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TarGo: network based target gene selection system for human disease related mouse models

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Authors
Hyung, Daejin; Mallon, Ann-Marie; Kyung, Dong Soo; Cho, Soo Young; Seong, Je Kyung
Issue Date
2019-11-13
Publisher
BMC
Citation
Laboratory Animal Research, 35(1):23
Keywords
Systems biologyGenetic engineered miceBioinformaticsPageRank algorithmDatabase
Abstract
Genetically engineered mouse models are used in high-throughput phenotyping screens to understand genotype-phenotype associations and their relevance to human diseases. However, not all mutant mouse lines with detectable phenotypes are associated with human diseases. Here, we propose the “Target gene selection system for Genetically engineered mouse models” (TarGo). Using a combination of human disease descriptions, network topology, and genotype-phenotype correlations, novel genes that are potentially related to human diseases are suggested. We constructed a gene interaction network using protein-protein interactions, molecular pathways, and co-expression data. Several repositories for human disease signatures were used to obtain information on human disease-related genes. We calculated disease- or phenotype-specific gene ranks using network topology and disease signatures. In conclusion, TarGo provides many novel features for gene function prediction.
ISSN
2233-7660
Language
English
URI
https://doi.org/10.1186/s42826-019-0023-z

http://hdl.handle.net/10371/164736
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College of Veterinary Medicine (수의과대학)Dept. of Veterinary Medicine (수의학과)Journal Papers (저널논문_수의학과)
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