ArticleBMC medical genomics2012
Adipose co-expression networks across Finns and Mexicans identify novel triglyceride-associated genes.
Article in BMC medical genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Functional interactors of three genome-wide association study genes are differentially expressed in severe chronic obstructive pulmonary disease lung tissue.Scientific reports · 2017Trial
- Identifying a gene expression signature of frequent COPD exacerbations in peripheral blood using network methods.BMC medical genomics · 2015Trial
- Gene coexpression network analysis reveals perirenal adipose tissue as an important target of prenatal malnutrition in sheep.Physiological genomics · 2023Article
- Combined Transcriptome and Metabolome Analysis Reveals Adaptive Defense Responses to DON Induction in Potato.International journal of molecular sciences · 2023Article
- HIF2α-induced upregulation of RNASET2 promotes triglyceride synthesis and enhances cell migration in clear cell renal cell carcinoma.FEBS open bio · 2023Article
- HuR-dependent expression of Wisp1 is necessary for TGFβ-induced cardiac myofibroblast activity.Journal of molecular and cellular cardiology · 2023Article
- Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity.Physiological genomics · 2022Article
- Adipocyte-specific deletion of HuR induces spontaneous cardiac hypertrophy and fibrosis.American journal of physiology. Heart and circulatory physiology · 2021Article
- Genome-wide scan highlights the role of candidate genes on phenotypic plasticity for age at first calving in Nellore heifers.Scientific reports · 2020Article
- Oncosis and apoptosis induction by activation of an overexpressed ion channel in breast cancer cells.Oncogene · 2017Article
- Integrated mRNAseq and microRNAseq data analysis for grade III gliomas.Molecular medicine reports · 2017Article
- Article
- Tissue-Specific and Genetic Regulation of Insulin Sensitivity-Associated Transcripts in African Americans.The Journal of clinical endocrinology and metabolism · 2016Article
- Article
- An integrated, ontology-driven approach to constructing observational databases for research.Journal of biomedical informatics · 2015Article
- Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans.BMC medical genomics · 2015Article
- Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits.Methods in molecular biology (Clifton, N.J.) · 2015Article
- Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approach.Frontiers in genetics · 2015Article
- Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine model.BMC medical genomics · 2014Article
- Normalized lmQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers.Cancer informatics · 2014Article
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Authors and funding
16 authors.
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Abstract
backgroundHigh serum triglyceride (TG) levels is an established risk factor for coronary heart disease (CHD). Fat is stored in the form of TGs in human adipose tissue. We hypothesized that gene co-expression networks in human adipose tissue may be correlated with serum TG levels and help reveal novel genes involved in TG regulation.
methodsGene co-expression networks were constructed from two Finnish and one Mexican study sample using the blockwiseModules R function in Weighted Gene Co-expression Network Analysis (WGCNA). Overlap between TG-associated networks from each of the three study samples were calculated using a Fisher's Exact test. Gene ontology was used to determine known pathways enriched in each TG-associated network.
resultsWe measured gene expression in adipose samples from two Finnish and one Mexican study sample. In each study sample, we observed a gene co-expression network that was significantly associated with serum TG levels. The TG modules observed in Finns and Mexicans significantly overlapped and shared 34 genes. Seven of the 34 genes (ARHGAP30, CCR1, CXCL16, FERMT3, HCST, RNASET2, SELPG) were identified as the key hub genes of all three TG modules. Furthermore, two of the 34 genes (ARHGAP9, LST1) reside in previous TG GWAS regions, suggesting them as the regional candidates underlying the GWAS signals.
conclusionsThis study presents a novel adipose gene co-expression network with 34 genes significantly correlated with serum TG across populations.
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