Evidence map›Paper›PMID 24059264›Full record

ArticleBMC genomics2013

Genetic diversity in black South Africans from Soweto.

Andrew May, Scott Hazelhurst, Yali Li, Shane A Norris, Nimmisha Govind, Mohammed Tikly, Claudia Hon, Keith J Johnson, Nicole Hartmann, Frank Staedtler and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

29 citing papers in PubMed, 61 citations in OpenAlex.

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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

11 authors at 5 institutions in 3 countries.

Andrew MayDivision of Human Genetics, School of Pathology, University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa. michele.ramsay@nhls.ac.za.
Scott Hazelhurst
Yali Li
Shane A Norris
Nimmisha Govind
Mohammed Tikly
Claudia Hon
Keith J Johnson
Nicole Hartmann
Frank Staedtler
Michèle Ramsay
University of the Witwatersrand · ZAGenomics Institute of the Novartis Research Foundation · USNovartis Institutes for BioMedical ResearchChris Hani Baragwanath Hospital · ZANational Health Laboratory Service · ZA

Funding

Medical Research Council G1001333Wellcome Trust
6 · The paper itself

Abstract

backgroundDue to the unparalleled genetic diversity of its peoples, Africa is attracting growing research attention. Several African populations have been assessed in global initiatives such as the International HapMap and 1000 Genomes Projects. Notably excluded, however, is the southern Africa region, which is inhabited predominantly by southeastern Bantu-speakers, currently suffering under the dual burden of infectious and non-communicable diseases. Limited reference data for these individuals hampers medical research and prevents thorough understanding of the underlying population substructure. Here, we present the most detailed exploration, to date, of genetic diversity in 94 unrelated southeastern Bantu-speaking South Africans, resident in urban Soweto (Johannesburg).

resultsParticipants were typed for ~4.3 million SNPs using the Illumina Omni5 beadchip. PCA and ADMIXTURE plots were used to compare the observed variation with that seen in selected populations worldwide. Results indicated that Sowetans, and other southeastern Bantu-speakers, are a clearly distinct group from other African populations previously investigated, reflecting a unique genetic history with small, but significant contributions from diverse sources. To assess the suitability of our sample as representative of Sowetans, we compared our results to participants in a larger rheumatoid arthritis case-control study. The control group showed good clustering with our sample, but among the cases were individuals who demonstrated notable admixture.

conclusionsSowetan population structure appears unique compared to other black Africans, and may have clinical implications. Our data represent a suitable reference set for southeastern Bantu-speakers, on par with a HapMap type reference population, and constitute a prelude to the Southern African Human Genome Programme.

Indexed as

Genetics, PopulationPolymorphism, Single NucleotideBlack PeopleFemaleGenotyping TechniquesHumansMalePrincipal Component AnalysisSouth Africa

Identifiers

PMID24059264
PMCPMC3850641
OpenAlexW1983425639

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.