A Dynamic Network Approach for the Study of Human Phenotypes

The use of networks to integrate different genetic, proteomic, and metabolic datasets has been proposed as a viable path toward elucidating the origins of specific diseases. Here we introduce a new phenotypic database summarizing correlations obtained from the disease history of more than 30 million patients in a Phenotypic Disease Network (PDN). We present evidence that the structure of the PDN is relevant to the understanding of illness progression by showing that (1) patients develop diseases close in the network to those they already have; (2) the progression of disease along the links of the network is different for patients of different genders and ethnicities; (3) patients diagnosed with diseases which…

• NS
  National Science Foundation

  Awards: 0426737, 0513650
• RW
  Robert Wood Johnson Foundation
• JS
  James S. McDonnell Foundation
• NI
  National Institutes of Health
• DO
  Division of Materials Research