ArticleScientific reports2019
Comprehensive and Systematic Analysis of Gene Expression Patterns Associated with Body Mass Index.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed.
- Gene co-expression networks are associated with obesity-related traits in kidney transplant recipients.BMC medical genomics · 2020Trial
- Article
- Tissue-Specific Multi-Omics Integration Demonstrates Molecular Signatures Connecting Obesity to Immune Vulnerability.Metabolites · 2026Article
- Multiomics reveal key inflammatory drivers of severe obesity: IL4R, LILRA5, and OSM.Cell genomics · 2025Article
- Diet-Induced Obesity Induces Transcriptomic Changes in Neuroimmunometabolic-Related Genes in the Striatum and Olfactory Bulb.International journal of molecular sciences · 2024Article
- The Therapeutic Effectiveness of Laparoscopic Sleeve Gastrectomy Among Individuals with Low BMI Obesity (30-35 Kg/mInternational journal of general medicine · 2024Article
- Conserved immunomodulatory transcriptional networks underlie antipsychotic-induced weight gain.Translational psychiatry · 2021Article
- Placental Gene Co-expression Network for Maternal Plasma Lipids Revealed Enrichment of Inflammatory Response Pathways.Frontiers in genetics · 2021Article
- New Insights in RBM20 Cardiomyopathy.Current heart failure reports · 2020Review
- The State of Data Science in Genomic Nursing.Biological research for nursing · 2020Review
- DNA Methylation Profiles in a Group of Workers Occupationally Exposed to Nanoparticles.International journal of molecular sciences · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Both genetic and environmental factors are suggested to influence overweight and obesity risks. Although individual loci and genes have been frequently shown to be associated with body mass index (BMI), the overall interaction of these genes and their role in BMI remains underexplored. Data were collected in 90 healthy, predominately Caucasian participants (51% female) with a mean age of 26.00 ± 9.02 years. Whole blood samples were assayed by Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. We integrated and analyzed the clinical and microarray gene expression data from those individuals to understand various systematic gene expression patterns underlying BMI. Conventional differential expression analysis identified seven genes RBM20, SEPT12, AX748233, SLC30A3, WTIP, CASP10, and OR12D3 associated with BMI. Weight gene co-expression network analysis among 4,647 expressed genes identified two gene modules associated with BMI. These two modules, with different extents of gene connectivity, are enriched for catabolic and muscle system processes respectively, and tend to be regulated by zinc finger transcription factors. A total of 246 hub genes were converted to non-hub genes, and 286 non-hub genes were converted to hub genes between normal and overweight individuals, revealing the network dynamics underlying BMI. A total of 28 three-way gene interactions were identified, suggesting the existence of high-order gene expression patterns underlying BMI. Our study demonstrated a variety of systematic gene expression patterns associated with BMI and thus provided novel understanding regarding the genetic factors for overweight and obesity risks on system levels.
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