Literature DB >> 28786249

Network analysis identifies common genes associated with obesity in six obesity-related diseases.

Li-Ning Su1, Yan-Bing Wang2, Chun-Guang Wnag3, Hui-Ping Wei1.   

Abstract

Obesity has been reported to be associated with many diseases. However, common obesity-induced biological processes have not been evaluated across these diseases. We identified genes associated with obesity and obesity-related diseases, and used them to construct protein‒protein interaction networks. We also analyzed gene ontology (GO) in those genes overlapping between obesity and disease. Our work identifies gene modules common to obesity and obesity-related diseases, which can provide a basis for understanding the process of how obesity induces disease.

Entities:  

Keywords:  Obesity; Obesity-related diseases; CAD; Diabetes; Hypertension; Breast cancer; Polycystic ovarian syndrome; Kidney cancer

Year:  2017        PMID： 28786249      PMCID： PMC5565522          DOI： 10.1631/jzus.B1600454

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN： 1673-1581            Impact factor:   3.066


  34 in total

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9.  Association Between ESR1 PvuII, XbaI, and P325P Polymorphisms and Breast Cancer Susceptibility: A Meta-Analysis.

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10.  Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data.

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1.  Dopamine receptor D2 polymorphism is associated with alleviation of obesity after 8-year follow-up: a retrospective cohort study in obese Chinese children and adolescents.

Authors:  Jian-Fang Zhu; Lian-Hui Chen; Ke Yuan; Li Liang; Chun-Lin Wang
Journal:  J Zhejiang Univ Sci B       Date:  2018 Oct.       Impact factor: 3.066

2.  Network analysis of microRNAs, transcription factors, and target genes involved in axon regeneration.

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Journal:  J Zhejiang Univ Sci B       Date:  2018 Apr.       Impact factor: 3.066
  2 in total

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