Evidence map›Paper›PMID 24267432›Full record

ReviewProgress in cardiovascular diseases

Genetic epidemiology of type 2 diabetes and cardiovascular diseases in Africa.

Fasil Tekola-Ayele, Adebowale A Adeyemo, Charles N Rotimi

Abstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review.The Egyptian journal of medical human genetics · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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  19. Multi-ethnic minority nurses' knowledge and practice of genetics and genomics.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2014
    Article
  20. 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

3 authors.

Fasil Tekola-AyeleCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Adebowale A Adeyemo
Charles N Rotimi

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
Genetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7M
Intramural NIH HHS Z01 HG200362Intramural NIH HHS ZIA HG200362NIMHD NIH HHS P20 MD006899PHS HHS 1ZIAHG200362-02
6 · The paper itself

Abstract

The burdens of type 2 diabetes (T2D) and cardiovascular diseases (CVD) are increasing in Africa. T2D and CVD are the result of the complex interaction between inherited characteristics, lifestyle, and environmental factors. The epidemic of obesity is largely behind the exploding global incidence of T2D. However, not all obese individuals develop diabetes and positive family history is a powerful risk factor for diabetes and CVD. Recent implementations of high throughput genotyping and sequencing approaches have advanced our understanding of the genetic basis of diabetes and CVD by identifying several genomic loci that were not previously linked to the pathobiology of these diseases. However, African populations have not been adequately represented in these global genomic efforts. Here, we summarize the state of knowledge of the genetic epidemiology of T2D and CVD in Africa and highlight new genomic initiatives that promise to inform disease etiology, public health and clinical medicine in Africa.

Indexed as

Genetic Predisposition to DiseaseAfricaCardiovascular DiseasesDiabetes Mellitus, Type 2GenotypeHumansMolecular EpidemiologyMorbidityRisk FactorsAfricaBlood pressureBPCADCardiovascular diseasesCoronary artery diseaseCVDEpidemiologyGeneticsGenome wide association study/studiesGWASH3AfricaHapMapHDL-CHigh density lipoprotein cholesterolHUFSHuman Heredity and Health in Africa InitiativeInternational project that aims to catalogue genetic variations in human beingsLDLinkage disequilibrium a measure of the degree of correlation between loci on the same chromosomeLODLogarithm of the odds (LOD) is a statistical test commonly used in genetic linkage analysis. It compares the likelihood of obtaining the test data if two loci are indeed linked, to the likelihood of observing the same data purely by chanceMH-GRIDMinority Health Genomics and Translational Research Bio-Respository DatabaseNCDNegative family historyNFHNon-communicable diseasesOdds ratioORPeroxisome proliferator activated receptor gamma (gene)PFHPositive family historyPPARGRAFRisk allele frequencySBPSingle nucleotide polymorphismSNPSSASub Saharan AfricaSystolic blood pressureT2DTCF7L2The Howard University Family StudyTranscription factor 7 like 2 (gene)Type 2 diabetes

Identifiers

PMID24267432
PMCPMC3840391

What OpenQuestion holds

Textmetadata
LicenceTDM
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.