Type of Document Master's Thesis Author Huang, Wenhui Author's Email Address URN etd-12212009-174030 Title Towards constructing disease relationship networks using genome-wide association studies Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Zhang, Liqing Committee Chair Fan, Weiguo Patrick Committee Member Li, Liwu Committee Member Keywords
- Protein-Protein Interaction
Date of Defense 2009-12-07 Availability restricted AbstractBackground: Genome-wide association studies (GWAS) prove to be a powerful
approach to identify the genetic basis of various human diseases. Here we take
advantage of existing GWAS data and attempt to build a framework to understand the
complex relationships among diseases. Specifically, we examined 49 diseases from all
available GWAS with a cascade approach by exploiting network analysis to study the
single nucleotide polymorphisms (SNP) effect on the similarity between different
diseases. Proteins within perturbation subnetwork are considered to be connection
points between the disease similarity networks.
Results: shared disease subnetwork proteins are consistent, accurate and sensitive to
measure genetic similarity between diseases. Clustering result shows the evidence of
Conclusion: our results prove the usefulness of genetic profiles for evaluating disease
similarity and constructing disease relationship networks.
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