Behnamian, S., Esposito, U., Holland, G. et al. (5 more authors) (2022) Temporal population structure, a genetic dating method for ancient Eurasian genomes from the past 10,000 years. Cell Reports Methods, 2 (8). 100270. ISSN 2667-2375
Abstract
Radiocarbon dating is the gold standard in archeology to estimate the age of skeletons, a key to studying their origins. Many published ancient genomes lack reliable and direct dates, which results in obscure and contradictory reports. We developed the temporal population structure (TPS), a DNA-based dating method for genomes ranging from the Late Mesolithic to today, and applied it to 3,591 ancient and 1,307 modern Eurasians. TPS predictions aligned with the known dates and correctly accounted for kin relationships. TPS dating of poorly dated Eurasian samples resolved conflicting reports in the literature, as illustrated by one test case. We also demonstrated how TPS improved the ability to study phenotypic traits over time. TPS can be used when radiocarbon dating is unfeasible or uncertain or to develop alternative hypotheses for samples younger than 10,000 years ago, a limitation that may be resolved over time as ancient data accumulate.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | genomics dating; ancient DNA; temporal population structure; TPS; genomic dating; paleogenomics; phenotypic traits; DNA-based dating method; radiocarbon dating; supervised learning; random forest regression |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > Department of Archaeology (Sheffield) |
Funding Information: | Funder Grant number MEDICAL RESEARCH COUNCIL MR/R025126/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Oct 2022 08:26 |
Last Modified: | 18 Oct 2022 08:26 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.crmeth.2022.100270 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:191906 |