The human disease network

被引:2352
作者
Goh, Kwang-Il
Cusick, Michael E.
Valle, David
Childs, Barton
Vidal, Marc [1 ]
Barabasi, Albert-Laszlo
机构
[1] Univ Notre Dame, Ctr Complex Network Res, Notre Dame, IN 46556 USA
[2] Univ Notre Dame, Dept Phys, Notre Dame, IN 46556 USA
[3] Dana Farber Canc Inst, Dept Canc Biol, Boston, MA 02115 USA
[4] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
[5] Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA
[6] Korea Univ, Dept Phys, Seoul 136713, South Korea
[7] Johns Hopkins Univ, Sch Med, Dept Pediat, Baltimore, MD 21205 USA
[8] Johns Hopkins Univ, Sch Med, McKusick Nathans Inst Genet Med, Baltimore, MD 21205 USA
基金
美国国家科学基金会;
关键词
biological networks; complex networks; human genetics; systems biology; diseasome;
D O I
10.1073/pnas.0701361104
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 transcripts, supporting the existence of distinct disease-specific functional modules. We find that essential human genes are likely to encode hub proteins and are expressed widely in most tissues. This suggests that disease genes also would play a central role in the human interactome. In contrast, we find that the vast majority of disease genes are nonessential and show no tendency to encode hub proteins, and their expression pattern indicates that they are localized in the functional periphery of the network. A selection-based model explains the observed difference between essential and disease genes and also suggests that diseases caused by somatic mutations should not be peripheral, a prediction we confirm for cancer genes.
引用
收藏
页码:8685 / 8690
页数:6
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