Evidence map›Paper›PMID 42533293›Full record

ArticleDiabetes, obesity & metabolism2026

Refining the Genetic Contribution to Type 2 Diabetes Subtypes.

Nayra M Al-Thani, Salman M Toor, Umm-Kulthum Ismail Umlai, Usama Aliyu, Karsten Suhre, Omar M E Albagha

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Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nayra M Al-ThaniCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.ORCID 0000-0001-8717-0309
Salman M ToorCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.
Umm-Kulthum Ismail UmlaiCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.
Usama AliyuCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.ORCID 0000-0002-9716-5332
Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Omar M E AlbaghaCollege of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.ORCID 0000-0001-5916-5983

Funding

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

Abstract

backgroundType 2 diabetes (T2D) is a complex and highly heterogeneous disease driven in part by genetic predisposition and can be stratified into clinical subgroups to aid disease management. We recently grouped T2D subjects in the Qatar Biobank (QBB) cohort into Severe Insulin-Deficient Diabetes (SIDD), Severe Insulin-Resistant Diabetes (SIRD), Mild Obesity-Related Diabetes (MOD) and Mild Age-Related Diabetes (MARD) subtypes. Herein, we focused on the genetic makeup of these subtypes.

methodsWe used the QBB cohort (n = 13,808), of whom 2687 were with T2D, and comprehensively assessed polygenic risk scores (PGS) across T2D subtypes, investigated genetic loci associated with each subtype by leveraging the most recent and largest GWAS for T2D, evaluated SNP associations across T2D genetic clusters, and identified protein interaction pathways associated with these distinct T2D subtypes.

resultsMOD showed consistently lower PGS compared with other T2D subtypes across all tested scores. SIDD showed more associations with SNPs mapping to residual glycemic cluster compared with other T2D subtypes. The incremental analysis of PGS004838 demonstrated a high ΔAUC of 0.101 for SIDD and a moderate ΔAUC of 0.068 for SIRD, but not for MOD and MARD. Protein interaction analyses identified candidate subtype-associated gene networks linked to pathways related to glucose homeostasis in SIDD, insulin signalling and hepatic metabolism in SIRD, body fat distribution in MOD and vascular-related processes in MARD.

conclusionWe found heterogeneous genetic architectures across clinically defined T2D subtypes in a Middle Eastern population. Our findings provide evidence supporting differential polygenic burden, subtype genetic associations and subtype-associated biological pathways across T2D subtypes. These observations support the utility of subtype-based genetic analyses for improving biological understanding of T2D heterogeneity.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseCohort StudiesFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansInsulin ResistanceMaleMiddle AgedPolymorphism, Single NucleotideQatarGWASMODPGSSIDDSIRDtype 2 diabetes

Identifiers

PMID42533293
PMCPMC13538756

What Socratic holds

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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 Socratic graph.