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Genetic substructure and complex demographic history of South African Bantu speakers

Author

Listed:
  • Dhriti Sengupta

    (University of the Witwatersrand)

  • Ananyo Choudhury

    (University of the Witwatersrand)

  • Cesar Fortes-Lima

    (Uppsala University)

  • Shaun Aron

    (University of the Witwatersrand)

  • Gavin Whitelaw

    (KwaZulu-Natal Museum
    University of the Witwatersrand)

  • Koen Bostoen

    (Ghent University)

  • Hilde Gunnink

    (Ghent University)

  • Natalia Chousou-Polydouri

    (University of Zürich)

  • Peter Delius

    (University of the Witwatersrand)

  • Stephen Tollman

    (University of the Witwatersrand)

  • F. Xavier Gómez-Olivé

    (University of the Witwatersrand)

  • Shane Norris

    (University of the Witwatersrand)

  • Felistas Mashinya

    (University of Limpopo)

  • Marianne Alberts

    (University of Limpopo)

  • Scott Hazelhurst

    (University of the Witwatersrand
    University of the Witwatersrand)

  • Carina M. Schlebusch

    (Uppsala University
    SciLifeLab
    University of Johannesburg)

  • Michèle Ramsay

    (University of the Witwatersrand
    University of the Witwatersrand)

Abstract

South Eastern Bantu-speaking (SEB) groups constitute more than 80% of the population in South Africa. Despite clear linguistic and geographic diversity, the genetic differences between these groups have not been systematically investigated. Based on genome-wide data of over 5000 individuals, representing eight major SEB groups, we provide strong evidence for fine-scale population structure that broadly aligns with geographic distribution and is also congruent with linguistic phylogeny (separation of Nguni, Sotho-Tswana and Tsonga speakers). Although differential Khoe-San admixture plays a key role, the structure persists after Khoe-San ancestry-masking. The timing of admixture, levels of sex-biased gene flow and population size dynamics also highlight differences in the demographic histories of individual groups. The comparisons with five Iron Age farmer genomes further support genetic continuity over ~400 years in certain regions of the country. Simulated trait genome-wide association studies further show that the observed population structure could have major implications for biomedical genomics research in South Africa.

Suggested Citation

  • Dhriti Sengupta & Ananyo Choudhury & Cesar Fortes-Lima & Shaun Aron & Gavin Whitelaw & Koen Bostoen & Hilde Gunnink & Natalia Chousou-Polydouri & Peter Delius & Stephen Tollman & F. Xavier Gómez-Olivé, 2021. "Genetic substructure and complex demographic history of South African Bantu speakers," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22207-y
    DOI: 10.1038/s41467-021-22207-y
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    Cited by:

    1. Surina Singh & Ananyo Choudhury & Scott Hazelhurst & Nigel J. Crowther & Palwendé R. Boua & Hermann Sorgho & Godfred Agongo & Engelbert A. Nonterah & Lisa K. Micklesfield & Shane A. Norris & Isaac Kis, 2023. "Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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