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	DiseaseRelationship Network GWAS SNP Protein-Protein Interaction
Date of Defense	2009-12-07
Availability	restricted
Abstract Background: Genome-wide association studies (GWAS) prove to be a powerful approach to identify the genetic basis of various human[1] 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 phenome similarity. Conclusion: our results prove the usefulness of genetic profiles for evaluating disease similarity and constructing disease relationship networks.
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