{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Reed JN"],"funding":["HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases","NIDDK NIH HHS","Fondation Leducq","NHLBI NIH HHS","HHS | NIH | National Heart, Lung, and Blood Institute"],"pagination":["e202402603"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11068934"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7(7)"],"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<sub>adjBMI</sub>). Whereas this trait is highly heritable, few causal genes are known. We aimed to identify novel drivers of WHR<sub>adjBMI</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"],"journal":["Life science alliance"],"pubmed_title":["Systems genetics analysis of human body fat distribution genes identifies adipocyte processes."],"pmcid":["PMC11068934"],"funding_grant_id":["22CVD04","T32 HL007284","R01 DK118287"],"pubmed_authors":["Ding W","Li Y","Ma L","Civelek M","Huang J","Reed JN","Wang T","Banka D","Wabitsch M","Bjorkegren JL"],"additional_accession":[]},"is_claimable":false,"name":"Systems genetics analysis of human body fat distribution genes identifies adipocyte processes.","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<sub>adjBMI</sub>). Whereas this trait is highly heritable, few causal genes are known. We aimed to identify novel drivers of WHR<sub>adjBMI</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","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2026-06-02T07:01:42.316Z","creation":"2025-08-14T03:05:51.643Z"},"accession":"S-EPMC11068934","cross_references":{"pubmed":["38702075"],"doi":["10.26508/lsa.202402603"]}}