ArticleDiabetes2023
Cell-Type Composition Affects Adipose Gene Expression Associations With Cardiometabolic Traits.
Article in Diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Integrated Genomic and Transcriptomic Study RevealsCirculation. Genomic and precision medicine · 2026Article
- BMI-genome interactions regulate global gene expression with emphasis in brain and gut.Cell genomics · 2026Article
- Dysfunctional adipose tissue-lymphatic crosstalk in obesity.Nature reviews. Endocrinology · 2026Review
- Genetic variation shapes the chromatin accessibility landscape and transcriptional responses in mouse adipose tissue.PLoS genetics · 2026Article
- Rejuvenation of white adipose tissue in a longitudinal heterochronic transplantation model.bioRxiv : the preprint server for biology · 2025Article
- Adipose tissue gene expression and longitudinal clinical phenotypes are early biomarkers of lipid-regulating drug usage.Scientific reports · 2025Article
- Depot-specific metabolic and inflammatory profiles in perirenal and renal sinus adipose tissue.Molecular medicine (Cambridge, Mass.) · 2025Article
- Optimized RNA sequencing deconvolution illustrates the impact of obesity and weight loss on cell composition of human adipose tissue.Obesity (Silver Spring, Md.) · 2025Article
- The Primacy of Adipose Tissue Gene Expression and Plasma Lipidome in Cardiometabolic Disease in Persons With HIV.The Journal of infectious diseases · 2025Observational
- The subcutaneous adipose transcriptome identifies a molecular signature of insulin resistance shared with visceral adipose.Obesity (Silver Spring, Md.) · 2024Article
- Article
- Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
22 authors at 5 institutions in 3 countries.
Funding
Abstract
Understanding differences in adipose gene expression between individuals with different levels of clinical traits may reveal the genes and mechanisms leading to cardiometabolic diseases. However, adipose is a heterogeneous tissue. To account for cell-type heterogeneity, we estimated cell-type proportions in 859 subcutaneous adipose tissue samples with bulk RNA sequencing (RNA-seq) using a reference single-nuclear RNA-seq data set. Cell-type proportions were associated with cardiometabolic traits; for example, higher macrophage and adipocyte proportions were associated with higher and lower BMI, respectively. We evaluated cell-type proportions and BMI as covariates in tests of association between >25,000 gene expression levels and 22 cardiometabolic traits. For >95% of genes, the optimal, or best-fit, models included BMI as a covariate, and for 79% of associations, the optimal models also included cell type. After adjusting for the optimal covariates, we identified 2,664 significant associations (P ≤ 2e-6) for 1,252 genes and 14 traits. Among genes proposed to affect cardiometabolic traits based on colocalized genome-wide association study and adipose expression quantitative trait locus signals, 25 showed a corresponding association between trait and gene expression levels. Overall, these results suggest the importance of modeling cell-type proportion when identifying gene expression associations with cardiometabolic traits. ARTICLE HIGHLIGHTS:
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