Exploring and exploiting disease interactions from multi-relational gene and phenotype networks.

ABSTRACT: The availability of electronic health care records is unlocking the potential for novel studies on understanding and modeling disease co-morbidities based on both phenotypic and genetic data. Moreover, the insurgence of increasingly reliable phenotypic data can aid further studies on investigating the potential genetic links among diseases. The goal is to create a feedback loop where computational tools guide and facilitate research, leading to improved biological knowledge and clinical standards, which in turn should generate better data. We build and analyze disease interaction networks based on data collected from previous genetic association studies and patient medical histories, spanning over 12 years, acquired from a regional hospital. By exploring both individual and combined intera

SUBMITTER: Davis DA 

PROVIDER: S-EPMC3146471 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature