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• W2891871137 abstract "Abstract The polygenic nature of complex diseases offers potential opportunities to utilize network-based approaches that leverage the comprehensive set of protein-protein interactions (the human interactome) to identify new genes of interest and relevant biological pathways. However, the incompleteness of the current human interactome prevents it from reaching its full potential to extract network-based knowledge from gene discovery efforts, such as genome-wide association studies, for complex diseases like chronic obstructive pulmonary disease (COPD). Here, we provide a framework that integrates the existing human interactome information with experimental protein-protein interaction data for FAM13A, one of the most highly associated genetic loci to COPD, to find a more comprehensive disease network module. We identified an initial disease network neighborhood by applying a random-walk method. Next, we developed a network-based closeness approach (C AB ) that revealed 9 out of 96 FAM13A interacting partners identified by affinity purification assays were significantly close to the initial network neighborhood. Moreover, compared to a similar method (local radiality), the C AB approach predicts low-degree genes as potential candidates. The candidates identified by the network-based closeness approach were combined with the initial network neighborhood to build a comprehensive disease network module (163 genes) that was enriched with genes differentially expressed between controls and COPD subjects in alveolar macrophages, lung tissue, sputum, blood, and bronchial brushing datasets. Overall, we demonstrate an approach to find disease-related network components using new laboratory data to overcome incompleteness of the current interactome." @default.
• W2891871137 created "2018-09-27" @default.
• W2891871137 creator A5018495347 @default.
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• W2891871137 date "2018-09-27" @default.
• W2891871137 modified "2023-10-12" @default.
• W2891871137 title "Integration of Molecular Interactome and Targeted Interaction Analysis to Identify a COPD Disease Network Module" @default.
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• W2891871137 doi "https://doi.org/10.1038/s41598-018-32173-z" @default.
• W2891871137 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6160419" @default.
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• W2891871137 hasPublicationYear "2018" @default.
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