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Admixture into and within sub-Saharan Africa

View ORCID ProfileGeorge Busby, Gavin Band, Quang Si Le, Muminatou Jallow, Edith Bougama, Valentina Mangano, Lucas Amenga-Etego, Anthony Emil, Tobias Apinjoh, Carolyne Ndila, Alphaxard Manjurano, Vysaul Nyirongo, Ogobara Doumbo, Kirk Rockett, Domnic Kwiatkowski, Chris Spencer, The Malaria Genomic Epidemiology Network
doi: https://doi.org/10.1101/038406
George Busby
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK;
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  • ORCID record for George Busby
Gavin Band
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK;
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Quang Si Le
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK;
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Muminatou Jallow
Medical Research Council Unit, The Gambia;
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Edith Bougama
Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso;
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Valentina Mangano
Dipartimento di Sanita Publica e Malattie Infettive, University of Rome La Sapienza, Rome, Italy;
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Lucas Amenga-Etego
Navrongo Health Research Centre, Navrongo, Ghana;
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Anthony Emil
omfo Anokye Teaching Hospital, Kumasi, Ghana;
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Tobias Apinjoh
Department of Biochemistry and Molecular Biology, University of Buea, Buea, Cameroon;
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Carolyne Ndila
KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya;
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Alphaxard Manjurano
Joint Malaria Programme, Kilimanjaro Christian Medical Centre, Moshi, Tanzania;
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Vysaul Nyirongo
Malawi-Liverpool Wellcome Trust Clinical Research Programme, College of Medicine, University of Mala;
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Ogobara Doumbo
Malaria Research and Training Centre, Faculty of Medicine, University of Bamako, Bamako, Mali
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Kirk Rockett
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK;
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Domnic Kwiatkowski
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK;
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Chris Spencer
Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK;
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  • For correspondence: spencer@well.ox.ac.uk
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Abstract

Understanding patterns of genetic diversity is a crucial component of medical research in Africa. Here we use haplotype-based population genetics inference to describe gene-flow and admixture in a collection of 48 African groups with a focus on the major populations of the sub-Sahara. Our analysis presents a framework for interpreting haplotype diversity within and between population groups and provides a demographic foundation for genetic epidemiology in Africa. We show that coastal African populations have experienced an influx of Eurasian haplotypes as a series of admixture events over the last 7,000 years, and that Niger-Congo speaking groups from East and Southern Africa share ancestry with Central West Africans as a result of recent population expansions associated with the adoption of new agricultural technologies. We demonstrate that most sub-Saharan populations share ancestry with groups from outside of their current geographic region as a result of large-scale population movements over the last 4,000 years. Our in-depth analysis of admixture provides an insight into haplotype sharing across different geographic groups and the recent movement of alleles into new climatic and pathogenic environments, both of which will aid the interpretation of genetic studies of disease in sub-Saharan Africa.

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  • Posted February 1, 2016.

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Admixture into and within sub-Saharan Africa
George Busby, Gavin Band, Quang Si Le, Muminatou Jallow, Edith Bougama, Valentina Mangano, Lucas Amenga-Etego, Anthony Emil, Tobias Apinjoh, Carolyne Ndila, Alphaxard Manjurano, Vysaul Nyirongo, Ogobara Doumbo, Kirk Rockett, Domnic Kwiatkowski, Chris Spencer, The Malaria Genomic Epidemiology Network
bioRxiv 038406; doi: https://doi.org/10.1101/038406
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Admixture into and within sub-Saharan Africa
George Busby, Gavin Band, Quang Si Le, Muminatou Jallow, Edith Bougama, Valentina Mangano, Lucas Amenga-Etego, Anthony Emil, Tobias Apinjoh, Carolyne Ndila, Alphaxard Manjurano, Vysaul Nyirongo, Ogobara Doumbo, Kirk Rockett, Domnic Kwiatkowski, Chris Spencer, The Malaria Genomic Epidemiology Network
bioRxiv 038406; doi: https://doi.org/10.1101/038406

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