title: Quantifying genomic variation at the individual level: putting the "person" in personalized medicine.
abstract: This project evaluates how the Rasch measurement framework can be used 1) to construct and interpret individualized genomic measures and fit statistics from nominal single nucleotide polymorphism (SNP) data and 2) to identify interaction patterns that are relevant to person-specific disease risk assessment, case management, and prevention.
authors.affiliation: Pennington Biomedical Research Center, Baton Rouge LA, USA.
authors.forename: Nathan J
authors.initials: NJ
authors.lastname: Markward
mesh_terms: D015894:Genome, Human; D005838:Genotype; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide