<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ahmad S</submitter><funding>European Research Council</funding><pagination>101468</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12355076</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(9)</volume><pubmed_abstract>&lt;h4>Background &amp; aims&lt;/h4>A quarter of the world population is estimated to have metabolic dysfunction-associated steatotic liver disease. Here, we aim to understand the impact of liver trait-associated genetic variants on fat content and tissue volume across organs and body compartments and on a large set of biomarkers.&lt;h4>Methods&lt;/h4>Genome-wide association analyses were performed on liver fat and liver volume estimated with magnetic resonance imaging in up to 27,243 unrelated European participants from the UK Biobank. Identified variants were assessed for associations with fat fraction and tissue volume in >2 million 'Imiomics' image elements in 22,261 individuals and with circulating biomarkers in 310,224 individuals.&lt;h4>Results&lt;/h4>We confirmed four liver fat and nine liver volume pre</pubmed_abstract><journal>JHEP reports : innovation in hepatology</journal><pubmed_title>Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition.</pubmed_title><pmcid>PMC12355076</pmcid><funding_grant_id>801965</funding_grant_id><pubmed_authors>Hammar U</pubmed_authors><pubmed_authors>Romero-Lado MJ</pubmed_authors><pubmed_authors>Ahmad S</pubmed_authors><pubmed_authors>Kennedy B</pubmed_authors><pubmed_authors>Kullberg J</pubmed_authors><pubmed_authors>Censin JC</pubmed_authors><pubmed_authors>Menzel U</pubmed_authors><pubmed_authors>Martinez Mora A</pubmed_authors><pubmed_authors>Ahmad N</pubmed_authors><pubmed_authors>Langner T</pubmed_authors><pubmed_authors>Kilpelainen TO</pubmed_authors><pubmed_authors>Sayols-Baixeras S</pubmed_authors><pubmed_authors>Fall T</pubmed_authors><pubmed_authors>Lind L</pubmed_authors><pubmed_authors>Carrasquilla GD</pubmed_authors><pubmed_authors>Nguyen D</pubmed_authors><pubmed_authors>Dekkers KF</pubmed_authors><pubmed_authors>Malmberg F</pubmed_authors><pubmed_authors>Ahlstrom H</pubmed_authors><pubmed_authors>Eriksson JW</pubmed_authors><pubmed_authors>Strand R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition.</name><description>&lt;h4>Background &amp; aims&lt;/h4>A quarter of the world population is estimated to have metabolic dysfunction-associated steatotic liver disease. Here, we aim to understand the impact of liver trait-associated genetic variants on fat content and tissue volume across organs and body compartments and on a large set of biomarkers.&lt;h4>Methods&lt;/h4>Genome-wide association analyses were performed on liver fat and liver volume estimated with magnetic resonance imaging in up to 27,243 unrelated European participants from the UK Biobank. Identified variants were assessed for associations with fat fraction and tissue volume in >2 million 'Imiomics' image elements in 22,261 individuals and with circulating biomarkers in 310,224 individuals.&lt;h4>Results&lt;/h4>We confirmed four liver fat and nine liver volume pre</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-05-29T17:56:18.619Z</modification><creation>2026-05-18T03:07:27.387Z</creation></dates><accession>S-EPMC12355076</accession><cross_references><pubmed>40823175</pubmed><doi>10.1016/j.jhepr.2025.101468</doi></cross_references></HashMap>