<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Reed JN</submitter><funding>HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>Fondation Leducq</funding><funding>NHLBI NIH HHS</funding><funding>HHS | NIH | National Heart, Lung, and Blood Institute</funding><pagination>e202402603</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11068934</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(7)</volume><pubmed_abstract>Excess abdominal fat is a sexually dimorphic risk factor for cardio-metabolic disease and is approximated by the waist-to-hip ratio adjusted for body mass index (WHR&lt;sub>adjBMI&lt;/sub>). Whereas this trait is highly heritable, few causal genes are known. We aimed to identify novel drivers of WHR&lt;sub>adjBMI&lt;/sub> using systems genetics. We used two independent cohorts of adipose tissue gene expression and constructed sex- and depot-specific Bayesian networks to model gene-gene interactions from 8,492 genes. Using key driver analysis, we identified genes that, in silico and putatively in vitro, regulate many others. 51-119 key drivers in each network were replicated in both cohorts. In other cell types, 23 of these genes are found in crucial adipocyte pathways: Wnt signaling or mitochondrial f</pubmed_abstract><journal>Life science alliance</journal><pubmed_title>Systems genetics analysis of human body fat distribution genes identifies adipocyte processes.</pubmed_title><pmcid>PMC11068934</pmcid><funding_grant_id>22CVD04</funding_grant_id><funding_grant_id>T32 HL007284</funding_grant_id><funding_grant_id>R01 DK118287</funding_grant_id><pubmed_authors>Ding W</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Ma L</pubmed_authors><pubmed_authors>Civelek M</pubmed_authors><pubmed_authors>Huang J</pubmed_authors><pubmed_authors>Reed JN</pubmed_authors><pubmed_authors>Wang T</pubmed_authors><pubmed_authors>Banka D</pubmed_authors><pubmed_authors>Wabitsch M</pubmed_authors><pubmed_authors>Bjorkegren JL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Systems genetics analysis of human body fat distribution genes identifies adipocyte processes.</name><description>Excess abdominal fat is a sexually dimorphic risk factor for cardio-metabolic disease and is approximated by the waist-to-hip ratio adjusted for body mass index (WHR&lt;sub>adjBMI&lt;/sub>). Whereas this trait is highly heritable, few causal genes are known. We aimed to identify novel drivers of WHR&lt;sub>adjBMI&lt;/sub> using systems genetics. We used two independent cohorts of adipose tissue gene expression and constructed sex- and depot-specific Bayesian networks to model gene-gene interactions from 8,492 genes. Using key driver analysis, we identified genes that, in silico and putatively in vitro, regulate many others. 51-119 key drivers in each network were replicated in both cohorts. In other cell types, 23 of these genes are found in crucial adipocyte pathways: Wnt signaling or mitochondrial f</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2026-06-02T07:01:42.316Z</modification><creation>2025-08-14T03:05:51.643Z</creation></dates><accession>S-EPMC11068934</accession><cross_references><pubmed>38702075</pubmed><doi>10.26508/lsa.202402603</doi></cross_references></HashMap>