Article

Genetic architecture of high-dimensional liver radiomic phenotypes and their role in common metabolic diseases

2026-05-22

Abstract excerpt

The liver plays a central role in systemic metabolism, yet large-scale genetic studies of quantitative liver imaging phenotypes remain limited. Here, we applied deep learning-based segmentation and radiomics extraction to derive 200 well-defined liver MRI features across multiple categories and imaging contrasts in 43,176 UK Biobank participants. Association analyses revealed steatosis-independent radiomic signals...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 91cbf0f9-ac1c-51a0-9dae-cb28a5c6f71c
DOI: 10.64898/2026.05.19.26353617

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Genetic architecture of high-dimensional liver radiomic phenotypes and their role in common metabolic diseasesDOI 10.64898/2026.05.19.26353617Read

Machine learning across multiple imaging and biomarker modalities in the UK Biobank improves genetic discovery for liver fat accumulationSemantic proximity Read

Unravelling genetic susceptibility and causal factors in liver health using MRI quantification of inflammation, fat and iron in the liver.Semantic proximity Read

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.Semantic proximity Read

Machine learning enables new insights into genetic contributions to liver fat accumulationSemantic proximity Read

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders.Semantic proximity Read

Machine learning enables new insights into clinical significance of and genetic contributions to liver fat accumulationSemantic proximity Read

Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning.Semantic proximity Read

Development of a Polygenic Risk Score for Metabolic Dysfunction-Associated Steatotic Liver Disease Prediction in UK BiobankSemantic proximity Read

Genetic architecture of 11 abdominal organ traits derived from abdominal MRI using deep learningSemantic 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

A prognostic molecular signature of hepatic steatosis is spatially heterogeneous and dynamic in human liverSemantic proximity Read

Linking abdominal imaging traits to electronic health record phenotypesSemantic proximity Read