ArticleAmerican journal of human genetics2017
Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.
Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 8 of them syntheses that pooled it.
What it found
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Who cites it
133 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Trans-eQTL mapping prioritises USP18 as a negative regulator of interferon response at a lupus risk locus.Nature communications · 2025Pooled it
- Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits.Nature genetics · 2025Pooled it
- ACE2 expression in adipose tissue is associated with cardio-metabolic risk factors and cell type composition-implications for COVID-19.International journal of obesity (2005) · 2022Pooled it
- Lifestyle and metabolic factors for nonalcoholic fatty liver disease: Mendelian randomization study.European journal of epidemiology · 2022Pooled it
- Pooled it
- Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.Nature genetics · 2019Pooled it
- A genomic exploration identifies mechanisms that may explain adverse cardiovascular effects of COX-2 inhibitors.Scientific reports · 2017Pooled it
- Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels.Human molecular genetics · 2017Pooled it
- Depot-specific differences in visceral and subcutaneous adipose tissue from patients with obesity.Adipocyte · 2026Article
- Transferrin receptor 1-mediated iron uptake supports thermogenic activation in human cervical-derived adipocytes.FEBS letters · 2026Article
- Phosphomannomutase 1 restrains adipose thermogenic programming via inosine signaling.Molecular metabolism · 2026Article
- Disentangling adiposity-related and non-adiposity-related genetic pathways for type 2 diabetes.medRxiv : the preprint server for health sciences · 2026Article
- GANomics: bridging legacy and modern transcriptomic platforms for clinical applications.NPJ genomic medicine · 2026Article
- FastGxC: Fast and powerful context-specific eQTL mapping in bulk and single-cell data.Cell genomics · 2026Article
- Evaluating Cross-Platform Batch Correction Methods for Integrated Microarray and RNA-seq Data Analysis.bioRxiv : the preprint server for biology · 2026Article
- A conserved hormonal signalling-H2A.Z axis rapidly reorganizes 3D chromatin interactions in adipocyte thermogenesis.Nature metabolism · 2026Article
- Adissp activates insulin-independent glucose disposal and energy expenditure in white fat to treat diabetes and cardiometabolic disease.Science advances · 2026Article
- Article
- Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated aging.Nature communications · 2026Article
- Integrated analysis of the adipocyte plasma membrane proteome reveals KCC1 and PIT2 as novel insulin-responsive transporters.The Journal of biological chemistry · 2026Article
73 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
26 authors.
Funding
Abstract
Subcutaneous adipose tissue stores excess lipids and maintains energy balance. We performed expression quantitative trait locus (eQTL) analyses by using abdominal subcutaneous adipose tissue of 770 extensively phenotyped participants of the METSIM study. We identified cis-eQTLs for 12,400 genes at a 1% false-discovery rate. Among an approximately 680 known genome-wide association study (GWAS) loci for cardio-metabolic traits, we identified 140 coincident cis-eQTLs at 109 GWAS loci, including 93 eQTLs not previously described. At 49 of these 140 eQTLs, gene expression was nominally associated (p < 0.05) with levels of the GWAS trait. The size of our dataset enabled identification of five loci associated (p < 5 × 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.