ArticleInternational journal of obesity (2005)2012
Differential coexpression analysis of obesity-associated networks in human subcutaneous adipose tissue.
Article in International journal of obesity (2005), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- MetaDCN: meta-analysis framework for differential co-expression network detection with an application in breast cancer.Bioinformatics (Oxford, England) · 2017Pooled it
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- Excessive Gestational Weight Gain Alters DNA Methylation and Influences Foetal and Neonatal Body Composition.Epigenomes · 2023Article
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- Neuronal growth regulator 1 promotes adipocyte lipid trafficking via interaction with CD36.Journal of lipid research · 2022Article
- Human adipose tissue gene expression of solute carrier family 19 member 3 (Obesity science & practice · 2022Article
- High-Fat Diet Induces Pre-Diabetes and Distinct Sex-Specific Metabolic Alterations in Negr1-Deficient Mice.Biomedicines · 2021Article
- Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes.Molecular genetics and genomics : MGG · 2021Article
- Association of theUpsala journal of medical sciences · 2020Article
- Placental NEGR1 DNA methylation is associated with BMI and neurodevelopment in preschool-age children.Epigenetics · 2020Article
- Sex biased expression and co-expression networks in development, using the hymenopteran Nasonia vitripennis.PLoS genetics · 2020Article
- A correlation-based network for biomarker discovery in obesity with metabolic syndrome.BMC bioinformatics · 2019Article
- Differential metabolomics analysis allows characterization of diversity of metabolite networks between males and females.PloS one · 2018Article
- Human genetic variation and the gut microbiome in disease.Nature reviews. Genetics · 2017Review
- Gene expression profile of subcutaneous adipose tissue in BMI-discordant monozygotic twin pairs unravels molecular and clinical changes associated with sub-types of obesity.International journal of obesity (2005) · 2017Article
- Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer.Scientific reports · 2017Article
- Differential correlation for sequencing data.BMC research notes · 2017Article
Corrections and comments
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Authors and funding
19 authors at 7 institutions in 3 countries.
Funding
Abstract
objectiveTo use a unique obesity-discordant sib-pair study design to combine differential expression analysis, expression quantitative trait loci (eQTLs) mapping and a coexpression regulatory network approach in subcutaneous human adipose tissue to identify genes relevant to the obese state. STUDY
designGenome-wide transcript expression in subcutaneous human adipose tissue was measured using Affymetrix U133 Plus 2.0 microarrays (Affymetrix, Santa Clara, CA, USA), and genome-wide genotyping data was obtained using an Applied Biosystems (Applied Biosystems; Life Technologies, Carlsbad, CA, USA) SNPlex linkage panel. SUBJECTS: A total of 154 Swedish families ascertained through an obese proband (body mass index (BMI) >30 kg m(-2)) with a discordant sibling (BMI>10 kg m(-2) less than proband).
resultsApproximately one-third of the transcripts were differentially expressed between lean and obese siblings. The cellular adhesion molecules (CAMs) KEGG grouping contained the largest number of differentially expressed genes under cis-acting genetic control. By using a novel approach to contrast CAMs coexpression networks between lean and obese siblings, a subset of differentially regulated genes was identified, with the previously GWAS obesity-associated neuronal growth regulator 1 (NEGR1) as a central hub. Independent analysis using mouse data demonstrated that this finding of NEGR1 is conserved across species.
conclusionOur data suggest that in addition to its reported role in the brain, NEGR1 is also expressed in subcutaneous adipose tissue and acts as a central 'hub' in an obesity-related transcript network.
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Registered trials
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