title: Polygenic model for predicting breast cancer risk via genome-wide polymorphisms.
abstract: A polygenic model for predicting susceptibility to late-onset, sporadic forms of breast-cancer based on an individual's SNP profile was developed. The model was validated using a publicly available data set with genome-wide SNP markers for cases and controls. Preliminary results show that this method performs better than expected by chance.
authors.affiliation: University of Utah, Salt Lake City, UT, USA.
authors.forename: Stephen R
authors.initials: SR
authors.lastname: Piccolo
authors.forename: Nicola
authors.initials: N
authors.lastname: Camp
authors.forename: Lewis J
authors.initials: LJ
authors.lastname: Frey
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000235:genetics*; D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005260:Female; D020022:Genetic Predisposition to Disease / Q000453:epidemiology* / Q000235:genetics*; D005820:Genetic Testing / Q000379:methods; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D014589:Utah