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http://dx.doi.org/10.5808/GI.2020.18.4.e39

Prediction of hub genes of Alzheimer's disease using a protein interaction network and functional enrichment analysis  

Wee, Jia Jin (Faculty of Health and Life Sciences, Management and Science University)
Kumar, Suresh (Faculty of Health and Life Sciences, Management and Science University)
Publication Information
Genomics & Informatics / v.18, no.4, 2020 , pp. 39.1-39.8 More about this Journal
Abstract
Alzheimer's disease (AD) is a chronic, progressive brain disorder that slowly destroys affected individuals' memory and reasoning faculties, and consequently, their ability to perform the simplest tasks. This study investigated the hub genes of AD. Proteins interact with other proteins and non-protein molecules, and these interactions play an important role in understanding protein function. Computational methods are useful for understanding biological problems, in particular, network analyses of protein-protein interactions. Through a protein network analysis, we identified the following top 10 hub genes associated with AD: PTGER3, C3AR1, NPY, ADCY2, CXCL12, CCR5, MTNR1A, CNR2, GRM2, and CXCL8. Through gene enrichment, it was identified that most gene functions could be classified as integral to the plasma membrane, G-protein coupled receptor activity, and cell communication under gene ontology, as well as involvement in signal transduction pathways. Based on the convergent functional genomics ranking, the prioritized genes were NPY, CXCL12, CCR5, and CNR2.
Keywords
Alzheimer's disease; functional enrichment; hub genes; network analysis; protein-protein interaction;
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