Network medicine

Cancer-Specific Network Components
The identification of genetic markers (e.g. genes, pathways and subnetworks) for cancer has been one of the most challenging research areas in recent years.
A subset of these studies attempt to analyze genome-wide expression profiles to identify markers with high reliability and reusability across independent whole-transcriptome microarray datasets.
Therefore, the functional relationships of genes are integrated with their expression data. However, for (...)

References
Biological function through network topology: a survey of the human diseasome. Janjić V, Pržulj N. Brief Funct Genomics. 2012 Nov;11(6):522-32. doi:10.1093/bfgp/els037 . PMID: #22962330#

See also
symptoms
diseases
References
Human symptoms-disease network. Zhou X, Menche J, Barabási AL, Sharma A. Nat Commun. 2014 Jun 26;5:4212. doi:10.1038/ncomms5212 . PMID: #24967666#

WP
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges).
The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and (...)

References
Network medicine: a network-based approach to human disease. Barabási AL, Gulbahce N, Loscalzo J. Nat Rev Genet. 2011 Jan;12(1):56-68. PMID: #21164525#

Large-scale tumor resequencing studies have identified a number of mutations that might be involved in tumorigenesis.
Analysis of the frequency of specific mutations across different tumors has been able to identify some, but not all of the mutated genes that contribute to tumor initiation and progression.
One reason for this is that other functionally important genes are likely to be mutated more rarely and only in specific contexts.
Thus, for example, mutation in one member of a (...)

network analysis of genome-wide association study (GWAS)

Network and pathway analysis tools are traditionally used to interrogate gene expression data in order to understand the biological processes affected by a particular manipulation or disease/condition of interest.
A systems-level understanding of the biological processes affected in particular disease states can allow one to identify candidates not only for pharmaceutical intervention but also for potential prognostic and diagnostic markers for the disease.
However, network and pathway (...)

regulatory networks
References
Döhr S, Klingenhoff A, Maier H, Hrabé de Angelis M, Werner T, Schneider R. Linking disease-associated genes to regulatory networks via promoter organization. Nucleic Acids Res. 2005 Feb 8;33(3):864-72. PMID: #15701758#

diseasome; human disease networks; human disease network
A network of disorders and disease genes linked by known disorder-gene associations offers a platform to explore in a single graph-theoretic framework all known phenotype and disease gene associations, indicating the common genetic origin of many diseases.
Genes associated with similar disorders show both higher likelihood of physical interactions between their products and higher expression profiling similarity for their (...)