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High-depth African genomes inform human migration and health.
Choudhury, Ananyo; Aron, Shaun; Botigué, Laura R; Sengupta, Dhriti; Botha, Gerrit; Bensellak, Taoufik; Wells, Gordon; Kumuthini, Judit; Shriner, Daniel; Fakim, Yasmina J; Ghoorah, Anisah W; Dareng, Eileen; Odia, Trust; Falola, Oluwadamilare; Adebiyi, Ezekiel; Hazelhurst, Scott; Mazandu, Gaston; Nyangiri, Oscar A; Mbiyavanga, Mamana; Benkahla, Alia; Kassim, Samar K; Mulder, Nicola; Adebamowo, Sally N; Chimusa, Emile R; Muzny, Donna; Metcalf, Ginger; Gibbs, Richard A; Rotimi, Charles; Ramsay, Michèle; Adeyemo, Adebowale A; Lombard, Zané; Hanchard, Neil A.
Afiliación
  • Choudhury A; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Aron S; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Botigué LR; Center for Research in Agricultural Genomics (CRAG), Plant and Animal Genomics Program, CSIC-IRTA-UAB-UB, Barcelona, Spain.
  • Sengupta D; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Botha G; Computational Biology Division and H3ABioNet, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa.
  • Bensellak T; System and Data Engineering Team, Abdelmalek Essaadi University, ENSA, Tangier, Morocco.
  • Wells G; Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa.
  • Kumuthini J; South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.
  • Shriner D; Africa Health Research Institute, Durban, South Africa.
  • Fakim YJ; Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa.
  • Ghoorah AW; South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.
  • Dareng E; Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Odia T; Department of Agriculture and Food Science, Faculty of Agriculture, University of Mauritius, Reduit, Mauritius.
  • Falola O; Department of Digital Technologies,Faculty of Information, Communication & Digital Technologies, University of Mauritius, Reduit, Mauritius.
  • Adebiyi E; Department of Digital Technologies,Faculty of Information, Communication & Digital Technologies, University of Mauritius, Reduit, Mauritius.
  • Hazelhurst S; Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Mazandu G; Institute of Human Virology Nigeria, Abuja, Nigeria.
  • Nyangiri OA; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
  • Mbiyavanga M; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
  • Benkahla A; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
  • Kassim SK; Department of Computer and Information Sciences, Covenant University, Ota, Nigeria.
  • Mulder N; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Adebamowo SN; School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa.
  • Chimusa ER; Computational Biology Division and H3ABioNet, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa.
  • Muzny D; College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
  • Metcalf G; Computational Biology Division and H3ABioNet, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa.
  • Gibbs RA; Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Institute Pasteur of Tunis, Tunis, Tunisia.
  • Rotimi C; Computational Biology Division and H3ABioNet, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa.
  • Ramsay M; Department of Epidemiology and Public Health, University of Maryland School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA.
  • Adeyemo AA; Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, Institute for Infectious, Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
  • Lombard Z; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Hanchard NA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Nature ; 586(7831): 741-748, 2020 10.
Article en En | MEDLINE | ID: mdl-33116287
ABSTRACT
The African continent is regarded as the cradle of modern humans and African genomes contain more genetic variation than those from any other continent, yet only a fraction of the genetic diversity among African individuals has been surveyed1. Here we performed whole-genome sequencing analyses of 426 individuals-comprising 50 ethnolinguistic groups, including previously unsampled populations-to explore the breadth of genomic diversity across Africa. We uncovered more than 3 million previously undescribed variants, most of which were found among individuals from newly sampled ethnolinguistic groups, as well as 62 previously unreported loci that are under strong selection, which were predominantly found in genes that are involved in viral immunity, DNA repair and metabolism. We observed complex patterns of ancestral admixture and putative-damaging and novel variation, both within and between populations, alongside evidence that Zambia was a likely intermediate site along the routes of expansion of Bantu-speaking populations. Pathogenic variants in genes that are currently characterized as medically relevant were uncommon-but in other genes, variants denoted as 'likely pathogenic' in the ClinVar database were commonly observed. Collectively, these findings refine our current understanding of continental migration, identify gene flow and the response to human disease as strong drivers of genome-level population variation, and underscore the scientific imperative for a broader characterization of the genomic diversity of African individuals to understand human ancestry and improve health.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Variación Genética / Genoma Humano / Salud / Genómica / Migración Humana Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male País/Región como asunto: Africa Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Sudáfrica

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Variación Genética / Genoma Humano / Salud / Genómica / Migración Humana Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male País/Región como asunto: Africa Idioma: En Revista: Nature Año: 2020 Tipo del documento: Article País de afiliación: Sudáfrica
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