TarGo: network based target gene selection system for human disease related mouse models
10.1186/s42826-019-0023-z
- Author:
Daejin HYUNG
1
;
Ann Marie MALLON
;
Dong Soo KYUNG
;
Soo Young CHO
;
Je Kyung SEONG
Author Information
1. National Cancer Center, 323 Ilsan-ro, Goyang-si, Kyeonggi-do 10408, Republic of Korea. sooycho@ncc.re.kr
- Publication Type:Original Article
- Keywords:
Systems biology;
Genetic engineered mice;
Bioinformatics;
PageRank algorithm;
Database
- MeSH:
Animals;
Computational Biology;
Genes, vif;
Genetic Association Studies;
Humans;
Mice;
Phenotype;
Systems Biology
- From:Laboratory Animal Research
2019;35(4):165-171
- CountryRepublic of Korea
- Language:English
-
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.
