Evidence map›Paper›PMID 25962947›Full record

ReviewCardiovascular journal of Africa

Stroke genomics in people of African ancestry: charting new paths.

R O Akinyemi, B Ovbiagele, A Akpalu, C Jenkins, K Sagoe, L Owolabi, F Sarfo, R Obiako, M Gebreziabher, E Melikam and 9 more

Open access · greenAbstract readReview
In one paragraph

Review in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
4.2field-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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Heritability for stroke: Essential for taking family history.Caspian journal of internal medicine · 2020
    Review
  15. Article
  16. Review
  17. Knowledge, attitudes and practices of West Africans on genetic studies of stroke: Evidence from the SIREN Study.International journal of stroke : official journal of the International Stroke Society · 2019
    Article
  18. Article
  19. Article
  20. New approaches to genetic predisposition for hemorrhagic stroke in sickle cell disease.Journal of clinical hypertension (Greenwich, Conn.) · 2018
    Article
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 at 7 institutions in 4 countries.

R O AkinyemiDivision of Neurology, Federal Medical Centre Abeokuta, Nigeria; Institute of Neuroscience, Newcastle University, UK.
B OvbiageleDepartment of Neurosciences, Medical University of South Carolina, USA.
A AkpaluCollege of Health Sciences, University of Ghana, Accra, Ghana.
C Jenkins
K SagoeCollege of Health Sciences, University of Ghana, Accra, Ghana.
L OwolabiDepartment of Medicine, Bayero University, Kano, Nigeria.
F SarfoSchool of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
R ObiakoDepartment of Medicine, Ahmadu Bello University, Zaria, Nigeria.
M GebreziabherDepartment of Neurosciences, Medical University of South Carolina, USA.
E MelikamCollege of Medicine, University of Ibadan, Ibadan, Nigeria.
S WarthDepartment of Neurosciences, Medical University of South Carolina, USA.
O ArulogunCollege of Medicine, University of Ibadan, Ibadan, Nigeria.
D LacklandDepartment of Neurosciences, Medical University of South Carolina, USA.
A OgunniyiCollege of Medicine, University of Ibadan, Ibadan, Nigeria.
H TiwariDepartment of Public Health, University of Alabama at Birmingham, USA.
R N KalariaInstitute of Neuroscience, Newcastle University, UK.
D ArnettDepartment of Public Health, University of Alabama at Birmingham, USA.
M O OwolabiCollege of Medicine, University of Ibadan, Ibadan, Nigeria.
SIREN Investigators as Members of the H3Africa Consortium
Medical University of South Carolina · USUniversity of Ibadan · NGUniversity of Ghana · GHAhmadu Bello University · NGBayero University Kano · NGKwame Nkrumah University of Science and Technology · GHNewcastle University · GB

Funding

Stroke Investigative Research & Educational Network (SIREN)U54HG007479 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2013 to 2017
$4.2M
NHGRI NIH HHS NIH U54HG007479-01NHGRI NIH HHS U54 HG007479
6 · The paper itself

Abstract

One in six people worldwide will experience a stroke in his/her lifetime. While people in Africa carry a disproportionately higher burden of poor stroke outcomes, compared to the rest of the world, the exact contribution of genomic factors to this disparity is unknown. Despite noteworthy research into stroke genomics, studies exploring the genetic contribution to stroke among populations of African ancestry in the United States are few. Furthermore, genomics data in populations living in Africa are lacking. The wide genomic variation of African populations offers a unique opportunity to identify genomic variants with causal relationships to stroke across different ethnic groups. The Stroke Investigative Research and Educational Network (SIREN), a component of the Human Health and Heredity in Africa (H3Africa) Consortium, aims to explore genomic and environmental risk factors for stroke in populations of African ancestry in West Africa and the United States. In this article, we review the literature on the genomics of stroke with particular emphasis on populations of African origin.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsAfricaBlack PeopleHumansRisk FactorsStroke

Identifiers

PMID25962947
PMCPMC4557488
OpenAlexW223973505

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.