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Human disease network

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36: 28:. For example, in a human disease network, two diseases are linked if they share at least one associated gene. A typical human disease network usually derives from bipartite networks which consist of both diseases and genes information. Additionally, some human disease networks use other features such as 60:
database and termed human disease network. In 2009, Barrenas et al. derived complex disease-gene network using GWAs (Genome Wide Association studies). In the same year, Hidalgo et al. published a novel way of building human phenotypic disease networks in which diseases were connected according to
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A large-scale human disease network shows scale-free property. The degree distribution follows a power law suggesting that only a few diseases connect to a large number of diseases, whereas most diseases have few links to others. Such network also shows a clustering tendency by disease classes.
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their calculated distance. In 2011, Cusick et al. summarized studies on genotype-phenotype associations in cellular context. In 2014, Zhou, et al. built a symptom-based human disease network by mining biomedical literature database.
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Kannan, Venkateshan et al. "Conditional Disease Development extracted from Longitudinal Health Care Cohort Data using Layered Network Construction". Scientific Reports 6, 26170 (2016)
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In a symptom-based disease network, disease are also clustered according to their categories. Moreover, diseases sharing the same symptom are more likely to share the same genes and
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Barrenas, Fredrik, et al. "Network properties of complex human disease genes identified through genome-wide association studies." PLoS ONE 4.11 (2009): e8090.
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with reference to their genetic origins or other features. More specifically, it is the map of human disease associations referring mostly to disease
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Hidalgo, CĂ©sar A., et al. "A dynamic network approach for the study of human phenotypes." PLoS Computational Biology 5.4 (2009): e1000353.
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Vidal, Marc, Michael E. Cusick, and Albert-Laszlo Barabasi. "Interactome networks and human disease." Cell 144.6 (2011): 986-998.
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Goh, Kwang-Il, et al. "The human disease network." Proceedings of the National Academy of Sciences 104.21 (2007): 8685-8690.
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http://www.barabasilab.com/pubs/CCNR-ALB_Publications/200705-14_PNAS-HumanDisease/200705-14_PNAS-HumanDisease-poster.pdf
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Zhou, XueZhong, et al. "Human symptoms–disease network." Nature Communications 5 (2014).
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plot . Nodes are diseases. Two diseases are connected if they share a genetic component.
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https://web.archive.org/web/20080625034729/http://hudine.neu.edu/
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https://www.nytimes.com/2008/05/06/health/research/06dise.html
25: 57: 35: 221: 52:In 2007, Goh et al. constructed a disease-gene 39:Human disease network. It is generated as a 34: 222: 172: 170: 133: 131: 32:and proteins to associate diseases. 20:is a network of human disorders and 179: 167: 13: 128: 14: 241: 194: 158: 149: 140: 114: 1: 107: 64: 7: 80: 10: 246: 47: 122:"Jupyter Notebook Viewer" 56:using information from 44: 38: 18:human disease network 75:protein interactions 45: 237: 188: 183: 177: 174: 165: 162: 156: 153: 147: 144: 138: 135: 126: 125: 118: 102:Network medicine 245: 244: 240: 239: 238: 236: 235: 234: 220: 219: 197: 192: 191: 184: 180: 175: 168: 163: 159: 154: 150: 145: 141: 136: 129: 120: 119: 115: 110: 83: 67: 54:bipartite graph 50: 12: 11: 5: 243: 233: 232: 230:Network theory 218: 217: 212: 208: 203: 196: 195:External links 193: 190: 189: 178: 166: 157: 148: 139: 127: 112: 111: 109: 106: 105: 104: 99: 97:Network theory 94: 89: 87:Bioinformatics 82: 79: 66: 63: 49: 46: 9: 6: 4: 3: 2: 242: 231: 228: 227: 225: 216: 213: 211: 209: 207: 204: 202: 199: 198: 187: 182: 173: 171: 161: 152: 143: 134: 132: 123: 117: 113: 103: 100: 98: 95: 93: 90: 88: 85: 84: 78: 76: 71: 62: 59: 55: 42: 37: 33: 31: 27: 23: 19: 181: 160: 151: 142: 116: 72: 68: 51: 17: 15: 108:References 65:Properties 224:Category 81:See also 30:symptoms 22:diseases 48:History 92:Genome 41:Plotly 26:genes 58:OMIM 226:: 169:^ 130:^ 77:. 16:A 124:.

Index

diseases
genes
symptoms

Plotly
bipartite graph
OMIM
protein interactions
Bioinformatics
Genome
Network theory
Network medicine
"Jupyter Notebook Viewer"





https://web.archive.org/web/20080625034729/http://hudine.neu.edu/
http://www.barabasilab.com/pubs/CCNR-ALB_Publications/200705-14_PNAS-HumanDisease/200705-14_PNAS-HumanDisease-poster.pdf

https://www.nytimes.com/2008/05/06/health/research/06dise.html
Category
Network theory

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