Evidence map›Paper›PMID 33828095›Full record

ArticleNature communications2021

Genetic substructure and complex demographic history of South African Bantu speakers.

Dhriti Sengupta, Ananyo Choudhury, Cesar Fortes-Lima, Shaun Aron, Gavin Whitelaw, Koen Bostoen, Hilde Gunnink, Natalia Chousou-Polydouri, Peter Delius, Stephen Tollman and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Dhriti Sengupta *Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Ananyo Choudhury *Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0001-8225-9531
Cesar Fortes-LimaHuman Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-8972-3357
Shaun AronSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Gavin WhitelawKwaZulu-Natal Museum, Pietermaritzburg, South Africa.ORCID http://orcid.org/0000-0003-1638-7222
Koen BostoenUGent Centre for Bantu Studies, Department of Languages and Cultures, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0003-2284-6165
Hilde GunninkUGent Centre for Bantu Studies, Department of Languages and Cultures, Ghent University, Ghent, Belgium.
Natalia Chousou-PolydouriDepartment of Comparative Linguistic Science and Center for the Interdisciplinary Study of Language Evolution, University of Zürich, Zürich, Switzerland.
Peter DeliusDepartment of History, University of the Witwatersrand, Johannesburg, South Africa.
Stephen TollmanMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0003-0744-7588
F Xavier Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Shane NorrisMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0001-7124-3788
Felistas MashinyaDepartment of Pathology and Medical Sciences; School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa.ORCID http://orcid.org/0000-0002-4132-7558
Marianne AlbertsDepartment of Pathology and Medical Sciences; School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa.
AWI-Gen Study
H3Africa Consortium
Scott HazelhurstSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0002-0581-149X
Carina M SchlebuschHuman Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-8160-9621
Michèle RamsaySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Michele.Ramsay@wits.ac.za.ORCID http://orcid.org/0000-0002-4156-4801

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938Wellcome TrustWellcome Trust 058893/Z/99/AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/B/08/ZWellcome Trust 085477/Z/08/Z
6 · The paper itself

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.

Indexed as

DemographyGene FlowGenome-Wide Association StudyLanguageBlack PeopleChromosomes, Human, YEthnicityFemaleGene FrequencyGenetics, PopulationGenetic VariationGenomicsGeographyHaplotypesHumansLinguistics

Identifiers

PMID33828095
PMCPMC8027885

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.