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Dense sampling of ethnic groups within African countries reveals fine-scale genetic structure and extensive historical admixture

  • Nancy Bird
  • , Louise Ormond
  • , Paschal Awah
  • , Elizabeth F. Caldwell
  • , Bruce Connell
  • , Mohamed Elamin
  • , Faisal M. Fadlelmola
  • , Forka Leypey Matthew Fomine
  • , Saioa López
  • , Scott MacEachern
  • , Yves Moñino
  • , Sam Morris
  • , Pieta Näsänen-Gilmore
  • , Nana Kobina V. Nketsia
  • , Krishna Veeramah
  • , Michael E. Weale
  • , David Zeitlyn
  • , Mark G. Thomas
  • , Neil Bradman
  • , Garrett Hellenthal
  • University College London
  • Université de Yaoundé I
  • Lancaster University
  • York University Toronto
  • University Hospital of Derby
  • Kush Centre for Genomics and Biomedical Informatics
  • University of Buea
  • Wellcome Trust
  • Duke Kunshan University
  • CNRS
  • University of Oxford
  • Tampere University
  • National Institute for Health and Welfare
  • Essikado Traditional Council
  • Genomics
  • Henry Stewart Group

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Previous studies have highlighted how African genomes have been shaped by a complex series of historical events. Despite this, genome-wide data have only been obtained from a small proportion of present-day ethnolinguistic groups. By analyzing new autosomal genetic variation data of 1333 individuals from over 150 ethnic groups from Cameroon, Republic of the Congo, Ghana, Nigeria, and Sudan, we demonstrate a previously underappreciated fine-scale level of genetic structure within these countries, for example, correlating with historical polities in western Cameroon. By comparing genetic variation patterns among populations, we infer that many northern Cameroonian and Sudanese groups share genetic links with multiple geographically disparate populations, likely resulting from long-distance migrations. In Ghana and Nigeria, we infer signatures of intermixing dated to over 2000 years ago, corresponding to reports of environmental transformations possibly related to climate change. We also infer recent intermixing signals in multiple African populations, including Congolese, that likely relate to the expansions of Bantu language–speaking peoples.

Original languageEnglish
Article numbereabq2616
JournalScience Advances
Volume9
Issue number13
DOIs
StatePublished - Mar 2023

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