Whole-genome sequencing for an enhanced understanding of genetic variation among South Africans

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dc.contributor.author Choudhury, Ananyo
dc.contributor.author Ramsay, Michele
dc.contributor.author Hazelhurst, Scott
dc.contributor.author Aron, Shaun
dc.contributor.author Bardien, Soraya
dc.contributor.author Botha, Gerrit
dc.contributor.author Chimusa, Emile R.
dc.contributor.author Christoffels, Alan
dc.contributor.author Gamieldien, Junaid
dc.contributor.author Sefid-Dashti, Mahjoubeh J.
dc.contributor.author Joubert, Fourie
dc.contributor.author Meintjes, Ayton
dc.contributor.author Mulder, Nicola
dc.contributor.author Ramesar, Raj
dc.contributor.author Rees, Jasper
dc.contributor.author Scholtz, Kathrine
dc.contributor.author Sengupta, Dhriti
dc.contributor.author Soodyall, Himla
dc.contributor.author Venter, Philip
dc.contributor.author Warnich, Louise
dc.contributor.author Pepper, Michael Sean
dc.date.accessioned 2018-08-16T08:35:15Z
dc.date.available 2018-08-16T08:35:15Z
dc.date.issued 2017-12-12
dc.description M.R. and M.S.P. co-lead the SAHGP initiative, and the project was designed and coordinated by the core working group including M.R., M.S.P., S.B., H.S., R.R., J.R., K.S., P.V., N.M., F.J., S.H., and L.V. M.R. and H.S. obtained ethics approval for the study. The data analysis team was led by S.H. (PCA; STRUCTURE and Y chromosome analysis) and included A.C. (novel SNV characterization, LOF variant, f2, FST, SFS, and ROH analysis), N.M. (functional analysis), F.J. (variant calling), S.A. (variant calling), G.B. (functional annotation and data curation), E.R.C. (admixture), J.G. (functional annotation), M.J.S.D. (functional annotation), A.M. (functional annotation, SNV characterization, data curation, and mtDNA analysis), and D.S. (regional FST analysis, data visualization). All authors wrote the Methods section and notes on their analyses. M.R. and A.C. drafted the manuscript, and A.C. was responsible for coordinating Tables and Figures (including the Supplement). en_ZA
dc.description.abstract The Southern African Human Genome Programme is a national initiative that aspires to unlock the unique genetic character of southern African populations for a better understanding of human genetic diversity. In this pilot study the Southern African Human Genome Programme characterizes the genomes of 24 individuals (8 Coloured and 16 black southeastern Bantu-speakers) using deep whole-genome sequencing. A total of ~16 million unique variants are identified. Despite the shallow time depth since divergence between the two main southeastern Bantu-speaking groups (Nguni and Sotho-Tswana), principal component analysis and structure analysis reveal significant (p < 10−6) differentiation, and FST analysis identifies regions with high divergence. The Coloured individuals show evidence of varying proportions of admixture with Khoesan, Bantu-speakers, Europeans, and populations from the Indian sub-continent. Whole-genome sequencing data reveal extensive genomic diversity, increasing our understanding of the complex and region-specific history of African populations and highlighting its potential impact on biomedical research and genetic susceptibility to disease. en_ZA
dc.description.department Biochemistry en_ZA
dc.description.department Immunology en_ZA
dc.description.librarian am2018 en_ZA
dc.description.sponsorship The South African National Department of Science and Technology for funding this initiative under the umbrella of the Southern African Human Genome Programme (SAHGP). A.C. was supported by the AWI-Gen Collaborative Centre funded by the NIH (1U54HG006938) as part of the H3Africa Consortium. M.R. is a South African Research Chair in Genomics and Bioinformatics of African populations hosted by the University of the Witwatersrand, funded by the Department of Science and Technology and administered by National Research Foundation of South Africa (N.R.F.). M.S.P. was funded by the South African Medical Research Council (Flagship and Stem Cell Extramural Unit awards) and the Institute for Cellular and Molecular Medicine (University of Pretoria). N.M. and S.A. were supported by the H3ABioNet NIH grant (U41HG006941). en_ZA
dc.description.uri http://www.nature.com/ncomms en_ZA
dc.identifier.citation Choudhury, A., Ramsay, M., Hazelhurst, S. et al. 2017, 'Whole-genome sequencing for an enhanced understanding of genetic variation among South Africans', Nature Communications, vol. 8, pp. 1-12. en_ZA
dc.identifier.issn 2041-1723 (online)
dc.identifier.other 10.1038/s41467-017-00663-9
dc.identifier.uri http://hdl.handle.net/2263/66169
dc.language.iso en en_ZA
dc.publisher Nature Publishing Group en_ZA
dc.rights © 2017 [Choudhury et al.] This is an open-access article distributed under the terms of the Creative Commons Attribution License 4.0. en_ZA
dc.subject Whole-genome sequencing (WGS) en_ZA
dc.subject Genetic variation en_ZA
dc.subject Human genetic diversity en_ZA
dc.subject Southern African population en_ZA
dc.title Whole-genome sequencing for an enhanced understanding of genetic variation among South Africans en_ZA
dc.type Article en_ZA


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