Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genetic subtypes of type 2 diabetes are distinguished through the lens of abdominal MRI

16 Jul 2025

Abstract excerpt

Objective: This study seeks to understand type 2 diabetes (T2D) heterogeneity through detailed phenotypic characterization of various T2D genetic subtypes using advanced magnetic resonance imaging (MRI) techniques. Study design and method: MRI data from over 44,000 UK Biobank participants was used to characterize distinct T2D genetic subtypes based on a compendium of imaging-derived phenotypes (IDPs) quantifying...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Advanced MRI Techniques and Applications
Share to Diabetes, Cardiovascular Risks, and Lipoproteins
Share to Genetic Associations and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40741412
DOI: 10.3389/fgene.2025.1605721

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic subtypes of type 2 diabetes are distinguished through the lens of abdominal MRIPMID 40741412Read ↗

Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes.Semantic proximity Read ↗

MRI-Based Genetic Studies Reveal Specific Genetic Variants and Disease Risks Associated With Fat Distribution Across Anatomical Sites.Semantic proximity Read ↗

Genetic Evidence for Distinct Biological Mechanisms That Link Adiposity to Type 2 Diabetes: Toward Precision Medicine.Semantic proximity Read ↗

Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetesSemantic proximity Read ↗

Magnetic resonance imaging quantifies causal body compartment effects on metabolic traits via immune phenotypes-a Mendelian randomisation study.Semantic proximity Read ↗

The role of liver fat in cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body compositionSemantic proximity Read ↗

The link between liver fat and cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body compositionSemantic proximity Read ↗

Body composition subphenotypes, cardiometabolic risk and incident outcomes: validation in the population-based NAKO and UK Biobank imaging cohortsSemantic proximity Read ↗

Organ fat, not general obesity, defines risk for diabetes, inflammation, and comorbiditiesSemantic proximity Read ↗

Multi-omic signatures of genetic mechanisms inform on type 2 diabetes biology and patient heterogeneitySemantic proximity Read ↗

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK BiobankSemantic proximity Read ↗

Clustering of Type 2 Diabetes Genetic Loci by Multi-Trait Associations Identifies Disease Mechanisms and SubtypesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.