Temporal population Structure, a genetic dating method for ancient Eurasian genomes from the past 10 000 years

Sara Behnamian; Umberto Esposito; Grace Holland; Ghadeer Alshehab; Ann M. Dobre; Mehdi Pirooznia; Conrad S Brimacombe; Eran Elhaik

doi:10.1016/j.crmeth.2022.100270

Temporal population Structure, a genetic dating method for ancient Eurasian genomes from the past 10 000 years

Sara Behnamian, Umberto Esposito, Grace Holland, Ghadeer Alshehab, Ann M. Dobre, Mehdi Pirooznia, Conrad S Brimacombe, Eran Elhaik

Department of Anthropology and Archaeology

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

Accurate dating is essential to the interpretation of paleogenomic data. The gold standard method in archeology is radiocarbon dating. However, a major limitation of radiocarbon dating is the high amount of collagen extraction involved in the process. Consequently, almost half of all published ancient genomes lack reliable and direct dates, which results in obscure and contradictory reports. Here, we present the temporal population structure (TPS), a machine learning-based genomic dating method for genomes ranging from the fringes of the Late Mesolithic to modern times.

Original language	English
Article number	100270
Journal	Cell Reports Methods
Volume	2
Issue number	8
Early online date	22 Aug 2022
DOIs	https://doi.org/10.1016/j.crmeth.2022.100270
Publication status	E-pub ahead of print - 22 Aug 2022

Bibliographical note

Funding Information:
This work was partially supported by the EPSRC Doctoral Training Partnership Grant EP/N509735/1 to U.E. and by the MRC ( MR/R025126/1 ), the Crafoord Foundation , the Swedish Research Council ( 2020-03485 ), and the Erik Philip-Sörensen Foundation ( G2020-011 ) awards to E.E. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Lund, partially funded by the Swedish Research Council through grant agreement no. 2018-05973 .

Publisher Copyright:
© 2022 The Authors

Keywords

Ancient DNA
Archaeological Dating

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title = "Temporal population Structure, a genetic dating method for ancient Eurasian genomes from the past 10 000 years",

abstract = "Accurate dating is essential to the interpretation of paleogenomic data. The gold standard method in archeology is radiocarbon dating. However, a major limitation of radiocarbon dating is the high amount of collagen extraction involved in the process. Consequently, almost half of all published ancient genomes lack reliable and direct dates, which results in obscure and contradictory reports. Here, we present the temporal population structure (TPS), a machine learning-based genomic dating method for genomes ranging from the fringes of the Late Mesolithic to modern times.",

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note = "Funding Information: This work was partially supported by the EPSRC Doctoral Training Partnership Grant EP/N509735/1 to U.E. and by the MRC ( MR/R025126/1 ), the Crafoord Foundation , the Swedish Research Council ( 2020-03485 ), and the Erik Philip-S{\"o}rensen Foundation ( G2020-011 ) awards to E.E. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Lund, partially funded by the Swedish Research Council through grant agreement no. 2018-05973 . Publisher Copyright: {\textcopyright} 2022 The Authors",

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AU - Behnamian, Sara

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AU - Holland, Grace

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AU - Dobre, Ann M.

AU - Pirooznia, Mehdi

AU - Brimacombe, Conrad S

AU - Elhaik, Eran

N1 - Funding Information: This work was partially supported by the EPSRC Doctoral Training Partnership Grant EP/N509735/1 to U.E. and by the MRC ( MR/R025126/1 ), the Crafoord Foundation , the Swedish Research Council ( 2020-03485 ), and the Erik Philip-Sörensen Foundation ( G2020-011 ) awards to E.E. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Lund, partially funded by the Swedish Research Council through grant agreement no. 2018-05973 . Publisher Copyright: © 2022 The Authors

PY - 2022/8/22

Y1 - 2022/8/22

N2 - Accurate dating is essential to the interpretation of paleogenomic data. The gold standard method in archeology is radiocarbon dating. However, a major limitation of radiocarbon dating is the high amount of collagen extraction involved in the process. Consequently, almost half of all published ancient genomes lack reliable and direct dates, which results in obscure and contradictory reports. Here, we present the temporal population structure (TPS), a machine learning-based genomic dating method for genomes ranging from the fringes of the Late Mesolithic to modern times.

AB - Accurate dating is essential to the interpretation of paleogenomic data. The gold standard method in archeology is radiocarbon dating. However, a major limitation of radiocarbon dating is the high amount of collagen extraction involved in the process. Consequently, almost half of all published ancient genomes lack reliable and direct dates, which results in obscure and contradictory reports. Here, we present the temporal population structure (TPS), a machine learning-based genomic dating method for genomes ranging from the fringes of the Late Mesolithic to modern times.

KW - Ancient DNA

KW - Archaeological Dating

U2 - 10.1016/j.crmeth.2022.100270

DO - 10.1016/j.crmeth.2022.100270

M3 - Article (Academic Journal)

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ER -

Temporal population Structure, a genetic dating method for ancient Eurasian genomes from the past 10 000 years

Abstract

Bibliographical note

Keywords

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