title: Data mining tools for genotype-phenotype correlation.
abstract: Single Nucleotide Polymorphisms (SNPs) may be the key to diagnosing and treating certain diseases. A preliminary study was conducted at The Ohio State University Medical Center Information Warehouse to correlate such SNPs with a selected group of lab values for cardiology patients. Early results show that data mining tools can be valuable for understanding such correlations, but further refinement of the methodology and data preparation is needed to fully realize such value.
authors.affiliation: The Information Warehouse, The Ohio State University Medical Center, Columbus, OH 43201, USA.
authors.forename: Jianhua
authors.initials: J
authors.lastname: Liu
authors.forename: Jason
authors.initials: J
authors.lastname: Buskirk
authors.forename: Jennifer
authors.initials: J
authors.lastname: Santangelo
authors.forename: Ryan J
authors.initials: RJ
authors.lastname: Deiter
authors.forename: Audrey
authors.initials: A
authors.lastname: Papp
authors.forename: Glen E
authors.initials: GE
authors.lastname: Cooke
authors.forename: Woldgang
authors.initials: W
authors.lastname: Sadee
authors.forename: Jyoti
authors.initials: J
authors.lastname: Kamal
mesh_terms: D002097:C-Reactive Protein / Q000032:analysis; D002318:Cardiovascular Diseases / Q000097:blood / Q000235:genetics*; D005838:Genotype; D006801:Humans; D016247:Information Storage and Retrieval; D008055:Lipids / Q000097:blood; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide
chemical_list: D008055:Lipids; D002097:C-Reactive Protein