ArticleAmerican journal of human genetics2019
Cell-Type Heterogeneity in Adipose Tissue Is Associated with Complex Traits and Reveals Disease-Relevant Cell-Specific eQTLs.
Article in American journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
73 citing papers in PubMed, 3 syntheses or guidelines pooled 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
- Novel DNA methylation signatures of tobacco smoking with trans-ethnic effects.Clinical epigenetics · 2021Pooled it
- Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits.PLoS computational biology · 2020Pooled it
- AKR1C2 and AKR1C3 expression in adipose tissue: Association with body fat distribution and regulatory variants.Molecular and cellular endocrinology · 2021Trial
- Integrated inference of cellular compositions and gene expression programs by deconvolution.Cell regeneration (London, England) · 2026Article
- BMI-genome interactions regulate global gene expression with emphasis in brain and gut.Cell genomics · 2026Article
- A scalable framework for single-cell eQTL mapping uncovers genetic regulators of meat production traits in pigs.Journal of animal science and biotechnology · 2026Article
- Connexin-43-Mediated Gap Junction Coupling Between Adipocytes Regulates Norepinephrine-Induced CaCells · 2026Article
- Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated aging.Nature communications · 2026Article
- Lessons from single cell omics: admixed American ancestry and sex confer cardiometabolic disease risk in Mexicans.Genome medicine · 2026Article
- Genetic regulation of fatty acid content in adipose tissue.American journal of human genetics · 2026Article
- Mechanical Insights into the Distinct Effects of Ovariectomy Versus Adrenalectomy on Age-Related Thymic Atrophy in Female Mice.International journal of molecular sciences · 2026Article
- Scalable Deep Learning of Histology Images Reveals Genetic and Phenotypic Determinants of Adipocyte Hypertrophy.medRxiv : the preprint server for health sciences · 2025Article
- Single-cell DNA methylome and 3D genome atlas of human subcutaneous adipose tissue.Nature genetics · 2025Article
- Adipose tissue gene expression and longitudinal clinical phenotypes are early biomarkers of lipid-regulating drug usage.Scientific reports · 2025Article
- PVAT adipocyte: energizing, modulating, and structuring vascular function during normotensive and hypertensive states.American journal of physiology. Heart and circulatory physiology · 2025Review
- Tissue-specific methylomic responses to a lifestyle intervention in older adults associate with metabolic and physiological health improvements.Aging cell · 2025Article
- Single-cell DNA methylome and 3D genome atlas of the human subcutaneous adipose tissue.bioRxiv : the preprint server for biology · 2024Article
- Dissecting human adipose tissue heterogeneity using single-cell omics technologies.Stem cell research & therapy · 2024Review
- Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study.European journal of human genetics : EJHG · 2024Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Adipose tissue is an important endocrine organ with a role in many cardiometabolic diseases. It is comprised of a heterogeneous collection of cell types that can differentially impact disease phenotypes. Cellular heterogeneity can also confound -omic analyses but is rarely taken into account in analysis of solid-tissue transcriptomes. Here, we investigate cell-type heterogeneity in two population-level subcutaneous adipose-tissue RNA-seq datasets (TwinsUK, n = 766 and the Genotype-Tissue Expression project [GTEx], n = 326) by estimating the relative proportions of four distinct cell types (adipocytes, macrophages, CD4+ T cells, and micro-vascular endothelial cells). We find significant cellular heterogeneity within and between the TwinsUK and GTEx adipose datasets. We find that adipose cell-type composition is heritable and confirm the positive association between adipose-resident macrophage proportion and obesity (high BMI), but we find a stronger BMI-independent association with dual-energy X-ray absorptiometry (DXA) derived body-fat distribution traits. We benchmark the impact of adipose-tissue cell composition on a range of standard analyses, including phenotype-gene expression association, co-expression networks, and cis-eQTL discovery. Our results indicate that it is critical to account for cell-type composition when combining adipose transcriptome datasets in co-expression analysis and in differential expression analysis with obesity-related traits. We applied gene expression by cell-type proportion interaction models (G × Cell) to identify 26 cell-type-specific expression quantitative trait loci (eQTLs) in 20 genes, including four autoimmune disease genome-wide association study (GWAS) loci. These results identify cell-specific eQTLs and demonstrate the potential of in silico deconvolution of bulk tissue to identify cell-type-restricted regulatory variants.
Indexed as
Identifiers
What OpenQuestion holds
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.