Evidence map›Paper›PMID 29233967›Full record

ArticleNature communications2017

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

Ananyo Choudhury, Michèle Ramsay, Scott Hazelhurst, Shaun Aron, Soraya Bardien, Gerrit Botha, Emile R Chimusa, Alan Christoffels, Junaid Gamieldien, Mahjoubeh J Sefid-Dashti and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

76 citing papers in PubMed, 129 citations in OpenAlex.

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  16. Genetic Variation Study of Several Romanian Pepper (International journal of molecular sciences · 2024
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16 more citing papers are in PubMed but not listed here.

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

21 authors at 8 institutions in 1 country.

Ananyo ChoudhurySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Michèle RamsaySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa. Michele.ramsay@wits.ac.za.
Scott HazelhurstSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Shaun AronSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Soraya BardienDivision of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, 7505, South Africa.
Gerrit BothaComputational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, 7925, South Africa.
Emile R ChimusaDivision of Human Genetics, Department of Pathology, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa.
Alan ChristoffelsSouth African MRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, 7925, South Africa.
Junaid GamieldienSouth African MRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, 7925, South Africa.ORCID http://orcid.org/0000-0001-7614-1887
Mahjoubeh J Sefid-DashtiSouth African MRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, 7925, South Africa.
Fourie JoubertDepartment of Biochemistry and Genomics Research Institute, Centre for Bioinformatics and Computational Biology, University of Pretoria, Pretoria, 0083, South Africa.
Ayton MeintjesComputational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, 7925, South Africa.
Nicola MulderComputational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, 7925, South Africa.
Raj RamesarDivision of Human Genetics, Department of Pathology, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa.
Jasper ReesAgricultural Research Council, Pretoria, 0184, South Africa.
Kathrine ScholtzDepartment of Preclinical Sciences, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Mankweng, 0727, South Africa.
Dhriti SenguptaSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Himla SoodyallDivision of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2000, South Africa.
Philip VenterDepartment of Medical Sciences, School of Health Sciences, Faculty of Health Sciences, University of Limpopo, Mankweng, 0727, South Africa.
Louise WarnichDepartment of Genetics, Stellenbosch University, Stellenbosch, 7600, South Africa.
Michael S PepperInstitute for Cellular and Molecular Medicine, Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, 0084, South Africa. michael.pepper@up.ac.za.
University of Cape Town · ZAUniversity of the Witwatersrand · ZAUniversity of the Western Cape · ZAStellenbosch University · ZAUniversity of Limpopo · ZAUniversity of Pretoria · ZAAgricultural Research Council of South Africa · ZANational Health Laboratory Service · ZA

Funding

H3ABioNet: a sustainable African Bioinformatics Network for H3AfricaU41HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2012 to 2017
$14.8M
H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
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 U24 HG006941NHGRI NIH HHS U41 HG006941NHGRI NIH HHS U54 HG006938
6 · The paper itself

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

Indexed as

Genome, HumanBlack PeopleDNA Mutational AnalysisGenetic Predisposition to DiseaseGenetic VariationHealthy VolunteersHumansMaleMutationPilot ProjectsPrincipal Component AnalysisSouth Africa

Identifiers

PMID29233967
PMCPMC5727231
OpenAlexW2775465508

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.