Evidence map›Paper›PMID 30263136›Full record

ArticleGlobal health, epidemiology and genomics2018

Genomics research in Africa and its impact on global health: insights from African researchers.

N S Munung, B M Mayosi, J de Vries

Open access · goldAbstract read
In one paragraph

Article in Global health, epidemiology and genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  10. Open science, data sharing and solidarity: who benefits?History and philosophy of the life sciences · 2021
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  18. Genomic Interventions in Medicine.Bioinformatics and biology insights · 2018
    Review
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

3 authors at 1 institution in 1 country.

N S MunungDepartment of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.ORCID 0000-0003-1498-3602
B M MayosiDepartment of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
J de VriesDepartment of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
University of Cape Town · ZA

Funding

Wellcome Trust
6 · The paper itself

Abstract

Africa may be heading for an era of genomics medicine. There are also expectations that genomics may play a role in reducing global health inequities. However, the near lack of genomics studies on African populations has led to concerns that genomics may widen, rather than close, the global health inequity gap. To prevent a possible genomics divide, the genomics 'revolution' has been extended to Africa. This is motivated, in part, by Africa's rich genetic diversity and high disease burden. What remains unclear, however, are the prospects of using genomics technology for healthcare in Africa. In this qualitative study, we explored the views of 17 genomics researchers in Africa on the prospects and challenges of genomics medicine in Africa. Interviewees were researchers in Africa who were involved in genomics research projects in Africa. Analysis of in-depth interviews suggest that genomics medicine may have an impact on disease surveillance, diagnosis, treatment and prevention. However, Africa's capacity for genomics medicine, current research priorities in genomics and the translation of research findings will be key defining factors impacting on the ability of genomics medicine to improve healthcare in Africa.

Indexed as

Africagenomics medicinegenomics researchglobal health equity

Identifiers

PMID30263136
PMCPMC6152488
OpenAlexW2808160274

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.