Title page for ETD etd-12212009-174030

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
  • DiseaseRelationship
  • Network
  • GWAS
  • SNP
  • Protein-Protein Interaction
Date of Defense 2009-12-07
Availability restricted
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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