e9-f3db79bba99d
1 December 2019
Maaranen, Nina
6adcd01d-8455-4071-bcdf-a53253587bf2
Schutkowski, Holger
97605e77-bfc5-4424-9eca-75d5392ea7d2
Zakrzewski, Sonia
d80afd94-feff-4fe8-96e9-f3db79bba99d
Maaranen, Nina, Schutkowski, Holger and Zakrzewski, Sonia
(2019)
Hidden in bones: Tracking the Hyksos across the Levant.
In,
Bietak, Manfred and Prell, Silvia
(eds.)
The Enigma of the Hyksos: Volume 1: ASOR Conference Boston 2017 - ICAANE Conference Munich 2018.
(Contributions to the Archaeology of Egypt, Nubia and the Levant)
Wiesbaden.
Harrassowitz Verlag, .
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Book Section
Abstract
Though the term Hyksos commonly refers to the rulers of the Egyptian Second Intermediate Period, it is also used to describe the larger population from which these rulers derived. Archaeological, artistic and textual sources suggest a Levantine origin of the ‘Hyksos people’; however, whether this was a single homogenous group or several groups from a wider area has remained uncertain.
Non-metric traits, also called epigenetic traits, are normal variations of the human skeleton. The traits, though seemingly random in a single person, often have a genetic component that links biologically closely related people together, enabling an exploration of biological affiliations not only within but also between populations.
As a non-invasive method, non-metric trait analysis can be used to study biological closeness when there is no wish or possibility to use DNA analysis. An increasing number of non-metric trait analyses is being conducted on human skeletal remains, creating trait distribution maps for a wider exploration of biological closeness. As part of the Hyksos Enigma Project, non-metric traits from human skeletal remains from Tell el-Dabʿa, the ancient Hyksos capital of Avaris, are recorded. The results help to understand familial relationships within the site but also compare the site and its subgroups to Levantine sites, potentially offering new insight into the Hyksos origin and the wider migration of people in the Levantine area.
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Published date: 1 December 2019
Keywords:
dental traits, teeth, odontology, identity, egypt, bioarchaeology
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Local EPrints ID: 436722
URI: http://eprints.soton.ac.uk/id/eprint/436722
PURE UUID: 281036e3-ef19-4fce-b73d-b972964eb31c
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Date deposited: 03 Jan 2020 11:03
Last modified: 17 Mar 2024 02:57
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Contributors
Author:
Nina Maaranen
Author:
Holger Schutkowski
Editor:
Manfred Bietak
Editor:
Silvia Prell
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