Evidence map›Paper›PMID 40468860›Full record

ArticleDiabetes, obesity & metabolism2025

Genetic risk and polygenic risk score assessment of prediabetes and progression to type 2 diabetes.

Usama Aliyu, Umm-Kulthum Ismail Umlai, Nayra M Al-Thani, Salman M Toor, Abdul Badi Abou-Samra, Omar M E Albagha

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Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

6 authors.

Usama AliyuCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.ORCID 0000-0002-9716-5332
Umm-Kulthum Ismail UmlaiCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Nayra M Al-ThaniCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Salman M ToorCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.ORCID 0000-0002-4683-3329
Abdul Badi Abou-SamraQatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.
Omar M E AlbaghaCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.ORCID 0000-0001-5916-5983

Funding

Qatar National Research Fund NPRP11C-0115-180010
6 · The paper itself

Abstract

aimsTo identify susceptibility loci to prediabetes and evaluate the performance of existing polygenic risk scores (PGS) for type 2 diabetes (T2D) in predicting prevalent prediabetes and progression to diabetes. MATERIALS AND

methodsWe conducted a case-control Genome-Wide Association Study (GWAS) on Qatar Biobank (QBB) participants with prediabetes (n = 2267) and normoglycaemia (n = 8665). We further evaluated the performance of 140 existing PGS for T2D in predicting prediabetes using logistic regression in the baseline QBB cohort (n = 10 932) and progression to T2D using Cox regression in the follow-up cohort (n = 2143).

resultsGWAS identified two loci associated with prediabetes (p < 5 × 10

conclusionsThis study identified two genetic loci associated with prediabetes. PGS004838 showed the highest performance in predicting prediabetes and progression to T2D, with the strongest effect reported to date. Our findings have clinical translation potential in risk stratification and early intervention.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseMultifactorial InheritancePrediabetic StateAdultAgedCase-Control StudiesDisease ProgressionFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideQatarGWASIncident diabetesPolygenic Risk ScorePrediabetesType 2 diabetes

Identifiers

PMID40468860
PMCPMC12232356

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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.