Weighted Gene Co-Expression Network Analysis Identifies Specific Modules and Hub Genes Related to Hyperlipidemia

Abstract Background/Aims: The present study attempted to identify the potential key genes and pathways of hyperlipidemia, and to investigate the possible mechanisms associated with them. Methods: The array data of GSE3059 were downloaded, including thirteen samples of hyperlipidemia from the Gene Ex...

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Veröffentlicht in:	Cellular Physiology and Biochemistry 2018-08, Vol.48 (3), p.1151-1163
Hauptverfasser:	Miao, Liu, Yin, Rui-Xing , Pan, Shang-Ling, Yang, Shuo, Yang, De-Zhai, Lin, Wei-Xiong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Age Aged Analysis Apolipoproteins Array data Cardiovascular disease Cholesterol Chronic illnesses Clustering Coronary vessels Databases, Genetic Diabetes Down-Regulation Epigenetic influence Epigenetic inheritance Family medical history Female Gene expression Gene Expression Profiling Gene Ontology Gene Ontology annotation Gene Regulatory Networks Genomes Humans Hyperlipidemia Hyperlipidemias - genetics Hyperlipidemias - metabolism Identification and classification Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway Lipids Low density lipoprotein Male Males Methods Middle Aged Minority & ethnic groups Original Paper Protein Interaction Maps Protein-protein interaction (PPI) network Protein-protein interactions Up-Regulation Weighted gene co-expression networks analyzed
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