Evidence mapPaperPMID 42049600Full record

ReviewEBioMedicine2026

Insights into the genetic aetiology of diabetes in Africa.

Alisha N Wade, Carolyn Padoa, Adebowale Adeyemo, Inês Barroso

Abstract readReview
In one paragraph

Review in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Alisha N WadeResearch in Metabolism and Endocrinology, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Carolyn PadoaDepartment of Chemical Pathology, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; South Africa and National Health Laboratory Services, Johannesburg, South Africa.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Inês BarrosoExeter Centre of Excellence for Diabetes Research (EXCEED), University of Exeter Medical School, Exeter, UK. Electronic address: ines.barroso@exeter.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the high public health burden of diabetes in Africa, research into its genetic aetiology has been slow, limiting the continent's ability to benefit from an emerging era of diabetes precision medicine. Some progress is evident. In monogenic diabetes, where a molecular diagnosis enables tailored treatment, two cases from Africa successfully illustrate this approach despite the absence of routine affordable genetic testing, and control data from diverse African populations. Although limited, genome-wide association studies from African populations have discovered novel African-specific type 2 diabetes risk variants. Additionally, application of a type 1 diabetes genetic score helped define a novel type of insulin deficient non-autoimmune diabetes in sub-Saharan Africa. Multiple challenges remain, including interpretation of glycated haemoglobin, a frequently used diabetes biomarker, which is impacted by genetic variants common in the African continent. We review these issues, outline barriers to implementing diabetes precision medicine, and highlight areas for future development.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseAfricaGenome-Wide Association StudyGlycated HemoglobinHumansPrecision MedicineGlycated HemoglobinAfricaDiabetesGeneticsGenetic scoreGlycated haemoglobinVariant interpretation

Identifiers

PMID42049600
PMCPMC13174234

What Socratic 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 Socratic graph.