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

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)
34 Downloads (Pure)

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 languageEnglish
Article number100270
JournalCell Reports Methods
Volume2
Issue number8
Early online date22 Aug 2022
DOIs
Publication statusE-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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